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detecting-insecure-deserialization

Scan a source tree for unsafe-by-default deserialization APIs: Python pickle.loads / cPickle / shelve / dill, Ruby Marshal.load / YAML.load (pre-3.1 default), Java ObjectInputStream.readObject, PHP un

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Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/detecting-insecure-deserialization/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill detecting-insecure-deserialization. Copyright stays with the author (MIT).

Detecting Insecure Deserialization

Overview

Insecure deserialization (CWE-502, OWASP A08:2021) is the highest- severity injection class in many language stacks because it directly maps to RCE. Pickle, Java serialization, PHP unserialize, and BinaryFormatter all execute object-construction code during deserialization. If that code includes __reduce__ / readObject / __wakeup / OnDeserialization callbacks that the attacker controls, the deserialization step IS code execution.

Most legitimate use cases have safer alternatives (JSON for data, YAML with safe-load, Protocol Buffers, Avro). The remaining cases need explicit type allow-lists and HMAC-signed payloads.

When the skill produces findings

Finding Severity Threshold Affected control
Python pickle.loads(...) CRITICAL always (untrusted input) CWE-502
Python pickle.load(file) CRITICAL always CWE-502
Python dill.loads CRITICAL always CWE-502
Python yaml.load(...) without Loader= CRITICAL unsafe legacy default CWE-502
Python yaml.unsafe_load(...) CRITICAL explicit unsafe CWE-502
Python shelve.open(...) HIGH pickle-backed; user-controllable filename CWE-502
Java ObjectInputStream.readObject() CRITICAL always CWE-502
PHP unserialize($input) CRITICAL non-literal input CWE-502
.NET BinaryFormatter.Deserialize(...) CRITICAL deprecated unsafe API CWE-502
.NET NetDataContractSerializer CRITICAL also unsafe CWE-502
.NET LosFormatter.Deserialize CRITICAL ViewState path CWE-502
Ruby Marshal.load(...) CRITICAL non-literal CWE-502
Ruby YAML.load(...) (pre-3.1 Psych) CRITICAL safe in Psych 4.0+; needs version check CWE-502
Node.js node-serialize.unserialize CRITICAL known-vulnerable lib CWE-502
Node.js serialize-javascript reviver HIGH if used to deserialize untrusted CWE-502

Prerequisites

  • Python 3.9+
  • Source tree on local filesystem

Instructions

Run

python3 ${CLAUDE_PLUGIN_ROOT}/skills/detecting-insecure-deserialization/scripts/scan_deserialization.py /path/to/repo

Options same as previous skills: --output, --format, --min-severity, --include-tests, --languages.

Interpret

CRITICAL across the board because these APIs grant RCE during deserialization if the input is attacker-controlled. The verification step is "can the input ever originate from untrusted source" — if yes, it's an immediate fix.

Remediation

The fix depends on the data shape:

  • Data is structured (JSON-shaped): switch to json.loads.
  • Data needs polymorphism / arbitrary types: define a strict schema (Pydantic / dataclasses / Protocol Buffers) and validate on parse.
  • Data must round-trip exact Python / Java / .NET objects: use HMAC-signed serialization with an explicit type allow-list.

See references/PLAYBOOK.md for per-language migrations.

Examples

Worker-queue audit

python3 ${CLAUDE_PLUGIN_ROOT}/skills/detecting-insecure-deserialization/scripts/scan_deserialization.py \
    /path/to/celery-workers --min-severity high

Celery defaults to pickle in older configurations; this finds the remaining unsafe-default callers.

CI

- name: Deserialization scan
  run: |
    python3 plugins/security/penetration-tester/skills/detecting-insecure-deserialization/scripts/scan_deserialization.py \
        . --min-severity high

Output

JSON / JSONL / Markdown. Exit codes: 0 / 1 / 2.

Error Handling

Pickle / Marshal usage on a private cache file written by the same application is technically safe (the attacker can't influence the file contents). The scanner flags it as CRITICAL; verify by reading where the input file originates.

Resources

  • references/THEORY.md — Why deserialization is RCE, gadget chains, HMAC-signing pattern, schema-validation alternatives
  • references/PLAYBOOK.md — Per-language migrations (Python pickle → JSON / msgpack, yaml.load → yaml.safe_load, Java ObjectInputStream → JSON via Jackson with allow-list, PHP unserialize → JSON alternatives, .NET BinaryFormatter → System.Text.Json)

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-detecting-ins-f4ef95/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-detecting-ins-f4ef95.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-detecting-ins-f4ef95",
  "kind": "skill",
  "name": "detecting-insecure-deserialization",
  "description": "Scan a source tree for unsafe-by-default deserialization APIs: Python pickle.loads / cPickle / shelve / dill, Ruby Marshal.load / YAML.load (pre-3.1 default), Java ObjectInputStream.readObject, PHP unserialize, .NET BinaryFormatter / NetDataContractSerializer, Node.js node-serialize, JavaScript JSON.parse with reviver containing eval. Use when: pre-commit gate on services that accept binary blobs, audit of legacy job-queue code (workers deserializing tasks), post-bug-report when \"we accept user-uploaded archives.\" Threshold: any call to a known-unsafe deserialization API on data that originates from user input, network, file upload, or untrusted storage. Trigger with: \"scan deserialization\", \"pickle audit\", \"java readObject scan\", \"yaml.load check\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "security",
      "static-analysis",
      "deserialization",
      "pentest",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Scan a source tree for unsafe-by-default deserialization APIs: Python pickle.loads / cPickle / shelve / dill, Ruby Marshal.load / YAML.load (pre-3.1 default), Java ObjectInputStream.readObject, PHP unserialize, .NET BinaryFormatter / NetDataContractSerializer, Node.js node-serialize, JavaScript JSON.parse with reviver containing eval. Use when: pre-commit gate on services that accept binary blobs, audit of legacy job-queue code (workers deserializing tasks), post-bug-report when \"we accept user-uploaded archives.\" Threshold: any call to a known-unsafe deserialization API on data that originates from user input, network, file upload, or untrusted storage. Trigger with: \"scan deserialization\", \"pickle audit\", \"java readObject scan\", \"yaml.load check\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "skills/.curated/detecting-insecure-deserialization/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/skills/.curated/detecting-insecure-deserialization/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/skills/.curated/detecting-insecure-deserialization/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read",
      "Bash(python3:*)",
      "Glob",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# Detecting Insecure Deserialization\n\n## Overview\n\nInsecure deserialization (CWE-502, OWASP A08:2021) is the highest-\nseverity injection class in many language stacks because it directly\nmaps to RCE. Pickle, Java serialization, PHP unserialize, and\nBinaryFormatter all execute object-construction code during\ndeserialization. If that code includes `__reduce__` /\n`readObject` / `__wakeup` / `OnDeserialization` callbacks that\nthe attacker controls, the deserialization step IS code execution.\n\nMost legitimate use cases have safer alternatives (JSON for data,\nYAML with safe-load, Protocol Buffers, A",
  "cost": {
    "context_tokens": 1070
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-detecting-ins-f4ef95/manifest?version=1.0.0

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