2 outputs eome from the same input What do most attacks on hash functions involve? A. Finding Collisions B. Pre-generating millions of hashes and comparing them to the plain text that generates it, C. Really good random guessing. (2 points) \( A \) and \( B \) \( A \) and \( O \) \( B \) and C

Most attacks on hash functions primarily involve finding collisions (option A), where two different inputs produce the same hash output, thereby undermining the integrity of the data. Additionally, pre-generating millions of hashes and comparing them to the plain text is a common strategy as well (option B), allowing attackers to bypass the need for guessing by using extensive pre-computed tables. When hash functions are compromised, they can allow attackers to manipulate data undetected, especially in realms like digital signatures and password storage. It's also important to note that while random guessing (option C) can be an approach, it’s generally less effective than the first two methods, as it relies heavily on chance and is computationally intensive.