Decepticon is an autonomous red-team agent that coordinates AI agents, security tools, sandboxes, and supporting services for authorized cybersecurity assessments. Security researchers and red teams can run it through its Docker stack, cloud service, command-line interface, or Python SDK, with the catalogue entries representing its available skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PurpleAILAB/Decepticon --skill ssrfgit clone --depth 1 https://github.com/PurpleAILAB/DecepticonWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/purpleailab/decepticon/ssrf)<a href="https://agentmods.dev/skills/purpleailab/decepticon/ssrf"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/ssrf/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/purpleailab/decepticon/ssrf"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/ssrf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Server-Side Request Forgery · line 39 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
- high Server-Side Request Forgery · line 41 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
- high Server-Side Request Forgery · line 54 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
- high Server-Side Request Forgery · line 55 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
- high Server-Side Request Forgery · line 78 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
- high Server-Side Request Forgery · line 80 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
- high Server-Side Request Forgery · line 40 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.01447 |
| Opus 5 | $0.00032 | $0.00724 |
| Sonnet 5 | $0.00013 | $0.00289 |
| Haiku 4.5 | $0.00006 | $0.00145 |
Grade C, and why
ssrf scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Cloud metadata endpointhighServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
| `http://169.254.169.254/` (AWS IMDS) | IAM role creds → full AWS takeover | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Python: `requests.get(user_url)`, `httpx.get`, `urllib.request.urlopen`, `aiohttp.get` Copies of this mod
1 near-identical copy found in the catalogue:
- ssrf-analysis — 94% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SSRF Hunting Playbook
SSRF is one of the highest-yield vuln classes for 0-day work because (a) it's often medium severity in isolation but chains to critical when it reaches cloud metadata, internal admin panels, or unprotected Redis/Elasticsearch, and (b) modern frameworks have dozens of bypass classes that scanners miss.
1. Sources (user-controlled input that becomes a URL)
Look for any parameter that gets fed into an HTTP client:
- Python:
requests.get(user_url),httpx.get,urllib.request.urlopen,aiohttp.get - Node:
fetch(userUrl),axios.get,http.request,got,node-fetch - Java:
HttpURLConnection,HttpClient.send,URL.openConnection,OkHttpClient - Go:
http.Get(u),http.NewRequest,net.Dial("tcp", u) - Ruby:
Net::HTTP.get,URI.open,Faraday.get - PHP:
file_get_contents($url),curl_exec,fsockopen
Grep patterns to run via bash:
semgrep --config p/ssrf /workspace/src --sarif -o /workspace/sem-ssrf.sarif
grep -rE 'requests\.get\(|httpx\.|urllib.*urlopen|fetch\(|axios\.|http\.Get\(|URL\(' /workspace/src
2. Sinks that make SSRF worth reporting
| Sink | Impact |
|---|---|
http://169.254.169.254/ (AWS IMDS) |
IAM role creds → full AWS takeover |
http://metadata.google.internal/ |
GCP service-account token |
http://169.254.169.254/metadata/v1/ |
Azure IMDS |
http://127.0.0.1:6379/ (Redis) |
Unauthenticated RCE via Lua eval / cron |
http://127.0.0.1:9200/ |
Elasticsearch data leak + RCE |
http://127.0.0.1:2375/ |
Docker daemon — container escape |
gopher://, dict://, file:// |
Protocol smuggling (SMTP, memcached) |
Internal *.svc.cluster.local |
Kubernetes service mesh lateral |
3. Bypass classes (why scanners miss real bugs)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 109 lines · 63 tokens per session scan C 3d0430d4a48e
ssrf is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,471 stars, last pushed 11d ago), licensed Apache-2.0. It adds 63 tokens to every session and 1,447 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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