Projects
π Signature-Based Malware Detection System
April 2025 β May 2025
Tech Stack: TypeScript, Next.js, Hexadecimal Analysis, Static File Scanning, Local Storage
Built a client-side malware scanner capable of detecting known malware signatures across multiple file types, including .exe, .docx, .png, .mp3, .csv, .json, and more.
πΉ Designed a lightweight static analysis engine using hex-based pattern matching.
πΉ Implemented a privacy-respecting detection method with no server-side file uploads.
πΉ Developed format-aware embedding techniques to simulate realistic malware infection in benign files.
πΉ Integrated a signature database, local scan history, and severity classification logic.
πΉ Deployed via browser for accessibility and efficiency using modern web frameworks.
π Source code available on GitHub: GitHub Repo
π§ͺ Ideal for forensic analysis, educational tools, or proof-of-concept security research.