Hash Collision is an educational project designed to demonstrate the phenomenon of hash collisions—where two distinct inputs produce the identical hash value. By exploring these vulnerabilities in practical scenarios, this project aims to highlight the importance of choosing robust cryptographic algorithms for data integrity and security.
This project provides hands-on examples of hash collisions across different file types, focusing on:
- File Integrity Testing: Implementing Python scripts to calculate and compare hash values (e.g., MD5, SHA-1).
- Collision Demonstration: Presenting two pairs of files that share the same hash signature.
- Algorithmic Analysis: Investigating why certain hash functions are susceptible to collisions.
- Educational Comparison: Illustrating the difference between distinct files that result in the same digital fingerprint.
- Description: Two distinct PDF files containing different metadata that resolve to the same hash value.
- Analysis: Comparison of the binary structure and hash generation results.
- Description: Two visually manipulated images to generate an identical hash signature.
- Analysis: Demonstrating how subtle bit-level modifications can bypass integrity checks.
- Language: Python
- Main Libraries:
hashlib(for hashing),os(for file management). - Concepts: Cryptographic Hashing, Collision Vulnerabilities, Binary File Analysis, Data Integrity.
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Copyright © 2026 João Rafael.