semgrep-rules

Trail of Bits public Semgrep rules This repository contains Semgrep rules developed by Trail of Bits and made available to the public. They are part of our ongoing development efforts and are used in our security audits, vulnerability reseach, and internal projects. They will evolve over time as ...

sast-rules

Semgrep rules This is the central Semgrep rule repository that hosts the Semgrep rules for the GitLab semgrep analyzer. The repository is structured as follows: . ├── mappings │ ├── findsecbugs.yml │ ├── eslint.yml │ └── ... ├── rules │ ├── lpgl │ │ ├── java │ │ │ ├── webview │ │ │ │ ├──...

duo-agentflow-auditor

Duo AgentFlow Auditor AI Code Security — catching what SAST misses in AI-generated code Built on the GitLab Duo Agent Platform 40-62% of AI-generated code contains security vulnerabilities. Traditional SAST catches CVEs. We catch what SAST misses — prompt injection, LLM output execution, unsafe M...

semgrep-rules

semgrep-rules Welcome! This repository contains Semgrep's Community Edition rules. In addition to the rules in this repository, the Semgrep Registry offers proprietary Pro rules that offer additional language coverage, and unlock crossfile and deep dataflow analysis. Find rules: search for...

semgrep-rules

elttam's semgrep-rules Welcome to elttam's public semgrep rules repository...

semgrep-rules

semgrep-rules "The attack surface is the vulnerability. Finding a bug there is just a detail." -- Mark Dowd "Some details are more important than others." -- Fedor G. Pikus Una raccolta delle mie regole Semgrep per facilitare la ricerca di vulnerabilità. Articoli del blog...

Semgrep Rules 2.0.0 Static Analysis Rule Collection

A collection of Semgrep rules for identifying potentially vulnerable code patterns during static source code analysis. The rule set focuses on vulnerability research across multiple languages and includes checks for common security issues to assist developers, auditors, and security researchers...

Mutillidae-SAST-Analysis

🛡️ Static Application Security Testing SAST: OWASP Mutillida...

Automatically Generating Rules of Malicious Software Packages Via Large Language Model

Today's security tools predominantly rely on predefined rules crafted by experts, making them poorly adapted to the emergence of software supply chain attacks. To tackle this limitation, we propose a novel tool, RuleLLM, which leverages large language models LLMs to automate rule generation for O...