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 MingyiSecLab/Mingyi-Atlas --skill deserialization-analysisgit clone --depth 1 https://github.com/MingyiSecLab/Mingyi-AtlasWrote 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/mingyiseclab/mingyi-atlas/deserialization-analysis)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/deserialization-analysis"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/deserialization-analysis/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/mingyiseclab/mingyi-atlas/deserialization-analysis"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/deserialization-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01337 |
| Opus 5 | $0.00032 | $0.00668 |
| Sonnet 5 | $0.00013 | $0.00267 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade B, and why
deserialization-analysis scanned grade B with 3 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 10d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST https://target.com/api/import -H "Content-Type: application/x-java-serialized-object" --data-binary @payload.set Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://target.com/api/import -H "Content-Type: application/x-java-serialized-object" --data-binary @payload.set Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
def __reduce__(self): return (os.system, ("id > /tmp/pwn",)) This is a copy
89% identical to deserialization — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insecure Deserialization Playbook
Deserialization is the single most reliable path from a byte string under user control to unauthenticated remote code execution. Modern frameworks have tried to wall this off, but chained-gadget attacks (ysoserial, ysoserial.net, marshalsec, phpggc) still make this a top-tier finding.
1. Sources (user-controlled data that becomes an object)
- HTTP body, cookie, header, query param
- Message queue payload (Kafka, RabbitMQ, SQS)
- File upload parsed as config
- WebSocket messages
- Inter-service RPC
2. Dangerous sinks by language
Python
pickle.loads/pickle.load/pickle.Unpicklerdill.loads,cloudpickle.loads,shelve.openyaml.load()withoutLoader=SafeLoaderjsonpickle.decodenumpy.load(allow_pickle=True)torch.load(loads pickled tensors → RCE)joblib.loadmarshal.loads
grep -rE 'pickle\.loads?\(|yaml\.load\([^)]*Loader=(FullLoader|Loader)?\)|torch\.load\(' /workspace/src
semgrep --config p/insecure-transport --config p/python /workspace/src -o /workspace/sem-deser.sarif
Java
ObjectInputStream.readObjectXMLDecoder.readObjectJackson ObjectMapperwith default typing + polymorphic typesSnakeYAMLYaml.load()(before 2.0) — RCE via!!javax.script.ScriptEngineManagerXStreamwithout whitelistHessian,Kryowith registration disabled
Gadgets: ysoserial payloads (CommonsCollections, Spring, Groovy, C3P0)
.NET
BinaryFormatter.Deserialize(deprecated but still common)SoapFormatter,LosFormatter,ObjectStateFormatterJavaScriptSerializerwithSimpleTypeResolverJson.NETwithTypeNameHandling != None
PHP
unserialize()on any user input- PHAR uploads —
file_exists("phar://upload.phar")triggers deser - Laravel
decrypt()→unserialize(pre-patched APP_KEY leak chain)
Ruby
Marshal.loadYAML.load(before Psych 4 safe default)Oj.loadwithoutmode: :rails
Node.js
node-serializeunserialize()serialize-to-jsdeserialize()vm.runInNewContext(userInput)— not technically deser but same impact
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.
- 10d ago First seen · 146 lines · 63 tokens per session scan B 1a871fe354a3
deserialization-analysis is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 63 tokens to every session and 1,337 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 3 findings (sends data to an external url, makes network calls, runs shell commands). It is 89% identical to deserialization, differing in 5 lines, and is treated as a copy.
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