hunting-java-deserialization-gadget-chains

hunting-java-deserialization-gadget-chains is a skill for Claude Code from UnboundCompute/security-agent-skills. It costs 163 tokens per session (1,982 once invoked), scanned A, original, MIT.

A guide for finding unsafe Java object deserialization, where a program rebuilds an object from data. It focuses on cases where attacker-controlled data reaches Java deserialization and triggers a chain of existing library classes that can perform harmful actions.

In plain words
What is it for?
Use it to trace untrusted bytes to readObject or equivalent framework code and inspect the application's libraries for usable gadget chains.
Why use it?
Deserializing data is not safe merely because it comes from a queue, cache, file, or cookie; reachable classes can turn object loading into code execution.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the security-agent-skills plugin — 194 skills shipped together

Good fit Use it to trace untrusted bytes to readObject or equivalent framework code and inspect the application's libraries for usable gadget chains.

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Install with agentmods
npx agentmods add skills/unboundcompute/security-agent-skills/hunting-java-deserialization-gadget-chains
Install

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.

Any agent
npx skills add UnboundCompute/security-agent-skills --skill hunting-java-deserialization-gadget-chains
Clone the repo
git clone --depth 1 https://github.com/UnboundCompute/security-agent-skills

Made for: Claude Code.

Or install security-agent-skills, the plugin that ships this one along with the rest of its 194 skills.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-java-deserialization-gadget-chains"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-java-deserialization-gadget-chains.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 163 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,982 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00163 $0.01982
Opus 5.5 $0.00065 $0.00793
Sonnet 5.5 $0.00033 $0.00396
Haiku 4.5 $0.00016 $0.00198

Measured 1mo ago against content hash 0da80d16dedd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hunting-java-deserialization-gadget-chains scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hunting-java-deserialization-gadget-chains/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hunting Java deserialization gadget chains: when reading an object runs code

Java native serialization was never a trust boundary, but it is treated as one every time a service accepts a serialized object from a client, a queue, a cache, or a cookie and calls readObject. The danger is not the deserialization call by itself; it is the combination of that call with a gadget, an already-present library class whose own readObject, readResolve, or finalizer performs a side effect an attacker can steer. Chained together, ordinary library classes reconstruct into a sequence that ends in a runtime command, a naming lookup, or a template evaluation. You find these by locating every place untrusted bytes reach a deserializer and then asking which reachable library versions on the classpath carry a chain that fires on reconstruction.

When to use

  • A service reads serialized Java objects from a client, a message queue, a cache, a file, or a cookie.
  • Untrusted input reaches readObject, an ObjectInputStream, or a framework method that deserializes.
  • Reachable library versions on the classpath are known to carry a deserialization gadget.

Scope check

Test deserialization only against services and applications you own or are authorized to assess, on non-production infrastructure. A confirming payload runs code on the target, so treat every proof as a live intrusion and stay inside the authorized scope. If you can't name the authorization, stop.

The loop

  1. Establish the deserialization sinks first. Before chasing gadgets, inventory every call that turns bytes into objects: ObjectInputStream.readObject, readUnshared, framework converters that accept a serialized object, and any wrapper that hides one. This is the false-positive killer: a gadget on the classpath is harmless if no untrusted stream ever reaches a deserializer. Name the sinks, then work backward.

  2. Trace untrusted bytes into each sink. Follow request bodies, headers, cookies, queue messages, cache entries, and uploaded files into the deserializer. A stream the service itself produced and never exposes is not a source; a stream any client, or any producer on a shared bus, can supply is. Confirm the bytes crossing the boundary are attacker-influenced, not merely internal.

Read the full file on GitHub · 135 lines

Changes

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.

  1. 1mo ago First seen · 135 lines · 163 tokens per session scan A 0da80d16dedd

Subscribe to this mod's changes

hunting-java-deserialization-gadget-chains is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 163 tokens to every session and 1,982 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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