malware-check

pip install malware-check

pipx install malware-check

git clone https://github.com/momenbasel/malware-check.git
cd malware-check
pip install -e ".[dev]"

# Core + binary analysis + AI file detection + YARA
pip install malware-check[full]

# Or install only what you need
pip install malware-check[binary]
pip install malware-check[detect]
pip install malware-check[yara]

# Or install extras manually
pip install pefile lief magika yara-python

pip install malware-check[detect]

# Requires Docker - https://docs.docker.com/get-docker/
# Build the sandbox image (one-time setup)
malware-check build-sandbox

malware-check info

# Install the skill from GitHub
npx skills install momenbasel/malware-check --skill malware-check

# Or manually: copy skill/SKILL.md to your skills directory
cp -r skill/ ~/.claude/skills/malware-check/

pip install malware-check pefile lief yara-python

# 1. Install the CLI
pip install malware-check pefile lief yara-python

# 2. Add to your Codex instructions (codex.md or system prompt)
echo 'Use `malware-check scan <path> --verbose` to analyze files for malware.' >> AGENTS.md

# 3. Or install as a Codex skill
cp -r skill/ .codex/skills/malware-check/

# 1. Install
pip install malware-check

# 2. Add to agent instructions:
# "When asked to check code/binaries for malware, use: malware-check scan <target> --verbose"
# "For reports: malware-check scan <target> --format html -o report.html"
# "For CI/CD: malware-check scan <target> --format sarif -o report.sarif --exit-code"

malware-check scan suspicious_file.py

# Best results when malware-check[detect] is installed
malware-check scan suspicious_payload --verbose

malware-check scan /path/to/project --verbose

# Build sandbox first (one-time)
malware-check build-sandbox

# Scan with behavioral analysis
malware-check scan malware.exe --dynamic

malware-check scan /Applications/SuspiciousApp.app --dynamic --verbose

# JSON report
malware-check scan target/ --format json -o report.json

# HTML dashboard
malware-check scan target/ --format html -o report.html

# SARIF for CI/CD
malware-check scan target/ --format sarif -o results.sarif

# Exit with non-zero code on findings (for CI gates)
malware-check scan . --format sarif -o results.sarif --exit-code

malware-check info

name: Security Scan
on: [push, pull_request]

jobs:
  malware-check:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.12"

      - name: Install malware-check
        run: pip install malware-check

      - name: Run scan
        run: malware-check scan . --format sarif -o results.sarif --exit-code

      - name: Upload SARIF
        if: always()
        uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: results.sarif

malware-check/
├── src/malware_check/
│   ├── cli.py                 # Click CLI entry point
│   ├── scanner.py             # Orchestrator + optional Magika-based file detection
│   ├── models.py              # Finding, FileAnalysis, ScanResult data models
│   ├── analyzers/
│   │   ├── code.py            # Source code pattern matching (40+ rules)
│   │   ├── binary.py          # PE/Mach-O/ELF analysis
│   │   ├── privacy.py         # PII, tracking, permissions
│   │   ├── yara_engine.py     # YARA rule compilation and scanning
│   │   └── dynamic.py         # Docker sandbox behavioral analysis
│   └── reporters/
│       ├── console_reporter.py  # Rich terminal output
│       ├── json_reporter.py     # JSON export
│       ├── html_reporter.py     # HTML dashboard (Jinja2)
│       └── sarif_reporter.py    # SARIF 2.1.0 for CI/CD
├── rules/yara/                # Bundled YARA rules
├── tests/                     # pytest test suite
└── pyproject.toml             # Project metadata

malware-check scan target/ --yara-rules /path/to/my/rules/

rule My_Custom_Rule {
    meta:
        description = "Detect custom malware pattern"
        severity = "critical"
        category = "backdoor"
        confidence = "0.90"
        mitre = "T1059"
        cwe = "CWE-94"
        recommendation = "Remove malicious code"

    strings:
        $pattern = "suspicious_string"

    condition:
        $pattern
}

# Clone and install dev dependencies
git clone https://github.com/momenbasel/malware-check.git
cd malware-check
pip install -e ".[dev]"

# Optional: include Magika, YARA, and binary extras while developing
pip install -e ".[dev,full]"

# Run tests
pytest

# Lint
ruff check src/ tests/