Agentic Bug Hunter is a terminal toolkit that uses AI to investigate security targets, test for vulnerabilities, validate findings, and write bug bounty reports. It is for ethical hackers submitting findings to platforms such as HackerOne, Bugcrowd, Intigriti, or Immunefi, and can resume previous sessions. The catalogue entries package commands, skills, agents, instructions, hooks, and settings for using the toolkit.
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.
git clone --depth 1 https://github.com/Awarexone/Agentic-Bug-HunterWrote 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.
[](https://agentmods.dev/commands/awarexone/agentic-bug-hunter/cors)<a href="https://agentmods.dev/commands/awarexone/agentic-bug-hunter/cors"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/cors/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.
<a href="https://agentmods.dev/commands/awarexone/agentic-bug-hunter/cors"><img src="https://agentmods.dev/badge/commands/awarexone/agentic-bug-hunter/cors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00527 |
| Opus 5.5 | $0.00000 | $0.00211 |
| Sonnet 5.5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00053 |
Grade A, and why
cors scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`ACAO: <attacker>` + `ACAC: true` means `fetch(url, {credentials:'include'})` What it actually says
/cors
Find CORS misconfigurations that let an attacker page read authenticated
responses cross-origin. Sends a battery of crafted Origin headers and inspects
the Access-Control-Allow-Origin / Access-Control-Allow-Credentials reply.
Usage
/cors https://api.target.com/me
/cors https://api.target.com/me --cookie "session=abcd1234"
/cors -l recon/target.com/urls/api-endpoints.txt --json
Run directly:
tools/cors_scanner.py https://api.target.com/me --cookie "session=..."
What it tests
| Origin sent | Detects |
|---|---|
https://evil.example |
arbitrary-origin reflection |
null |
sandboxed-iframe / data: URI trust |
https://api.target.com.evil.example |
weak endsWith (suffix) regex |
https://notapi.target.com |
weak startsWith (prefix) regex |
https://attacker.api.target.com |
blanket subdomain trust (chains w/ takeover) |
http://api.target.com |
https→http scheme downgrade |
Severity
- CRITICAL — reflects attacker origin with
ACAC: true(cookie-auth cross-origin read). - HIGH —
nullorigin trusted with credentials. - MEDIUM — reflects attacker origin without credentials (exploitable when auth is a non-cookie token), or trusts http downgrade.
- INFO —
ACAO: *with no credentials (usually intended public CORS).
Why a credentialed reflection is the win
ACAO: <attacker> + ACAC: true means fetch(url, {credentials:'include'})
from an attacker page returns the victim's authenticated response body — full
account-data exfil. Pass --cookie with a live session to confirm the credentialed path.
Chain
CORS data-read → harvest CSRF token / PII / API keys from the response → escalate to ATO. A subdomain-trust CORS bug + a subdomain takeover on that subdomain = a clean credentialed-read exploit.
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.
- 1mo ago First seen · 54 lines · 0 tokens per session scan A ea693fb0c65c
cors is a command published in the GitHub repository Awarexone/Agentic-Bug-Hunter (5,422 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 527 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
recon
Run full recon pipeline on a target — subdomain enum (Chaos API + subfinder), live host discovery (dnsx + httpx), URL crawl (katana + waybackurls + gau), gf pattern classification, nuclei scan. Outputs to recon/ / directory. Usage: /recon target.com.
autopilot
Run autonomous hunt loop on a target — scope check → recon → rank surface → hunt → validate → report with configurable checkpoints. Usage: /autopilot target.com [--paranoid|--normal|--yolo].
hunt
Active vulnerability hunting. Two-track dispatcher — asks Red Team vs WAPT, hands off to hunt-dispatch skill and sibling commands. Usage: /hunt target.com | /hunt .target.com | /hunt targets.txt [--vuln-class X] [--source-code P] [--chrome].
token-scan
Meme coin and token security scan — checks for rug pull vectors (hidden mint, honeypot, fee manipulation, LP lock bypass, authority retention, bonding curve exploits, fake renounce, sandwich amplification). Manual 8-class grep audit (with an optional automated scanner if present). Usage: /token-scan [--chain solana].
triage
Quick 7-Question Gate triage on a finding before writing a report. Kills N/A submissions before they happen. Faster than /validate — for quick go/no-go decisions. Usage: /triage.
validate
Validate a finding — runs 7-Question Gate + 4-gate checklist. Kills weak findings before report writing. Prevents N/A submissions that hurt validity ratio. Usage: /validate.