'Hashing, Salting, and Verifying Passwords in NodeJS, Python, Golang, and Java' authentication authorization
Since the computed hash + salt doesn’t match the one in the database, we reject this password. If Alice was to enter her correct password , it would indeed generate the same hash + salt as the one in the database, verifying her identity.Even after salting, the issue of brute force attacks still remains. An attacker could repeatedly guess different passwords to see which one matches the leaked hash.
If a user uses a random and long enough password, the chances of the attacker guessing that exact string reduces. This means they have to crunch through more guesses which will take more time.The slower and more computationally expensive the hashing function, the more time it would take to validate each guess. As of this writing , the recommended hashing technique is to usewith a minimum configuration of 15 MiB of memory, an iteration count of 2, and 1 degree of parallelism.
As computational power increases, recommended hashing techniques change as well. Even if the algorithm remains the same, the recommended number of “rounds” / amount of “work” that should be done per password hash may increase.
If you run the above program, it will produce a different hash each time since the salt is regenerated each time.package main import type params struct { memory uint32 iterations uint32 parallelism uint8 saltLength uint32 keyLength uint32 } func main { p :=¶ms{ memory: 64 * 1024, // 64 MB iterations: 3, parallelism: 1, saltLength: 16, keyLength: 32, } encodedHash, err :=generateHashFromPassword if err !=nil { log.Fatal } fmt.Println fmt.
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