Hackers leaked details of more than 41,000 Homeland Security personnel
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A message lands on Telegram: βHi, Iβm Daniel from the security team at your exchange. We saw a login from a new device. Please confirm your wallet so we can protect your funds.β The profile photo shows the company logo. The English is good. Daniel is patient, and he knows your username.
Daniel does not work at the exchange. He works for a scam crew, and the βconfirm your walletβ link empties yourΒ wallet.
People reported losing $3.5 billion to imposter scams in 2025, and nearly $1 billion of that went to people pretending to be a business, according to the FTCβs June 2026 report. The FBIβs figure for crypto is bigger. Victims told its Internet Crime Complaint Center they lost $11.4 billion to crypto-related crime in 2025, more than half of all the losses it counted that year (IC3 2025Β report).
A lot of those losses started the same way. Someone claimed to work for a company, and the victim took their word for it. Some victims did not know how to check. Others saw a familiar name, a logo and a confident tone, and felt noΒ need.
The checks run from a 30-second test to reading the hidden part of an email. If you only have time for two, use the first and the tenth: both are free, and both are very hard for a scammer toΒ fake.

Never use the contact details a stranger gives you to check that stranger.
If βDanielβ sends you a phone number, a website or an email address and says βcontact us here to confirmβ, all three belong to Daniel. Calling the number he gave you only proves that Daniel answers his ownΒ phone.
Every check in this list works the same way. You find the companyβs official channel yourself, from a source the stranger did not hand you. Then you ask that channel whether the person isΒ real.
It looks official, so we assume it is. A logo, a job title and a company name take a minute to copy. Real staff photos sit on LinkedIn and on company βTeamβ pages for anyone to download.
They already know something about us. Your username, your last order or the exchange you use is often public, or leaked in a data breach. Knowing those details says nothing about who the senderΒ is.
There is a clock. βYour account will be frozen in 30 minutes.β The deadline is there to stop you checking. A real company will still exist after you spend ten minutes confirming.
The more urgent the message, the slower you shouldΒ move.
Type the companyβs address into your browser by hand, or use a bookmark you saved earlier. Skip links in the message and skip search ads, because scammers buy ads for fake support pages. Find the support page or contact form and ask: βSomeone called Daniel, Telegram @daniel_sec_team, says he works on your security team and contacted me today. Is thatΒ real?β
Example. A βrecruiterβ emails about a job at a well-known firm. You open the firmβs careers page from a bookmark. The role is not listed, and the HR address on the page is another one. The recruiter does not work for theΒ firm.
The catch is speed. If support takes two days to reply, wait two days, and do nothing the stranger asks in the meantime.
Many crypto exchanges now run a page where you paste a username, email, phone number or link, and it tells you whether the contact is official. Three examples:
Example. βBinance supportβ adds you on Telegram as @BinanceSupportDesk. You paste the handle into Binance Verify, and it comes back as not official. Block the account and reportΒ it.
Reach these tools by typing the exchangeβs main address yourself and looking in its Help Center for βverifyβ or βofficial channelβ. If the stranger sends you a link to a βchecking toolβ, that link is theΒ trap.
A tool can confirm that an address belongs to the company. It cannot confirm that an email really came from that address, because the From line can be forged. Bybitβs own help page warns about this. For email, add checkΒ 5.
Ask the person to prove it on a channel only the company controls. Better still, contact that channel yourself. Here is a message you canΒ send:
βBefore I continue, please send me a DM from @ExampleExchange, the official account, confirming you work there and what this is about. Or I can DM that account andΒ ask.β
A real employee will say βsureβ or send you to the official support channel. A scammer will make excuses: βThat account is for marketing onlyβ, βour team canβt access itβ, βthis is confidential.β Each of those excuses means the person cannot proveΒ it.
Make sure you have the right official account. Open it from a link on the companyβs own website, since search results can show copycat accounts. It should have years of posts and the follower count you wouldΒ expect.
Then look for Xβs affiliate badge. Companies that pay X to verify their brand can link their staff accounts. An affiliated employee shows a small copy of the companyβs profile picture next to their name, and tapping it opens the companyβs account. A plain blue tick on a personal account says nothing about employment, because anyone can buyΒ one.
Official accounts do get hacked. If the official account suddenly DMs you first with a link, treat that as suspicious too. Most companies never start private conversations about yourΒ account.
A real employee can email you from a work address in a minute. Ask for it. A recruiter or βpartnerβ who only uses Gmail, Outlook.com, Telegram or WhatsApp fails thisΒ test.
Then read the address slowly. Say the real company is Example Exchange at example.com. Each of these addresses isΒ fake:
Two more things to check in the sameΒ email:
A correct domain is a good start. On its own it can still be forged, which is why check 5 comesΒ next.
Every email carries test results that show whether it really came from the domain in the From line. Your inbox runs these tests already. You just have toΒ look.
In Gmail, open the email, click the three dots and choose βShow originalβ. In Outlook, open the message, then More actions, View, βView message sourceβ. In Apple Mail, choose View, Message, RawΒ Source.
Find the line that starts with Authentication-Results. A real email from example.com looks likeΒ this:
dkim=pass header.d=example.com; spf=pass smtp.mailfrom=example.com; dmarc=pass header.from=example.com
In plainΒ words:

Warning signs: dmarc=fail, spf=fail, dkim=none, or a pass for some other domain, such as dkim=pass header.d=bulk-mailer-7.net on an email that claims to be from example.com.
Example. An email from βsecurity@example.comβ asks you to reset your password. Gmailβs βShow originalβ says dmarc=fail header.from=example.com. The From line is forged. Delete theΒ email.
A DMARC pass means the email left a mail system the company approved. A hacked staff mailbox passes too, and forwarded emails sometimes fail SPF while being genuine. Treat the result as strong evidence and combine it with the otherΒ checks.
Raw email source is hard to read. A chatbot such as ChatGPT, Claude or Gemini can read it for you and point at the parts that lookΒ wrong.
βBelow is the raw source of an email, including headers and HTML. I think it may be a phishing email pretending to be from example.com. Please check: (1) Do SPF, DKIM and DMARC pass, and for which domain? (2) Does the From address match the Return-Path and Reply-To? (3) List every link in the HTML and show where it really points, compared with the text shown to me. (4) Are any domains lookalikes of example.com? (5) Anything else suspicious? Quote the exact lines you relyΒ on.β
AI is good at this job. It will catch a link whose visible text says https://example.com/login while the code behind it points to https://example-com.login-verify.app, and it spots lookalike domains and hidden text far faster than most peopleΒ do.
Example. You paste a βyour withdrawal is on holdβ email. The chatbot lists four links. Three go to example.com. The βRelease fundsβ button goes to a domain nobody at the company owns, and that button is theΒ scam.
Chatbots also make mistakes in both directions. An email that βlooks fineβ to a chatbot can still come from a hacked real account. Make it quote the lines it relies on, then check those lines yourself. Never paste passwords, seed phrases or one-time codes into anyΒ chatbot.
Before you click anything, hover over the link on a computer, or press and hold it on a phone, to see the real address. Read the domain from the right, as in checkΒ 4.
Then look up when the domain was created. Paste it into the ICANN lookup and check the βCreatedβ date. A company that has existed for ten years does not send security alerts from a domain registered lastΒ Tuesday.
Example. A βpartnership managerβ from a known crypto project emails from bd@exampleprotocol-team.com. ICANN lookup shows the domain was created nine days ago. The project's real site has used a different domain sinceΒ 2021.
A brand-new domain is a strong warning sign. An old domain proves less, because some scam domains sit unused for months before they areΒ used.
A LinkedIn profile is easy to fake. A good fake still leaves gaps you canΒ spot.
A long history plus a workplace check is good evidence that the person exists and works there. It does not show that the person messaging you on another app is the same person, so always confirm on the profileΒ itself.
Many companies publish who speaks forΒ them:
Example. You post a question in a projectβs Discord, and βMod Alexβ sends you a private message offering help. You check the serverβs member list. The real Alex has a staff role and a different username. The account in your DMs joined the server yesterday.
Lists go stale when people leave, so when the stakes are high, confirm with check 1 asΒ well.
If someone phones you from βthe companyβ, hang up and call the number on the companyβs website or on the back of your card. Ask to be put through to that person or department.
Example. βYour bankβs fraud teamβ calls and asks you to move savings to a βsafe accountβ. You hang up and dial the number printed on your bank card. The bank has no record of the call. The FTC says bank impersonators caused the largest reported losses among business imposters in 2025, and these scams often end with victims persuaded to move money to βprotectβ it.
This check is hard to beat. Use another phone if you can, because some scams keep the line open after you hangΒ up.
Crypto has a check that nobody can fake without the private key. If a project or team member claims to control a wallet the project lists publicly, ask them to sign a message withΒ it.
A valid signature proves the signer controls that wallet. Whether the wallet belongs to the project depends on where you found the address, which is why step 1Β matters.
Plenty of people still treat a video call as the final word. Since 2024 that has been a costly habit. In January 2024, a finance employee at the Hong Kong office of engineering firm Arup joined a video call with what looked like the companyβs CFO and other colleagues. Every other face on the call was a deepfake. The employee made 15 transfers worth HK$200 million, about $25.6 million, before checking with the head office, Hong Kong police said. Arup later confirmed to CNN that fake voices and images wereΒ used.
If a video call is part of the story, confirm through a second channel you found yourself: the company switchboard, the official X account or a work email you already confirmed with checks 4 and 5. Ask for a calendar invite sent from the company domain, and run check 5 onΒ it.
Spend a minute on a webΒ search:
Also look for the companyβs own warnings. Many companies publish lists of fake domains and copycat tricks on their blog or HelpΒ Center.
If others have reported the same handle or domain, you know it is a scam within a minute. An empty search proves nothing, because a new scam has no reportsΒ yet.
Some requests are scams however well the person passes these 13 checks, because a hacked real account can pass every test. Nothing makes these requestsΒ safe:
When you see one of these, stop. You donβt owe anyone a politeΒ goodbye.
The message. β@ExampleEx_Supportβ writes: βYour withdrawal is stuck. Connect your wallet at example-unlock.com to releaseΒ it.β
The checks.
Verdict. Scam. Block the account and report it to the exchange and to Telegram.
The message. A LinkedIn profile titled βSenior Talent Partner at Example Labsβ offers $180,000 for a remote developer role. The next step is a βtechnical testβ: download a code repository and run it on yourΒ laptop.
The checks.
Verdict. Scam. If you already ran the code, treat the laptop as compromised. Move any crypto to a new wallet created on a clean device, and change your passwords from thatΒ device.
The message. βHi, I lead business development at Example Exchange. Weβd like to list your token. Please sign the attached agreement and pay the $15,000 listing deposit.β
The checks.
Verdict. Scam. The email passed DMARC for its own lookalike domain, which is why reading the domain letter by letter (check 4) comes before the headerΒ check.
Before you share anything, pay anything or click anything:
If any line fails, stop and confirm through a channel you found yourself.
Act in thisΒ order:
Contact the company through a channel you found yourself, such as its official website or official X account, and ask whether the person works there. Back that up with the companyβs checking tool if it has one, a work email from the real domain that passes DMARC, and LinkedInβs workplace check.
Yes. Anyone can buy a blue checkmark, and it says nothing about employment. On X, staff linked to a verified company show an affiliate badge, a small copy of the companyβs logo next to their name. Official accounts can still be hacked, so pair the badge with a secondΒ check.
No. The From address can be forged, which is why you check for dmarc=pass in the raw headers. A real staff mailbox can also be hacked, and a hacked mailbox passes every check. If the email asks for anything on the requests list, treat it as a scam even when the headersΒ pass.
AI is very good at reading raw email source and finding fake links, lookalike domains and failed SPF, DKIM or DMARC results. It still makes mistakes. Use it to point at the suspicious lines, check those lines yourself, and remove your personal details before youΒ paste.
Most large crypto exchanges say their staff will not start private chats about your account and will never ask for funds, passwords or codes. Check the companyβs Help Center for its own policy, and treat any unprompted private message as unconfirmed until you checkΒ it.
Ask for an email from the company domain, find the role on the companyβs own careers page, and search the recruiterβs name on the companyβs LinkedIn People tab. Never pay a fee, buy equipment through the recruiter, or install software as part of an interview.
Stop replying, block the account, and report it to the real company and to the platform where you met. If you shared anything or sent money, follow the steps under βIf you already replied orΒ paidβ.
Gaurav Agarwal writes about crypto security and on-chain investigations. If a scam message reached you that these checks did not cover, describe it in the comments, without personal details, and I will add a check forΒ it.
How to Verify Someone Really Works for a Company: 13 Checks was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
INJ3CTOR3 has expanded its FreePBX toll-fraud campaign with automated credential theft, letting attackers keep billing unauthorized calls to victims even after infected servers are cleaned. September 2026 artifacts described in the supplied research show the installer targeting 17 configuration files containing telephony, database, management, and mail-relay secrets. The change separates the attackerβs revenue stream from [β¦]
The post INJ3CTOR3 Malware Steals FreePBX Credentials to Enable Fraudulent Calls Even After Server Cleanup appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

CISA has added CVE-2026-111497, a critical vulnerability in Google Brotli that affects Node.js, to its Known Exploited Vulnerabilities catalog following confirmed evidence of exploitation. Added on October 27, 2026, this flaw allows unauthenticated attackers to corrupt memory, disrupt services, disclose sensitive information, or potentially execute arbitrary code through maliciously crafted compressed streams. Federal agencies have [β¦]
The post CISA Warns of Active Attacks Exploiting Critical Node2Shell RCE Vulnerability in Node.js appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Security researchers have demonstrated an attack chain against Cloudflareβs Image Transformations service that bypasses SVG sanitization and Content Security Policy (CSP), enabling malicious JavaScript execution on a targeted websiteβs origin. Published on October 28, 2026, the research combines an XML serialization flaw, Chromium cache behavior, and redirects that circumvent image source restrictions. Exploitation depends on [β¦]
The post Cloudflare Image Transformation Flaw Allows Hackers to Bypass CSP and Execute Malicious JavaScript appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Security researchers at OffensiveCon Japan 2026 explored topics including Chrome sandbox escapes, zero-click attack surfaces in Telegram, and newly discovered iOS zero-day vulnerabilities. This two-day program took place on October 27β28. The published agenda also covered hypervisor exploitation, Windows privilege escalation, Linux kernel techniques, and AI-assisted security research. However, session titles alone do not indicate [β¦]
The post Security Researchers Demonstrate Chrome Sandbox Escapes, Telegram Zero-Click Attacks and iOS Zero-Day Research appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Attackers are using compromised websites to present fake Cloudflare verification pages that steer Windows and macOS users toward executing malicious commands. The findings establish a delivery attempt, not a confirmed infection or identified malware family. The activity exploits the familiarity of browser security checks. Instead of completing a legitimate verification, visitors receive instructions intended to [β¦]
The post Hackers Turn Compromised Websites Into Fake Cloudflare Verification Traps for Windows and Mac Users appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

WordPress has released version 7.1.4 to address 22 vulnerabilities, including issues related to remote code execution, stored cross-site scripting, information disclosure, and authorization weaknesses. This security update was published on October 28, 2026, and it is recommended that users upgrade immediately. The fixes encompass core functionality, including content blocks, administrative screens, the Customizer, and the [β¦]
The post WordPress 7.1.4 Security Update Patches 22 Vulnerabilities Affecting Millions of Websites appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

CyberDakait, a financially motivated Android malware operation targeting Indian banking customers since July 2025. Researchers identified at least 17,960 compromised devices and 7,611,443 intercepted SMS messages, exposing a campaign that combines banking credential theft, remote device control, and cryptocurrency mining. Although their technical implementations differ, Group-IB clusters them together because of overlapping distribution methods, phishing [β¦]
The post CyberDakait Hackers Target Indian Banking Users, Compromise 17,960 Android Devices appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

PCredz is a network credential analysis tool that examines packet captures to identify potentially exposed authentication data. Security professionals can use it to investigate insecure protocols, understand credential exposure, and identify weaknesses in network authentication.
Welcome back, fellow cybersecurity enthusiasts!
In this tutorial, we will explore PCredz, a tool used for network traffic analysis, credential exposure assessment, PCAP analysis, and authentication security testing. Rather than manually inspecting every packet, PCredz can help identify supported authentication artifacts within captured network traffic.
Understanding how credentials travel across a network is an important part of ethical hacking, penetration testing, incident response, and defensive cybersecurity. Analyzing these artifacts can help organizations discover legacy authentication protocols and reduce the risk of credential theft.
Official GitHub repository: PCredz on GitHub
PCredz is an open-source tool designed to extract supported credential artifacts and other sensitive information from network packet captures. It is useful when examining traffic generated by older protocols or authentication mechanisms that may expose sensitive information.
Depending on the protocol and the available packet data, PCredz can identify artifacts associated with authentication mechanisms such as NTLM and Kerberos, as well as certain HTTP authentication methods and credentials associated with services such as FTP, POP, SMTP, and IMAP.
It may also identify other sensitive data patterns, including certain payment-card number patterns and SNMP community strings. Detection depends on the capture contents, protocol support, and tool version.
A critical distinction is that finding an authentication artifact does not automatically mean that a valid, reusable password has been recovered. Some protocols expose hashes, challenge-response exchanges, or other material that requires further analysis.
PCredz can process supported packet capture files, making it useful for investigating previously recorded traffic. PCAP files may contain evidence of insecure authentication, accidental data exposure, or legacy protocols that should be reviewed.
The tool can help identify supported authentication-related data, including certain NTLM and Kerberos artifacts. These findings can support a wider security assessment of authentication configurations and network exposure.
Depending on the captured traffic and implementation, the tool can inspect authentication exchanges associated with several common network services. Support for IPv4 and IPv6 traffic also makes it relevant to mixed network environments.
PCredz can write discovered artifacts to output files, including a credential dump file. Structured output helps security analysts review findings, document evidence, and investigate potential exposure without manually collecting every result.
PCredz is relevant to both offensive security assessments and defensive network investigations when its use is explicitly authorized.
Security teams can analyze approved packet captures to determine whether legacy services or authentication configurations expose sensitive data. The results can help prioritize the migration of insecure services and the improvement of network segmentation.
During an investigation, analysts may inspect existing packet captures for authentication artifacts associated with suspicious activity. Any discovered credentials or hashes should be handled as sensitive evidence and stored securely.
Older business environments may still contain services that use outdated authentication mechanisms or transmit information without adequate protection. PCredz can help identify evidence of these weaknesses when relevant traffic is available.
In a controlled lab, PCredz can demonstrate why encrypted transport, modern authentication, and strong network security policies matter. Students can compare insecure and secure authentication configurations using traffic generated specifically for the exercise.
PCredz is available through its official GitHub repository. Before installation, review the repository's current instructions and dependencies. The commands below illustrate a basic Linux setup; exact requirements may vary with the current version of the project and your distribution.
On Debian-based systems, such as Kali Linux, update the package index and install Python virtual environment support and relevant development dependencies.
sudo apt update
sudo apt install python3 python3-venv python3-pip
sudo apt install libpcap-dev file git
git clone https://github.com/lgandx/pcredz.git
cd pcredz
A Python virtual environment keeps project dependencies separate from system-wide Python packages. This is particularly useful on recent Kali Linux and Debian releases, where system Python environments are managed by the operating system.
python3 -m venv pcredz-env
source pcredz-env/bin/activate
Check the repository for its current dependency instructions before installing packages. If the project provides a requirements file, review it and install the documented dependencies inside the activated environment.
python -m pip install --upgrade pip
# If the repository provides requirements.txt:
python -m pip install -r requirements.txt
Do not assume that every version of PCredz uses the same dependency list. If installation fails, consult the official repository documentation and the error message before changing system packages.
Live traffic analysis involves examining packets as they pass through a network interface. It can help authorized network administrators identify insecure authentication exchanges and investigate suspicious network activity.
Before performing live capture, identify the correct interface and verify
that the capture is approved by the network owner. Interface names differ
between systems, so do not assume that every machine uses eth0.
To list available interfaces, use:
ip -br addr
For an authorized assessment, follow the current usage instructions provided by the official PCredz repository. Confirm that the selected interface is appropriate and that the capture scope is limited to the approved environment.
Capturing on an interface does not guarantee visibility into all network traffic. Switching infrastructure, VLAN configuration, Wi-Fi encryption, virtualization, and network topology can affect which packets are observable.
Offline PCAP analysis allows investigators to examine previously captured network traffic without continuously monitoring a live interface. This can be useful for incident response, security audits, and controlled training exercises.
PCAP files are commonly generated by packet analysis tools such as Wireshark and tcpdump.
Open the authorized PCAP file in Wireshark and examine the relevant protocols, endpoints, and authentication exchanges. Display filters can help narrow the investigation to specific protocols or conversations.
When reviewing a capture, pay particular attention to:
When using PCredz against an authorized capture, consult the current repository documentation for the supported command-line options.
The project's documented usage includes options for processing a capture file or a directory of captures. Confirm the precise syntax for your installed version before running an analysis.
After processing, store the results in a protected directory. Review the output carefully, because a discovered artifact may require additional context before it can be classified as a security finding.
PCredz and Hashcat serve different purposes in a security assessment.
PCredz identifies supported credential-related artifacts in captured network traffic. Hashcat is a password recovery and password-strength auditing tool that supports many hash formats.
Some authentication artifacts identified by PCredz may be suitable for further analysis with a compatible password-auditing tool. Compatibility depends on the exact artifact format, the protocol, and the supported mode in the installed version.
For example, Hashcat documents different modes for certain NTLM and Kerberos-related formats. A mode number must not be selected solely from a generic label: analysts should verify the exact format against the official documentation.
Hash analysis can help organizations determine whether their password policies resist common guessing attacks. A recovered password, however, does not by itself establish that an account is currently accessible or that the account has elevated privileges.
Official resource: Hashcat.
Credential exposure can allow an attacker to impersonate users, access internal services, or attempt further compromise. The actual risk depends on the credential type, account privileges, network architecture, and additional security controls.
Replace insecure protocols with appropriately configured encrypted alternatives. Use HTTPS for web applications and secure configurations for remote administration, email, and file transfer.
Use modern authentication mechanisms wherever possible. Disable obsolete authentication methods when they are no longer required, and enforce multifactor authentication for sensitive accounts and remote access.
Encourage unique passwords and use an approved password manager. Privileged accounts should have separate credentials and carefully controlled access.
Give users and services only the permissions they need. Segment sensitive systems and restrict unnecessary communication between network zones.
Monitor authentication logs for suspicious access, repeated failures, unusual source systems, and unexpected use of privileged accounts. If credential exposure is confirmed, follow the incident response process, rotate affected credentials, and revoke compromised sessions where appropriate.
No. PCredz is primarily used to identify supported artifacts in network traffic. Whether a password can be recovered depends on the data captured, the authentication protocol, and the availability of a compatible analysis method.
No. Properly configured HTTPS encrypts application traffic in transit. A normal packet capture generally cannot reveal the protected application contents simply because PCredz is being used.
Not necessarily. A hash or authentication exchange must be assessed in context. Its security impact depends on the protocol, account status, password strength, and whether the artifact can be abused.
No. Live capture may help investigate current activity, while offline analysis is often more suitable for examining preserved evidence. The right approach depends on the investigation scope, authorization, and operational requirements.
PCredz is a useful tool for understanding credential exposure in network traffic. By examining authorized packet captures, cybersecurity professionals can identify authentication artifacts, investigate legacy protocols, and discover weaknesses that require remediation.
However, the value of PCredz goes beyond extracting data. Its findings can help organizations improve encryption, modernize authentication, reduce password reuse, and strengthen their incident response practices.
For anyone learning network security, the key takeaway is simple: understanding how authentication data moves across a network is essential to protecting it.
For more cybersecurity tutorials, ethical hacking resources, OSINT guides, and network security insights, visit Hackersking.
A newly disclosed data leak has exposed personal and professional information on more than 40,000 U.S. Department of Homeland Security employees, including personnel in surveillance, human intelligence, and undercover operations. Distributed Denial of Secrets announced the publication on October 28. It attributed the information to an entity calling itself βDepartment of Peace.β The reported exposure [β¦]
The post US Homeland Security Data Breach Exposes Personal Details of Over 41,000 Employees appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Hackers chained PHP2Shell vulnerabilities with a Linux kernel privilege escalation flaw to gain root access on 25 servers, including three systems associated with a United States government-affiliated environment, according to Dream researchers. Discovered on October 25, the operation progressed from exposed firewall management interfaces to credential theft, persistent tunneling, and Active Directory reconnaissance. Dream recovered [β¦]
The post Hackers Exploit PHP2Shell Vulnerabilities to Gain Root Access on 25 Firewall Servers appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

TL;DR: Ethereum Foundation researchers are examining native transaction assertions that could make transaction safety depend on the final state as well as the signed instructions. The official source also identifies specific limits or future steps, so implementation and market impact should not be assumed.
Ethereum Foundation researchers are examining native transaction assertions that could make transaction safety depend on the final state as well as the signed instructions. For digital-asset markets, the important issue is less the announcement in isolation than the channel through which it could affect users, capital or network activity. The latest development deserves attention, but its relevance depends on the facts published by the organisation behind it and the work still required to make it matter.
The foundation describes blind signing and uncertain execution outcomes as distinct ways users can approve actions with unwanted results. The research explores checks that inspect net balance, storage or code changes after execution and revert the transaction if a required rule fails.
EIP-7906 is a possible route, using a read-only post-transaction frame to evaluate changes and events before accepting the outcome. The foundation states that EIP-7906 is under consideration, not yet confirmed for a future upgrade, and would still require wallets or protocols to enforce a rule.
A transaction signature proves authorisation of certain bytes; it does not by itself guarantee that a complex smart-contract interaction achieves the signerβs economic objective. Independent checks over final balances or approvals could narrow that gap. Yet they introduce design choices about who defines the rule, how much gas it costs and whether third-party software can silently omit it.
Blockchain infrastructure does not improve in a vacuum. Engineers must consider existing applications, node operators, client compatibility and how errors behave under stressed conditions. A change that appears straightforward at the protocol level can create a demanding coordination problem. That distinction matters to investors trying to separate a plausible structural change from a headline that may not immediately move price or onchain activity.
This is research and proposal-level work, not a new safety guarantee available for ordinary Ethereum transactions today. Assertions sourced from a compromised interface could still encode a harmful outcome.
Performance claims also require careful definitions. Throughput, finality, responsiveness, cost and fault tolerance are different measurements. Improving one does not automatically improve all of them, especially when a wallet, exchange or application adds its own confirmations.
Ethereum native transaction assertions sits within a wider shift toward wallet security. This area has a recurring challenge: the benefits are easiest to describe before the operational details are complete. Different stakeholders measure success differently. A user wants clarity and predictable access; an operator wants reliable controls and manageable costs; an institution wants accountability if something fails. Those perspectives can be in tension, and the source announcement should be read with that in mind.
The distinction also shapes how to read future updates. A new partnership, proposal or software version is a verifiable milestone. Adoption, consistent performance and financial effects require additional evidence. That is why follow-up reporting should distinguish released features, planned features and measured use rather than combining them into one claim.
Watch for EIP governance, wallet implementations, protocol support and testing of the proposed state-difference opcodes.
The operational test comes after the proposal or release note: can different client teams implement it, can developers upgrade safely and can users rely on it when activity spikes? That is the difference between an attractive design and durable infrastructure. The next evidence should come from official implementation updates and measurable outcomes, not from assuming that a news release guarantees adoption or a token-price response.
Primary source: Ethereum native transaction assertions (published 2026-10-05).
This article was written by the News Desk and edited by Samuel Rae.

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