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Understanding CRC32 Hash Collisions: A Deep Dive into Seed Behavior

Автор: vlogize

Загружено: 2025-10-07

Просмотров: 4

Описание: Explore the phenomenon of `CRC32 hash collisions` on short strings and delve into the mechanics of why certain seeds yield consistent results.
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This video is based on the question https://stackoverflow.com/q/64081720/ asked by the user 'Tomilov Anatoliy' ( https://stackoverflow.com/u/1430927/ ) and on the answer https://stackoverflow.com/a/64081827/ provided by the user 'supercat' ( https://stackoverflow.com/u/363751/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: CRC32 hash collision on the same string for any seed

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding CRC32 Hash Collisions: A Deep Dive into Seed Behavior

In the world of computing, hash functions play an essential role in data integrity and verification. One hash function that has sparked immense interest is CRC32, particularly when zeroing in on specific behaviors—like collisions. A developer recently delved into investigating hash collisions for short strings composed of lowercase letters using the SSE 4.2 CRC32 method. The findings raise interesting questions about how seeds influence the results of the CRC32 computation.

The Problem of Collision with CRC32

When hashing, the collision occurs when two distinct inputs produce the same output. For lengths 4, 5, and 6, the developer found that collisions didn’t occur for small seed values. However, the challenge arose when examining strings of length 7 and specific pairs of strings (like abfcmbk and baabaaa), where a collision happened regardless of the seed used.

[[See Video to Reveal this Text or Code Snippet]]

The intriguing puzzle that emerges from this scenario is simple yet complex: How can such consistent collision behavior for these specific strings be explained?

Exploring the Mechanics of CRC32 and Hashing

In CRC32 hashing, when we calculate CRC(seed, dat), we derive a hash value from the given data input (dat) using a specified seed. Here’s a breakdown of the process:

Basic XOR Principle: The core insight is that by using an XOR operation, we can relate outputs for different seeds:

Given two seeds, seed1 and seed2, and matching data pairs (dat1, dat2):

If we know CRC(seed1, dat1), we can derive CRC(seed2, dat1) as follows:

[[See Video to Reveal this Text or Code Snippet]]

Repetitive Patterns in Hashing:

If CRC(seed1, dat1a) equals CRC(seed1, dat1b) for any seed1, this implies consistency between dat1a and dat1b for all seeds:

[[See Video to Reveal this Text or Code Snippet]]

Implication of Findings: The notion established here is that if two formatted data inputs yield identical CRC results for any seed, the relationship holds true across all seeds, further supporting consistent collision, especially in specific string cases like abfcmbk and baabaaa.

Conclusion

The collision phenomenon witnessed with CRC32 when using specific seeds showcases a fascinating interplay in hashing mechanics. For developers working with CRC32, understanding the underlying principles of how seeds affect the hash output can lead to deeper insights and optimizations in applications that rely on hashing for data integrity.

Whenever you hash data with CRC32, it's crucial to recognize the role of your chosen seed—this can drastically influence your results and unveil consistent behavior that might be pattern-based rather than random.

To better comprehend this subject, programmers are encouraged to experiment with different seed values and strings. Share your findings, as these collaborative discussions often lead to even more remarkable discoveries in the realm of hashing!

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