external/anthropic-cybersecurity-skills/skills/detecting-malicious-npm-packages/SKILL.md
Triage npm packages and lockfiles for install-script malware, credential exfiltration, and worming behavior using GuardDog, manual tarball inspection, and dynamic detonation with network/filesystem monitoring. Use when vetting a new dependency, reviewing a package.json/package-lock.json during code review, checking lockfiles against a supply-chain advisory's known-bad versions, or investigating a host suspected of installing a trojanized package.
npx skillsauth add seikaikyo/dash-skills detecting-malicious-npm-packagesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Legal Notice: Analyze packages in an isolated, disposable environment. Some malicious packages execute on install (
npm installruns lifecycle scripts automatically) or on import. Never analyze a suspect package on a workstation with credentials, SSH keys, cloud tokens, or network access to production. This skill is for defensive analysis and authorized incident response only.
The npm registry is the largest software package ecosystem in the world and the most heavily targeted by supply-chain attackers. Malicious packages reach victims through typosquatting (expresss, crossenv), dependency confusion, account/maintainer takeover (the 2025 Shai-Hulud worm and the event-stream compromise are canonical examples), and starjacking. The defining danger of npm is that npm install automatically runs preinstall, install, and postinstall lifecycle scripts with the developer's full privileges before any application code is invoked — so simply installing a package is enough to be compromised. Roughly 2% of npm packages use install scripts, which makes them both common and a powerful malware delivery vehicle.
Typical malicious behaviors are: exfiltrating environment variables, ~/.npmrc tokens, SSH keys, and cloud credentials to an attacker-controlled URL; opening reverse shells; dropping cryptominers; reading and posting process.env; obfuscating payloads with base64/eval; and self-propagating (worming) by stealing the maintainer's npm token and republishing trojanized versions of other packages they own.
This skill provides a repeatable triage workflow centered on GuardDog (Datadog's open-source heuristic scanner built on Semgrep + metadata rules), supplemented by manual tarball inspection, lockfile-based compromise checks against known-bad version lists, and dynamic detonation with network and filesystem monitoring. The goal is to decide, quickly and safely, whether a given package or a project's dependency tree contains malicious code.
package.json / package-lock.json during code review or onboarding a third-party library.pip install guarddog
# or run via Docker without local install:
docker pull ghcr.io/datadog/guarddog
alias guarddog='docker run --rm ghcr.io/datadog/guarddog'
--ignore-scripts when downloading for analysis).jq, tar, and optionally OSV-Scanner for known-vulnerability/known-malicious cross-checks:
go install github.com/google/osv-scanner/cmd/osv-scanner@v1
tcpdump, a DNS sink, or a network namespace).| Technique ID | Technique Name | Relevance |
|--------------|----------------|-----------|
| T1195.002 | Supply Chain Compromise: Compromise Software Supply Chain | Core technique — trojanized npm package delivered through the registry. |
| T1059.007 | Command and Scripting Interpreter: JavaScript | Malicious install scripts / module code execute attacker JavaScript. |
| T1552.001 | Unsecured Credentials: Credentials In Files | Packages steal ~/.npmrc, .env, SSH keys, and cloud credential files. |
| T1041 | Exfiltration Over C2 Channel | Stolen secrets posted to attacker HTTP(S) endpoints. |
| T1027 | Obfuscated Files or Information | base64/eval/hex obfuscation hides the payload from review. |
Fetch the tarball with scripts disabled so nothing runs during acquisition.
mkdir triage && cd triage
# Resolve the tarball URL and download it (no install, no scripts)
npm pack [email protected] # produces express-4.18.2.tgz
# or for an arbitrary version:
npm view [email protected] dist.tarball
curl -sL "$(npm view [email protected] dist.tarball)" -o some-pkg.tgz
tar -xzf some-pkg.tgz # extracts into ./package
GuardDog applies metadata + source heuristics and prints which rules matched.
# Scan the latest published version from the registry
guarddog npm scan express
# Scan a specific version
guarddog npm scan some-pkg --version 1.2.3
# Scan the local tarball / extracted directory you downloaded above
guarddog npm scan ./some-pkg.tgz
guarddog npm scan ./package/
verify scans every dependency declared in a manifest — ideal for code review.
guarddog npm verify /path/to/repo/package.json
Filter to the npm rules most indicative of malware to cut noise during triage.
guarddog npm scan some-pkg \
--rules npm-install-script \
--rules npm-serialize-environment \
--rules npm-exec-base64 \
--rules npm-silent-process-execution \
--rules npm-obfuscation \
--rules shady-links \
--rules typosquatting
JSON for tooling, SARIF for GitHub code scanning.
guarddog npm scan some-pkg --output-format=json > guarddog.json
guarddog npm verify package.json --output-format=sarif > guarddog.sarif
Lifecycle scripts are the first thing to read; obfuscation and outbound URLs are red flags.
# Show all lifecycle hooks
jq '.scripts' package/package.json
# Hunt for exfiltration / execution primitives in the source
grep -rEn "child_process|exec\(|spawn|eval\(|Buffer\.from\(.*base64|process\.env|https?://" package/ \
--include='*.js' --include='*.ts' | head -50
During an active campaign, compare pinned versions to the advisory's bad-version list, and run OSV.
# Extract resolved name@version pairs from a v3 lockfile
jq -r '.packages | to_entries[] | select(.key|startswith("node_modules/")) | "\(.key|ltrimstr("node_modules/"))@\(.value.version)"' package-lock.json
# OSV-Scanner flags known-vulnerable AND known-malicious (MAL-) advisories
osv-scanner --lockfile=package-lock.json
Run the install inside a disposable, network-monitored sandbox.
# In a throwaway container / VM with egress capture running (tcpdump -w capture.pcap):
npm install ./some-pkg.tgz # scripts WILL run — sandbox only
# Baseline-diff the filesystem afterwards for writes outside node_modules,
# and inspect capture.pcap for unexpected DNS / HTTP beacons.
Pull URLs, IPs, and hashes for blocking and intel sharing.
grep -rhoE "https?://[a-zA-Z0-9./?=_%:-]+" package/ | sort -u > urls.txt
sha256sum some-pkg.tgz package/*.js > hashes.txt
agent.py orchestrates GuardDog, lifecycle-script inspection, and IOC extraction into one report.
python scripts/agent.py --package some-pkg --version 1.2.3 --output verdict.json
# or against a local tarball:
python scripts/agent.py --tarball ./some-pkg.tgz --output verdict.json
| Tool | Purpose | Source | |------|---------|--------| | GuardDog | Heuristic npm/PyPI/Go malware scanner | https://github.com/DataDog/guarddog | | OSV-Scanner | Known-vulnerable & known-malicious (MAL-) advisory matching | https://github.com/google/osv-scanner | | OSV malicious DB | Open-source malicious package advisories | https://github.com/ossf/malicious-packages | | npm lifecycle docs | preinstall/install/postinstall semantics | https://docs.npmjs.com/cli/v10/using-npm/scripts | | Datadog Security Labs | npm campaign writeups & rules | https://securitylabs.datadoghq.com/ | | Semgrep | Rule engine GuardDog uses for source heuristics | https://semgrep.dev/ |
scan run on the target version with results captured.verify where applicable.preinstall/install/postinstall) read and assessed.tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.