搜索

PythonReactSEOPDF
GitHub Skill

sast-configuration

Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.

wshobson☆ 27,754 仓库 Stars3,059 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

SAST Configuration

Static Application Security Testing (SAST) tool setup, configuration, and custom rule creation for comprehensive security scanning across multiple programming languages.

Overview

This skill provides comprehensive guidance for setting up and configuring SAST tools including Semgrep, SonarQube, and CodeQL. Use this skill when you need to:

  • Set up SAST scanning in CI/CD pipelines
  • Create custom security rules for your codebase
  • Configure quality gates and compliance policies
  • Optimize scan performance and reduce false positives
  • Integrate multiple SAST tools for defense-in-depth

Core Capabilities

1. Semgrep Configuration
  • Custom rule creation with pattern matching
  • Language-specific security rules (Python, JavaScript, Go, Java, etc.)
  • CI/CD integration (GitHub Actions, GitLab CI, Jenkins)
  • False positive tuning and rule optimization
  • Organizational policy enforcement
2. SonarQube Setup
  • Quality gate configuration
  • Security hotspot analysis
  • Code coverage and technical debt tracking
  • Custom quality profiles for languages
  • Enterprise integration with LDAP/SAML
3. CodeQL Analysis
  • GitHub Advanced Security integration
  • Custom query development
  • Vulnerability variant analysis
  • Security research workflows
  • SARIF result processing

Quick Start

Initial Assessment
  1. Identify primary programming languages in your codebase
  2. Determine compliance requirements (PCI-DSS, SOC 2, etc.)
  3. Choose SAST tool based on language support and integration needs
  4. Review baseline scan to understand current security posture
Basic Setup
# Semgrep quick start
pip install semgrep
semgrep --config=auto --error

# SonarQube with Docker
docker run -d --name sonarqube -p 9000:9000 sonarqube:latest

# CodeQL CLI setup
gh extension install github/gh-codeql
codeql database create mydb --language=python

Reference Documentation

Templates & Assets

Integration Patterns

CI/CD Pipeline Integration
# GitHub Actions example
- name: Run Semgrep
  uses: returntocorp/semgrep-action@v1
  with:
    config: >-
      p/security-audit
      p/owasp-top-ten
Pre-commit Hook
# .pre-commit-config.yaml
- repo: https://github.com/returntocorp/semgrep
  rev: v1.45.0
  hooks:
    - id: semgrep
      args: ['--config=auto', '--error']

Best Practices

  1. Start with Baseline

    • Run initial scan to establish security baseline
    • Prioritize critical and high severity findings
    • Create remediation roadmap
  2. Incremental Adoption

    • Begin with security-focused rules
    • Gradually add code quality rules
    • Implement blocking only for critical issues
  3. False Positive Management

    • Document legitimate suppressions
    • Create allow lists for known safe patterns
    • Regularly review suppressed findings
  4. Performance Optimization

    • Exclude test files and generated code
    • Use incremental scanning for large codebases
    • Cache scan results in CI/CD
  5. Team Enablement

    • Provide security training for developers
    • Create internal documentation for common patterns
    • Establish security champions program

Common Use Cases

New Project Setup
./scripts/run-sast.sh --setup --language python --tools semgrep,sonarqube
Custom Rule Development
# See references/semgrep-rules.md for detailed examples
rules:
  - id: hardcoded-jwt-secret
    pattern: jwt.encode($DATA, "...", ...)
    message: JWT secret should not be hardcoded
    severity: ERROR
Compliance Scanning
# PCI-DSS focused scan
semgrep --config p/pci-dss --json -o pci-scan-results.json

Troubleshooting

High False Positive Rate
  • Review and tune rule sensitivity
  • Add path filters to exclude test files
  • Use nostmt metadata for noisy patterns
  • Create organization-specific rule exceptions
Performance Issues
  • Enable incremental scanning
  • Parallelize scans across modules
  • Optimize rule patterns for efficiency
  • Cache dependencies and scan results
Integration Failures
  • Verify API tokens and credentials
  • Check network connectivity and proxy settings
  • Review SARIF output format compatibility
  • Validate CI/CD runner permissions

Related Skills

Tool Comparison

Tool Best For Language Support Cost Integration
Semgrep Custom rules, fast scans 30+ languages Free/Enterprise Excellent
SonarQube Code quality + security 25+ languages Free/Commercial Good
CodeQL Deep analysis, research 10+ languages Free (OSS) GitHub native

Next Steps

  1. Complete initial SAST tool setup
  2. Run baseline security scan
  3. Create custom rules for organization-specific patterns
  4. Integrate into CI/CD pipeline
  5. Establish security gate policies
  6. Train development team on findings and remediation

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-02-04
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!