Exit music for a decompiler
a neural decompiler for
The problem Exit music for a decompiler solves
🔍 For Security Researchers:
Automates reverse engineering of obfuscated malware
Identifies vulnerabilities in binaries 10x faster than manual analysis
💻 For Developers:
Explains compiled code behavior without needing assembly expertise
Validates third-party library safety before integration
🛡️ For Enterprises:
Scans critical infrastructure binaries for hidden risks
Generates compliance-ready security reports
(Example: Detects ransomware patterns in financial software binaries)
Challenges we ran into
- AI Hallucinations in Decompilation
Problem: Gemini sometimes invented fake function names
Solution: Implemented checks against known malware signatures
- Binary File Format Complexity
Problem: ELF vs. PE vs. Mach-O compatibility issues
Solution: Built adaptive file parsers with fallback modes
- Performance Bottlenecks
Problem: Large binaries (>100MB) timed out
Solution: Chunked analysis + progress streaming
- UI Clutter
Problem: Technical overwhelm for beginners
Solution: Added "Simple Mode" toggle with plain-English summaries