hunt-dispatch
hunt-dispatch is a skill-set loader that routes the /hunt orchestrator to appropriate Red Team or Web Application Penetration Testing (WAPT) attack modules. It fingerprints target hosts by analyzing HTTP headers, redirects, and HTML body markers to identify platform signals (Okta, Microsoft Entra, VMware, cloud providers, etc.), then loads the corresponding specialized skill set and prints the exploitation taxonomy. Use it when /hunt receives a mode parameter (redteam or wapt with blackbox/greybox designation) and needs to auto-select and initialize the correct attack capabilities based on detected infrastructure.
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter /tmp/hunt-dispatch && cp -r /tmp/hunt-dispatch/skills/hunt-dispatch ~/.claude/skills/hunt-dispatchSKILL.md
# hunt-dispatch
skill-set loader for `/hunt`. one concept (which skills to load), one place.
## engagement context
every skill loaded below operates under one frame, and it holds for the whole session:
- **authorized and scope-bounded.** the operator asserted written authorization for the named scope
when they invoked `/hunt`. testing stays inside it. an out-of-scope host ends the run — it does not
widen it.
- **the output is a finding, not an exploit.** the deliverable is a reproducible proof that a defect
exists, written so the owner can remediate it. enough to demonstrate impact; no further.
- **remediation is the point.** these skills exist so defects get fixed by the people who own them.
this frame is stated here because it is the choke point every `/hunt` run passes through before any
`hunt-*` skill loads. it is not a prompt and needs no answer.
invocation contract:
```
hunt-dispatch mode=redteam
hunt-dispatch mode=wapt box=blackbox
hunt-dispatch mode=wapt box=greybox
```
## step 0 — 404 baseline (ALL modes, mandatory, before any enumeration)
run this for **every** host before probing a single path. it takes one request per
host and it is the cheapest false-positive kill in the whole toolkit.
many modern estates (SPA / Next.js / React front ends behind a CDN) return
**HTTP 200 with the application shell for paths that do not exist**. a status code
therefore proves nothing. without a recorded control, `/.well-known/security.txt`,
`/api/revalidate`, `/__nextjs_original-stack-frame` and `/__nextjs_launch-editor`
all "exist" on a host where none of them do.
```bash
for H in $HOSTS; do
# two independent bogus paths — if they agree, that IS the soft-404 signature
for P in /zzz-nope-12345 /qqq-other-98765; do
printf "%-34s %-20s " "$H" "$P"
curl -sk -m 12 -o /tmp/b -w "%{http_code} %{size_download} " "https://$H$P"
shasum /tmp/b | cut -c1-12
done
done
```
record per host: **status, byte length, body hash**. that triple is the control.
**the rule: no path is "found" until its response differs from the control.**
a 200 that matches the control hash is a soft 404. a 404 whose body differs from
the control may be a real handler. compare bodies, never status codes alone.
re-derive the baseline per host — it differs across an estate. one engagement saw
two hosts serving the *same* application return soft-404 bodies of wildly different
size, so a control taken from one host would have been meaningless on the other.
also re-derive it **per path depth** where a framework renders different fallbacks
for `/x` and `/a/b/x`.
edge pages are not origin findings: a CDN "Access Denied" / "Unsupported Request"
body means the request never reached the application. classify it as edge
behaviour and move on.
## step 1 — fingerprint (red team only)
fingerprint **every** live host, not just the apex. for multi-host / wildcard
targets the platform-skill routing must be driven by all banners, not one host's.
use `-L` (follow redirects) — identity-provider and CDN signals
(`login.microsoftonline.com`, `okta`, `auth0`, CDN banners) routinely sit
behind a 30x, so a no-redirect `curl -sI` silently misses those matches. pull
both headers and the landing-page HTML (`__NEXT_DATA__`, `VIEWSTATE`,
`laravel_session`, `Ignition`, framework markers live in the body, not headers).
```bash
HOSTS="$TARGET"
if [ -f "recon/$TARGET/live-hosts.txt" ]; then
HOSTS=$(cat "recon/$TARGET/live-hosts.txt")
fi
for H in $HOSTS; do
echo "=== $H ==="
# -L follow redirects, -D - dump headers, -o body; cap body to keep context small
curl -sSL -m 12 -D - -o /tmp/fp_body "https://$H" 2>/dev/null | tr -d '\r'
# surface body-only platform markers
grep -aoE '__NEXT_DATA__|/_next/|VIEWSTATE|rO0[AB]|laravel_session|Ignition|Telescope|Whitelabel|/actuator|application/grpc|socket\.io|swagger|\.js\.map' \
/tmp/fp_body | sort -u
done
rm -f /tmp/fp_body
```
if `live-hosts.txt` is absent, the loop still runs once against `$TARGET`. record
which signal came from which host — a platform skill matched on host B does not
imply host A runs that stack.
look for the following signals → platform skill mapping:
```
okta.com | auth0.com | pingidentity → okta-attack
login.microsoftonline.com | outlook | sts → m365-entra-attack
pulse | fortinet | ivanti | citrix → enterprise-vpn-attack
vsphere | vcenter | :9443 → vmware-vcenter-attack
amazonaws | azure | googleapis | gcp → cloud-iam-deep
github.com/<org>/ → supply-chain-attack-recon
.apk | play.google.com → apk-redteam-pipeline
MongoDB | mongoose | CouchDB | Redis → hunt-nosqli
?page= | ?file= | ?path= | php wrapper → hunt-lfi
rO0A | VIEWSTATE | rememberMe cookie → hunt-deserialization
Access-Control-Allow-Origin header → hunt-cors
/forgot-password | /reset | X-Forwarded → hunt-host-header
?redirect= | ?next= | ?return= | ?url= → hunt-open-redirect
OTP | /verify | /2fa | no-rate-limit → hunt-brute-force
Set-Cookie session | PHPSESSID → hunt-session
Active Directory | LDAP | OpenLDAP | ADFS → hunt-ldap
__NEXT_DATA__ | /_next/ | buildId → hunt-nextjs
X-Powered-By: Express | Node.js | .js stack → hunt-nodejs
postMessage | dangerouslySetInnerHTML → hunt-dom
WebSocket | ws:// | socket.io → hunt-websocket
gRPC | :50051 | application/grpc → hunt-grpc
laravel_session | Ignition | Telescope → hunt-laravel
X-Application-Context | Whitelabel | /actuator → hunt-springboot
:6443 | :10250 | :2379 | kubectl → hunt-k8s
.github/workflows | Jenkins | GitLab CI → hunt-cicd
.js.map | swagger.json | /.env → hunt-source-leak
HSTS missing | SPF | DMARC | AXFR → hunt-tls-network
```
### conflict resolution & load budget
real targets almost always return multiple signals at once — e.g. a single host
can show Cloudflare (CDN)End-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.