idor-broken-object-authorization

idor-broken-object-authorization is a skill for Claude Code, Codex from DorianGallo/hack-skills-local. It costs 37 tokens per session (2,817 once invoked), scanned A, a copy of idor-broken-object-authorization, MIT.

A security-testing guide for finding cases where an application lets one user view or change another user's records. It also covers access to actions meant only for higher-privilege users.

In plain words
What is it for?
Testing APIs and web apps for insecure record IDs, tenant-boundary failures, writable fields, and restricted admin actions.
Why use it?
It helps reveal missing checks that protect data and functions between users or organisations. These flaws can remain hidden when testers look only at visible URL fields.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Testing APIs and web apps for insecure record IDs, tenant-boundary failures, writable fields, and restricted admin actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/doriangallo/hack-skills-local/idor-broken-object-authorization
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add DorianGallo/hack-skills-local --skill idor-broken-object-authorization
Clone the repo
git clone --depth 1 https://github.com/DorianGallo/hack-skills-local

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for idor-broken-object-authorization

README.md
[![agentmods](https://agentmods.dev/badge/skills/doriangallo/hack-skills-local/idor-broken-object-authorization/github.svg)](https://agentmods.dev/skills/doriangallo/hack-skills-local/idor-broken-object-authorization)
Your own site
<a href="https://agentmods.dev/skills/doriangallo/hack-skills-local/idor-broken-object-authorization"><img src="https://agentmods.dev/badge/skills/doriangallo/hack-skills-local/idor-broken-object-authorization/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for idor-broken-object-authorization

Your own site · 80×15
<a href="https://agentmods.dev/skills/doriangallo/hack-skills-local/idor-broken-object-authorization"><img src="https://agentmods.dev/badge/skills/doriangallo/hack-skills-local/idor-broken-object-authorization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,817 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.02817
Opus 5 $0.00018 $0.01409
Sonnet 5 $0.00007 $0.00563
Haiku 4.5 $0.00004 $0.00282

Measured 9d ago against content hash 8e9370bf70d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

idor-broken-object-authorization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to idor-broken-object-authorization — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/idor-broken-object-authorization/SKILL.md · 337 lines

How it starts

The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: IDOR / Broken Object Level Authorization — Expert Attack Playbook

AI LOAD INSTRUCTION: IDOR is the #1 bug bounty finding. This skill covers non-obvious IDOR surfaces, all attack vectors (not just URL params), A-B testing methodology, BOLA vs BFLA distinction, chaining IDOR to higher impact, and what testers repeatedly miss.


1. IDOR vs BOLA vs BFLA

Term Meaning Impact
IDOR Insecure Direct Object Reference Read/modify other users' data
BOLA Broken Object Level Authorization (OWASP API Top 10 A1) Same as IDOR, API terminology
BFLA Broken Function Level Authorization Low-priv user accesses HIGH-PRIV functions (e.g., admin endpoints)

Key distinction:

  • BOLA = accessing object you shouldn't own (data belonging to other users)
  • BFLA = accessing function you shouldn't be authorized for (admin CRUD operations, bulk actions, user management)

2. WHERE TO FIND OBJECT IDs (ALL LOCATIONS)

Don't stop at URL path parameters — IDs appear in:

URL path:        GET /api/v1/users/1234/profile
URL query:       GET /orders?order_id=982
Request body:    {"userId": 1234, "action": "view"}
JSON fields:     {"resource": {"id": 5678, "type": "invoice"}}
Headers:         X-User-ID: 1234
                 X-Account-ID: 9999
Cookies:         user_id=1234; account=org_5678
GraphQL args:    query { user(id: "1234") { ... } }
Form fields:     <input name="documentId" value="5678">
WebSocket msgs:  {"event":"subscribe","channel_id":9999}

3. A-B TESTING METHODOLOGY

The most systematic IDOR test approach:

Step 1: Create two test accounts: UserA and UserB
Step 2: Perform all actions as UserA, capture all requests
        (profile edit, order view, password change, file access, etc.)
Step 3: Note every object ID created or accessed by UserA
Step 4: Authenticate as UserB
Step 5: Replay UserA's requests using UserB's session token
Step 6: If UserB can read/modify UserA's data → BOLA confirmed

Victim matters: for real bugs, target existing users, not test accounts.
Report evidence: show UserA owns the resource, UserB accessed it.

Read the full file on GitHub · 337 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 337 lines · 37 tokens per session scan A 8e9370bf70d0

Subscribe to this mod's changes

idor-broken-object-authorization is a skill published in the GitHub repository DorianGallo/hack-skills-local (5 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 2,817 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to idor-broken-object-authorization, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens