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Today β€” 29 October 2026Main stream

Password Cracking: Stealing Credentials with PCredz

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

1. What Is PCredz?

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.

2. Key Features and Capabilities of PCredz

Network Packet Capture 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.

Authentication Artifact Identification

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.

Multiple Protocols

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.

Structured Output

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.

3. When Would You Use PCredz?

PCredz is relevant to both offensive security assessments and defensive network investigations when its use is explicitly authorized.

Internal Security Assessments

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.

Incident Response

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.

Legacy Protocol Audits

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.

Security Training and Research

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.

Important: Only inspect traffic that you own or are explicitly authorized to analyze. Captured network traffic can contain personal information, session tokens, credentials, and other confidential data.

4. Installing PCredz on Linux

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.

Step 1: Install the Required Packages

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

Step 2: Clone the Official Repository

git clone https://github.com/lgandx/pcredz.git
cd pcredz

Step 3: Create a Virtual Environment

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

Step 4: Review and Install Dependencies

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.

5. Understanding Live Network Traffic Analysis

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.

6. Analyzing Existing PCAP Files

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.

Inspecting a Capture with Wireshark

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:

  • Services that use unencrypted or inadequately protected communication.
  • Authentication exchanges involving legacy protocols.
  • Unexpected connections to internal services.
  • Sensitive information accidentally included in application traffic.
  • Repeated authentication failures or unusual communication patterns.

Using PCredz for Offline Analysis

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.

Evidence-handling tip: Preserve the original capture, record its cryptographic hash when appropriate, document the analysis environment, and restrict access to extracted data. Avoid transferring confidential PCAP files to third-party systems unless that transfer is explicitly authorized.

7. PCredz and Hashcat: Understanding the Difference

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.

8. Security Risks and Defensive Measures

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.

Use Encrypted Protocols

Replace insecure protocols with appropriately configured encrypted alternatives. Use HTTPS for web applications and secure configurations for remote administration, email, and file transfer.

Strengthen Authentication

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.

Reduce Credential Reuse

Encourage unique passwords and use an approved password manager. Privileged accounts should have separate credentials and carefully controlled access.

Apply Least Privilege

Give users and services only the permissions they need. Segment sensitive systems and restrict unnecessary communication between network zones.

Monitor and Respond

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.

9. Common Misconceptions About PCredz

Does PCredz Crack Every Password?

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.

Can It Read Every HTTPS Password?

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.

Does Finding a Hash Mean an Account Is Compromised?

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.

Is Live Capture Always Better Than Offline Analysis?

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.

10. Conclusion

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.

Topics covered: PCredz tutorial, PCredz Kali Linux, network credential analysis, PCAP analysis, network traffic analysis, NTLM authentication, Kerberos authentication, Hashcat, password security, ethical hacking tools, cybersecurity tools, incident response, network security, penetration testing, information security.
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Before yesterdayMain stream

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Social Engineering: Exploiting Human Psychology in Offensive Security

15 October 2026 at 10:07

Welcome back, aspiring pentesters!

Social engineering is one of the most important parts of pentesting, and in many real attacks it’s the part that decides whether the whole operation succeeds or fails. Sometimes it even makes the technical side easier.Β 

Earlier we looked at BadUSB attacks and several persistence methods, and those examples already showed how much can be done when a person simply plugs in a device or follows a convincing instruction. In a pentest, you can achieve real impact after just walking into an office and interacting with the environment without breaking into the corporate network remotely and hoping some serious vulnerability was left unpatched.

Many pentesters are stronger with systems than with people in everyday life. That’s one reason they gravitate toward technical work. Social engineering forces them to step out of that comfort zone even further. But understanding how people make decisions is a practical skill. When you design a scenario with human behavior in mind, the success rate of your interactions can rise. That’s why both red teams and blue teams will benefit from it.Β 

Evolutionary Legacy

The brain is an old application. It’s software that has been running for thousands of years. New features have been added over time, but the core logic was never fully rewritten. Different developers came and went. Some old functions were never documented. Some code paths were never reviewed. The system kept growing, but the original structure remained inside it.

That is a pretty good description of the human brain.

Our brains are the result of evolution, and the most vulnerable mechanisms are often the oldest ones. These mechanisms helped our ancestors survive in situations where there was no time for deep analysis. We cannot delete that legacy. We can only learn to control it at a higher level of thinking. But the older layer is still there, and every person remains vulnerable to it in the right conditions.

Who Is More Vulnerable?

If you follow the media, you might get the impression that older people are always the easiest targets. Stories about elderly victims are emotionally powerful, so they get more attention. But that does not mean the data supports the stereotype in a simple way. Europol statistics on fraud victims who reported to the police show that the 18-34 age group made up 27.7 percent of victims, the 35-54 group 23.4 percent, the 55-64 group 21.7 percent, and the 65+ group 18.5 percent. That already shows that younger adults are very much in the picture. And that is only the official reporting side.

Age itself does not seem to make a person automatically more or less likely to be deceived. Cognitive ability also does not give the protection many people assume. A joint study by several American universities involving 1,220 participants found no meaningful correlation between cognitive ability and the likelihood of becoming a fraud victim. So being smart does not make you immune. Even very intelligent people can be tricked. Paul Frampton, a respected particle physicist and Nobel Prize candidate, was caught in a simple dating scam that led him to attempt to carry cocaine across a border. That case became famous not because he was foolish, but because it showed that intelligence alone does not protect a person from manipulation.

Vulnerable Optimization

The human brain has barely changed in size for thousands of years, but the amount of information we ask it to process has exploded. An ancient Greek farmer had roughly our brain and a tiny fraction of our information load. Today we face constant messages, deadlines, alerts, meetings, and decisions.

To cope, the brain optimizes. One of its oldest shortcuts is stereotypical sequential behavior (SPB). I’ve seen something like this before, so I’ll react quickly instead of thinking it through. This saves energy and speeds up decisions, which was vital for our ancestors since a fast response to danger could save a life. It’s the short route in thinking, faster and cheaper than analysis, and usually good enough.

Giving a logical reason can raise the success rate, but surprisingly, even a meaningless reason works almost as well. The brain didn’t evaluate the explanation, it simply reacted to the fact that one existed.

A phishing email with a short explanation (edited). Source: CaniPhish

Brain DoS

One of the easiest ways to force the brain into this energy-saving mode is to overwhelm it.

Emotional overload is one method. If someone triggers fear, stress, panic, or even strong excitement, they reduce the victim’s ability to think clearly. A frightened person doesn’t evaluate things carefully. They react, and that reaction is often automatic. Positive excitement can work too.

Hackers try to flood the brain with too much information from too many channels at once. A person trying to write a document, answer messages, listen to a coworker, and process notifications in the background will burn out mentally pretty fast. In that state, analysis gets difficult and the brain starts skipping into automatic behavior. That’s why overload is such a powerful social engineering tool. It pushes people away from deliberate thinking and into fast reaction.

A phishing email exploiting fear. Source: CaniPhish

Most Common Psychological Exploits

The psychology of influence contains many principles, and they show up everywhere, in marketing, advertising, sales, politics, therapy, and more. But for a hacker writing a phishing email or planning a phone script, only a few of these tend to matter most.

The three big ones are authority, scarcity, and consistency.

Principle of Authority

People naturally trust experts in areas where they themselves aren’t experts. If someone appears qualified, successful, wealthy, or powerful, we tend to listen. That’s part of how we navigate the world.

The real vulnerability is that authority can be faked.

People use white coats on television to sell toothpaste. So-called success coaches pose in front of expensive cars or Dubai skyscrapers to create an illusion of status. Well-known restaurant chains use actors from popular TV shows to advertise food. That’s exactly how fake authority works. The external costume creates the internal belief.

The Milgram experiment is a good demonstration of this. In 1963, participants were willing to obey an authority figure even when it made them uncomfortable and conflicted with their own moral instincts. The lesson is that authority has a very real psychological effect. Evolution plays a part here too. Human society developed through division of labor, and that made us more dependent on specialists. We got used to trusting experts. Hackers abuse that instinct all the time.

Here’s an example of a phishing email that appears to come from a manager and can’t be ignored.

A phishing email exploiting the principle of authority (edited). Source: CaniPhish

Principle of Scarcity

Scarcity is about the fear of missing out. People value things more when they are rare, limited, or disappearing. A product that says β€œonly three left” feels more urgent. A limited-time offer feels more valuable. Even when the item is not actually better, scarcity makes it feel that way. This is an old human pattern. Imported or hard-to-find goods often seem more valuable than ordinary local alternatives, even when they are not objectively better. The absence of abundance created desirability.

Principle of Consistency

Consistency is one of the least obvious but most effective manipulation principles.Β 

People prefer to be consistent with their earlier actions and statements. Society rewards consistency. A person who constantly changes their opinion is often viewed as unreliable or weak. A person who follows through is seen as stable and trustworthy. That social pressure matters a lot.

The problem is that being consistent is not the same as being correct. Once a person takes an initial step, they often become more willing to continue in the same direction. That saves mental energy and reduces self-doubt. It also fits the brain’s tendency to follow a behavioral script instead of starting analysis from scratch each time. Patricia Pliner’s study showed this clearly. Participants who first wore a badge supporting cancer research were later much more willing to donate to the cause. The first small commitment made the second one easier.

When a victim has already made a small commitment, continuing becomes easier than stopping.

Exploitation

To turn these principles into real social engineering operations hackers build scenarios. That scenario is most effective in a phone call, because a call allows hackers to guide the victim step by step and react to hesitation. Email phishing can also use these ideas, but the room for dynamic adaptation is smaller. The best phishing messages are not necessarily the loudest. They are the ones that fit the target’s mental state at the exact moment of delivery.

Emails and the 7% rule

In many social engineering assessments, a pattern appears again and again. When you send a large batch of phishing emails, a certain percentage of recipients will almost always act. The exact figure changes by organization, but the baseline rarely disappears.

Even when companies train users, run simulations and repeat awareness courses, there is often still a small percentage of people who click or respond. Why? Because at that moment, some of them are tired, stressed, busy, distracted or simply overloaded. At that moment, the person does not reach the analysis stage.

That is why training alone is not enough. Training helps, but it does not eliminate the human condition.

A phishing email triggering excitement. Source: CaniPhish

The most effective emails are often the ones that trigger stress or excitement directly. A message that creates urgency or a strong emotional reaction can overpower careful thinking. Once that happens, hackers move into the next steps.

Trigger Bypass Techniques

Most people have simple mental triggers that hold up even under pressure. The trick is that attackers can sometimes bypass those triggers by shifting the context.

A person might say they never share passwords. But that rule can get bypassed if the attacker presents a password generator, an IT support request, or a command they’re told to run for verification. The target can still believe they’re following their rule, even while being manipulated out of it. Verification habits can also be bypassed with fake signatures, familiar names, or a two-step sequence that starts with something safe. A short first interaction lowers suspicion, and then a second one carries the real pressure. That’s often more effective than starting aggressively. Company rules can be bypassed by changing the frame. A USB drive disguised as a personal gift feels different from an unknown device dropped on a desk. The same object reads very differently depending on the story around it.

That’s why social engineering isn’t about one universal trick. It’s about adapting the story to the trigger.

Protection

For companies, the best defense is a mix of organizational measures, technical controls, and incident response. Training lowers the success rate of simple attacks. Technical controls reduce the damage when someone does make a mistake. And since no defense is perfect, response procedures matter too. Organizations need to know what to do when a suspicious message, call, or request slips through.

Individuals should not be afraid to refuse. Don’t feel obligated to be polite when something feels wrong. If a call creates stress, stop and think instead of reacting automatically. Never make important decisions while overwhelmed. Learn to recognize manipulation patterns, and don’t keep a suspicious conversation going just because the other side sounds official.

Sometimes the safest choice is just to hang up.

Summary

There’s no guaranteed technique for success, and no guaranteed protection either. Human beings are vulnerable because evolution made us efficient, not perfect. That efficiency helps us survive, but it also gives social engineers a way in.

To reduce the probability of these attacks, we offer our Security Awareness and Risk Management training for companies. For pentesters, we offer The Science and Art of Social Engineering, where Master OTW walks you through the tools and techniques needed to become an effective social engineer.

The post Social Engineering: Exploiting Human Psychology in Offensive Security first appeared on Hackers Arise.

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Warning: Attackers Are Tricking Employees Into Sharing Malicious Calendar Invites

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Researchers at Fortra are tracking a new variant of calendar phishing in which threat actors trick employees into sharing meeting links internally.

The attackers pose as prospective customers and contact non-sales employees, asking to be directed to a sales representative in order to discuss a business opportunity. The attacker then sends the employee a meeting link to forward to a sales contact.

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