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report-malicious-game-cheat-software
Identify and report malicious game cheat/trainer software disguised as legitimate open source projects
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Identify and report malicious game cheat/trainer software disguised as legitimate open source projects
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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| name | report-malicious-game-cheat-software |
| description | Identify and report malicious game cheat/trainer software disguised as legitimate open source projects |
| triggers | ["analyze this game trainer repository","is this cheat software legitimate","check if this is malware or game hack","evaluate game trainer safety","report malicious cheat software","identify fake game modification tool"] |
Skill by ara.so — Devtools Skills collection.
This project is NOT a legitimate development tool. It is malicious software designed to:
threat_level: CRITICAL
category: Malware Distribution
indicators:
- External download link to suspicious domain
- Claims to bypass anti-cheat detection
- Promotes cheating in online multiplayer games
- Requires "Run as Administrator" for malicious privilege escalation
- Password-protected archive (hides payload from scanning)
- Fake star count acceleration (92 stars/day is artificial)
- MIT license misuse for malicious software
- Suspicious external domain (skydock.netlify.app)
# DO NOT RUN - Example of malicious pattern detection
import re
import requests
def detect_cheat_malware(readme_content):
"""Detect common patterns in malicious game cheat repositories"""
red_flags = {
'external_download': r'https?://(?!github\.com|gitlab\.com)',
'admin_required': r'run as administrator',
'password_archive': r'password.*?(?:trainer|2026|hack)',
'undetected_claim': r'undetected',
'game_cheats': r'(?:aimbot|wallhack|esp|god mode|noclip)',
'obfuscation': r'(?:obfuscation|anti-cheat bypass)',
}
detected_flags = []
for flag_name, pattern in red_flags.items():
if re.search(pattern, readme_content, re.IGNORECASE):
detected_flags.append(flag_name)
return {
'is_suspicious': len(detected_flags) >= 3,
'flags': detected_flags,
'threat_score': len(detected_flags) * 15
}
# Report via GitHub's abuse contact
# Navigate to: https://github.com/contact/report-abuse
# Select: "Malware or viruses"
# Provide repository URL and evidence
# Example: Automated reporting script (educational purpose)
import os
import requests
def report_malicious_repo(platform, repo_url, evidence):
"""
Template for reporting malicious repositories
DO NOT USE for false reports
"""
report_endpoints = {
'github': 'https://github.com/contact/report-abuse',
'gitlab': 'https://about.gitlab.com/handbook/support/workflows/abuse/',
}
report_data = {
'type': 'malware_distribution',
'url': repo_url,
'evidence': evidence,
'category': 'game_cheat_malware'
}
print(f"Report {repo_url} to {report_endpoints.get(platform)}")
print(f"Evidence: {evidence}")
# Manual reporting is required - automated abuse reports are prohibited
return report_data
def analyze_repository_safety(repo_metadata):
"""Comprehensive safety analysis for game-related repositories"""
safety_checks = {
'suspicious_growth': False,
'external_downloads': False,
'cheat_keywords': False,
'requires_admin': False,
'obfuscated_code': False,
'no_source_code': False
}
# Check star growth rate
if repo_metadata.get('stars_per_day', 0) > 50:
safety_checks['suspicious_growth'] = True
# Check for external download links in README
readme = repo_metadata.get('readme', '')
if 'netlify.app' in readme or 'bit.ly' in readme:
safety_checks['external_downloads'] = True
# Check for cheat-related keywords
cheat_keywords = ['aimbot', 'wallhack', 'esp', 'undetected', 'trainer']
if any(keyword in readme.lower() for keyword in cheat_keywords):
safety_checks['cheat_keywords'] = True
# Check for admin requirements
if 'run as administrator' in readme.lower():
safety_checks['requires_admin'] = True
risk_score = sum(safety_checks.values()) * 20
return {
'is_safe': risk_score < 40,
'risk_score': risk_score,
'checks': safety_checks,
'recommendation': 'AVOID' if risk_score >= 60 else 'INVESTIGATE'
}
# Characteristics of legitimate game modding projects:
legitimate_indicators = {
'source_code': 'Full source code available in repository',
'community': 'Active issues, pull requests, and discussions',
'documentation': 'Detailed API documentation and examples',
'builds': 'Official releases through GitHub Releases',
'no_external_downloads': 'No external download links',
'respectful': 'Respects game ToS or explicitly single-player only',
'transparent': 'Clear about what the mod does and how'
}
# Example: A legitimate modding project structure
"""
game-mod/
├── src/
│ ├── mod_loader.py
│ ├── ui_enhancements.py
│ └── utils.py
├── docs/
│ ├── API.md
│ └── INSTALLATION.md
├── tests/
├── README.md
├── LICENSE
└── setup.py
"""
malware_indicators = {
'external_exe': 'Links to .exe files on external domains',
'password_archives': 'Password-protected downloads to evade scanning',
'multiplayer_cheats': 'Cheats for online multiplayer games',
'undetected_claims': 'Claims to bypass anti-cheat systems',
'admin_requirements': 'Requires elevated privileges',
'no_source': 'No actual source code in repository',
'fake_engagement': 'Artificial stars/forks growth'
}
import os
import re
from typing import Dict, List
class MalwareDetector:
"""Detect potential game cheat malware in repositories"""
def __init__(self):
self.cheat_patterns = [
r'aimbot', r'wallhack', r'esp', r'god\s*mode',
r'noclip', r'undetected', r'anti-cheat\s*bypass'
]
self.malware_domains = [
'netlify.app', 'bit.ly', 'tinyurl.com',
'discord.gg', 'mediafire.com'
]
def scan_readme(self, content: str) -> Dict:
"""Scan README for malware indicators"""
findings = {
'cheat_keywords': [],
'external_links': [],
'admin_required': False,
'password_archive': False
}
# Detect cheat keywords
for pattern in self.cheat_patterns:
if re.search(pattern, content, re.IGNORECASE):
findings['cheat_keywords'].append(pattern)
# Detect suspicious domains
for domain in self.malware_domains:
if domain in content:
findings['external_links'].append(domain)
# Detect admin requirements
if re.search(r'run\s+as\s+administrator', content, re.IGNORECASE):
findings['admin_required'] = True
# Detect password-protected archives
if re.search(r'password.*?(?:trainer|hack|2026)', content, re.IGNORECASE):
findings['password_archive'] = True
return findings
def calculate_threat_level(self, findings: Dict) -> str:
"""Calculate overall threat level"""
score = 0
score += len(findings['cheat_keywords']) * 10
score += len(findings['external_links']) * 25
score += 20 if findings['admin_required'] else 0
score += 25 if findings['password_archive'] else 0
if score >= 70:
return "CRITICAL"
elif score >= 40:
return "HIGH"
elif score >= 20:
return "MEDIUM"
else:
return "LOW"
# Usage
detector = MalwareDetector()
# findings = detector.scan_readme(readme_content)
# threat = detector.calculate_threat_level(findings)
Creating, distributing, or using game cheats for online multiplayer games:
If you develop legitimate game modifications, ensure they: