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 latestaiagents/agent-skills --skill insecure-deserializationgit clone --depth 1 https://github.com/latestaiagents/agent-skillsWrote 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/latestaiagents/agent-skills/insecure-deserialization)<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/insecure-deserialization"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/insecure-deserialization/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/latestaiagents/agent-skills/insecure-deserialization"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/insecure-deserialization.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 | $0.00072 | $0.01951 |
| Opus 5 | $0.00036 | $0.00975 |
| Sonnet 5 | $0.00014 | $0.00390 |
| Haiku 4.5 | $0.00007 | $0.00195 |
Grade B, and why
insecure-deserialization scanned grade B 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.
Encoded or obfuscated payloadmediumSupply chain
base64 or hex that is decoded and executed hides what actually runs from anyone reading the file.
data = marshal.loads(user_input) Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insecure Deserialization (OWASP A08)
Prevent remote code execution and object injection through safe deserialization practices.
When to Use
- Parsing serialized objects from untrusted sources
- Handling session data or cookies
- Processing API payloads with type information
- Working with message queues
- Importing/exporting data
Risk Levels by Language
| Language | Serialization | Risk | Impact |
|---|---|---|---|
| Java | ObjectInputStream | CRITICAL | RCE |
| Python | pickle/marshal | CRITICAL | RCE |
| PHP | unserialize() | CRITICAL | RCE |
| Ruby | Marshal.load | CRITICAL | RCE |
| Node.js | node-serialize | HIGH | RCE |
| .NET | BinaryFormatter | CRITICAL | RCE |
| JavaScript | JSON.parse | LOW | Prototype pollution |
Vulnerable Patterns
Python
# VULNERABLE - pickle with untrusted data
import pickle
data = pickle.loads(user_input) # RCE possible!
# VULNERABLE - yaml.load without SafeLoader
import yaml
data = yaml.load(user_input) # RCE possible!
# VULNERABLE - marshal
import marshal
data = marshal.loads(user_input)
Java
// VULNERABLE - ObjectInputStream with untrusted data
ObjectInputStream ois = new ObjectInputStream(inputStream);
Object obj = ois.readObject(); // RCE possible!
// VULNERABLE - XMLDecoder
XMLDecoder decoder = new XMLDecoder(inputStream);
Object obj = decoder.readObject();
PHP
// VULNERABLE - unserialize with user input
$data = unserialize($_POST['data']); // RCE possible!
// VULNERABLE - unserialize from cookie
$session = unserialize($_COOKIE['session']);
Node.js
// VULNERABLE - node-serialize
const serialize = require('node-serialize');
const obj = serialize.unserialize(userInput); // RCE possible!
// VULNERABLE - js-yaml without safe loading
const yaml = require('js-yaml');
const data = yaml.load(userInput); // Code execution possible!
// VULNERABLE - prototype pollution via JSON
const obj = JSON.parse('{"__proto__": {"admin": true}}');
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 · 315 lines · 72 tokens per session scan B 92caa706819e
insecure-deserialization is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 72 tokens to every session and 1,951 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (encoded or obfuscated payload). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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