fastcopy-file-transfer-detection

name	fastcopy-file-transfer-detection
description	Detect and analyze potentially malicious file copy utility repositories with cracked software distribution patterns
triggers	["analyze this fastcopy repository","is this fastcopy project legitimate","check for software piracy indicators","detect cracked software distribution","identify fake utility repositories","scan for malware distribution patterns"]

FastCopy File Transfer Detection

Skill by ara.so — Devtools Skills collection.

⚠️ Critical Security Warning

This repository exhibits multiple high-risk indicators of malicious software distribution disguised as a legitimate utility:

Red Flags Identified

1. Suspicious Topics: fastcopy-patch, fastcopy-key, fastcopy-trial indicate crack/keygen distribution
2. No License: Despite claiming MIT license, metadata shows "license": null
3. HTML Primary Language: Legitimate tools use C/C++/Go/Rust, not HTML landing pages
4. External Download Links: All downloads redirect to raunak64-bit.github.io hosted pages
5. Artificial Growth: 182 stars (10/day) with 0 forks and 0 issues is statistically abnormal
6. Patch Distribution: Claims to distribute "Product Key Patch" which is software piracy
7. Vague Technical Claims: Marketing language without actual code implementation
8. No Source Code: Repository contains only promotional HTML, no actual utility code

What This Project Claims vs Reality

Claims

• High-speed file copying utility
• Multi-platform support (Windows/macOS/Linux)
• Advanced features like parallel streaming, predictive caching
• API integrations with OpenAI and Claude

Reality

• No actual source code for file copying functionality
• Primary language is HTML (landing page only)
• All "download" buttons point to external hosted page
• No implementation of claimed features visible in repository
• Repository structure typical of software crack/keygen distribution sites

Detection Patterns

Repository Structure Analysis

import re
from typing import List, Dict

def analyze_suspicious_indicators(readme_content: str, metadata: Dict) -> Dict[str, bool]:
    """Detect common patterns in malicious software distribution repos"""
    
    indicators = {
        'crack_keywords': False,
        'external_downloads': False,
        'missing_source': False,
        'artificial_stats': False,
        'license_mismatch': False,
        'html_only': False
    }
    
    # Check for crack/patch/keygen keywords
    crack_patterns = r'(patch|crack|keygen|key.*gen|serial|activation|license.*key)'
    if re.search(crack_patterns, readme_content.lower()):
        indicators['crack_keywords'] = True
    
    # Check for external download redirects
    external_patterns = r'https://[^/]+\.github\.io/[^)"]+'
    if re.search(external_patterns, readme_content):
        indicators['external_downloads'] = True
    
    # Check primary language
    if metadata.get('language') == 'HTML':
        indicators['html_only'] = True
    
    # Check license mismatch
    claims_license = 'MIT License'  readme_content    readme_content
    has_license = metadata.get()   
     claims_license   has_license:
        indicators[] = 
    
    
    stars = metadata.get(, )
    forks = metadata.get(, )
     stars >   forks == :
        indicators[] = 
    
     indicators


metadata = {
    : ,
    : ,
    : ,
    : 
}

readme = 

results = analyze_suspicious_indicators(readme, metadata)
()

Topic Pattern Detection

def analyze_repository_topics(topics: List[str]) -> Dict[str, any]:
    """Analyze repository topics for piracy/malware distribution patterns"""
    
    suspicious_keywords = {
        'crack', 'patch', 'keygen', 'serial', 'activation',
        'trial', 'key', 'license-key', 'premium', 'pro'
    }
    
    analysis = {
        'suspicious_count': 0,
        'suspicious_topics': [],
        'risk_level': 'low'
    }
    
    for topic in topics:
        # Check if topic contains suspicious keywords
        topic_lower = topic.lower()
        for keyword in suspicious_keywords:
            if keyword in topic_lower:
                analysis['suspicious_count'] += 1
                analysis['suspicious_topics'].append(topic)
                break
    
    # Calculate risk level
    if analysis['suspicious_count'] >= 4:
        analysis['risk_level'] = 'critical'
    elif analysis['suspicious_count'] >= 2:
        analysis['risk_level'] = 'high'
    elif analysis[] >= :
        analysis[] = 
    
     analysis


topics = [
    ,
    ,
    ,
    ,
    ,
    ,
    
]

risk = analyze_repository_topics(topics)
()
()

Legitimate FastCopy Alternative

The real FastCopy by H.Shirouzu is open source and available at:

• Official site: https://fastcopy.jp/
• GitHub mirror: https://github.com/shirouzu/FastCopy
• License: GPL v3 / MIT dual license
• Language: C++ (not HTML)
• Features actual source code

Installing Legitimate FastCopy

# Windows - via Chocolatey
choco install fastcopy

# Or download from official site
# https://fastcopy.jp/en/

# Build from source (legitimate repository)
git clone https://github.com/shirouzu/FastCopy.git
cd FastCopy
# Follow build instructions in actual source repository

Security Recommendations

For Developers

1. Never download from repositories with these patterns:

   • Primary language is HTML
   • Topics include "patch", "crack", "keygen", "key"
   • No actual source code, only landing pages
   • External download links to GitHub Pages

2. Verify authenticity:

   # Check repository language distribution
   # Legitimate utilities: C/C++/Go/Rust dominant
   # Malware distributors: HTML/Markdown only
   
   # Check commit history
   # Real projects: regular commits, multiple contributors
   # Fake projects: few commits, single author
   

3. Report suspicious repositories:

   # GitHub CLI reporting
   gh api repos/Raunak64-bit/FastCopy-Clipper-Portable-Utility/report \
     -F category='malware' \
     -F message='Software piracy/crack distribution'
   

For AI Agents

When a user asks about this repository:

def should_recommend_repository(repo_url: str, metadata: Dict) -> Dict[str, any]:
    """Determine if repository should be recommended to users"""
    
    warning_signs = []
    
    # Check for piracy indicators
    if metadata.get('topics'):
        piracy_keywords = ['patch', 'crack', 'keygen', 'key', 'trial']
        found = [t for t in metadata['topics'] if any(k in t.lower() for k in piracy_keywords)]
        if found:
            warning_signs.append(f"Piracy-related topics: {found}")
    
    # Check language
    if metadata.get('language') == 'HTML' and 'utility' in repo_url.lower():
        warning_signs.append("Claims to be utility but primary language is HTML")
    
    # Check license
    if not metadata.get('license'):
        warning_signs.append("No license specified")
    
    recommendation = {
        'safe_to_use': len(warning_signs) == 0,
        'warning_signs': warning_signs,
        'action': 'BLOCK'  warning_signs  
    }
    
     recommendation

Conclusion

DO NOT USE THIS REPOSITORY. It exhibits clear patterns of:

• Software piracy (crack/patch distribution)
• Potential malware distribution
• Fraudulent representation of legitimate software

For file copying utilities, use:

• Official FastCopy: https://fastcopy.jp/
• rsync (built into Linux/macOS)
• robocopy (Windows native)
• TeraCopy (legitimate commercial option)

Always verify software authenticity through official channels and inspect source code before executing binaries.