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go*: one go module for the repo, no more nested

Signed-off-by: Vincent Batts <vbatts@hashbangbash.com>
This commit is contained in:
Vincent Batts 2024-04-26 19:34:55 +00:00
parent a788e9ac95
commit 4ab3be9bc6
Signed by: vbatts
GPG key ID: E30EFAA812C6E5ED
632 changed files with 153930 additions and 133148 deletions

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vendor/github.com/pjbgf/sha1cd/README.md generated vendored Normal file
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# sha1cd
A Go implementation of SHA1 with counter-cryptanalysis, which detects
collision attacks.
The `cgo/lib` code is a carbon copy of the [original code], based on
the award winning [white paper] by Marc Stevens.
The Go implementation is largely based off Go's generic sha1.
At present no SIMD optimisations have been implemented.
## Usage
`sha1cd` can be used as a drop-in replacement for `crypto/sha1`:
```golang
import "github.com/pjbgf/sha1cd"
func test(){
data := []byte("data to be sha1 hashed")
h := sha1cd.Sum(data)
fmt.Printf("hash: %q\n", hex.EncodeToString(h))
}
```
To obtain information as to whether a collision was found, use the
func `CollisionResistantSum`.
```golang
import "github.com/pjbgf/sha1cd"
func test(){
data := []byte("data to be sha1 hashed")
h, col := sha1cd.CollisionResistantSum(data)
if col {
fmt.Println("collision found!")
}
fmt.Printf("hash: %q", hex.EncodeToString(h))
}
```
Note that the algorithm will automatically avoid collision, by
extending the SHA1 to 240-steps, instead of 80 when a collision
attempt is detected. Therefore, inputs that contains the unavoidable
bit conditions will yield a different hash from `sha1cd`, when compared
with results using `crypto/sha1`. Valid inputs will have matching the outputs.
## References
- https://shattered.io/
- https://github.com/cr-marcstevens/sha1collisiondetection
- https://csrc.nist.gov/Projects/Cryptographic-Algorithm-Validation-Program/Secure-Hashing#shavs
## Use of the Original Implementation
- https://github.com/git/git/commit/28dc98e343ca4eb370a29ceec4c19beac9b5c01e
- https://github.com/libgit2/libgit2/pull/4136
[original code]: https://github.com/cr-marcstevens/sha1collisiondetection
[white paper]: https://marc-stevens.nl/research/papers/C13-S.pdf