hunting-python-unsafe-deserialization SKILL.md skillA

hunting-python-unsafe-deserialization from unboundcompute/security-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add unboundcompute/security-agent-skills/hunting-python-unsafe-deserialization@git:20260826.c45369b

Pins git:20260826.c45369b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
unboundcompute/security-agent-skills
Path
skills/hunting-python-unsafe-deserialization/SKILL.md
Versions recorded
1
Latest version
git:20260826.c45369b, committed Aug 26, 2026
Size
8,630 bytes
Repository stars
26
License
MIT

Hunt Python deserialization that executes attacker code: untrusted input reaching pickle.loads, an unsafe YAML load, marshal, jsonpickle, dill, or a numpy or pandas loader that unpickles, where the format supports arbitrary object construction through __reduce__ or a tag. Covers pickled data in requests, cookies, caches, message queues, and model or dataframe files, and YAML documents that instantiate arbitrary Python objects. Use when a service loads serialized Python objects it did not…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Hunting Python unsafe deserialization: when loading data calls a function

Several Python serialization formats are not data formats at all; they are programs. `pickle` invokes
`__reduce__` during load, which names a callable and its arguments and runs them, so a pickled blob can
call any importable function on reconstruction. YAML's full loader instantiates arbitrary Python objects
from tags. `marshal`, `dill`, `jsonpickle`, and the model and dataframe loaders that wrap pickle inherit
the same property. The vulnerability is not a bug in these libraries; it is using them on data an
attacker controls. You find it by locating every loader that reconstructs objects rather than parsing
data, and asking whether untrusted bytes reach it.

## When to use

- A service loads serialized Python objects from a request, a cookie, a cache, a queue, or a file.
- The loader in use reconstructs arbitrary objects: pickle, unsafe YAML, marshal, dill, or jsonpickle.
- A model, dataframe, or checkpoint file from an untrusted source is loaded through a pickling loader.

## Scope check

Test deserialization only against services you own or are authorized to assess, on non-production data. A
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add unboundcompute/security-agent-skills/hunting-python-unsafe-deserialization@sha256:49ad7c153f43796e

The line at the top of this page pins the label git:20260826.c45369b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ecffjw5us7xzsamb.svg)](https://markdownregistry.com/a/art_ecffjw5us7xzsamb)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 26, 2026.

versioncommittedcommitsizeaudit
git:20260826.c45369b latest2026-08-26 c45369b 8,630 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8630 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

unboundcompute/security-agent-skills · 26 stars · license MIT · pushed 2026-09-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ecffjw5us7xzsamb
GET https://markdownregistry.com/api/v1/resolve?ref=unboundcompute/security-agent-skills/hunting-python-unsafe-deserialization
GET https://markdownregistry.com/api/v1/blob/49ad7c153f43796e8f345e464bd07e7ca0cc6c5d7795ac9b1c621cfa96a1275d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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