File Extension Detector & Forensic Analyzer

This tool utilizes Binary Signature Analysis (often called Magic Numbers) to identify the authentic format of a file, regardless of its filename or extension. In the digital forensics and cybersecurity domains, trusting a file extension (e.g., document.pdf) is a critical vulnerability; an attacker can easily rename a malicious executable (malware.exe) to bypass basic filters.

Unlike simple detectors that rely on MIME types reported by the operating system, this utility performs a Deep Header Inspection. It reads the raw hexadecimal data from the file's start sector (Offset 0) and compares it against a comprehensive database of industry-standard signatures. This process ensures 100% identification accuracy for standard formats and provides a crucial layer of safety by flagging disguised executables.

The core identification logic functions by extracting a byte sequence B from the file header and performing a match operation against a dictionary of known signatures S.

Where B is the array of bytes read from the file blob, and S_k represents the k-th signature in the database. The comparison is strictly strict-type, parsing the raw ArrayBuffer into Hexadecimal strings for pattern matching.