AI-powered bug bounty hunting — recon to report, in your terminal.
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Built and maintained by AwareXone · Website · X · GitHub

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Trusted By Engineers At

Where this project's stargazers say they work.

_{Compiled from public GitHub profiles of this repository's stargazers - 43 people across 30 organizations, counted from the employer each person lists on their own profile or from their public organization memberships. No individual accounts are named. These companies have not endorsed or sponsored this project; their logos are shown as trademarks of their respective owners.}

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What Is This?

Agentic Bug Hunter finds real, reportable bugs, not theoretical ones. Point it at a target and it runs recon, tests for vulnerabilities, validates findings against a strict gate, and writes a submission-ready report for HackerOne, Bugcrowd, Intigriti, or Immunefi.

It remembers everything: patterns found on one target inform the next, and sessions pick up where they left off.

Works as a Claude Code plugin, or as a fully standalone CLI (bughunter) with no subscription required.

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Standalone Mode: No Subscription Required

You no longer need Claude Code, Claude Pro, or any paid AI subscription.

Install once, use the bughunter command from any terminal on your machine:

git clone https://github.com/Awarexone/Agentic-Bug-Hunter.git
cd Agentic-Bug-Hunter
./install.sh --agent standalone

Rerun the same command after pulling updates. The installer detects and refreshes the active managed bughunter command, including older installations under /usr/local/bin or ~/.local/bin, while preserving your saved provider configuration in ~/.bughunter/config.json.

To uninstall the standalone command while keeping its configuration:

./uninstall.sh --agent standalone

Use --purge-config to also delete ~/.bughunter/config.json. The uninstaller also supports claude, opencode, pi, codex, agents, and all targets.

bughunter help               # show every command
bughunter setup              # choose your AI provider (Ollama is free + offline)
bughunter recon target.com   # map the attack surface
bughunter hunt  target.com   # hunt for vulnerabilities
bughunter validate "finding" # 7-Question Gate on your finding
bughunter report             # write a submission-ready report
bughunter chat               # interactive AI hunting shell
bughunter providers          # list all available AI providers
bughunter models             # list models and show the selected one
bughunter status             # check which provider is active
bughunter h target.com       # short alias for hunt
bughunter r target.com       # short alias for recon
bughunter v "finding"        # short alias for validate

Free AI Providers (auto-detected, free-first priority)

Provider	Cost	Privacy	Speed	Get Started
Ollama	100% free · runs locally	Full - stays on your machine	Fast	ollama pull qwen2.5:14b
Groq	Free tier available	Cloud	Very fast	console.groq.com → get API key
DeepSeek	Very cheap (v4-flash / v4-pro)	Cloud	Fast	platform.deepseek.com
Claude API	Paid	Cloud	Fast	console.anthropic.com
OpenAI	Paid	Cloud	Fast	platform.openai.com
Grok (xAI)	Paid	Cloud	Fast	console.x.ai → grok-4.5
OpenRouter	Subscription / pay-as-you-go	Cloud	Fast	openrouter.ai/keys → get API key
OrcaRouter	Subscription / pay-as-you-go	Cloud	Fast	orcarouter.ai → get API key
LiteLLM	Uses your existing provider keys	Cloud / self-hosted proxy	Fast	docs.litellm.ai → one gateway for 100+ models

BugHunter auto-detects providers in this order: Ollama → Groq → DeepSeek → … → OrcaRouter → OpenRouter → Claude → OpenAI. LiteLLM is opt-in (selected explicitly or when LITELLM_API_KEY is set) so it never preempts a provider you already configured.

Switch providers or choose an installed Ollama model anytime: bughunter setup. The setup can also be fully non-interactive:

bughunter setup --provider ollama --model qwen2.5:14b

For a one-off override, put the option before the command:

bughunter --provider ollama --model qwen3:14b hunt target.com

Zero-cost fully offline setup

# 1. Install Ollama (runs AI locally, no internet needed after download)
curl -fsSL https://ollama.ai/install.sh | sh
ollama pull qwen2.5:14b          # ~9 GB, one-time download

# 2. Install BugHunter
git clone https://github.com/Awarexone/Agentic-Bug-Hunter.git
cd Agentic-Bug-Hunter
./install.sh --agent standalone   # creates system-wide 'bughunter' command

# 3. Hunt
bughunter setup       # choose Ollama, then choose one of its installed models
bughunter recon target.com

Groq setup (free cloud, fastest option)

export GROQ_API_KEY="your-key-here"     # free at console.groq.com
./install.sh --agent standalone
bughunter setup       # choose Groq
bughunter hunt target.com

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Quick Start

Option A - standalone (no subscription, works for everyone)

git clone https://github.com/Awarexone/Agentic-Bug-Hunter.git
cd Agentic-Bug-Hunter
./install.sh --agent standalone   # creates system-wide 'bughunter' command
bughunter setup                   # pick a free AI provider
bughunter recon target.com
bughunter hunt  target.com
bughunter validate "my finding"
bughunter report

Option B - Claude Code plugin (requires Claude Code)

git clone https://github.com/Awarexone/Agentic-Bug-Hunter.git
cd Agentic-Bug-Hunter
chmod +x install_tools.sh && ./install_tools.sh   # subfinder · httpx · nuclei · katana · ffuf
chmod +x install.sh      && ./install.sh          # skills + commands → ~/.claude/

claude
/recon target.com        # map the attack surface
/hunt target.com         # test for vulnerabilities
/validate                # run the 7-Question Gate
/report                  # write the submission

Option C - let Claude install it (Claude Code only)

Open your terminal, run claude, then paste:

Install the Claude Bug Bounty toolkit from https://github.com/Awarexone/Agentic-Bug-Hunter
into ~/tools/. Clone the repo, run ./install_tools.sh then ./install.sh.
Verify /recon /hunt /validate /report are available.

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MCP

Use Agentic-Bug-Hunter from AI agents (Cursor, Claude Code, Codex, OpenCode).

AI Agent → Agentic-Bug-Hunter MCP → Scope → Recon → Hunt → Validate → Report

pip install 'mcp>=1.28'
./install.sh --agent mcp
bughunter mcp doctor
bughunter mcp serve

MCP is an adapter over the existing research engine — not a second scanner. Active tools require scope and explicit approval. See docs/mcp.md.

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Commands

Core Workflow

Command	What It Does
/recon target.com	Subdomain enum · live host probing · URL crawl · nuclei sweep
/hunt target.com	Tests IDOR · auth bypass · SSRF · XSS · SQLi · logic flaws and more
/validate	7-Question Gate - kills weak findings before you waste time reporting
/report	Generates an H1 · Bugcrowd · Intigriti · Immunefi submission in 60s
/autopilot target.com	Full loop, autonomous - scope → recon → hunt → validate → report

Recon & Enumeration

Command	What It Does
/surface target.com	Ranked attack surface from recon data + memory
/scope-aggregate <program>	All in-scope assets across H1 · Bugcrowd · Intigriti · YWH · Immunefi
/cloud-recon --keyword <name>	Public S3 · Azure · GCP buckets + CloudFlare-bypass origin IPs
/param-discover <url>	Hidden HTTP parameters via Arjun · x8
/secrets-hunt --js-bundle <dir>	Leaked credentials in source, JS bundles, or a GitHub org
/takeover --recon <dir>	Subdomain takeover candidates via dnsReaper · subjack
/scan-cves <host>	Focused nuclei high/critical sweep + optional log4j-scan
/bypass-403 <url>	Header · method · encoding tricks against 403/401
/portscan <host>	Open ports + non-web services (Redis · Docker API · DBs · RDP) via naabu/smap
/screenshot -l urls.txt	Screenshot live hosts into an HTML gallery - triage + PoC evidence

Scanners (Web + LLM)

Command	What It Does
/cors <url>	CORS misconfig - origin reflection · null · credentialed
/crlf <url>	CRLF / response-splitting + host-header injection
/nosqli <url>	NoSQL injection (operator bypass · $where timing)
/jwt-scan <token>	Offline JWT toolkit - alg:none · RS256→HS256 · secret crack
/oob <target>	Out-of-band listener (interactsh) for blind SSRF/XXE/SQLi
/sast <path>	Semgrep security packs over fetched JS/source → ranked sinks
/domxss <url>	Confirms DOM XSS in headless Chromium - reports only when the payload executes
/llm-redteam <endpoint>	LLM red-team corpus - prompt injection · jailbreak · exfil

Smart Contract (Web3)

Command	What It Does
/web3-audit <contract.sol>	10-class smart contract audit with Foundry PoC template
/token-scan <contract>	Rug pull scanner - mint authority · LP lock · honeypot · bonding curve

Session & Utility

Command	What It Does
/pickup target.com	Resume from last session - untested endpoints first
/intel target.com	CVEs + disclosed reports relevant to this target
/chain	Bug A found → finds bugs B and C that chain with it
/scope <asset>	Checks if a domain or URL is in scope before you test it
/triage	Quick 2-minute go/no-go check
/remember	Logs the current finding or technique to hunt memory
/memory-gc	Inspect or rotate hunt-memory JSONL files (10 MB cap, 3 backups)
/arsenal [tool]	Lists installed external tools or prints an install hint

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What It Finds

26 Web2 Vulnerability Classes

Vulnerability	Typical Payout
IDOR / BOLA	$500 – $5K
Auth Bypass	$1K – $10K
XSS (Stored / Reflected / DOM)	$500 – $5K
SSRF	$1K – $15K
Business Logic	$500 – $10K
Race Conditions	$500 – $5K
SQL Injection	$1K – $15K
OAuth / OIDC	$500 – $5K
File Upload → RCE	$500 – $10K
GraphQL Auth Bypass	$1K – $10K
LLM / Prompt Injection	$500 – $10K
API Misconfiguration (mass assignment · JWT · CORS)	$500 – $5K
Account Takeover	$1K – $20K
SSTI	$2K – $10K
Subdomain Takeover	$200 – $5K
Cloud / Infra Exposure	$500 – $20K
HTTP Request Smuggling	$5K – $30K
Cache Poisoning	$1K – $10K
MFA / 2FA Bypass	$1K – $10K
SAML / SSO Attack	$2K – $20K
Error Disclosure / Debug Endpoints	$200 – $5K
CSS Injection	$500 – $5K
LFI → RCE	$1K – $15K
Insecure Deserialization	$5K – $30K
Dependency Confusion / Supply Chain	$1K – $20K
Padding Oracle / Crypto Misuse	$2K – $20K

10 Web3 / Smart Contract Bug Classes

Vulnerability	Typical Payout
Accounting Desync	$50K – $2M
Access Control	$50K – $2M
Incomplete Code Path	$50K – $2M
Off-By-One	$10K – $100K
Oracle Manipulation	$100K – $2M
ERC4626 Share Inflation	$50K – $500K
Reentrancy	$10K – $500K
Flash Loan Attack	$100K – $2M
Signature Replay	$10K – $200K
Proxy / Upgrade	$50K – $2M

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AI Agents

Nine specialists, each built for one job:

Agent	Role
recon-agent	Subdomain enum · live host discovery · URL crawl
report-writer	Impact-first reports that get paid, not N/A'd
validator	Runs the 7-Question Gate - kills weak findings
web3-auditor	Smart contract audit across 10 bug classes
chain-builder	Bug A → finds bugs B and C that chain with it
autopilot	Full hunt loop with safety checkpoints
recon-ranker	Ranks attack surface by highest-value targets first
token-auditor	Meme coin / token rug pull and security scan
credential-hunter	Wordlist gen → OSINT → breach-check → spray (hard-stop before spray)

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How It Works

   You ─▶ /recon ─▶ /hunt ─▶ /validate ─▶ /report
              │                  │
              ▼                  ▼
        Hunt Memory       7-Question Gate
   (persists across    (kills weak findings
       sessions)         before you submit)

Every tool in the pipeline is gated on whether it's installed - missing tools are skipped, not errors. Auth headers set once carry through httpx · katana · ffuf · nuclei · dalfox automatically.

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Project Structure

Click to expand the full tree

Agentic-Bug-Hunter/
│
├── skills/                    # AI knowledge bases - loaded as /skill-name
│   ├── bug-bounty/            # Master workflow - all vuln classes, LLM testing, chains
│   ├── bb-methodology/        # Hunting mindset · 5-phase workflow · session discipline
│   ├── web2-recon/            # Subdomain enum · live host discovery · URL crawl
│   ├── web2-vuln-classes/     # 26 bug classes with bypass tables
│   ├── security-arsenal/      # Payloads · bypass tables · gf patterns
│   ├── triage-validation/     # 7-Question Gate · 4 gates · never-submit list
│   ├── report-writing/        # Templates for H1 · Bugcrowd · Intigriti · Immunefi
│   ├── web3-audit/            # Smart contract bugs · Foundry PoC · 10 bug classes
│   ├── meme-coin-audit/       # Rug pull detection · LP attacks · bonding curve
│   ├── credential-attack/     # Password spray methodology · legal guardrails
│   └── client-reverse/        # Request-signing / anti-bot token reversal
│
├── commands/                  # 33 slash commands (/recon /hunt /validate /report …)
├── agents/                    # 9 specialized AI agents (recon, validator, reporter …)
│
├── tools/                     # Python + shell scanner pipeline (~35 tools)
│   ├── hunt.py                # Master orchestrator
│   ├── recon_engine.sh        # Subdomain + URL discovery
│   ├── vuln_scanner.sh        # XSS · SQLi · SSRF · SSTI probe pipeline
│   ├── validate.py            # 4-gate finding validator with identity checks
│   └── …                      # 30+ more scanners - see tools/README.md
│
├── memory/                    # Cross-session hunt memory (pattern DB · audit log)
├── rules/                     # Always-active hunting + reporting rules
├── tests/                     # Regression test suite (pytest)
├── web3/                      # 13-chapter smart contract audit guide
├── mcp/                       # MCP — native BugHunter server + Burp · Caido · HackerOne
├── wordlists/                 # Curated wordlists + SecLists / PayloadsAllTheThings refs
├── scripts/                   # Dork runner · full hunt pipeline
├── hooks/                     # Claude Code hook configuration
├── site/                      # bughunter.fun landing page
├── demo/                      # Local vulnerable target for tutorial recordings
│
├── docs/                      # Extended documentation
│   ├── advanced-techniques.md # Exploitation techniques + chaining strategies
│   ├── auth-sessions.md       # Auth header management guide
│   ├── payloads.md            # Payload reference for common vuln classes
│   ├── smart-contract-audit.md# Smart contract audit deep-dive
│   ├── TUTORIAL.md            # A→Z video tutorial walkthrough
│   └── TODOS.md               # Open improvement items
│
├── .github/                   # GitHub community health files
│   ├── CONTRIBUTING.md        # How to contribute
│   ├── CODE_OF_CONDUCT.md     # Community standards
│   ├── SECURITY.md            # Vulnerability reporting policy
│   ├── PULL_REQUEST_TEMPLATE.md
│   └── ISSUE_TEMPLATE/        # Bug report · Feature request · False positive
│
├── engine.py                  # Standalone CLI - 'bughunter' command, no subscription needed
├── brain.py                   # Multi-provider LLM layer (Ollama · Groq · DeepSeek · Claude · OpenAI)
├── agent.py                   # LangGraph-style ReAct hunting agent
├── install.sh                 # Install skills + commands → ~/.claude/ (or standalone mode)
├── install_tools.sh           # Install subfinder · httpx · nuclei · katana · ffuf …
├── uninstall.sh               # Remove skills + commands from ~/.claude/
├── uninstall_tools.sh         # Remove external scanning tools
├── serve.py                   # Launch local demo target (python3 serve.py)
├── config.example.json        # Auth session config template
├── requirements.txt           # Python dependencies
├── CLAUDE.md                  # Claude Code plugin manifest (auto-loaded)
├── AGENTS.md                  # Multi-harness plugin guide (OpenCode · Codex · Pi)
├── SKILL.md                   # Master skill shortcut (auto-loaded by agent harnesses)
├── OPENCODE.md                # OpenCode-specific installation guide
├── CHANGELOG.md               # Version history
├── FAQ.md                     # Frequently asked questions
└── TERMS.md                   # Terms of use + authorized testing only

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Installation

Prerequisites:

# macOS
brew install go python3 jq

# Linux (Ubuntu/Debian)
sudo apt install golang python3 jq

Scanning tools (installs subfinder · httpx · nuclei · katana · ffuf · gau · dnsx · nmap · dalfox and more):

chmod +x install_tools.sh && ./install_tools.sh

Standalone bughunter command (no subscription, works without Claude Code):

./install.sh --agent standalone
bughunter setup    # choose Ollama (free) · Groq (free tier) · DeepSeek (cheap) · Claude · OpenAI

AI skills + commands into Claude Code:

chmod +x install.sh && ./install.sh

Other agent harnesses:

./install.sh --agent opencode    # OpenCode
./install.sh --agent pi          # Pi Agent
./install.sh --agent codex       # Codex
./install.sh --agent all         # every supported target

Optional: Chaos API key (better subdomain coverage)

export CHAOS_API_KEY="your-key"
echo 'export CHAOS_API_KEY="your-key"' >> ~/.zshrc

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Rules

Seven rules run every session, no exceptions:

#	Rule	Why
1	Read full scope first	Only test what the program authorizes
2	Real bugs only	"Can an attacker do this RIGHT NOW?" - if no, stop
3	Kill weak findings	A 30-second check saves hours of wasted reporting
4	Never go out of scope	One wrong request can get you banned
5	5-minute rule	No progress after 5 minutes? Move on
6	Validate before report	/validate before spending 30 minutes writing
7	Impact first	Test the bugs with the worst consequences first

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Contributing

PRs welcome. Most valuable:

• New scanner modules or detection techniques
• Payload additions to skills/security-arsenal/SKILL.md
• Methodology improvements backed by paid reports
• Platform support (YesWeHack · Synack · HackenProof)

git checkout -b feature/your-contribution
git commit -m "feat: short description"
git push origin feature/your-contribution

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Used By

Teams and researchers running BugHunter in their workflow.

AwareXone AI agent vs. scams & fraud

Open a one-line PR

Using BugHunter in your team, program, or workflow? Add yourself - a quick PR to ADOPTERS.md, or open an issue. Real, verifiable entries only.

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Support This Project

If BugHunter helps your hunts, you can fuel more of them — every contribution helps build more open-source security tools.

Crypto Donations

	Address
Bitcoin (BTC)	1GXwGqmLcnbZWgVNskUAZyw2cmqenkUFNY
Solana (SOL)	4ArkPu1E7tkrt3d5X84grWzF1xjuLpScgGEy12Bp2cmE

Sponsorship

We're open to sponsors. Sponsoring funds new features and keeps the standalone mode free for everyone, and gets your logo and a link right here in the README, plus a credit in every release.

Want to sponsor? Reach out at AwareXone.com or b2b@awarexone.com.

AwareXone

BugHunter is built and maintained by AwareXone. Beyond open-source tools like this one, AwareXone builds AI-driven defenses against scams, fraud, and social engineering, and offers social engineering defense and human risk consultancy for organizations. If that's something your team needs, get in touch.

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More from AwareXone

Building apps with AI? Pair BugHunter with AXguard — scan and fix common security issues in vibe-coded apps before you ship.

View AXguard on GitHub → · hello@awarexone.com

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Thanks

29 people have contributed to BugHunter. Click any avatar to open their GitHub profile.

shuvonsec	shuv0n	letztek	bertolikimberly	venkatas	DebasishTripathy13
adityaax	BeargleIndustries	ftacorn	ultra-supara	AurisDSP	Edneam
depapp	Realgagenichols	H4d3es	thuvh	onlybugs05	savioruz
Marc-oss-hub	Paebak	NaorYaacov	nurazhardotcom	OctoBored	prodmanpd
SeekAndExploit	Shawanga	zeze-zeze	grave0x	kevinaimonster

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