skills.rest
reason-machines
reason-machinesOFFICIAL
Explore all skills by this author →
Website𝕏@reasonmachinesGitHub

minecraft-vape-malware-analysis

Analyzes and documents a malicious Minecraft cheat client distribution scheme on GitHub.

4|Updated May 16, 2026
Search Tags:#static analysis#github#threat detection#reverse engineering#minecraft#security research#malware analysis
One-click install
npx skills add https://github.com/reason-machines/devtools-skills --skill minecraft-vape-malware-analysis-reason-machines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: minecraft-vape-malware-analysis
Source: https://github.com/reason-machines/devtools-skills/tree/main/skills/minecraft-vape-malware-analysis
Command: npx skills add https://github.com/reason-machines/devtools-skills --skill minecraft-vape-malware-analysis-reason-machines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pefile, requests.

What problem does it solve? Gamers and security researchers need to identify fraudulent GitHub repositories that distribute malware disguised as Minecraft mods or cheat clients, and this Skill provides a structured methodology for detecting, analyzing, and reporting such threats. ## Core Features & Use Cases - Red Flag Detection: Identifies warning signs like keyword stuffing, star manipulation, fake tech stacks, and binary-only distribution patterns. - Static and Behavioral Analysis Guidance: Provides Python scripts using pefile for executable inspection and sandboxing workflows for behavioral monitoring. - Reporting Workflows: Includes steps for reporting malicious repositories to GitHub and submitting samples to VirusTotal. - Use Case: A parent finds their child downloaded a "Vape V4" Minecraft client from GitHub and uses this Skill to verify the repository is a malware distribution scheme, analyze the executable safely in a sandbox, and report it to GitHub. ## Quick Start Analyze this Minecraft mod installer repository and tell me whether it shows indicators of malware distribution.

Frequently Asked Questions about minecraft-vape-malware-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if a Minecraft mod from GitHub is malware?▼

Check for red flags like keyword-stuffed descriptions, abnormally fast star growth, executables without source code, and cheating-related topics. Clone the repository in an isolated VM, list all files, and inspect any .exe or .dll files with static analysis tools before running anything.

How to analyze a suspicious Windows executable with Python?▼

Use the pefile library to inspect the executable's entry point, sections, and imported DLLs without running it. Run the analysis inside an isolated virtual machine or sandbox so the file cannot harm your system if accidentally executed.

What are the signs of a fake GitHub repository distributing malware?▼

Common indicators include abnormal star growth rates, spam patterns in descriptions, a claimed programming language with no matching source files, releases containing only executables, and future-dated creation timestamps. Multiple redundant keywords like "Latest" and "Updated" also signal SEO spam.

How do I report a malicious repository to GitHub?▼

Report the repository through GitHub's abuse reporting interface at github.com/contact/report-abuse. You can also submit suspicious file samples to VirusTotal using their API so antivirus vendors can detect the threat.

Can I safely download malware samples for analysis?▼

Only download samples inside an isolated environment such as a Windows Sandbox, Cuckoo sandbox, or a dedicated VM with no network access to sensitive data. Never execute the files on your main system, and monitor network connections, file changes, and registry modifications during behavioral analysis.

Related Skills

Explore More Software Engineering Skills→
reason-machinesreason-machines
5

malware-warning-sas-analytics-pro-cracked

Warns users against downloading cracked SAS Analytics Pro repositories distributing malware.

Official
Basic
YukiIto1999YukiIto1999

extracting-iocs-from-malware-samples

Extract IOCs from malware samples and export STIX 2.1 and CSV artifacts.

Community
Advanced
AxxxxxxaaannAxxxxxxaaann

analyzing-malware-behavior-with-cuckoo-sandbox

Execute malware samples in Cuckoo Sandbox and capture runtime activity reports.

Community
Advanced
ImJokeImJoke
1

Malware Analysis & Reverse Engineering

Analyze PE, ELF, and script-based malware across four-phase triage, static, dynamic, and unpacking workflows.

Community
Advanced