sast-scanning
Perform static application security testing with tools like Semgrep, CodeQL, and SonarQube. Identify security vulnerabilities in source code before deployment. Use when implementing secure SDLC, code review automation, or security gates in CI/CD pipelines.
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Security scan
Scan passedNo risky patterns were found in the scanned files.
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Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
SAST Scanning
Identify security vulnerabilities in source code through static analysis.
When to Use This Skill
Use this skill when:
- Implementing secure SDLC practices
- Adding security gates to CI/CD
- Automating code security reviews
- Finding vulnerabilities before deployment
- Meeting compliance requirements
Prerequisites
- Source code access
- CI/CD pipeline
- SAST tool installation
Tool Comparison
| Tool | License | Languages | Best For |
|---|---|---|---|
| Semgrep | OSS/Commercial | 30+ | Custom rules, speed |
| CodeQL | Free (GitHub) | 10+ | Deep analysis |
| SonarQube | OSS/Commercial | 25+ | Quality + Security |
| Bandit | OSS | Python | Python projects |
| Brakeman | OSS | Ruby | Rails apps |
Semgrep
Installation
# Install via pip
pip install semgrep
# Or via Homebrew
brew install semgrep
Basic Usage
# Run with default rules
semgrep --config auto .
# Run specific rulesets
semgrep --config p/security-audit .
semgrep --config p/owasp-top-ten .
semgrep --config p/ci .
# Scan specific languages
semgrep --config p/python .
semgrep --config p/javascript .
# Output formats
semgrep --config auto --json -o results.json .
semgrep --config auto --sarif -o results.sarif .
Custom Rules
# .semgrep/custom-rules.yaml
rules:
- id: hardcoded-password
patterns:
- pattern-either:
- pattern: password = "..."
- pattern: PASSWORD = "..."
- pattern: passwd = "..."
message: Hardcoded password detected
severity: ERROR
languages: [python, javascript, java]
metadata:
cwe: "CWE-798"
owasp: "A3:2017"
- id: sql-injection
patterns:
- pattern: |
$QUERY = "..." + $USER_INPUT + "..."
$DB.execute($QUERY)
message: Potential SQL injection
severity: ERROR
languages: [python]
metadata:
cwe: "CWE-89"
- id: insecure-random
pattern: random.random()
message: Use secrets module for security-sensitive randomness
severity: WARNING
languages: [python]
fix: secrets.token_hex()
CI Configuration
# .github/workflows/semgrep.yml
name: Semgrep
on:
push:
branches: [main]
pull_request:
jobs:
semgrep:
runs-on: ubuntu-latest
container:
image: returntocorp/semgrep
steps:
- uses: actions/checkout@v4
- name: Run Semgrep
run: semgrep ci
env:
SEMGREP_APP_TOKEN: ${{ secrets.SEMGREP_APP_TOKEN }}
CodeQL
Setup
# .github/workflows/codeql.yml
name: CodeQL Analysis
on:
push:
branches: [main]
pull_request:
branches: [main]
schedule:
- cron: '0 0 * * 0'
jobs:
analyze:
runs-on: ubuntu-latest
permissions:
security-events: write
actions: read
contents: read
strategy:
matrix:
language: ['javascript', 'python']
steps:
- uses: actions/checkout@v4
- name: Initialize CodeQL
uses: github/codeql-action/init@v3
with:
languages: ${{ matrix.language }}
queries: +security-and-quality
- name: Autobuild
uses: github/codeql-action/autobuild@v3
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v3
with:
category: "/language:${{ matrix.language }}"
Custom Queries
// queries/sql-injection.ql
/**
* @name SQL Injection
* @description User input in SQL query
* @kind path-problem
* @problem.severity error
* @security-severity 9.0
* @precision high
* @id py/sql-injection
* @tags security
*/
import python
import semmle.python.dataflow.new.DataFlow
import semmle.python.dataflow.new.TaintTracking
import semmle.python.security.dataflow.SqlInjectionQuery
from SqlInjectionConfiguration config, DataFlow::PathNode source, DataFlow::PathNode sink
where config.hasFlowPath(source, sink)
select sink.getNode(), source, sink, "SQL injection from $@.", source.getNode(), "user input"
SonarQube
Docker Setup
# docker-compose.yml
version: '3.8'
services:
sonarqube:
image: sonarqube:lts-community
ports:
- "9000:9000"
environment:
- SONAR_JDBC_URL=jdbc:postgresql://db:5432/sonar
- SONAR_JDBC_USERNAME=sonar
- SONAR_JDBC_PASSWORD=sonar
volumes:
- sonarqube_data:/opt/sonarqube/data
- sonarqube_logs:/opt/sonarqube/logs
depends_on:
- db
db:
image: postgres:15
environment:
- POSTGRES_USER=sonar
- POSTGRES_PASSWORD=sonar
- POSTGRES_DB=sonar
volumes:
- postgresql_data:/var/lib/postgresql/data
volumes:
sonarqube_data:
sonarqube_logs:
postgresql_data:
Scanner Configuration
# sonar-project.properties
sonar.projectKey=myproject
sonar.projectName=My Project
sonar.projectVersion=1.0
sonar.sources=src
sonar.tests=tests
sonar.exclusions=**/node_modules/**,**/vendor/**
sonar.language=py
sonar.python.coverage.reportPaths=coverage.xml
sonar.qualitygate.wait=true
CI Integration
# GitHub Actions
- name: SonarQube Scan
uses: sonarsource/sonarqube-scan-action@master
env:
SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
SONAR_HOST_URL: ${{ secrets.SONAR_HOST_URL }}
- name: Quality Gate
uses: sonarsource/sonarqube-quality-gate-action@master
timeout-minutes: 5
env:
SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
Language-Specific Tools
Python (Bandit)
# Install
pip install bandit
# Run scan
bandit -r src/ -f json -o bandit-report.json
# With configuration
bandit -r src/ -c bandit.yaml
# bandit.yaml
skips: ['B101', 'B601']
exclude_dirs: ['tests', 'venv']
assert_used:
skips: ['*_test.py', '*_tests.py']
JavaScript (ESLint Security)
# Install
npm install eslint eslint-plugin-security --save-dev
// .eslintrc.js
module.exports = {
plugins: ['security'],
extends: ['plugin:security/recommended'],
rules: {
'security/detect-object-injection': 'error',
'security/detect-non-literal-regexp': 'warn',
'security/detect-unsafe-regex': 'error',
'security/detect-buffer-noassert': 'error',
'security/detect-eval-with-expression': 'error',
'security/detect-no-csrf-before-method-override': 'error',
'security/detect-possible-timing-attacks': 'warn'
}
};
Ruby (Brakeman)
# Install
gem install brakeman
# Run scan
brakeman -o brakeman-report.json -f json
# CI configuration
brakeman --no-exit-on-warn --no-exit-on-error -o report.html
Quality Gates
SonarQube Quality Gate
{
"name": "Security Gate",
"conditions": [
{
"metric": "new_security_rating",
"op": "GT",
"error": "1"
},
{
"metric": "new_vulnerabilities",
"op": "GT",
"error": "0"
},
{
"metric": "new_security_hotspots_reviewed",
"op": "LT",
"error": "100"
}
]
}
Custom Gate Script
#!/bin/bash
# security-gate.sh
CRITICAL=$(cat results.json | jq '[.results[] | select(.severity == "critical")] | length')
HIGH=$(cat results.json | jq '[.results[] | select(.severity == "high")] | length')
echo "Critical: $CRITICAL, High: $HIGH"
if [ "$CRITICAL" -gt 0 ]; then
echo "FAILED: Critical vulnerabilities found"
exit 1
fi
if [ "$HIGH" -gt 5 ]; then
echo "FAILED: Too many high severity vulnerabilities"
exit 1
fi
echo "PASSED: Security gate"
exit 0
Common Issues
Issue: Too Many False Positives
Problem: Alerts on safe code patterns Solution: Tune rules, add suppressions, use baseline
Issue: Slow Scans
Problem: SAST taking too long in CI Solution: Incremental scanning, parallel execution, exclude test files
Issue: Missing Coverage
Problem: Vulnerabilities not detected Solution: Add custom rules, combine multiple tools
Best Practices
- Run on every PR/commit
- Establish baseline for existing code
- Prioritize by severity and exploitability
- Maintain custom rules for your codebase
- Integrate with IDE for early feedback
- Track trends over time
- Document false positive suppressions
- Combine with DAST for comprehensive coverage
Related Skills
- dast-scanning - Dynamic testing
- dependency-scanning - Dependency vulnerabilities
- github-actions - CI integration
Files
2- SKILL.md
623ed8661f8.6 KB - references/sast-tools.md
360ab744111.9 KB
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