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.
npx skills add UnboundCompute/security-agent-skills --skill hunting-java-deserialization-gadget-chainsgit clone --depth 1 https://github.com/UnboundCompute/security-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-java-deserialization-gadget-chains)<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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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>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.
| Model | Per session | Once 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 |
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.
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, anObjectInputStream, 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
-
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. -
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.
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.
- 1mo ago First seen · 135 lines · 163 tokens per session scan A 0da80d16dedd
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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