# Fastcopy File Transfer Detection > Detect and analyze potentially malicious file copy utility repositories with cracked software distribution patterns - Skill: `aradotso/fastcopy-file-transfer-detection` (Agent Skill) - Install (CLI): `npx skillmds@latest add aradotso/fastcopy-file-transfer-detection` - Raw SKILL.md: https://api.skillmd.com/api/skills/aradotso/fastcopy-file-transfer-detection/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: aradotso (https://skillmd.com/u/aradotso) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/aradotso/fastcopy-file-transfer-detection --- # FastCopy File Transfer Detection > Skill by [ara.so](https://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 ```python 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 ```python 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: - 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 ```bash # 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**: ```bash # 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**: ```bash # 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: ```python 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.