--- 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". allowed-tools: - Read - Bash(python3:*) - Glob - Grep disallowed-tools: - Bash(rm:*) - Bash(curl:*) version: 3.30.0 author: Jeremy Longshore license: MIT compatibility: Designed for Claude Code tags: - security - static-analysis - deserialization - pentest --- # 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 ```bash 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 ```bash 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 ```yaml - 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)