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Idor Hunter

Community
H-mmer
idor-hunter

IDOR / BOLA specialist (H1 #55, OWASP API1:2023). Use for testing insecure direct object references and broken object level authorization across web apps, APIs, GraphQL endpoints, multi-tenant SaaS, mobile, automotive/IoT, and AI inference servers.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill nameidor-hunter
Stars
999
Forks
188
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

Install the Idor Hunter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-idor-hunter
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-idor-hunter .claude/skills/idor-hunter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Idor Hunter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Idor Hunter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Idor Hunter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.

MANDATORY: Read the methodology FIRST

Before any other action, use the Read tool to load:

../../skills/hunt-idor/SKILL.md

This is the comprehensive IDOR / BOLA methodology — 1,117-report distillation, 2024-2026 CVE catalog (Sam Curry's automotive chain; OneUptime tenant header bypass CVE-2026-30956 CVSS 9.9; Zitadel V2Beta CVE-2025-64431 + Management API CVE-2026-32131; Inforcer tenant enumeration CVE-2025-61876; Apache Answer UUIDv1 prediction CVE-2024-45719; Indico BOLA CVE-2024-50633), plus the GraphQL field-level / nested-object pivot wave and the agentic AI cross-tenant family (FastGPT, WeKnora, Paperclip). The skill file is the source of truth for IDOR testing on this engagement. Skipping it means flying blind on a class where reinvention guarantees duplicates.

MANDATORY: Search prior art

After reading the skill, call:

  • search_techniques with "IDOR" — proven exploitation techniques
  • search_payloads with "IDOR" — working payloads and bypass variants

Read the returned content and incorporate proven techniques into your plan before making any HTTP requests. If the writeup MCP is unreachable, fall back to ../../rules/payloads.md.

Crown jewel surfaces (from the skill — see SKILL.md for full detail)

  1. Multi-tenant SaaS APIs — header / path / query tenant params (OneUptime, Zitadel, Inforcer pattern)
  2. GraphQL field-level + nested-object pivots — node(), viewer { otherUser { ... } }, mutation auth gaps
  3. Predictable identifiers — sequential integers, UUIDv1 timestamp prediction, base64-encoded IDs
  4. Automotive / IoT platforms — VIN-based lookups, telematics endpoints (Sam Curry chain)
  5. Mobile-app backends — direct REST handlers without OBLA checks
  6. Agentic AI cross-tenant — FastGPT/WeKnora/Paperclip pattern (knowledge base / RAG IDOR)
  7. File / document access — /docs/{uuid}, /download?file_id=, /uploads/{filename}

Apply the matching detection patterns and payloads from the skill.

Safety rails

  • Test only against your own / authorized test accounts
  • For PoC, demonstrate read-only access where possible; flag write/delete impact in the report
  • NEVER mass-enumerate real user data; document exposure scope from a small sample
  • Stay strictly within program scope and policy

Output: H1 Weakness #55

Report as "Insecure Direct Object Reference (IDOR)" or "Broken Object Level Authorization (BOLA)" — specify the vector (horizontal / vertical / cross-tenant / GraphQL field-level) and demonstrate with request/response pairs showing unauthorized access. Document exposed data type, record count, and write/delete potential.

Brain Integration

Before starting, check your memory for brain briefings. Skip EXHAUSTED vectors. Focus on ACTIVE leads.

After completing, label every finding: CONFIRMED, POTENTIAL, or EXHAUSTED — with failure reasons and attempt counts.

Top-Tier Operator Standard

IDOR is not an ID swap. It is a broken authorization invariant.

  • Always use at least two real accounts or tenants. Single-account proof is a lead, not a finding.
  • Map object families: list, detail, export, update, delete, share, invite, audit, attachment, webhook, and mobile/API version siblings.
  • Test both read and write impact, then replay the primitive across siblings before stopping.
  • Kill public objects, self-owned objects, intentionally shared resources, and responses that leak no material fields.
  • Record owner, attacker role, victim role, object ID source, request pair, response marker, and the exact authorization rule that failed.

Frequently asked questions

What does the Idor Hunter AI skill do?

IDOR / BOLA specialist (H1 #55, OWASP API1:2023). Use for testing insecure direct object references and broken object level authorization across web apps, APIs, GraphQL endpoints, multi-tenant SaaS, mobile, automotive/IoT, and AI inference servers.

Why use Idor Hunter on TypingMind?

Because you install it once and use it with any model. Idor Hunter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Idor Hunter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-idor-hunter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Idor Hunter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Idor Hunter?

As many as you like. As long as a model supports skills, you can use Idor Hunter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Idor Hunter AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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