What is the Difference between a Hash and MAC (Message Authentication code)?

The main difference is conceptual: while hashes are used to guarantee the integrity of data, a MAC guarantees integrity AND authentication. This means that a hashcode is blindly generated from the message without any kind of external input: what you obtain is something that can be used to check if the message got any alteration … Read more

Generating the SHA hash of a string using golang

An example : import ( “crypto/sha1” “encoding/base64” ) func (ms *MapServer) storee(bv []byte) { hasher := sha1.New() hasher.Write(bv) sha := base64.URLEncoding.EncodeToString(hasher.Sum(nil)) … } In this example I make a sha from a byte array. You can get the byte array using bv := []byte(myPassword) Of course you don’t need to encode it in base64 if … Read more

MurmurHash – what is it?

Murmur is a family of good general purpose hashing functions, suitable for non-cryptographic usage. As stated by Austin Appleby, MurmurHash provides the following benefits: simple (in term of number of generated assembly instructions). good distribution (passing chi-squared tests for practically all keysets & bucket sizes. good avalanche behavior (max bias of 0.5%). good collision resistance … Read more

Can two different strings generate the same MD5 hash code?

For a set of even billions of assets, the chances of random collisions are negligibly small — nothing that you should worry about. Considering the birthday paradox, given a set of 2^64 (or 18,446,744,073,709,551,616) assets, the probability of a single MD5 collision within this set is 50%. At this scale, you’d probably beat Google in … Read more

Is there an MD5 Fixed Point where md5(x) == x?

Since an MD5 sum is 128 bits long, any fixed point would necessarily also have to be 128 bits long. Assuming that the MD5 sum of any string is uniformly distributed over all possible sums, then the probability that any given 128-bit string is a fixed point is 1/2128. Thus, the probability that no 128-bit … Read more

Meaning of Open hashing and Closed hashing

The use of “closed” vs. “open” reflects whether or not we are locked in to using a certain position or data structure (this is an extremely vague description, but hopefully the rest helps). For instance, the “open” in “open addressing” tells us the index (aka. address) at which an object will be stored in the … Read more

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