Individual skill
hunt-cloud-misconfig
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).
knowledge/Claude-BugHunter/skills/hunt-cloud-misconfig/SKILL.md
Source commit 961a0dd3d2d2f66a07a416ade3b1d4473b64802e
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- Last checked
- Nov 4, 2026
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- Nov 5, 2026
- License
- Apache-2.0
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- ai-agent Repository topic
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- cybersecurity Repository topic
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## 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
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