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Software vulnerabilities are the weaknesses in software systems, that leads to serious cybersecurity problems. Recently, many deep learning-based approaches have been proposed to detect vulnerabilities at the function level by using one or a few different modalities (e.g., text representation,…
The main features of vinci-grape/mvuld are: Vulnerability Detection Frameworks.
Projects with overlapping indexed features include: alperen21/jitvul. basimbd/secvuleval — SecVulEval is a dataset of C/C++ vulnerabilities. The dataset includes 5,867 CVEs, 10,998 vulnerable and 14,442… berabuddies/agentflow — Orchestrate thousands of agents and harnesses as a graph programatically. cgcl-codes/vffinder — This is the artifact repository of VFFinder for ASE'24. cgcl-codes/vulllm — This is the codebase for the paper "Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction… ai4cloudops/secllmholmes — 🎉 IEEE Symposium on Security and Privacy 2024!
SecVulEval is a dataset of C/C++ vulnerabilities. The dataset includes 5,867 CVEs, 10,998 vulnerable and 14,442 non-vulnerable functions. Besides other relevant metadata, this dataset includes bug-fix changes at the statement level and contextual information related to the vulnerable statement.…
Orchestrate thousands of agents and harnesses as a graph programatically
