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deserialization-insecure

Fingerprint serialized inputs and detect unsafe Java, PHP, or Python deserialization sinks.

2|Updated May 15, 2026
Search Tags:#payload generation#insecure deserialization#gadget chains#traffic fingerprinting#RCE validation#Java PHP Python#ysoserial phpggc
One-click install
npx skills add https://github.com/lNwNl/Methodos --skill deserialization-insecure
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deserialization-insecure
Source: https://github.com/lNwNl/Methodos/tree/main/docker/opencode/skills/deserialization-insecure
Command: npx skills add https://github.com/lNwNl/Methodos --skill deserialization-insecure

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Insecure deserialization vulnerabilities often hide in “binary blob” parameters, cookies, or encoded fields, where untrusted data reaches unsafe deserialization sinks and enables RCE or privilege escalation. This Skill helps you confirm whether traffic is actually deserialization-driven and then select appropriate gadget chains and tooling across Java, PHP, and Python.

Core Features & Use Cases

  • Traffic fingerprinting & confirmation: Identify common serialized formats (Java, PHP, Python) using signatures, prefixes, and Content-Type indicators, then validate safely (e.g., DNS-only probes).
  • Cross-language gadget chain guidance: Generate language-specific exploitation paths, including Java Commons Collections/Spring/SnakeYAML/Hessian/Kryo/XStream/ViewState, PHP unserialize/Phar, and Python pickle abuse.
  • Tooling and workflow orchestration: Use ysoserial/ysoserial.net and PHPGGC to produce payloads aligned to target libraries and constraints, with practical escalation and mitigation awareness.

Quick Start

Ask the Skill to confirm the payload type from your request (headers, cookies, and any base64/hex fields) and recommend the safest confirmation probe and the most compatible gadget chains for that stack.

Frequently Asked Questions about deserialization-insecure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect insecure deserialization vulnerabilities in black-box traffic?▼

To detect insecure deserialization in black-box traffic, fingerprint serialized inputs in cookies, POST bodies, or encoded parameters by matching format signatures, prefixes, and Content-Type indicators to identify if untrusted data reaches unsafe deserialization sinks.

What gadget chains work for exploiting Java, PHP, and Python deserialization?▼

For exploiting Java, PHP, and Python deserialization, applicable gadget chains include Java Commons Collections, Spring, SnakeYAML, Hessian, Kryo, XStream, ViewState, PHP unserialize and Phar, and Python pickle abuse to achieve RCE.

How do I safely confirm a deserialization RCE vulnerability without breaking the target?▼

To safely confirm a deserialization RCE vulnerability, use DNS-only probes to validate whether untrusted data reaches unsafe deserialization sinks, ensuring the target application remains stable during black-box security testing.

When do I need ysoserial or PHPGGC for payload generation?▼

You need ysoserial or PHPGGC for payload generation when black-box testing confirms untrusted data reaching unsafe deserialization sinks, requiring language-specific gadget chains to produce payloads aligned to target libraries and constraints.

Can I identify serialized data formats from base64 or hex encoded fields?▼

Yes, you can identify serialized data formats from base64 or hex encoded fields by applying traffic fingerprinting techniques that analyze signatures, binary prefixes, and Content-Type indicators to determine Java, PHP, or Python serialization.

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