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  2. Cowrie (honeypot) - Wikipedia

    en.wikipedia.org/wiki/Cowrie_(honeypot)

    Attack Detection and Forensics Using Honeypot in an IoT Environment calls Cowrie a "medium interaction honeypot" and describes results from using it for 40 days to capture "all communicated sessions in log files." [9] The book Advances on Data Science also devotes chapter two to "Cowrie Honeypot Dataset and Logging." [10]

  3. Honeypot (computing) - Wikipedia

    en.wikipedia.org/wiki/Honeypot_(computing)

    In computer terminology, a honeypot is a computer security mechanism set to detect, deflect, or, in some manner, counteract attempts at unauthorized use of information systems. Generally, a honeypot consists of data (for example, in a network site) that appears to be a legitimate part of the site which contains information or resources of value ...

  4. Dynamic application security testing - Wikipedia

    en.wikipedia.org/wiki/Dynamic_Application...

    Unlike static application security testing tools, DAST tools do not have access to the source code and therefore detect vulnerabilities by actually performing attacks. DAST tools allow sophisticated scans, detecting vulnerabilities with minimal user interactions once configured with host name, crawling parameters and authentication credentials.

  5. Application security - Wikipedia

    en.wikipedia.org/wiki/Application_security

    Runtime application self-protection augments existing applications to provide intrusion detection and prevention from within an application runtime. Dependency scanners (also called software composition analysis) try to detect the usage of software components with known vulnerabilities. These tools can either work on-demand, e.g., during the ...

  6. Cyber threat hunting - Wikipedia

    en.wikipedia.org/wiki/Cyber_threat_hunting

    The dwell time either indicates the entire span of a security incident (initial compromise until detection and full cleanup) or the 'mean time to detect' (from initial compromise until detection). According to the 2022 Mandiant M-Trends Report, cyberattackers operate undetected for an average of 21 days (a 79% reduction, compared to 2016), but ...

  7. Deception technology - Wikipedia

    en.wikipedia.org/wiki/Deception_technology

    Deception technology products can detect, analyze, and defend against zero-day and advanced attacks, often in real time. They are automated, accurate, [1] and provide insight into malicious activity within internal networks which may be unseen by other types of cyber defense. Deception technology seeks to deceive an attacker, detect them, and ...

  8. Intrusion detection system evasion techniques - Wikipedia

    en.wikipedia.org/wiki/Intrusion_detection_system...

    Polymorphic attacks don't have a single detectable signature, making them very difficult for signature-based IDS, and even some anomaly-based IDS, to detect. [ 1 ] [ 4 ] Shikata ga nai ("it cannot be helped") is a popular polymorphic encoder in the Metasploit framework used to convert malicious shellcode into difficult-to-detect polymorphic ...

  9. Watering hole attack - Wikipedia

    en.wikipedia.org/wiki/Watering_hole_attack

    This also makes the hacks harder to detect and research. [4] The name is derived from predators in the natural world, who wait for an opportunity to attack their prey near watering holes. [5] One of the most significant dangers of watering hole attacks is that they are executed via legitimate websites that are unable to be easily blacklisted.