huhusmang/awesome-llms-for-vulnerability-detection
L'indice più completo e costantemente aggiornato della community sulla ricerca relativa ai Large Language Models per il rilevamento delle vulnerabilità software — articoli su rilevamento a livello di funzione, a livello di repository, agentico e di smart contract, oltre a dataset, benchmark e survey.
Una lista curata di articoli, progetti e competenze degli agenti sull'uso degli LLM per il rilevamento e la scoperta delle vulnerabilità.
Vengono mostrati solo gli articoli del 2025 e successivi. Per i lavori precedenti, consulta Archivio Articoli (2024 e precedenti).
| Titolo | Sede | Anno | Articolo | Github |
|---|
| VulnGym: Benchmarking Coding Agents for Repository-Level Vulnerability Detection | 2026 | link | link | |
| VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection | 2026 | link | link | |
| Synthesizing Multi-Agent Harnesses for Vulnerability Discovery | 2026 | link | link | |
| QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery | 2026 | link | ||
| Seclens: Role-specific Evaluation of LLM's for security vulnerablity detection | 2026 | link | link | |
| Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap | 2026 | link | ||
| Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering | ISSTA | 2026 | link | |
| AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection | 2026 | link | ||
| LLM-based Vulnerability Detection at Project Scale: An Empirical Study | 2026 | link | ||
| MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution | 2026 | link | ||
| VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection | 2025 | link | ||
| VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization | 2025 | link | ||
| VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications | 2025 | link | ||
| From Large to Mammoth: A Comparative Evaluation of Large Language Models in Vulnerability Detection | NDSS | 2025 | link | |
| Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories | ACL | 2025 | link | link |
| A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models | 2025 | link | link | |
| LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models | Usenix | 2025 | link | link |
| CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation | ACL Findings | 2025 | link | link |
| Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond | 2025 | link | link | |
| Learning to Focus: Context Extraction for Efficient Code Vulnerability Detection with Language Models | 2025 | link | ||
| SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis | SP | 2025 | link | link |
| SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection | 2025 | link | link | |
| CVE-Bench: Benchmarking LLM-based Software Engineering Agent's Ability to Repair Real-World CVE Vulnerabilities | NAACL | 2025 | link | link |
| R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation | 2025 | link | link | |
| Neuro-symbolic Static Analysis with LLM-generated Vulnerability Patterns | 2025 | link | ||
| Context-Enhanced Vulnerability Detection Based on Large Language Model | 2025 | link | ||
| Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask | 2025 | link | link | |
| MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models | 2025 | link | ||
| Abundant Modalities Offer More Nutrients: Multi-Modal-Based Function-Level Vulnerability Detection | TOSEM | 2025 | link | link |
| Generative Large Language Model usage in Smart Contract Vulnerability Detection | 2025 | link | ||
| Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE | ICSE | 2025 | link | link |
| Vulnerability Detection with Code Language Models: How Far Are We? | ICSE | 2025 | link | link |
| Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications | ICSE | 2025 | link | |
| LAMD: Context-driven Android Malware Detection and Classification with LLMs | 2025 | link | ||
| LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights | 2025 | link | link | |
| One-for-All Does Not Work! Enhancing Vulnerability Detection by Mixture-of-Experts (MoE) | 2025 | link |
| Nome | Descrizione | Github |
|---|---|---|
| OpenAnt (Knostic) | Scoperta di vulnerabilità multi-fase basata su LLM con verifica avversaria | link |
| DeepAudit | Piattaforma multi-agente di red team AI con validazione degli exploit tramite sandbox Docker | link |
| AutoCVE | Rilevamento e segnalazione automatizzata delle vulnerabilità con architettura multi-agente | link |
| Darkmoon | Piattaforma open-source (GPL-3.0) autonoma di pentest AI e host MCP; sotto-agenti offensivi per tecnologia, copertura di Active Directory e Kubernetes, oltre 80 strumenti orchestrati, traccia delle evidenze per ogni scoperta | link |
| strix | Strumento open-source autonomo di penetration testing AI installabile tramite pip | link |
| deepsec (Vercel) | Struttura di sicurezza per la scansione approfondita delle vulnerabilità del codebase con agenti di codifica | link |
| Nome | Descrizione | Link |
|---|---|---|
| codex-security (OpenAI) | Scansione autonoma delle vulnerabilità a livello di repository tramite agenti Codex | link |
| defending-code-reference-harness (Anthropic) | Competenze di riferimento per threat modeling, scansione, triage e correzione con Claude Code | link |
| security-audit-skill (Cloudflare) | Competenza di audit di sicurezza in sei fasi con agenti di ricerca paralleli e validazione avversaria | link |
Acquisizione e aggiornamento automatico giornaliero degli articoli Arxiv per parole chiave specifiche tramite workflow.
