codeql

SKILL.md

CodeQL Static Analysis

When to Use CodeQL

Ideal scenarios:

  • Source code access with ability to build (for compiled languages)
  • Open-source projects or GitHub Advanced Security license
  • Need for interprocedural data flow and taint tracking
  • Finding complex vulnerabilities requiring AST/CFG analysis
  • Comprehensive security audits where analysis time is not critical

Consider Semgrep instead when:

  • No build capability for compiled languages
  • Licensing constraints
  • Need fast, lightweight pattern matching
  • Simple, single-file analysis is sufficient

Why Interprocedural Analysis Matters

Simple grep/pattern tools only see one function at a time. Real vulnerabilities often span multiple functions:

HTTP Handler → Input Parser → Business Logic → Database Query
     ↓              ↓              ↓              ↓
   source      transforms       passes        sink (SQL)

CodeQL tracks data flow across all these steps. A tainted input in the handler can be traced through 5+ function calls to find where it reaches a dangerous sink.

Installation

CodeQL CLI

# macOS/Linux (Homebrew)
brew install --cask codeql

# Update
brew upgrade codeql

Trail of Bits Queries (Optional)

# Download ToB query packs
codeql pack download trailofbits/cpp-queries trailofbits/go-queries

# Verify installation
codeql resolve qlpacks | grep trailofbits

Core Workflow

1. Create Database

codeql database create codeql.db --language=<LANG> [--command='<BUILD>'] --source-root=.
Language --language= Build Required
Python python No
JavaScript/TypeScript javascript No
Go go No
Rust rust Yes (--command='cargo build')
Java/Kotlin java Yes (--command='./gradlew build')
C/C++ cpp Yes (--command='make -j8')

2. Run Analysis

# SARIF output (recommended)
codeql database analyze codeql.db \
  --format=sarif-latest \
  --output=results.sarif \
  -- codeql/python-queries:codeql-suites/python-security-extended.qls

# With Trail of Bits queries
codeql database analyze codeql.db \
  --format=sarif-latest \
  --output=results.sarif \
  -- trailofbits/go-queries

Writing Custom Queries

Basic Template

/**
 * @name Find SQL injection vulnerabilities
 * @description Identifies potential SQL injection from user input
 * @kind path-problem
 * @problem.severity error
 * @security-severity 9.0
 * @precision high
 * @id py/sql-injection
 * @tags security
 *       external/cwe/cwe-089
 */

import python
import semmle.python.dataflow.new.DataFlow
import semmle.python.dataflow.new.TaintTracking

module SqlInjectionConfig implements DataFlow::ConfigSig {
  predicate isSource(DataFlow::Node source) {
    // Define taint sources (user input)
    exists(source)
  }
  
  predicate isSink(DataFlow::Node sink) {
    // Define dangerous sinks (SQL execution)
    exists(sink)
  }
}

module SqlInjectionFlow = TaintTracking::Global<SqlInjectionConfig>;

from SqlInjectionFlow::PathNode source, SqlInjectionFlow::PathNode sink
where SqlInjectionFlow::flowPath(source, sink)
select sink.getNode(), source, sink, "SQL injection from $@.", source.getNode(), "user input"

Query Metadata

Field Description Values
@kind Query type problem, path-problem
@problem.severity Issue severity error, warning, recommendation
@security-severity CVSS score 0.0 - 10.0
@precision Confidence very-high, high, medium, low

CI/CD Integration (GitHub Actions)

name: CodeQL Analysis
on:
  push:
    branches: [main]
  pull_request:
    branches: [main]
  schedule:
    - cron: '0 0 * * 1'  # Weekly

jobs:
  analyze:
    runs-on: ubuntu-latest
    permissions:
      actions: read
      contents: read
      security-events: write
    strategy:
      matrix:
        language: ['python', 'javascript']
    steps:
      - uses: actions/checkout@v4
      - name: Initialize CodeQL
        uses: github/codeql-action/init@v3
        with:
          languages: ${{ matrix.language }}
          queries: security-extended, security-and-quality
      - uses: github/codeql-action/autobuild@v3
      - uses: github/codeql-action/analyze@v3
        with:
          category: "/language:${{ matrix.language }}"

Troubleshooting

Issue Solution
Database creation fails Clean build environment, verify build command works independently
Slow analysis Use --threads, narrow query scope, check query complexity
Missing results Check file exclusions, verify source files were parsed
Out of memory Set CODEQL_RAM=48000 environment variable (48GB)

Rationalizations to Reject

Shortcut Why It's Wrong
"No findings means the code is secure" CodeQL only finds patterns it has queries for
"This code path looks safe" Complex data flow can hide vulnerabilities across 5+ function calls
"Small change, low risk" Small changes can introduce critical bugs; run full analysis
"The query didn't flag it" Default query suites don't cover everything; check custom queries

Resources

Attribution

Based on trailofbits/skills codeql skill.

Weekly Installs
3
Repository
5dlabs/cto
First Seen
Jan 24, 2026
Installed on
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