analyzing-linux-elf-malware SKILL.md skillA

analyzing-linux-elf-malware from andycungkrinx91/konoha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add andycungkrinx91/konoha/analyzing-linux-elf-malware@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
andycungkrinx91/konoha
Path
src/templates/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/analyzing-linux-elf-malware/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 25, 2026
Size
12,578 bytes
Repository stars
15
License
MIT

'Analyzes malicious Linux ELF (Executable and Linkable Format) binaries.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Analyzing Linux ELF Malware

## When to Use

- A Linux server or container has been compromised and suspicious ELF binaries are found
- Analyzing Linux botnets (Mirai, Gafgyt, XorDDoS), cryptominers, or ransomware
- Investigating malware targeting cloud infrastructure, Docker containers, or Kubernetes pods
- Reverse engineering Linux rootkits and kernel modules
- Analyzing cross-platform malware compiled for Linux x86_64, ARM, or MIPS architectures

**Do not use** for Windows PE binary analysis; use PEStudio, Ghidra, or IDA for Windows malware.

## Prerequisites

- Ghidra or IDA with Linux ELF support for disassembly and decompilation
- Linux analysis VM (Ubuntu 22.04 recommended) with development tools installed
- strace, ltrace, and GDB for dynamic analysis and debugging
- readelf, objdump, and nm from GNU binutils for static inspection
- Radare2 for quick binary triage and scripted analysis
- Docker for isolated container-based malware execution

## Workflow

### Step 1: Identify ELF Binary Properties

Examine the ELF header and basic properties:

```bash
# File type identification
file suspect_binary

# Detailed ELF header analysis
readelf -h suspect_binary
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add andycungkrinx91/konoha/analyzing-linux-elf-malware@sha256:1cf2977ee44a870e

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_p6qry2sxn5eywr2k.svg)](https://markdownregistry.com/a/art_p6qry2sxn5eywr2k)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 25, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-25 fd02612 12,578 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12578 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

andycungkrinx91/konoha · 15 stars · license MIT · pushed 2026-11-01 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_p6qry2sxn5eywr2k
GET https://markdownregistry.com/api/v1/resolve?ref=andycungkrinx91/konoha/analyzing-linux-elf-malware
GET https://markdownregistry.com/api/v1/blob/1cf2977ee44a870e38a560c9b661d9177815e21d3d9ac80b423662a5af6ea26b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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