Claude-BugHunter: The AI-Powered Bug Bounty Arsenal That Turns Claude Code Into A Senior Security Researcher + Video

Introduction:

The cybersecurity industry is witnessing a paradigm shift as AI-powered agents transition from passive chatbots to active, decision-making security researchers. Claude-BugHunter, an open-source skill bundle for Claude Code, represents this evolution—transforming the AI assistant into a senior bug-hunting researcher equipped with 82 specialized skills and 15 slash commands curated from over 681 disclosed HackerOne reports. Built by Sachin Sharma (ElementalSoul), this bundle codifies real-world exploitation patterns, bypass techniques, and enterprise attack chains into a deterministic framework that any bug bounty hunter or red-team operator can deploy immediately.

Learning Objectives:

Master the installation and configuration of Claude-BugHunter across plugin-based and copy-based deployment models
Execute automated reconnaissance, vulnerability hunting, and report validation workflows using slash commands and the `cbh` CLI
Understand how to leverage 24 vulnerability-class-specific skills, including XSS, SQLi, SSRF, IDOR, OAuth, and GraphQL attack chains
Apply enterprise-platform attack matrices covering M365/Entra, Okta, vCenter, and VPN appliances
Implement the 7-Question Gate triage framework for validating findings before submission

You Should Know:

Understanding the Architecture: Four Layers of Offensive AI

Claude-BugHunter is not a simple prompt collection—it is a layered knowledge system designed to mirror the workflow of a seasoned security professional. The bundle operates across four distinct layers:

Think Layer: The `bb-methodology` and `redteam-mindset` skills establish a 5-phase non-linear workflow, critical-thinking frameworks, and red-team operator discipline. This layer ensures the AI doesn’t just execute commands but thinks like an adversary.
Hunt Webapps Layer: Forty-eight `hunt-` skills curated from 681 disclosed HackerOne reports deliver per-class detection patterns, payloads, bypass tables, and chain templates. These cover 24 core vulnerability classes including XSS (174 reports), RCE (67), IDOR (26), SSRF (9), and SQLi (8).
Hit the Perimeter Layer: Enterprise platform attack chains target M365/Entra, Okta, vCenter, SSL-VPN appliances, SharePoint, and cloud IAM with current 2024–2026 CVE chains and post-credential escalation techniques.
Ship It Layer: The `triage-validation` skill plus the 7-Question Gate, VRT-aware severity assessment, OOS rebuttals, PII redaction, and red-team deliverable templates ensure findings are professionally packaged.

Installation & Setup Guide

The bundle supports two primary installation paths. Choose based on your workflow preferences:

Option A — Plugin Installation (Recommended):

From inside Claude Code, execute:

/plugin marketplace add elementalsouls/Claude-BugHunter
/plugin install claude-bughunter@elementalsouls

All 71 skills and 15 commands load namespaced under `claude-bughunter:` and update when you bump the plugin version—no files copied into ~/.claude/.

Option B — Copy Installation (No Plugin System):

mkdir -p ~/security-research
cd ~/security-research
git clone https://github.com/elementalsouls/Claude-BugHunter.git
cd Claude-BugHunter
chmod +x scripts/install.sh
./scripts/install.sh

This copies all skills into ~/.claude/skills/, all slash commands into ~/.claude/commands/, and the `hunt` shell command into ~/.claude/scripts/hunt.sh.

Optional: Install the `cbh` CLI Standalone

The terminal-1ative deterministic runner installs independently:

pipx install git+https://github.com/elementalsouls/Claude-BugHunter

This provides a global `cbh` command backed by a bundled skill index, ideal for CI/CD automation, scheduled recon, and reproducible lab verification.

2. The Slash Commands: Your Bug-Hunting Control Panel

The bundle provides 15 slash commands that serve as the primary interface inside Claude Code conversations. Key commands include:

– `/recon target.com` — Maps the attack surface through OSINT and subdomain enumeration
– `/hunt target.com` — Tests for vulnerabilities across all 24 vulnerability classes
– `/validate` — Runs the 7-Question Gate triage framework on findings
– `/triage` — Applies deterministic keyword matching against the gate criteria
– `/report` — Generates VRT-aware severity assessments with evidence hygiene
– `/chain` — Builds exploitation chains across multiple primitives
– `/autopilot` — Orchestrates multi-phase hunts
– `/scope` — Manages engagement scope and OOS boundaries

Step-by-Step Hunting Workflow:

Start a Claude Code session in your engagement directory
Set scope: `/scope` and define your target parameters
Recon: `/recon target.com` — subfinder, crt.sh, and DNS enumeration run automatically
Hunt: `/hunt target.com` — the AI selects relevant skills based on discovered attack surface
Validate: `/validate` — run the 7-Question Gate on each finding
Report: `/report` — generate a structured, VRT-aware deliverable
The `cbh` CLI: Deterministic Automation Outside Claude Code

While slash commands are primary for conversational hunting, the `cbh` CLI serves a different purpose: deterministic, scriptable execution outside the LLM environment.

When to use `cbh`:

| Use Case | Why `cbh` |

|-|–|

Operating Modes:

Curl-only (default) — stdlib HTTP, works on any laptop with Python 3.9+
Burp integration — `–burp` flag routes everything through Burp’s proxy (127.0.0.1:8080). Requests land in Proxy → HTTP history; send any to Repeater/Intruder/Scanner/Collaborator

Basic `cbh` Commands:

 Run reconnaissance
cbh recon target.com

Hunt a specific target
cbh hunt target.com

Run triage validation on findings
cbh triage findings.json

Route through Burp proxy
cbh --burp recon target.com

4. The 7-Question Gate: Triage Before Submission

One of the bundle’s most critical features is the 7-Question Gate—a validation framework that prevents false positives from reaching triagers. This gate asks:

Is this in scope? — Verifies against the engagement scope definition
Is this a duplicate? — Checks against known issues

3. Is the impact real? — Validates exploitability

Can this be chained? — Identifies potential for escalation
Is the evidence sufficient? — Ensures proper documentation
Is the severity accurate? — Maps to VRT standards

7. Is PII redacted? — Sanitizes sensitive data

The gate can be invoked manually via `/validate` or integrated into automated workflows via cbh triage.

5. Enterprise Attack Matrices: Beyond Web Application Vulnerabilities

What distinguishes Claude-BugHunter from generic bug-bounty tools is its enterprise-platform layer. The bundle codifies attack chains for:

M365/Entra ID — Post-credential escalation, tenant-wide privilege abuse
Okta — SAML misconfigurations, MFA bypass, API token abuse
vCenter — VMware vCenter CVE chains (2024–2026)
SSL-VPN appliances — Cisco, Pulse Secure, and Fortinet exploitation
SharePoint — On-premises SharePoint farm attacks
Cloud IAM — AWS keys, JWTs, GCP JSON credential escalation

Example: Post-Credential Escalation Workflow

When reconnaissance yields credentials (AWS keys, JWTs, GCP JSON), the `cloud-iam-deep` skill determines what they grant and how to escalate. This transforms a simple credential leak into a full privilege escalation path.

6. Burp Suite Integration: The MCP Bridge

For hunters who prefer GUI-assisted workflows, Claude-BugHunter integrates with Burp Suite via the MCP Server:

Setup:

In Burp Suite: Extensions → BApp Store → search for “MCP Server” → Install
Confirm Output tab shows: `Started MCP server on 127.0.0.1:9876`

3. In terminal:

claude mcp add burp -s user -- java -jar ~/.BurpSuite/mcp-proxy/mcp-proxy-all.jar

4. Verify in a fresh Claude session: `/mcp` — you should see `burp · ✓ connected`

With Burp MCP active, the AI can interact conversationally with Burp’s attack surface—sending requests to Repeater, running Intruder payloads, and leveraging Scanner findings.

What Undercode Say:

Key Takeaway 1: Claude-BugHunter is not an autonomous hacking robot—it’s a decision-support engine that augments human judgment with codified expertise from 681 real HackerOne reports. The hunter who wires AI into their workflow moves 10x faster than those still relying on 2020 scripts.
Key Takeaway 2: The bundle’s true value lies in its enterprise attack matrices and post-credential escalation paths—areas where traditional bug-bounty tooling falls short. External red-team engagements against monitored enterprise targets require platform-specific tradecraft that this bundle delivers out of the box.

Analysis: In 2026, the gap between AI-assisted and traditional bug hunters is widening exponentially. Claude-BugHunter bridges this gap by codifying not just vulnerability patterns but the decision-making processes of senior researchers. The 7-Question Gate alone prevents countless false-positive submissions, saving both hunters’ time and triagers’ sanity. However, hunters must remember that the bundle is a knowledge accelerator—not a replacement for critical thinking. The most effective users will treat it as a senior colleague who provides context, chains, and methodology, while applying their own judgment to scope, impact, and exploitation creativity.

Prediction:

+1 AI-powered bug-hunting bundles like Claude-BugHunter will become the industry standard within 12–18 months, with major bug bounty platforms integrating similar capabilities directly into their submission pipelines.
+1 The democratization of enterprise-grade attack knowledge will lower the barrier to entry for new hunters while simultaneously raising the quality bar for submissions—benefiting both hunters and platforms.
-1 As AI-assisted hunting becomes widespread, vulnerability discovery will commoditize faster, potentially reducing bounty payouts for common classes while increasing rewards for novel, complex chains that AI cannot yet conceptualize.
+1 The open-source nature of Claude-BugHunter (MIT-licensed) ensures continuous community improvement, with the 82-skill arsenal expanding as new disclosed reports emerge.
-1 Hunters who rely exclusively on AI without maintaining foundational security knowledge risk becoming “script kiddies with LLMs”—unable to recognize when the AI misses context or generates false positives.
+1 Enterprise red-team engagements will increasingly require AI-augmented workflows, making bundles like Claude-BugHunter a mandatory tool for professional penetration testers.

▶️ Related Video (78% Match):

https://www.youtube.com/watch?v=-T8UxpQkTj0

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