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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 subdomain alerts, JS change detection, GitHub comm…

Install / Use

npx skills add elementalsouls/Claude-BugHunter --skill web2-recon

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

96/100

Category

Automation

Supported Platforms

Zed

Our assessment of web2-recon

web2-recon scores 96/100 on our quality scale, 188th of 2,035 Automation skills we index (top 10%).

Its SKILL.md is 24 KB long, well organised into 122 sections with 23 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
30/30
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 web2-recon 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.

web2-recon compared with similar skills

All 4 of these similar skills score higher than web2-recon; compare them before choosing.

SkillScoreStarsUpdatedFormat
web2-recon (this skill)by elementalsouls964.7k2d agoSKILL.md
Agent-Reachby Panniantong10085.9k13d agoCLAUDE.md
headroomby headroomlabs-ai10074.0k1d agoCLAUDE.md
rufloby ruvnet10073.4ktodayCLAUDE.md
crawl4aiby unclecode10084.4k3d agoMCP Server

Frequently asked questions

How do I install web2-recon?
Run npx skills add elementalsouls/Claude-BugHunter --skill web2-recon. The install tabs above show the steps for each supported agent.
Which AI agents does web2-recon work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is web2-recon safe to use?
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 web2-recon still maintained?
The repository was last updated 2 days ago, so web2-recon is actively maintained.

name: web2-recon description: 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 subdomain alerts, JS change detection, GitHub commit watch). Use when starting recon on any web2 target or when asked about asset discovery, subdomain enum, or attack surface mapping. sources: community, public_research

WEB2 RECON PIPELINE

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


SETUP (one-time)

# 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

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

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

# 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)

# 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)

# 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)

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

# 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.

| Criterion | Points | |---|---| | 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)

# 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

| Stack | Hunt First | Hunt Second | |---|---|---| | Ruby on Rails | Mass assignment | IDOR (:id routes) | | Django | IDOR (ModelViewSet, no object perms) | SSTI (mark_safe) | | Flask | SSTI (render_template_string) | SSRF (requests lib) | | Laravel | Mass assignment ($fillable) | IDOR (Eloquent, no ownership) | | Express (Node.js) | Prototype pollution | Path traversal | | Spring Boot | Actuator endpoints (/actuator/env) | SSTI (Thymeleaf) | | ASP.NET | ViewState deserialization | Open redirect (ReturnUrl) | | Next.js | SSRF via Server Actions | Open redirect via redirect() | | GraphQL | Introspection → auth bypass on mutations | IDOR via node(id:) | | WordPress | Plugin SQLi | REST API auth bypass |


CONTINUOUS MONITORING SETUP

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

New Subdomain Alerts (daily cron)

#!/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

#!/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)

# 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

# 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

# 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 tr

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars4.7k
CategoryAutomation
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