# Awarexone/Agentic-Bug-Hunter

AI-powered bug bounty hunting toolkit that works with or without subscription.

Repository: https://github.com/Awarexone/Agentic-Bug-Hunter
Canonical: https://ross.abutalabs.com/products/agentic-bug-hunter
Homepage: https://shuvonsec.com
Language: Python
License: MIT
License Family: permissive
Topics: ai-security, bug-bounty, bugcrowd, claude-ai, ethical-hacking, hackerone, penetration-testing, recon, vulnerability-scanner, claude-code, cti, hacking, hacking-tool
Last push: 2026-08-25T09:31:47+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 86, longevity 12
- inputs: {"age_days": 178, "days_push": 8, "days_rel": 12, "gap_med": 37.0, "n_releases_24m": 5}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4464, forks 798 (observed 2026-08-28T04:08:50.697587+00:00)

## What it is
An AI-powered bug bounty hunting toolkit that automates reconnaissance, vulnerability testing, finding validation, and report generation for platforms like HackerOne and Bugcrowd. It works as a Claude Code plugin or as a standalone Python CLI called 'bughunter' with no subscription required.

## Use cases
- automate recon on bug bounty targets
- find and validate real vulnerabilities with AI
- generate submission-ready HackerOne reports
- run bug bounty hunting from the terminal without a subscription
- remember patterns across targets and resume sessions
- use Claude Code as a security research assistant

## When to choose
- you hunt bug bounties and want to automate recon through reporting
- you want an AI-assisted security workflow that works standalone or inside Claude Code
- you need validated, reportable findings rather than noisy scanner output

## When to avoid
- you need a general-purpose vulnerability scanner for enterprise infrastructure
- you require guaranteed accuracy without human review of AI-generated findings
- you are not authorized to test the target - this is for legal bug bounty use only

## Facets
- artifact type: cli-tool
- maturity: active
- function: penetration-testing, vulnerability-scanning, security, agent-framework, cli, llm-inference
- domain: security, penetration-testing, artificial-intelligence, developer-tools
- platform: python, cli, windows
- tags: bug-bounty, recon, hackerone, bugcrowd, claude-code-plugin, ethical-hacking, vulnerability-discovery, agentic-ai, command-line, linux, macos

## Member repositories
- Awarexone/Agentic-Bug-Hunter (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:50.697587+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:39.666971+00:00, confidence not recorded.
  - readme: https://github.com/Awarexone/Agentic-Bug-Hunter (fetched 2026-08-28T04:08:50.697587+00:00, sha 614a7240ecff)
  - homepage: https://shuvonsec.com (fetched 2026-08-29T09:07:17.938311+00:00, sha 1c60b128b994)
- Data as of 2026-08-30T08:39:29.467469+00:00.