security-code-scan

Vulnerability Patterns Detector for C and VB.NET - Website Downloading Official releases are available as nuget package, Visual Studio extension and stand-alone runner. Building git clone https://github.com/security-code-scan/security-code-scan.git cd security-code-scan Open SecurityCodeScan.sln...

Codeguard-copilot

CodeGuard Copilot — Intelligent Security Ecosystem Your AI-Powered Security Guardian — Now Connected to Live Attacker Intelligence Features • Architecture • Raven Integration • Installation • Roadmap • Contributing What is CodeGuard Copilot? CodeGuard Copilot catches security vulnerabilities as y...

move-vulnerability-database

Welcome to the Move Vulnerability Database MVD v3.0! A comprehensive collection of vulnerability patterns in the Move ecosystem. What's Inside Vulnerability Patterns - Categorized security issues with examples and severity ratings Appendix - Audit reports and protocol references Learning...

git-vuln-finder

git-vuln-finder Finding potential software vulnerabilities from git commit messages. The output format is a JSON with the associated commit which could contain a fix regarding a software vulnerability. The search is based on a set of regular expressions against the commit messages only. If CVE ID...

SkillSpector v2.5.0

SkillSpector Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills. Overview AI agent skills used by Claude Code, Codex CLI, Gemini CLI, etc. execute with implicit trust and minimal vetting. Research shows that 26.1% of...

Security Vulnerability Patterns in AI-Generated Code: A Cross-Model Comparative Study

LLM-based coding tools enable non-expert users to generate routine automation scripts that may enter enterprise workflows without meaningful security review. This study examines that risk directly. Code was collected from ChatGPT, Microsoft Copilot, and Google Gemini using identical prompts acros...

Understanding the (In)Security of Vibe-Coded Applications

Recent advances in large language models LLMs have enabled vibe coding, an emerging software development paradigm in which users create applications primarily through natural-language interactions with AI agents. Due to its low barrier to entry, vibe coding is rapidly gaining adoption in practice...

One Is a Fluke, 3 Is a Pattern: MCP Back-End Vulnerabilities

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VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

Automated vulnerability detection is a fundamental task in software security, yet existing learning-based methods still struggle to capture the structural dependencies, domain-specific vulnerability knowledge, and complex program semantics required for accurate detection. Recent Large Language...

InduGuard_vul_poc

ICS Vulnerability PoC Library — SCAA Benchmark Support Proof-...

Exploit for CVE-2025-48757

🛡️ Supabase Sentinel A Claude Skill that audits your Supaba...

Regular Expression Denial of Service Induced by Backreferences

This paper presents the first systematic study of denial-of-service vulnerabilities in Regular Expressions with Backreferences REwB. We introduce the Two-Phase Memory Automaton 2PMFA, an automaton model that precisely captures REwB semantics. Using this model, we derive necessary conditions under...

Automated Static Vulnerability Detection Via a Holistic Neuro-Symbolic Approach

Static vulnerability detection is still a challenging problem and demands excessive human efforts, e.g., manual curation of good vulnerability patterns. None of prior works, including classic program analysis or Large Language Model LLM-based approaches, have fully automated such vulnerability...