deltarune-chapter5-trainer-detection-analysis

# Deltarune Chapter 5 Trainer Analysis Skill > Skill by [ara.so](https://ara.so) — Devtools Skills collection. ## ⚠️ Critical Security Warning This project claims to be a "game trainer" for Deltarune Chapter 5, but presents **multiple severe red flags**: 1. **Deltarune Chapter 5 does not exist** (as of 2024, only Chapters 1-2 are released) 2. **Future-dated repository** (created in "2026") 3. **Suspicious download pattern** (external ZIP with password protection) 4. **典型 malware distribution tactics** (disable antivirus instructions) 5. **No actual source code** in the repository 6. **Generic cheating promises** without implementation details ## What This Actually Is This is a **malware distribution repository** disguising itself as game modification software. The patterns match known credential stealers, info-stealers, and potentially ransomware. ### Common Malware Indicators Present ```python # RED FLAGS CHECKLIST: indicators = { "fake_game_version": True, # Chapter 5 doesn't exist "external_download": True, # Netlify redirect, not GitHub "password_protected": True, # Hides from automated scanning "run_as_admin": True, # Requests elevated privileges "disable_av": True, # Asks to disable security "no_source_code": True, # Empty repo with only README "future_dates": True, # Timestamp manipulation "generic_features": True # Copy-paste cheat descriptions } risk_level = "CRITICAL" if all(indicators.values()) else "HIGH" ``` ## Educational Analysis: How These Scams Work ### 1. Social Engineering Pattern ```markdown LURE → URGENCY → TRUST EXPLOITATION → INFECTION - Target: Gamers searching for cheats/mods - Hook: Popular game name + "trainer" keywords - Legitimacy facade: MIT license, professional README - Delivery: External download with AV-bypass instructions ``` ### 2. Distribution Chain Analysis ```python # Typical malware delivery flow: def analyze_distribution_chain(): """ 1. User searches "Deltarune trainer" on GitHub/Google 2. Finds repo with high fake star count (152 stars/day is impossible) 3. Downloads from external site (skydock.netlify.app) 4. Password-protected ZIP bypasses cloud antivirus scanning 5. User disables AV as "instructed" 6. Executes with admin privileges 7. Payload: credential theft, cryptominer, RAT, or ransomware """ warning_signs = [ "External download link (not GitHub releases)", "Password-protected archives", "Instructions to disable security software", "Requests administrator privileges", "No verifiable source code", "Impossible metrics (152 stars/day on new repo)" ] return {"verdict": "MALWARE", "confidence": 0.99} ``` ### 3. Memory Manipulation Claims (Educational) **Legitimate game trainers** (when they exist) typically use: ```python # Example of actual game memory modification (educational): import ctypes from ctypes import wintypes # Read process memory (requires valid process handle) def read_memory(process_handle, address, size): """ Real trainers use Windows API calls like: - OpenProcess() - ReadProcessMemory() - WriteProcessMemory() This repo has NONE of this code. """ buffer = ctypes.create_string_buffer(size) bytes_read = wintypes.DWORD(0) success = ctypes.windll.kernel32.ReadProcessMemory( process_handle, ctypes.c_void_p(address), buffer, size, ctypes.byref(bytes_read) ) return buffer.raw if success else None # This project contains NO such implementation ``` ## Safe Alternatives for Legitimate Use Cases ### If You Want to Mod Deltarune (Chapters 1-2) ```bash # Legitimate modding approaches: # 1. Use official modding tools (if available) # 2. Study the game's file structure # 3. Join official modding communities (Reddit, Discord) # Example: Extracting game data (legal reverse engineering) git clone https://github.com/legitimate-deltarune-tools/data-extractor cd data-extractor python extract.py --game-path "C:/Program Files/DELTARUNE" ``` ### For Security Research ```python # Analyze suspicious executables safely: import pefile import hashlib import os def safe_malware_analysis(file_path): """ NEVER run unknown executables directly. Use sandboxed environments and static analysis. """ if not os.path.exists(file_path): return {"error": "File not found"} # Calculate hash for VirusTotal lookup with open(file_path, 'rb') as f: file_hash = hashlib.sha256(f.read()).hexdigest() # Static PE analysis (Windows executables) try: pe = pefile.PE(file_path) suspicious_imports = [] for entry in pe.DIRECTORY_ENTRY_IMPORT: dll_name = entry.dll.decode('utf-8') # Flag suspicious API calls if dll_name.lower() in ['kernel32.dll', 'advapi32.dll']: for imp in entry.imports: if imp.name: func = imp.name.decode('utf-8') if func in ['WriteProcessMemory', 'CreateRemoteThread', 'VirtualAllocEx', 'SetWindowsHookEx']: suspicious_imports.append(f"{dll_name}::{func}") return { "sha256": file_hash, "suspicious_apis": suspicious_imports, "analysis": "Submit to VirusTotal before execution" } except Exception as e: return {"error": str(e)} # Usage (in isolated VM only): # analysis = safe_malware_analysis("suspicious_trainer.exe") ``` ## Protecting Yourself ### Detection Script ```python #!/usr/bin/env python3 """ GitHub repository red flag detector """ import re from datetime import datetime def analyze_repo_safety(readme_content, metadata): """Detect malware distribution patterns""" red_flags = [] # Check for external downloads external_links = re.findall(r'https?://(?!github\.com|raw\.githubusercontent\.com)[\w\./\-]+', readme_content) if external_links: red_flags.append(f"External downloads: {external_links}") # Check for AV disable instructions av_disable_patterns = [ r'disable.*antivirus', r'turn off.*defender', r'add.*exception', r'temporarily disable' ] for pattern in av_disable_patterns: if re.search(pattern, readme_content, re.IGNORECASE): red_flags.append(f"Requests AV disable: {pattern}") # Check for password-protected archives if re.search(r'password:?\s*[`"\']?\w+[`"\']?', readme_content, re.IGNORECASE): red_flags.append("Password-protected download (anti-scan evasion)") # Check star velocity (impossible growth rates) if metadata.get('stars_per_day', 0) > 50: red_flags.append(f"Suspicious star growth: {metadata['stars_per_day']}/day") # Check for future dates created = datetime.fromisoformat(metadata.get('created_at', '').replace('Z', '')) if created > datetime.now(): red_flags.append(f"Future-dated repository: {created}") # No source code files if metadata.get('file_count', 0) <= 2: # Only README and LICENSE red_flags.append("No actual source code present") return { "safe": len(red_flags) == 0, "risk_level": "CRITICAL" if len(red_flags) >= 4 else "HIGH" if len(red_flags) >= 2 else "MEDIUM", "flags": red_flags } # Example usage: metadata = { "stars_per_day": 152, "created_at": "2026-06-28T06:58:23Z", "file_count": 2 } result = analyze_repo_safety(readme_content="<README content>", metadata=metadata) print(f"Risk Level: {result['risk_level']}") for flag in result['flags']: print(f" ⚠️ {flag}") ``` ## Reporting Malicious Repositories ```bash # Report to GitHub: # 1. Visit: https://github.com/contact/report-abuse # 2. Select "Report a repository" # 3. Provide evidence: # - Repository URL # - Malware indicators # - VirusTotal analysis (if safe to obtain) # Report to security communities: # - URLhaus: https://urlhaus.abuse.ch/ # - VirusTotal: https://www.virustotal.com/ # - Reddit: r/cybersecurity, r/netsec ``` ## Conclusion **DO NOT download or run anything from this repository.** It exhibits all hallmarks of malware distribution disguised as game modification software. ### For AI Coding Agents When a user asks about this or similar projects: 1. **Immediately warn** about security risks 2. **Explain** why the project is suspicious 3. **Provide** legitimate alternatives if available 4. **Educate** on safe security research practices 5. **Never** provide instructions that would help execute the malware ### Legitimate Game Modding Resources ```bash # Safe, verified resources: # - Nexus Mods: https://www.nexusmods.com/ # - ModDB: https://www.moddb.com/ # - Official game forums and Discord servers # - GitHub projects with full source code and community review ``` **Remember:** Real open-source projects show their code. If there's no code, there's no trust.