Waxell

skill

ctf-malware Review findings

ljagielloljagiello/ctf-skillsupdated

Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.
ljagiello's own description, from the skill's files.
Stars
3,615
Version
v1
Copies
0

Overview

holdReview findings

Waxell's checks found 2 findings to review, highest severity high.

Highest severity
high
Findings
2
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 2 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (2)

high · 2

  • high

    Tells Claude to install unpinned packages (yara-python, pefile, capstone, oletools, unicorn, pycryptodome)

    SKILL.md:20 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (dissect.cobaltstrike)

    c2-and-protocols.md:222 · skill_risk:S2

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1, seen 2026-11-03.

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SOC 2 Type II attested · ISO/IEC 27001:2022 certified · HIPAA with a BAA · aligned to the EU AI Act and NIST AI RMF

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