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...

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...

move-vulnerability-database

Move 취약점 데이터베이스MVD v3.0에 오신 것을 환영합니다! Move 생태계의 취약점 패턴을 포괄적으로 모은 컬렉션입니다. 구성 내용 취약점 패턴 - 예시와 심각도 등급이 포함된 분류별 보안 이슈 부록 - 감사 보고서 및 프로토콜 참고 자료 학습 자료 - Move 보안 학습을 위한 엄선된 자료 이 리소스는 여러 업체와 감사자가 수행한 200개 이상의 공개 Move 감사 보고서에서 추출한 1000개 이상의 보안 취약점을 통합합니다. 이 데이터베이스는 취약점을 입력 검증과 비즈니스 로직 결함부터 접근 제어와 상태 관리...

Codeguard-copilot

CodeGuard Copilot — インテリジェント・セキュリティ・エコシステム AI搭載のセキュリティ・ガーディアン — ライブ攻撃者インテリジェンスに接続 機能 • アーキテクチャ • Raven連携 • インストール • ロードマップ • コントリビューション CodeGuard Copilotとは？ CodeGuard Copilotは、コミット後ではなくコーディング中に セキュリティ脆弱性を検出します。決定論的な正規表現パターン検出と、AIによる深層分析、そしてRaven/WraithWallエコシステムからのライブ攻撃者インテリジェンスを組み合わせることで、他のどのVS...

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...