MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

hunt-ssrf

hunt-ssrf is an code AI skill with a core value of Hunting skill for ssrf vulnerabilities. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Hunting skill for ssrf vulnerabilities.

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-ssrf && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/hunt-ssrf/SKILL.md -o ./skills/hunt-ssrf/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.


Crown Jewel Targets


SSRF is highest-value when the target runs on cloud infrastructure (AWS, GCP, Azure) where metadata services expose credentials, or when the server sits inside a complex internal network (Kubernetes clusters, microservice meshes, internal APIs). Priority targets:


- **Cloud-hosted SaaS products** (GCP metadata at `169.254.169.254` or `metadata.google.internal`, AWS IMDSv1)

- **Kubernetes/orchestration platforms** — aggregated API servers, metrics-server, kubelet endpoints expose privileged cluster operations

- **Internal developer tooling** — CI/CD, workflow orchestration (Flyte, Argo), admin panels not exposed externally

- **Link preview / URL fetching features** — Reddit-style preview APIs, Slack-style unfurling, media processors

- **Dataset/file import pipelines** — anything that fetches remote URLs on behalf of a user

- **Enterprise self-hosted software** (GitHub Enterprise, GitLab) — SSRF frequently chains to RCE via internal services


Payouts are highest when SSRF reaches: cloud credentials → account takeover, internal admin APIs → data exfil, or chains to RCE.


---


OOB-Or-It-Didn't-Happen Gate (Read First)


**Claims of blind SSRF require an out-of-band (OOB) confirmation. Always. No exceptions.**


OOB means: a Burp Collaborator domain, an `interactsh-client` listener, a canarytoken, or any DNS+HTTP receiver you control that confirms the server actually made an outbound network connection on your behalf.


What is NOT confirmation of SSRF


- The server **echoing your URL back in an error message**. Example: `"The Web application at http://evil.example.com/x could not be found"` — this is the server formatting your input into an error string, NOT making an outbound HTTP request. The error came from string formatting, not from network failure.

- The server returning a different status code for an external URL vs `localhost`. Different error responses can come from URL-scheme validators, not from actual fetching.

- A delayed response when the URL is sent. Delay can come from DNS resolution attempts within the parser, not from completed HTTP fetches.


What IS confirmation of SSRF


- A DNS lookup for your unique Collaborator subdomain appears in the OOB listener.

- An HTTP request to your Collaborator HTTP endpoint with the server's source IP and User-Agent.

- For SSRF in JavaScript-execution contexts (PDF renderers, headless browsers), a fetch from the server to your callback URL.


Default workflow


1. **Plant the Collaborator payload first.** Sub-tagging (`dlsrcurl.<collab>`,

`import.<collab>`) only works if your listener actually reports the queried

subdomain back to you — **verify that before relying on it.** Burp's

`get_collaborator_interactions` keys results by **payload ID, not by subdomain**,

so several sub-tags generated from one payload are indistinguishable in the

output. When that is the case, **generate a fresh payload per candidate

parameter** and send exactly one request per payload.

2. **Send the request** to the target endpoint.

3. **Wait 30–120 seconds**, then poll the OOB listener.

4. **Only after a confirmed c

🎯 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-ssrf 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-ssrf 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-ssrf?

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

How do I install hunt-ssrf?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/hunt-ssrf/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.

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