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fastcopy-file-transfer-detection

Security & auditing

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Updated 10-16 01:12

About this skill

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' in readme_content or 'License: MIT' in readme_content
    has_license = metadata.get('license') is not None
    if claims_license and not has_license:
        indicators['license_mismatch'] = True
    
    # Check suspicious fork/star ratio
    stars = metadata.get('stars', 0)
    forks = metadata.get('forks', 0)
    if stars > 100 and forks == 0:
        indicators['artificial_stats'] = True
    
    return indicators

# Example usage
metadata = {
    "language": "HTML",
    "license": None,
    "forks": 0,
    "stars": 182
}

readme = """fastcopy-patch fastcopy-key Product Key Patch
Download: https://raunak64-bit.github.io/FastCopy-Clipper-Portable-Utility/
License: MIT"""

results = analyze_suspicious_indicators(readme, metadata)
print(f"Risk indicators detected: {sum(results.values())}/6")

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['suspicious_count'] >= 1:
        analysis['risk_level'] = 'medium'
    
    return analysis

# Example from this repository
topics = [
    "fastcopy",
    "fastcopy-download",
    "fastcopy-install",
    "fastcopy-key",
    "fastcopy-patch",
    "fastcopy-software",
    "fastcopy-trial"
]

risk = analyze_repository_topics(topics)
print(f"Risk Level: {risk['risk_level']}")
print(f"Suspicious topics: {risk['suspicious_topics']}")
# Output: Risk Level: critical
# Suspicious topics: ['fastcopy-key', 'fastcopy-patch', 'fastcopy-trial']

Legitimate FastCopy Alternative

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

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' if warning_signs else 'ALLOW'
    }
    
    return 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.