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hunt-cloud-misconfig

combined

Hunt cloud / infrastructure misconfigurations. Hunt cloud / infrastructure misconfigurations. AWS: public S3 buckets (s3:GetObject anonymous), permissive bucket policies (PutObjectAcl public-write), exposed CloudFront origin, public Lambda function URL, public RDS snapshot, IAM credentials in JS bundles, AWS metadata accessible via SSRF. GCP: public GCS buckets, exposed Cloud Run services, leaked service account JSON. Azure: public blob containers, exposed Function App. (Kubernetes/Docker exposure is owned by hunt-k8s; CI/CD pipeline attacks by hunt-cicd; post-credential IAM escalation by cloud-iam-deep.) Detection: targeted dorking, certificate transparency, JS bundle secret extraction, port scan for known service ports. Validate: actual data read / write / RCE. Use when hunting cloud-native storage and compute misconfig (S3/GCS/Blob, IMDS-via-SSRF, serverless, public managed services).

When to use

When not to use

Skill page

Conflict

The two copies share the same core procedure (S3/GCS/Blob listing, Firebase open rules, EC2 metadata via SSRF, exposed admin panels, LocalStack verification, and CloudWatch RUM weaponization), but each contains material steps the other lacks. The uphiago copy adds a detailed RUM attack chain (Cognito get-id/get-credentials-for-identity, STS enumeration, pacu) and a truncated Chain B, plus a more detailed description of detection surfaces. The sickn33 copy adds a mandatory authorization confirmation gate, Jenkins SSO-restriction failure to Script Console RCE, and exposed RabbitMQ/AMQP default-credential probing. Because crowning one would hide the other's unique steps and the sickn33 copy imposes a safety gate the uphiago copy does not, the correct decision is combine.