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A cryptographic hash function is a mathematical algorithm that transforms any input data into a fixed-size string of characters, which acts as a unique digital fingerprint. Unlike standard encryption, hashing is strictly a one-way function, meaning it is designed to be mathematically impossible to reverse engineer the original data from the output hash. Core Properties of Cryptographic Hashes

To be viable for security applications, a cryptographic hash function must satisfy several non-negotiable mathematical traits defined by bodies like the NIST Computer Security Resource Center:

Deterministic: The same exact input will always produce the same exact output hash.

Pre-image Resistance (One-Way): Given a specific hash output, it is computationally infeasible to find or reverse-engineer the original input.

Second Pre-image Resistance: Given a specific input, it is computationally infeasible to find a different input that generates the exact same hash.

Collision Resistance: It must be practically impossible to find any two unique inputs that produce identical hash outputs.

Avalanche Effect: Making a tiny change to the input (like changing a single lowercase letter to uppercase) completely changes the entire output string randomly.

Fixed Output Length: Whether the input is a single letter, a password, or an entire encyclopedia, the resulting hash length stays exactly the same. Common Hashing Algorithms

Over time, older hashing algorithms have been broken due to rising computational power and mathematical discoveries, forcing the industry to evolve. Cryptographic hash functions | IBM Quantum Learning

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