elementalsouls/claude-bughunter

web2-recon

Web2 recon pipeline — subdomain enumeration (subfinder, Chaos API, assetfinder), live host discovery (dnsx, httpx), URL crawling (katana, waybackurls, gau), directory fuzzing (ffuf), JS analysis (LinkFinder, SecretFinder), continuous monitoring (new subdoma…

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仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

WEB2 RECON PIPELINE

Full asset discovery from nothing to a prioritized URL list ready for hunting.


SETUP (one-time)

bash
# 1. Set your Chaos API key (get free key at chaos.projectdiscovery.io)
export CHAOS_API_KEY="your-key-here"
# Add to ~/.zshrc or ~/.bashrc for persistence:
echo 'export CHAOS_API_KEY="your-key-here"' >> ~/.zshrc

# 2. Update nuclei templates (run weekly)
nuclei -update-templates

# 3. Configure subfinder with API keys for more sources
mkdir -p ~/.config/subfinder
cat > ~/.config/subfinder/config.yaml << 'EOF'
# Get free keys at: virustotal.com, securitytrails.com, censys.io, shodan.io
virustotal: [YOUR_VT_KEY]
securitytrails: [YOUR_ST_KEY]
censys_apiid: YOUR_CENSYS_ID
censys_secret: YOUR_CENSYS_SECRET
shodan: [YOUR_SHODAN_KEY]
EOF

# 4. Verify all tools installed
which subfinder httpx dnsx nuclei katana waybackurls gau dalfox ffuf anew gf interactsh-client

THE 5-MINUTE RULE

If a target shows nothing interesting after 5 minutes of recon, move on. Don't burn hours on dead surface.

5-minute kill signals:

  • All subdomains return 403 or static marketing pages
  • No API endpoints visible in URLs
  • No JavaScript bundles with interesting endpoint paths
  • nuclei returns 0 medium/high findings
  • No forms, no authentication, no user data

STANDARD RECON PIPELINE

Pre-Hunt: Always Run First

bash
TARGET="target.com"

# Step 0: Passive — crt.sh certificate transparency (no API key needed)
curl -s "https://crt.sh/?q=%.${TARGET}&output=json" \
  | jq -r '.[].name_value' \
  | sed 's/\*\.//g' \
  | sort -u > /tmp/subs.txt
echo "[+] crt.sh: $(wc -l < /tmp/subs.txt) subdomains"

# Step 1: Chaos API (ProjectDiscovery — most comprehensive source)
curl -s "https://dns.projectdiscovery.io/dns/$TARGET/subdomains" \
  -H "Authorization: $CHAOS_API_KEY" \
  | jq -r '.[]' >> /tmp/subs.txt

echo "[+] Chaos returned $(wc -l < /tmp/subs.txt) subdomains"

# Step 2: subfinder (passive multi-source)
subfinder -d $TARGET -silent | anew /tmp/subs.txt
assetfinder --subs-only $TARGET | anew /tmp/subs.txt

echo "[+] Total subdomains after all sources: $(wc -l < /tmp/subs.txt)"

# Step 3: DNS resolution + live host check
cat /tmp/subs.txt | dnsx -silent | httpx -silent -status-code -title -tech-detect | tee /tmp/live.txt

echo "[+] Live hosts: $(wc -l < /tmp/live.txt)"

# Step 4: URL crawl
cat /tmp/live.txt | awk '{print $1}' | katana -d 3 -jc -kf all -silent | anew /tmp/urls.txt

# Step 5: Historical URLs
echo $TARGET | waybackurls | anew /tmp/urls.txt
gau $TARGET --subs | anew /tmp/urls.txt

echo "[+] Total URLs: $(wc -l < /tmp/urls.txt)"

# Step 6: Nuclei scan
nuclei -l /tmp/live.txt -t ~/nuclei-templates/ -severity critical,high,medium -o /tmp/nuclei.txt

Output to Organized Directory

bash
TARGET="target.com"
RECON_DIR="recon/$TARGET"
mkdir -p $RECON_DIR

# All outputs go here:
/tmp/subs.txt         → $RECON_DIR/subdomains.txt
/tmp/live.txt         → $RECON_DIR/live-hosts.txt
/tmp/urls.txt         → $RECON_DIR/urls.txt
/tmp/nuclei.txt       → $RECON_DIR/nuclei.txt

ATTACK SURFACE TRIAGE

Find Interesting Targets in URL List

bash
# Parameters worth testing
cat /tmp/urls.txt | grep -E "[?&](id|user|file|path|url|redirect|next|src|token|key|api_key)=" | tee /tmp/interesting-params.txt

# API endpoints
cat /tmp/urls.txt | grep -E "/api/|/v1/|/v2/|/v3/|/graphql|/rest/|/gql" | tee /tmp/api-endpoints.txt

# File upload endpoints
cat /tmp/urls.txt | grep -E "upload|file|attachment|document|image|avatar|photo|media" | tee /tmp/uploads.txt

# Admin/internal paths
cat /tmp/urls.txt | grep -E "/admin|/internal|/debug|/test|/staging|/dev|/management|/console" | tee /tmp/admin-paths.txt

# Authentication endpoints
cat /tmp/urls.txt | grep -E "/oauth|/login|/auth|/sso|/saml|/oidc|/callback|/token" | tee /tmp/auth-paths.txt

gf Patterns (Quick Classification)

bash
# Install gf patterns: https://github.com/tomnomnom/gf
cat /tmp/urls.txt | gf xss | tee /tmp/xss-candidates.txt
cat /tmp/urls.txt | gf ssrf | tee /tmp/ssrf-candidates.txt
cat /tmp/urls.txt | gf idor | tee /tmp/idor-candidates.txt
cat /tmp/urls.txt | gf sqli | tee /tmp/sqli-candidates.txt
cat /tmp/urls.txt | gf redirect | tee /tmp/redirect-candidates.txt
cat /tmp/urls.txt | gf lfi | tee /tmp/lfi-candidates.txt
cat /tmp/urls.txt | gf rce | tee /tmp/rce-candidates.txt

JS ANALYSIS

SecretFinder (API keys, tokens in JS bundles)

bash
# Activate venv
source ~/tools/SecretFinder/.venv/bin/activate

# Scan a single JS file
python3 ~/tools/SecretFinder/SecretFinder.py -i "https://target.com/static/js/main.js" -o cli

# Scan all JS URLs found in recon
cat /tmp/urls.txt | grep "\.js$" | head -50 | while read url; do
  echo "=== $url ==="
  python3 ~/tools/SecretFinder/SecretFinder.py -i "$url" -o cli 2>/dev/null
done

deactivate

LinkFinder (Endpoints hidden in JS)

bash
source ~/tools/LinkFinder/.venv/bin/activate

# Single JS file
python3 ~/tools/LinkFinder/linkfinder.py -i "https://target.com/app.js" -o cli

# All pages (crawls JS from HTML)
python3 ~/tools/LinkFinder/linkfinder.py -i "https://target.com" -d -o cli

deactivate

DIRECTORY FUZZING

ffuf — Standard Fuzzing

bash
# Directory discovery on a live host
ffuf -u "https://target.com/FUZZ" \
     -w ~/wordlists/common.txt \
     -mc 200,201,204,301,302,307,401,403 \
     -ac \
     -t 40 \
     -o /tmp/ffuf-dirs.json

# API endpoint discovery
ffuf -u "https://target.com/api/FUZZ" \
     -w ~/wordlists/api-endpoints.txt \
     -mc 200,201,204,301,302 \
     -ac \
     -t 20

# IDOR fuzzing with authenticated request
# Create req.txt with Authorization: Bearer TOKEN
ffuf -request /tmp/req.txt \
     -request-proto https \
     -w <(seq 1 10000) \
     -fc 404 \
     -ac \
     -t 10

TARGET SCORING — GO / NO-GO

Score before spending time. Skip if score < 4.

CriterionPoints
Max bounty >= $5K+2
Large user base (>100K) or handles money+2
Program launched < 60 days ago+2
Complex features: API, OAuth, file upload, GraphQL+1
Recent code/feature changes (GitHub, changelog)+1
Private program (less competition)+1
Tech stack you know+1
Source code available+1
Prior disclosed reports to study+1

< 4: Skip 4-5: Only if nothing better available 6-8: Good — spend 1-3 days >= 9: Excellent — spend up to 1 week

Pre-Dive Hard Kill Signals

  1. Max bounty < $500 → not worth your time
  2. All recent reports are N/A or duplicate → hunters saturated it
  3. Scope is only a static marketing page → no attack surface
  4. Company < 5 employees with no revenue → won't pay
  5. Explicitly excludes your planned bug class in rules

TECH STACK DETECTION (2 min)

bash
# Response headers reveal backend
curl -sI https://target.com | grep -iE "server|x-powered-by|x-aspnet|x-runtime|x-generator"

# Common signals:
# Server: nginx + X-Powered-By: PHP/7.4 → PHP backend
# Server: gunicorn OR X-Powered-By: Express → Python/Node.js
# X-Powered-By: ASP.NET → .NET
# Server: Apache Tomcat → Java
# X-Runtime: Ruby → Ruby on Rails

# Framework from JS bundle paths:
# /_next/static/ → Next.js
# /static/js/main.chunk.js → CRA (React)
# /packs/ → Ruby on Rails + Webpacker
# /__nuxt/ → Nuxt.js (Vue)

Stack → Primary Bug Class Map

StackHunt FirstHunt Second
Ruby on RailsMass assignmentIDOR (:id routes)
DjangoIDOR (ModelViewSet, no object perms)SSTI (mark_safe)
FlaskSSTI (rendertemplatestring)SSRF (requests lib)
LaravelMass assignment ($fillable)IDOR (Eloquent, no ownership)
Express (Node.js)Prototype pollutionPath traversal
Spring BootActuator endpoints (/actuator/env)SSTI (Thymeleaf)
ASP.NETViewState deserializationOpen redirect (ReturnUrl)
Next.jsSSRF via Server ActionsOpen redirect via redirect()
GraphQLIntrospection → auth bypass on mutationsIDOR via node(id:)
WordPressPlugin SQLiREST API auth bypass

CONTINUOUS MONITORING SETUP

Set up once per target. Alerts you before other hunters.

New Subdomain Alerts (daily cron)

bash
#!/bin/bash
TARGET="target.com"
KNOWN="/tmp/$TARGET-subs-known.txt"

subfinder -d $TARGET -silent > /tmp/$TARGET-subs-fresh.txt
curl -s "https://dns.projectdiscovery.io/dns/$TARGET/subdomains" \
  -H "Authorization: $CHAOS_API_KEY" \
  | jq -r '.[]' >> /tmp/$TARGET-subs-fresh.txt

# Diff against known
NEW=$(comm -23 <(sort /tmp/$TARGET-subs-fresh.txt) <(sort $KNOWN 2>/dev/null))

if [ -n "$NEW" ]; then
  echo "NEW SUBDOMAINS: $NEW"
  echo "$NEW" >> $KNOWN
fi

# Schedule: crontab -e → 0 8 * * * /bin/bash ~/monitors/subs-watch.sh

GitHub Commit Watch

bash
#!/bin/bash
REPO="TargetOrg/target-app"
LAST_SHA="/tmp/$REPO-last-sha.txt"

CURRENT=$(curl -s "https://api.github.com/repos/$REPO/commits?per_page=1" | jq -r '.[0].sha')
KNOWN=$(cat $LAST_SHA 2>/dev/null)

if [ "$CURRENT" != "$KNOWN" ]; then
  echo "New commit on $REPO: $CURRENT"
  echo $CURRENT > $LAST_SHA
  # Get changed files
  curl -s "https://api.github.com/repos/$REPO/commits/$CURRENT" \
    | jq -r '.files[].filename' | grep -E "auth|middleware|route|permission|role|admin"
fi

# Schedule: */30 * * * * /bin/bash ~/monitors/github-watch.sh

PORT SCANNING (often skipped — don't skip)

bash
# naabu — fast port scanner from ProjectDiscovery
# Finds non-standard ports: 8080, 8443, 3000, 8888, 9000, etc.
cat /tmp/live.txt | awk '{print $1}' | naabu -port 80,443,8080,8443,3000,4000,5000,8000,8888,9000,9090,9200,6379 -silent | tee /tmp/open-ports.txt

# Why this matters: admin panels, debug services, internal APIs often run on alt ports
# Example wins: :8080/actuator/env (Spring Boot), :9200/_cat/indices (Elasticsearch), :6379 (Redis)

SECRET SCANNING IN JS BUNDLES

bash
# trufflehog — high-signal secret detection with entropy analysis
# Scans JS files and git repos
pip install trufflehog3 2>/dev/null || true
trufflehog filesystem --only-verified recon/$TARGET/ 2>/dev/null

# SecretFinder — manual JS bundle scan (already in tools/)
source ~/tools/SecretFinder/.venv/bin/activate
cat /tmp/urls.txt | grep "\.js$" | head -100 | while read url; do
  python3 ~/tools/SecretFinder/SecretFinder.py -i "$url" -o cli 2>/dev/null
done
deactivate

# Quick grep for common patterns in downloaded JS
wget -q -r -l 1 -A "*.js" -P /tmp/js-files/ "https://$TARGET" 2>/dev/null
grep -rn "api_key\|apiKey\|client_secret\|access_token\|private_key\|AWS_SECRET\|AKIA" /tmp/js-files/ 2>/dev/null

GITHUB DORKING FOR TARGET

bash
# Search GitHub for hardcoded secrets before hunting the app
TARGET_ORG="TargetOrgName"  # Check their GitHub org

# Useful dorks (search on github.com):
# org:TARGET_ORG password
# org:TARGET_ORG api_key
# org:TARGET_ORG "Authorization: Bearer"
# org:TARGET_ORG .env
# org:TARGET_ORG "BEGIN RSA PRIVATE KEY"

# CLI with gh (GitHub CLI):
gh search code "api_key" --owner "$TARGET_ORG" --json path,repository 2>/dev/null | jq '.'
gh search code "password" --owner "$TARGET_ORG" --json path,repository 2>/dev/null | head -20

# GitDorker (if installed):
python3 ~/tools/GitDorker/GitDorker.py -t GITHUB_TOKEN -d ~/tools/GitDorker/Dorks/alldorksv3 -q "$TARGET" -org

30-MINUTE RECON PROTOCOL

Minutes 0-5: Read Program Page

Note:
- ALL in-scope assets (every domain listed)
- Out-of-scope list (read carefully — common trap)
- Safe harbor statement
- Impact types accepted (some exclude "low")
- Average bounty amount (signals program generosity)

Minutes 5-15: Asset Discovery

Run the standard pipeline above. Focus on live.txt output.

Minutes 15-25: Surface Map

Run gf patterns and the interesting-params grep above.

Minutes 25-30: Manual Exploration

Open Burp Suite. Browse the app with proxy on:

  1. Register an account
  2. Perform main user actions (create/read/update/delete resources)
  3. Note all API calls in Burp history
  4. Look for endpoints not in your URL list

After 30 min: Prioritize

Priority 1: API endpoints with ID parameters → IDOR candidates
Priority 2: File upload features → XSS/RCE candidates
Priority 3: OAuth/SSO flows → auth bypass candidates
Priority 4: Search/filter with user input → SQLi/SSRF/SSTI candidates
Priority 5: Admin/debug endpoints → auth bypass candidates

Toolchain fallback (when dnsx / httpx crash)

The projectdiscovery Go binaries (dnsx, httpx, naabu) occasionally SIGSEGV on macOS arm64 due to a cgo / system-resolver interaction. The crash signature is identical regardless of install method — both brew install and go install github.com/projectdiscovery/<tool>@latest produce binaries that segfault at the same address. Smoke-test once before relying on them in a real engagement:

bash
dnsx -version   # if SIGSEGV: use the dig fallback below
httpx -version  # if SIGSEGV: use the curl fallback below

dnsxdig fallback

bash
# Replaces: dnsx -l subs.txt -a -resp -silent
while read s; do
  ips=$(dig +short +tries=1 +time=3 "$s" \
    | grep -E '^[0-9.]+$' \
    | paste -sd, -)
  [ -n "$ips" ] && echo "$s|$ips"
done < subs.txt

httpxcurl fallback

bash
# Replaces: httpx -l subs.txt -silent -status-code -title -tech-detect
while read s; do
  resp=$(curl -s -L -m 5 -o /tmp/body \
    -w "%{http_code}|%{url_effective}|%{header_server}" \
    "https://$s")
  code=$(echo "$resp" | cut -d'|' -f1)
  if [ "$code" != "000" ]; then
    title=$(grep -oE '<title[^>]*>[^<]*</title>' /tmp/body | head -1 | sed 's/<[^>]*>//g')
    echo "$s|$resp|$title"
  fi
done < subs.txt

Trade-off: Serial vs. concurrent. The fallback handles ~24 subdomains in 14 seconds; the same workload on httpx with default 50 threads finishes in 2-3 seconds. For VDP-scale recon (< 100 subdomains) the fallback is fine. For mass recon (1000+) fix the toolchain first.

Verified against HackerOne's own VDP in docs/verification/recon-hackerone-vdp.md.


API Spec / Swagger / OpenAPI Discovery (2024-2026 surface)

API spec endpoints are the single highest-leverage recon target on any modern .NET / Node / Python / Java backend. The spec discloses every endpoint, HTTP methods, parameter names + types + formats, models, validation rules — a complete attack-map in JSON. Default routes are commonly left enabled in production. Add this wordlist to the directory-fuzzing phase (after the standard common.txt pass).

Default discovery path wordlist (paste into swagger-paths.txt)

# NSwag / Swashbuckle (ASP.NET Core)
/swagger
/swagger/
/swagger/index.html
/swagger/ui/index.html
/swagger/v1/swagger.json
/swagger/v2/swagger.json
/swagger/v3/swagger.json
/swagger/docs/v1
/swagger/docs/v2
/swagger-ui
/swagger-ui/
/swagger-ui.html
/swagger-resources
/swagger-resources/configuration/ui
/nswag
/nswag/index.html
/api/swagger
/api/swagger.json
/api/swagger/v1/swagger.json
/api/openapi
/api/openapi.json
/api/v1/swagger.json
/api/v2/swagger.json
/api-docs
/api-docs/swagger.json

# OpenAPI generic
/openapi
/openapi.json
/openapi.yaml
/openapi.yml
/openapi/v1.json
/openapi/v2.json
/openapi/v3.json
/.well-known/openapi.json

# Java / Spring (Springfox / springdoc)
/v2/api-docs
/v3/api-docs
/v3/api-docs.yaml
/v3/api-docs/swagger-config
/swagger-ui/index.html

# Python (FastAPI / Flask-RESTPlus / Connexion / DRF)
/docs
/docs/
/redoc
/redoc/
/openapi.json
/swagger.json
/swagger/?format=openapi
/swagger.yaml

# Express / Node / Hapi
/api-docs
/api-docs.json
/swagger.json
/swagger-stats
/graphql-docs

# GraphQL adjacent (often co-located)
/graphql
/graphiql
/playground
/altair
/voyager
/graphql/console
/graphql-explorer

# ReDoc / RapiDoc / Stoplight / alt UIs
/redoc
/redoc.html
/redoc-ui.html
/rapidoc
/rapidoc.html
/stoplight
/elements

# Misc / dev-leftover
/actuator
/actuator/openapi
/actuator/mappings
/q/openapi
/q/swagger-ui
/docs/swagger.json
/api/v1/docs
/api/v2/docs
/internal/swagger
/admin/swagger
/management/swagger

Integration with the standard pipeline

bash
# After live-hosts.txt is built (Phase 1 / 2), run:
ffuf -w swagger-paths.txt -u "https://FUZZ.target.com" -mc 200,302 -fs 0 -t 50 -o swagger-hits.json
# Or with httpx for content-aware filtering:
httpx -l live-hosts.txt -path swagger-paths.txt -mc 200 -mr "swagger|openapi" -json | tee swagger-hits.jsonl
# For every hit:
jq '.paths | keys' swagger.json > endpoints.txt
jq '.components.schemas' swagger.json > schemas.json   # mass-assignment field candidates

Why this matters for recon-to-hunting handoff

  • Spec → mass IDOR/BOLAjq '.paths | keys' swagger.json becomes the input list for Autorize/ffuf per-user testing.
  • Spec → mass-assignment payload constructioncomponents.schemas.UserUpdateDto enumerates isAdmin, emailVerified, tenantId, role.
  • Spec → hidden endpoint discovery/internal/*, /debug/*, /v0/*, /legacy/* routes documented but never auth-gated.
  • Spec → injection-class seeding — every parameter's type + format + enum + max-length means payloads pass validation before reaching the sink. Especially valuable against ASP.NET Core where the model binder rejects malformed input before any controller logic.

Tools

  • kiterunner — natively ingests OpenAPI spec, generates requests against the API.
  • sj (Swagger Jacker) — purpose-built for Swagger spec exploitation.
  • apidetector (brinhosa) — Swagger-UI mass scanner.
  • XSSwagger (vavkamil) — detects vulnerable Swagger UI versions (CVE-2018-25031 family).
  • nuclei -t http/exposures/apis/ — built-in templates for default spec paths.

Anti-pattern reminder

A 404/403 on /swagger does NOT mean no spec is exposed. Many .NET projects route the spec under /api/swagger/v1/swagger.json rather than /swagger. Always test the full path list, not just the root.

Full attack-chain analysis is in hunt-api-misconfigNSwag / Swagger / OpenAPI Spec Exposure.


Related Skills & Chains

  • `offensive-osint` — When recon needs concrete probes / wordlists / regexes beyond the basic pipeline. Workflow primitive: this skill produces the URL set; offensive-osint provides the secret regexes, GraphQL/Swagger paths, and identity-fabric probes you apply to that URL set.
  • `osint-methodology` — When you need a severity rubric for what you discovered. Workflow primitive: after recon outputs subdomains.txt / live-hosts.txt / urls.txt, score each asset against osint-methodology's findings rubric to decide what gets a finding versus what stays in the asset graph.
  • `hunt-subdomain` — When recon surfaces stale CNAMEs / dangling DNS. Workflow primitive: any subdomain in subdomains.txt whose CNAME points to S3 / GitHub Pages / Heroku / Shopify / Azure should auto-route to hunt-subdomain for takeover validation.
  • `security-arsenal` — When the URL set is classified by gf and ready for active testing. Workflow primitive: gf xss/ssrf/sqli/idor output names become payload-class queries against security-arsenal's payload library.
  • `bb-methodology` — When recon completes and Phase 1 transitions to Phase 2 (Mapping). Workflow primitive: hand the live host + URL set back to bb-methodology Phase 2 for endpoint mapping and Phase 3 vulnerability discovery routing.

Operator Notes (Claude-BugHunter)

Engagement-derived + 2026-specific additions to the vendored foundation. Wisdom from real authorized engagements + Phase 2 verification across this repo's 31+ skill-area live tests. The upstream pipeline covers the WHAT; this layer covers the WHEN-IT-WORKS-vs-WHEN-IT-DOESN'T.

Cross-TLD pivot discipline

Phase 2C's HackerOne VDP recon walked from hackerone.com (24 subdomains) into a sister TLD hacker.one (12 more subdomains found in JS bundle references). Operators who only enumerate *.target.com miss attack surface that the target legitimately operates on a different domain.

Always grep JS bundles for plausible sibling TLDs:

bash
# pull all JS, grep for sibling-TLD candidates
for url in $(cat live-hosts.txt); do
  curl -s "$url" | grep -oE 'src="[^"]+\.js"' | sed 's/src="//;s/"//'
done | sort -u > js-urls.txt

# then on each JS file
for j in $(cat js-urls.txt); do
  curl -s "$j" | grep -oE '[a-z0-9.-]+\.(io|app|one|dev|test|cloud|ai|co)' | sort -u
done | sort -u > sibling-tld-candidates.txt

Common sibling-TLD patterns: target.com → target.io / target.app / target.one / target.dev / target.test / target-corp.com / target-cdn.net. Always validate via WHOIS or by checking if the cert chain trusts the same internal CA before treating the sister TLD as in-scope.

Subdomain wordlist priorities by 2026

Top discovery prefixes by hit rate against enterprise VDPs in our 2024-2026 corpus:

mta-sts.*          api.*              docs.*
dev-*              staging-*          *-qa
*-stage            *-uat              events.*
portal.*           customer.*         partner.*
vendor.*           internal-*         admin-*
employee-*         hr.*               jobs.*
sso.*              auth.*             id.*

Internal-looking subdomains often expose more surface than the marketing site — partner.target.com and vendor-portal.target.com frequently have weaker auth than the main app because they're scoped for "trusted" external users. Always send a probe to the long-tail wordlist after the standard subfinder run completes.

Live-host probe: how to fingerprint stack quickly

curl -sI <host> headers are 80% of the fingerprint:

  • Server: — apache / nginx / cloudflare / kestrel (= .NET Core) / openresty / envoy
  • X-Powered-By: — PHP version, ASP.NET version, Express.js
  • X-Drupal-Cache, X-Generator: Drupal 9 — Drupal
  • X-Generator: WordPress — WordPress
  • Via: — CDN chain (1.1 varnish, 1.1 cloudfront)
  • Set-Cookie: names — JSESSIONID (Java), PHPSESSID (PHP), ASP.NET_SessionId (.NET), connect.sid (Express), laravel_session (Laravel)

JS bundle filename patterns:

  • /_next/static/ = Next.js
  • /_nuxt/ = Nuxt
  • /assets/static/ with hash filenames = Vite
  • /static/js/main.*.chunk.js = Create React App
  • runtime.*.js + polyfills.*.js + main.*.js = Angular CLI

The first 10s of recon should yield a stack guess; the rest is targeting. If your fingerprint contradicts itself (Server says nginx, Set-Cookie says ASP.NET) you've found a reverse proxy front-end — note the origin app for later smuggling/cache attacks.

GitHub Pages 404 vs takeover signal

Critical distinction operators get wrong:

  • "Page not found · GitHub Pages" with HTTP 404 means the repo EXISTS — NOT a takeover.
  • "There isn't a GitHub Pages site here" means the repo was deleted — TAKEOVER candidate.

Same distinction for CloudFront:

  • "Error - 404" with Server: CloudFront = distribution exists, origin returned 404 — NOT a takeover.
  • "The request could not be satisfied" with X-Cache: Error from cloudfront = origin missing entirely — potential takeover.

Phase 2C verified both patterns live. Always check the EXACT response body string before filing a takeover finding — the takeover-scanner tools (subzy, subjack) match on multiple fingerprints and frequently false-positive on the "still owned, just empty" case.

Toolchain fallback

Already covered in this file's Phase 2C addition. Quick reminder: dnsx/httpx may segfault on macOS arm64; the dig+curl fallback works for < 100-host runs in ~14 seconds. Don't burn an hour debugging Go binary panics when the fallback gets you to the same URL set.

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apk-redteam-pipeline

End-to-end Android APK red-team pipeline — automated APK acquisition (Play Store + apkpure + apkmirror fallback), jadx decompilation, secret/URL/JWT/Firebase grep, pinned-cert extraction, exported-component enumeration, Frida runtime instrumentation templates, intent-injection probes. Built from an authorized external red-team engagement where 7 APKs were pulled manually, 4 download attempts truncated, and a hardcoded JWT + 30 internal API endpoints were recovered from one of the apps. Use when target has a mobile app catalogue (Play Store developer page), when you find an APK URL hosted on a web server, or when post-recon mentions "mobile app" in scope.

安装量
1
GitHub Stars
4581
最近更新
9月20日
elementalsouls
社区

bb-local-toolkit

Local-tooling companion to the bug-bounty orchestrator — carries the SAME complete bug-bounty workflow, but reach for THIS variant when you also need to resolve where tools, wordlists, and clones are installed on the local machine (jhaddix, SecLists, trufflehog, ffuf, dalfox, ghauri); for pure orchestration/routing use the bug-bounty skill. Workflow it covers — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gates, human-tone writing, templates by vuln class, CVSS 3.1, PoC generation, always-rejected list, conditional chain table, submission checklist). Use when you need the local install path of a tool / wordlist / clone for a hunt, or as the full-workflow variant when operating from this local toolkit; for general routing use the bug-bounty skill. 中文触发词:漏洞赏金、安全测试、渗透测试、漏洞挖掘、信息收集、子域名枚举、XSS测试、SQL注入、SSRF、安全审计、漏洞报告

安装量
1
GitHub Stars
4581
最近更新
9月20日
elementalsouls
社区

bb-methodology

Use at the START of any bug bounty hunting session, when switching targets, or when feeling lost about what to do next. Master orchestrator that combines the 5-phase non-linear hunting workflow with the critical thinking framework (developer psychology, anomaly detection, What-If experiments). Routes to all other skills based on current hunting phase. Also use when asking "what should I do next" or "where am I in the process."

安装量
1
GitHub Stars
4581
最近更新
9月20日
elementalsouls
社区

bug-bounty

Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gates, human-tone writing, templates by vuln class, CVSS 3.1, PoC generation, always-rejected list, conditional chain table, submission checklist). Use for ANY bug bounty task — starting a new target, doing recon, hunting specific vulns, auditing source code, testing AI features, validating findings, or writing reports. 中文触发词:漏洞赏金、安全测试、渗透测试、漏洞挖掘、信息收集、子域名枚举、XSS测试、SQL注入、SSRF、安全审计、漏洞报告

安装量
1
GitHub Stars
4581
最近更新
9月20日