hunt-session
hunt-session is a Claude Code skill that audits session management vulnerabilities including session fixation without ID regeneration on login, missing invalidation on logout or password changes, predictable session IDs, JWT tokens lacking expiration or revocation mechanisms, refresh-token rotation gaps, and cookie attribute weaknesses like missing HttpOnly or SameSite flags. Use it when testing authentication systems for persistent account takeover risks by validating attack chains with dual sessions and out-of-band confirmation.
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter /tmp/hunt-session && cp -r /tmp/hunt-session/skills/hunt-session ~/.claude/skills/hunt-sessionSKILL.md
## Autonomous Testing Priority
**Missing HttpOnly on cookies is auto-detected — focus your active testing on lifecycle invalidation (higher impact).**
**Pattern 1 — Session survives logout (most common high-value finding):**
1. Login and note the session token/cookie value
2. Call the logout endpoint (`/logout`, `POST /api/logout`, etc.)
3. Try to use the OLD session token to access a protected resource (`/api/me`, `/dashboard`, `/account`)
4. If 200 with user data → session not invalidated on logout = ATO persistence
**Pattern 2 — Session not regenerated on login (session fixation):**
1. GET any page to receive a pre-authentication session token/cookie
2. POST valid credentials to the login endpoint
3. Compare the session token BEFORE and AFTER login
4. If the token is unchanged → session fixation vulnerability
**Pattern 3 — Session survives password change:**
1. Login → record session A value
2. Change the password via the account settings endpoint
3. Replay session A on a protected endpoint
4. If 200 → token not rotated on credential change = persistent ATO (critical chain when combined with XSS/cookie theft)
**Content-type:** Login and session endpoints vary — use `application/json` for REST APIs, `application/x-www-form-urlencoded` for traditional web forms. Try both if the first returns an unexpected response.
**Proof:** A protected-resource 200 response (with user data) using a session token that should have been invalidated confirms the finding.
---
# HUNT-SESSION — Session Management
## Crown Jewel Targets
Session fixation leading to admin hijack = Critical. Session surviving a password change = High-to-Critical (persistent ATO from a stolen cookie that the victim believes they revoked by resetting their password).
**Highest-value chains:**
- **Session fixation** — server accepts a session ID set by the client and does NOT regenerate it on login → attacker pre-plants an ID, victim authenticates, attacker rides the now-authenticated session → persistent ATO.
- **No invalidation on logout** — old token still works after `/logout` → theft window never closes.
- **No invalidation on password / email change** — a stolen session survives the victim's "I think I was hacked, let me reset" → persistent ATO. This is the single highest-paid session bug class.
- **Refresh-token reuse without rotation-detection** — a leaked refresh token mints fresh access tokens forever; no reuse-detection means the legitimate user's later refresh does NOT revoke the attacker's branch.
- **Predictable / low-entropy session ID** — sequential, timestamp- or userId-derived IDs → brute-force or compute other users' sessions.
- **JWT-as-session with no `exp` / no revocation list** — stolen JWT = permanent access; logout is cosmetic.
---
## Grounding — patterns that shaped each phase
No invented CVE/report IDs below. These are the *named, publicly-documented* patterns this skill encodes:
- **Session fixation, login-CSRF, no-regeneration-on-auth** — OWASP WSTG-SESS-03 / WSTG-SESS-01; the classic ACROS / Mitja Kolšek session-fixation paper. Highest-impact variant: fixing the session of an SSO/admin user.
- **SameSite=Lax sibling-subdomain CSRF reaching session state** — Argo CD **CVE-2024-22424** (Lax cookies sent on top-level cross-site navigations from a sibling subdomain). Use this when a session cookie relies on `SameSite=Lax` as its only CSRF defence.
- **Refresh-token rotation & automatic reuse-detection** — the Auth0/IETF OAuth-Security-BCP model: a rotated refresh token, if replayed, must invalidate the *entire token family*. Absence = the core bug to prove.
- **Device Bound Session Credentials (DBSC)** — the W3C/Chrome DBSC draft binds a session to a TPM/device key. Test the *downgrade*: does the server still accept a non-bound cookie when the DBSC challenge is stripped?
- **Cookie attribute hardening** — OWASP WSTG-SESS-02; `__Host-`/`__Secure-` prefixes per RFC 6265bis. Missing `HttpOnly` is only a finding when a real XSS/DOM sink exists (chain with `hunt-xss`/`hunt-dom`).
- **Entropy** — NIST SP 800-63B requires ≥64 bits of entropy in a session identifier. Treat anything decodable to a counter/timestamp/userId as a finding regardless of length.
Cross-refs: ATO chaining → `hunt-ato`; JWT alg/kid tampering → `hunt-api-misconfig`; OAuth code/state flaws → `hunt-oauth`; CSRF mechanics → `hunt-csrf`; cookie-theft sinks → `hunt-xss` / `hunt-dom`.
---
## Attack Surface Signals
```
Set-Cookie: session=... # name varies: sid, JSESSIONID, connect.sid,
# PHPSESSID, ASP.NET_SessionId, laravel_session, _csrf
/login /logout /api/login /oauth/token
/auth/refresh /api/token/refresh # refresh-token rotation surface
/account/change-password /settings/email
?sid= ?session= in URL # session-in-URL → leaks via Referer/logs (finding)
```
```
# Header signals worth flagging immediately:
Set-Cookie: session=abc; Path=/ # no HttpOnly/Secure/SameSite
Set-Cookie: session=abc; SameSite=None # None without Secure = rejected by modern browsers, but flag
Set-Cookie: __Host-sess=...; Secure; Path=/ # GOOD — hard to fixate
Sec-Session-Registration: ... # DBSC in play → test downgrade
```
---
## Step-by-Step Hunting Methodology
> **Two-session rule.** Every invalidation/fixation claim is proven with TWO concrete sessions captured by a real flow — attacker **A** and victim **B** — never with hardcoded placeholder strings. Helpers below capture real cookies from `curl`'s Netscape jar.
```bash
TARGET=target.com
JAR_A=$(mktemp); JAR_B=$(mktemp)
# Robust session-cookie extractor: handles #HttpOnly_ prefix lines and any
# cookie name (sid/JSESSIONID/connect.sid/PHPSESSID/...). Prints name=value.
get_cookie () { # $1=jar $2=name-regex (default: common session names)
local jar="$1" re="${2:-session|sid|sess|JSESSIONID|connect\.sid|PHPSESSID|laravel_session}"
awk -v re="$re" '
/^#HttpOnly_/ { sub(/^#HttpOnEnd-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.