NPM Malware Scanner

Real-time malware scanner for npm packages. Detects install scripts, shell access, obfuscated code, network access, filesystem access, typosquatting attacks, and known-compromised supply chain versions.

Key Resources Used

Supply Chain Security:

• npm Security Best Practices - Understanding npm security model
• OWASP Top 10 for CI/CD - CI/CD security risks

Static Analysis Techniques:

• Babel Parser Documentation - AST parsing for JavaScript/TypeScript
• ESLint Source Code - Pattern matching and code analysis techniques
• Shannon Entropy - Obfuscation detection using information theory

Typosquatting Research:

• Levenshtein Distance Algorithm - String similarity measurement
• Typosquatting on PyPI - Academic research on package name attacks
• npm Typosquatting Attacks - Real-world examples

npm Registry APIs:

• npm Registry API - Package metadata and download
• CouchDB Changes Feed - Real-time monitoring

Notable CVEs & Attacks:

• CVE-2021-44906 - Minimist prototype pollution
• event-stream incident - Malicious dependency injection
• ua-parser-js attack - Cryptocurrency miner in popular package

Installation

# Global installation
npm install -g npm-malware-scanner

# Or use directly with npx
npx npm-malware-scanner express 4.18.2

Usage

Scan a Package

npm-scanner <package-name> <version>

# Examples
npm-scanner express 4.18.2
npm-scanner axios 1.6.0

Live Monitoring

Monitor the npm registry feed in real-time:

npm-scanner --live

Lockfile Scan

Scan package-lock.json, yarn.lock, or pnpm-lock.yaml for known-compromised versions and IOC dependencies without hitting the registry:

# Scan lockfiles in the current directory
npm-scanner --lockfile

# Scan lockfiles in a specific directory
npm-scanner --lockfile ./path/to/project

This mode is useful when a version has already been unpublished from npm (as happened with axios@1.14.1 and axios@0.30.4) — registry-based scanning returns 404, but lockfile evidence of prior installation remains.

CI/CD Integration

The scanner automatically detects CI/CD environments and adapts output format.

GitHub Actions:

- name: Security Scan
  run: npm-scanner express 4.18.2

Other CI Systems:

CI=true npm-scanner express 4.18.2

See CI-CD-INTEGRATION.md for detailed integration guides.

Detection Capabilities

Install Scripts

Identifies packages with lifecycle scripts that execute arbitrary code:

• preinstall, install, postinstall
• preuninstall, uninstall, postuninstall

Severity: High

Shell Access

Detects use of child_process APIs that can run system commands:

• exec, execSync, spawn, spawnSync, execFile
• Shell command strings passed to process execution

Severity: High

Obfuscated Code

Calculates Shannon entropy on each source file. Files with entropy above the threshold are flagged as likely obfuscated or encoded payloads.

Severity: High

Typosquatting

Compares the package name against the top npm packages using Levenshtein distance. Close matches are flagged as potential brand-jacking attempts.

Severity: High (very close match) / Medium

Network Access

Detects packages making network requests:

• Node.js modules: http, https, net, dgram, dns
• Browser APIs: fetch, XMLHttpRequest, WebSocket, EventSource
• Popular libraries: axios, node-fetch, got, superagent, request

Severity: Medium

Filesystem Access

Detects use of fs module operations that read, write, or modify files on disk:

• writeFile, appendFile, unlink, rename, chmod, chown
• Recursive directory operations (rmdir, rm)

Severity: Medium

Known Compromised Version

Checks the requested version against a built-in database of known supply chain incidents. When a version matches and has been unpublished from npm (returning 404), the scanner reports it as a confirmed IOC rather than a generic fetch failure, and automatically runs a lockfile scan.

Severity: High

Lockfile Match

When scanning lockfiles (--lockfile mode or triggered automatically after a known-compromised 404), every resolved dependency is checked against the known-bad version list and IOC dependency list (e.g. plain-crypto-js from the axios incident).

Severity: High

Architecture

src/
├── cli.ts                      # CLI entry point (scan, --live, --lockfile)
├── scanner.ts                  # Scan orchestration
├── types.ts                    # TypeScript interfaces & AlertType enum
├── detectors/
│   ├── install-scripts.ts      # Lifecycle script detection
│   ├── network-access.ts       # Network access detection (AST + regex)
│   ├── typosquat.ts            # Typosquat detection (Levenshtein distance)
│   ├── filesystem-access.ts    # Filesystem write/delete detection
│   ├── obfuscation.ts          # Shannon entropy analysis
│   └── shell-access.ts         # child_process / exec detection
├── ioc/
│   ├── known-bad.ts            # Known-compromised version database
│   └── lockfile-scanner.ts     # Lockfile IOC scanner (npm/yarn/pnpm)
├── npm/
│   ├── registry.ts             # Package fetching, extraction, 404 handling
│   └── feed.ts                 # Live CouchDB changes feed monitoring
└── utils/
    ├── logger.ts               # Output formatting (terminal, CI, GitHub Actions)
    └── environment.ts          # CI/CD environment detection

Design Decisions

Static Analysis Only

Choice: Analyze code without execution
Rationale: Safe, fast (~500ms per package), effective for most threats
Tradeoff: Cannot detect runtime behavior or heavily obfuscated code

Hybrid Detection (AST + Regex)

Choice: Combine AST parsing with regex patterns
Rationale: AST for accuracy, regex for obfuscated/dynamic code
Tradeoff: Slightly slower but more comprehensive

Popular Packages for Typosquat

Choice: Compare only against top npm packages
Rationale: Fast, practical, low false positives
Tradeoff: Misses typosquats of less popular packages

Extending the Scanner

Adding a New Detector

Create a detector file:

// src/detectors/my-detector.ts
import { Alert, DetectorResult } from '../types';

export class MyDetector {
  static async detect(packagePath: string): Promise<DetectorResult> {
    const alerts: Alert[] = [];
    
    // Your detection logic
    
    return { detected: alerts.length > 0, alerts };
  }
}

Register in `src/scanner.ts`:

import { MyDetector } from './detectors/my-detector';

const [installScriptResult, networkAccessResult, typosquatResult, myResult] = 
  await Promise.all([
    InstallScriptDetector.detect(packageInfo.extractedPath),
    NetworkAccessDetector.detect(packageInfo.extractedPath),
    TyposquatDetector.detect(packageName),
    MyDetector.detect(packageInfo.extractedPath), // Add here
  ]);

alerts.push(...myResult.alerts);

Development

# Clone and setup
git clone https://github.com/Sunrostern/npm-scanner
cd npm-scanner
pnpm install

# Build
pnpm build

# Run tests
pnpm test

# Test with coverage
pnpm test:coverage

# Test a package
pnpm start express 4.18.2

# Test in CI mode
CI=true pnpm start express 4.18.2

Testing

The project includes comprehensive unit tests for all detectors:

# Run all tests
pnpm test

# Watch mode
pnpm test:watch

# Coverage report
pnpm test:coverage

Test Coverage:

• Install script detection
• Shell access detection (child_process, exec, spawn)
• Obfuscation detection (entropy analysis)
• Network access detection (http, fetch, axios, etc.)
• Filesystem access detection (fs module operations)
• Typosquat detection (Levenshtein distance)
• Edge cases and error handling

Known Limitations

• Static analysis only - Cannot detect runtime behavior or dynamically constructed payloads
• Registry-dependent - If a version is unpublished, tarball scanning falls back to lockfile IOC mode; no tarball analysis is possible
• Obfuscation ceiling - Sufficiently layered obfuscation may fall below the entropy threshold
• False positives - Legitimate packages may trigger alerts (e.g., HTTP clients flagged for network access)
• Known-bad database - Only incidents explicitly added to src/ioc/known-bad.ts are covered; zero-day supply chain attacks are not detected until the database is updated

Performance

• Single package scan: 500ms - 2s
• Network detection: 100-500ms
• Typosquat check: ~50ms
• Live mode throughput: 1-2 packages/second

Contributing

Contributions welcome! Areas of interest:

• Expanding src/ioc/known-bad.ts with new supply chain incidents
• New detectors (crypto mining, prototype pollution, data exfiltration patterns)
• Performance improvements (parallel lockfile parsing, caching)
• Better obfuscation detection (multi-pass entropy, AST-based deobfuscation)
• Additional CI/CD integrations

License

MIT