sha1collisiondetection
smhasher
sha1collisiondetection | smhasher | |
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7 | 30 | |
1,291 | 1,695 | |
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0.0 | 7.1 | |
15 days ago | 2 months ago | |
C | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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sha1collisiondetection
- ScrapScript: In-Development Language with Some Cool Features (Not Mine)
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Is it ever possible for 2 commits to have the same hash?
It's far more likely that somebody would try to artificially create a collision. There is code in git to try to detect this https://github.com/cr-marcstevens/sha1collisiondetection
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C compiler in .NET
First milestone is to be able to compile this code https://github.com/cr-marcstevens/sha1collisiondetection/ using Cesium.
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Hash collisions and exploitations – Instant MD5 collision
For sha1, people made a system where you can detect the patterns that lead to a collision, and (for example) replace it with a different hash only for inputs that would be a problem. https://github.com/cr-marcstevens/sha1collisiondetection i think git does this to eek more life out of sha1.
I imagine you could take a similar counter-cryptnalysis approach to md5. (I am out of my depth here, so there could be reasons this doesnt work for md5 im unaware of)
- Library and command line tool to detect SHA-1 collisions (2017)
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Apart from using exec.Command, is there a better way to check version of any external system app in /usr/local/bin like fzf or nodejs using go?
I'm saying that Git is on my side of opinion, that's why Git added collision detection (hardened SHA1) and added support for more stronger hashes and Git's goal is transition out of SHA1. The same is with fossil, that added hardened SHA1 since 2017 and by default uses SHA3 for new repositories.
- SHA-1 'Fully and Practically Broken' by New Collision
smhasher
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GxHash - A new (extremely) fast and robust hashing algorithm 🚀
The algorithm passes all SMHasher quality tests and uses rounds of AES block cipher internally, so it is quite robust! For comparison XxH3, t1ha0 and many others don't pass SMHasher (while being slower).
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The PolymurHash universal hash function
Confirmed, I tested it. https://github.com/rurban/smhasher
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Show HN: Discohash – simply, quality, fast hash
There's lots of great hash functions out there: some are super fast, like xxhash and highly optimized, others are also super fast umash and based on interesting math ideas from finite fields^1, while maintaining high quality (according to SMHasher). Others are also fast and interesting (tabulation hash, that may sometimes be seemingly universal), one of the main originators of those ideas are Mikkel Thorup^2. Anyway, a couple of years ago I also tried my hand at building hashes and created a few that passed SMHasher (tifuhash ~ a floating point hash, beamsplitter - a seemingly-universal tabulation style hash, and this one discohash - a "more traditional" ARX-based design (addition rotation xor)^3 ).
0: https://github.com/rurban/smhasher/blob/master/xxh3.h
1: https://pvk.ca/Blog/2022/12/29/fixing-hashing-modulo-alpha-e...
2: https://arxiv.org/abs/1505.01523
3: https://eprint.iacr.org/2018/898.pdf https://crypto.polito.it/content/download/480/2850/file/docu...
4: https://en.wikipedia.org/wiki/BLAKE_(hash_function)
Discohash (posted here) is the fastest one I made, it's simple and doesn't rely on any arch-specific optimizations or vector instructions (AVX etc ~ tho I suppose...they could be added? I'm definitely no expert in them, I barely get away with doing the C/C++ implementations!)
The main mixing round function is:
mix(const int A) {
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A Vulnerability in Implementations of SHA-3, Shake, EdDSA
ubsan, asan, valgrind tests are missing. some do offer symbolic verification of the algo, but not the implementations.
See my https://github.com/rurban/smhasher#crypto paragraph, and
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Academic Urban Legends
The spinach story reminds me a lot on the false recommendation of siphash for hash table DDOS prevention. https://github.com/rurban/smhasher#security
The authors came up in their widely cited paper with a proper solution to spread the random hash seed into the inner loop, vastly enhancing its security by avoiding trivial hash collision attacks. But a secure, slow hash function can never prevent from normal hash seed attacks, when the random seed is known somehow. esp. with dynamic languages it's trivial to get the seed externally.
Other trivial countermeasures must be used then, which also don't make hash tables 10x slower, keeping them practical.
- SHA-1 is out. NIST recommends switching to the SHA-2 and SHA-3 groups of hash algorithms as soon as possible, with an official deadline of Dec. 31, 2030.
- Adventures in Advent of Code
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New ScyllaDB Go Driver: Faster Than GoCQL and Its Rust Counterpart
This is the best, most comprehensive hash test suite I know of: https://github.com/rurban/smhasher/
you might want to particularly look into murmur, spooky, and metrohash. I'm not exactly sure of what the tradeoffs involved are, or what your need is, but that site should serve as a good starting point at least.
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What do you typically use for non-cryptographic hash functions?
Here is a good comparison table, as you can see, BLAKE can perform in secure way much faster than crc32, so my original point, - to use non weak hashes unless you really have a reason/requirement not to do so
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What hash function you use for hash maps / hash tables?
smhasher is a great place to testing results for a massive number of hash algorithms.
What are some alternatives?
pocorgtfo - a "Proof of Concept or GTFO" mirror with an extensive index with also whole issues or individual articles as clean PDFs.
xxHash - Extremely fast non-cryptographic hash algorithm
collisions - Hash collisions and exploitations
wyhash - The FASTEST QUALITY hash function, random number generators (PRNG) and hash map.
OrangeC - OrangeC Compiler And Tool Chain
BLAKE3 - the official Rust and C implementations of the BLAKE3 cryptographic hash function
Hashids.java - Hashids algorithm v1.0.0 implementation in Java
png-decoder - A pure-Rust, no_std compatible PNG decoder
rustls - A modern TLS library in Rust
Halide - a language for fast, portable data-parallel computation
wuffs - Wrangling Untrusted File Formats Safely
aHash - aHash is a non-cryptographic hashing algorithm that uses the AES hardware instruction