waf-bypass

WAF Bypass Tool WAF Bypass Tool is an open source tool to analyze the security of any WAF for False Positives and False Negatives using predefined and customizable payloads. Check your WAF before an attacker does. WAF Bypass Tool is developed by Nemesida WAF team with the participation of...

Adversarial-Detection-Engineering-Framework

Adversarial Detection Engineering ADE Framework Get ahead of False Negatives by understanding how detection logic fails before threat actors abuse it. Check out the website: https://adeframework.org/ What Is ADE? Adversarial Detection Engineering ADE is the discipline of reasoning about False...

waf-bypass

WAF Bypass Tool WAF Bypass Tool एक ओपन सोर्स टूल है जो किसी भी WAF की सुरक्षा का विश्लेषण करने के लिए फॉल्स पॉज़िटिव और फॉल्स निगेटिव के लिए पूर्वनिर्धारित और अनुकूलन योग्य पेलोड का उपयोग करता है। एक हमलावर से पहले अपने WAF की जाँच करें। WAF Bypass Tool को Nemesida WAF टीम द्वारा समुदाय की भागीदा...

CVE-2026-13221

A flaw was found in Perl. When the Perl regular expression engine processes patterns with a very large number of alternative fixed strings, an internal data field can overflow. This leads to silently incorrect regular expression matches, causing the engine to either match strings it should not...

perl: Perl: Incorrect regular expression processing via large regular expressions

A flaw was found in Perl. When the Perl regular expression engine processes patterns with a very large number of alternative fixed strings, an internal data field can overflow. This leads to silently incorrect regular expression matches, causing the engine to either match strings it should not...

SUSE CVE-2026-13221

Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perlstudychunk. When such branches are combined into a trie, the delta between the first branch and the shared tail is stored ...

CVE-2026-13221

Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perlstudychunk. When such branches are combined into a trie, the delta between the first branch and the shared tail is stored ...

CVE-2026-13221 Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perl_study_chunk

Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perlstudychunk. When such branches are combined into a trie, the delta between the first branch and the shared tail is stored ...

CVE-2026-13221 Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perl_study_chunk

Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perlstudychunk. When such branches are combined into a trie, the delta between the first branch and the shared tail is stored ...

CVE-2026-13221

Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perlstudychunk. When such branches are combined into a trie, the delta between the first branch and the shared tail is stored ...

CVE-2026-13221

Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into a trie in Perlstudychunk. When such branches are combined into a trie, the delta between the first branch and the shared tail is stored ...

PT-2026-57822

Name of the Vulnerable Software and Affected Versions Perl versions prior to 5.44 Description Incorrect regular expression matches occur when an alternation of more than 65535 fixed string branches is compiled into a trie in Perl study chunk. A trie is a specialized tree-like data structure used...

Linux Distros Unpatched Vulnerability : CVE-2026-13221

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Perl versions through 5.43.9 produce silently incorrect regular expression matches when an alternation of more than 65535 fixed string branches is compiled into...

A Robust Framework for Sybil Attack Detection in Vehicular Ad Hoc Networks

Sybil attacks create an illusion of traffic congestion by utilizing fake identities, which undermines the reliable and safe operation of vehicular ad hoc networks VANETs. Existing detection mechanisms struggle to effectively handle Sybil attacks as they are i susceptible to high false positive...

CVE-2026-48792

The connected sources confirm a vulnerability in pam_usb for Linux prior to 0.9.1: evdev.c silently ignores EACCES when opening /dev/input/event* nodes, causing pusb_has_virtual_input_device() to incorrectly report no virtual devices even if opens fail due to insufficient permissions. As a result...

EDySec: A Deep Learning-Based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem

The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote access activation, and dynamic payload generation. Traditional Machine Learning ML detectors struggle to detect these...

Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware

Spotting encryption loops in binary-only ransomware is a critical reverse engineering task. Since the existence of avalanche effect, an intrinsic characteristic of any secure encryption algorithms, is unavoidable during a victim data encryption attack, it is a very promising direction to spot...

RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale

Security teams face a challenge: the volume of newly disclosed Common Vulnerabilities and Exposures CVEs far exceeds the capacity to manually develop detection mechanisms. In 2025, the National Vulnerability Database published over 48,000 new vulnerabilities, motivating the need for automation. W...

Why Aggregate Accuracy Is Inadequate for Evaluating Fairness in Law Enforcement Facial Recognition Systems

Facial recognition systems are increasingly deployed in law enforcement and security contexts, where algorithmic decisions can carry significant societal consequences. Despite high reported accuracy, growing evidence demonstrates that such systems often exhibit uneven performance across demograph...

OpenAnt LLM-Based Vulnerability Discovery

OpenAnt from Knostic is an open source LLM-based vulnerability discovery product that helps defenders proactively find verified security flaws while minimizing both false positives and false negatives. Stage 1 detects. Stage 2 attacks. What survives is real...