/hunt-ssrf
Hunting skill for ssrf vulnerabilities. Built from 15 public bug bounty reports including AWS metadata SSRF (HackerOne $25k Analytics PDF, Shopify Exchange $25k, Capital One 106M-record breach, Dropbox/HelloSign $4,913), GCP metadata SSRF (Snapchat $4k), Azure IMDS SSRF (Azure
$ npx -y skills add elementalsouls/Claude-BugHunter --skill hunt-ssrf --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/hunt-ssrf
Context preview
The summary Claude sees to decide when to auto-load this skill.
Hunting skill for ssrf vulnerabilities. Built from 15 public bug bounty reports including AWS metadata SSRF (HackerOne $25k Analytics PDF, Shopify Exchange $25k, Capital One 106M-record breach, Dropbox/HelloSign $4,913), GCP metadata SSRF (Snapchat $4k), Azure IMDS SSRF (Azure
SKILL.md
hunt-ssrf.SKILL.mdname: hunt-ssrf
description: Hunting skill for ssrf vulnerabilities. Built from 15 public bug bounty reports including AWS metadata SSRF (HackerOne $25k Analytics PDF, Shopify Exchange $25k, Capital One 106M-record breach, Dropbox/HelloSign $4,913), GCP metadata SSRF (Snapchat $4k), Azure IMDS SSRF (Azure DevOps $15k chain, ChatGPT Custom Actions MSRC), DNS rebinding SSRF (Concrete CMS, GitLab UrlBlocker), gopher-protocol-to-Redis-RCE (Yahoo Mail $15k), link-preview SSRF (Reddit Matrix $6k), and headless-browser PDF-generator SSRF chains. Use when hunting SSRF on any target — OOB Collaborator confirmation mandatory for blind cases.
sources: github, hackerone_public, portswigger_research, binarysecurity_research
report_count: 15
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 callback** do you claim SSRF. 5. If zero callbacks across all sub-tagged sinks: SSRF claims must be retracted, even if error messages echo URLs.
**Lesson from a authorized engagement:** SharePoint's `/_layouts/15/download.aspx?SourceUrl=` returned 500 with the title `"The Web application at <attacker-URL> could not be found"`. Initial scan flagged this as SSRF (server clearly processed the URL). 38 Collaborator-tagged payloads across 12+ URL-accepting parameters yielded **zero DNS or HTTP interactions**. The "echo" was client-side error-string formatting; the server never made an outbound HTTP request. The path is actually an SP-internal `SPFile`/`SPWebApplication` resolver, not a generic URL fetcher. Reporting this as SSRF would have been N/A'd at triage.
Attribute the callback to ONE parameter before reporting
A callback proves the server made a request. It does **not** tell you which parameter caused it, and the fix depends entirely on that.
BAD — four candidate fields, one payload, fired in one batch
-> callbacks arrive, attribution impossible, retest required
GOOD — fresh payload per field, one request each, poll between
url -> callbacks <- this is the sink
apiUrl -> none
endpoint -> none
target -> none**Run the negative control.** A parameter that produces *no* callback is evidence, and it belongs in the report — it is what lets the client fix the right field instead of allowlisting the wrong one.
**Lesson from an authorized engagement.** A server-side request-forwarding endpoint accepted both `url` and `apiUrl`. The application's own stored config used `apiUrl`, so that was the obvious suspect — but `apiUrl` was inert and **`url` was the live sink**. Batch-firing both had produced callbacks with no attribution; only per-payload isolation identified the real parameter. A report naming `apiUrl` would have sent the client to patch a field that does nothing.
Blind vs full-read — establish which before scoring
After a callback confirms the request leaves the server, **check whether the upstrea
Read more
name: hunt-ssrf description: Hunting skill for ssrf vulnerabilities. Built from 15 public bug bounty reports including AWS metadata SSRF (HackerOne $25k Analytics PDF, Shopify Exchange $25k, Capital One 106M-record breach, Dropbox/HelloSign $4,913), GCP metadata SSRF (Snapchat $4k), Azure IMDS SSRF (Azure DevOps $15k chain, ChatGPT Custom Actions MSRC), DNS rebinding SSRF (Concrete CMS, GitLab UrlBlocker), gopher-protocol-to-Redis-RCE (Yahoo Mail $15k), link-preview SSRF (Reddit Matrix $6k), and headless-browser PDF-generator SSRF chains. Use when hunting SSRF on any target — OOB Collaborator confirmation mandatory for blind cases. sources: github, hackerone_public, portswigger_research, binarysecurity_research report_count: 15
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 callback** do you claim SSRF. 5. If zero callbacks across all sub-tagged sinks: SSRF claims must be retracted, even if error messages echo URLs.
**Lesson from a authorized engagement:** SharePoint's `/_layouts/15/download.aspx?SourceUrl=` returned 500 with the title `"The Web application at <attacker-URL> could not be found"`. Initial scan flagged this as SSRF (server clearly processed the URL). 38 Collaborator-tagged payloads across 12+ URL-accepting parameters yielded **zero DNS or HTTP interactions**. The "echo" was client-side error-string formatting; the server never made an outbound HTTP request. The path is actually an SP-internal `SPFile`/`SPWebApplication` resolver, not a generic URL fetcher. Reporting this as SSRF would have been N/A'd at triage.
Attribute the callback to ONE parameter before reporting
A callback proves the server made a request. It does **not** tell you which parameter caused it, and the fix depends entirely on that.
BAD — four candidate fields, one payload, fired in one batch
-> callbacks arrive, attribution impossible, retest required
GOOD — fresh payload per field, one request each, poll between
url -> callbacks <- this is the sink
apiUrl -> none
endpoint -> none
target -> none**Run the negative control.** A parameter that produces *no* callback is evidence, and it belongs in the report — it is what lets the client fix the right field instead of allowlisting the wrong one.
**Lesson from an authorized engagement.** A server-side request-forwarding endpoint accepted both `url` and `apiUrl`. The application's own stored config used `apiUrl`, so that was the obvious suspect — but `apiUrl` was inert and **`url` was the live sink**. Batch-firing both had produced callbacks with no attribution; only per-payload isolation identified the real parameter. A report naming `apiUrl` would have sent the client to patch a field that does nothing.
Blind vs full-read — establish which before scoring
After a callback confirms the request leaves the server, **check whether the upstrea
A self-contained Claude skill bundle for bug hunting and external red-team work · 82 skills · 15 slash commands · 681 disclosed-report patterns across 24 core vulnerability classes · enterprise identity + infrastructure attack matrices · engagement-folder
Repo: elementalsouls/Claude-BugHunter
Other skills on claude-bughunter.
- /apk-redteam-pipeline
End-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
Open skill - /bb-local-toolkit
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,
Open skill - /bb-methodology
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,
Open skill - /bug-bounty
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,
Open skill - /bugcrowd-reporting
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
Open skill - /cloud-iam-deep
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
Open skill

