Hashing algorithms are . They take any string and turn it into a fixed-length “fingerprint” that is . This means that if your data in your database is compromised, the hacker cannot get the user’s passwords if they were hashed well because at no point were they ever stored on the drive without being in their hashed form. one-way functions unable to be reversed Websites using hashing typically have this workflow: A user creates an account Their password is hashed and stored on the database When the user attempts to log in, the hash of their entered password is compared to the has stored in the database If the hashes match, the user can access the account. If not, a error message is sent back such as “Entered invalid credentials” so hackers can’t trace the error to the username or password specifically. generic = cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824 = f988aeb57b6fd75b9c71bf17b9658ec97823bab613df438389b0c896b724 = e2b73ac556a2f051304702da290160b29bad3392ddcc72074fefbee80c55a hash ( ) "hello" 2 hash ( ) "hellu" 3937 hash ( ) "danny" 668 Only secure, or hash functions can be used for password hashing (SHA256, SHA512, RipeMD, WHIRLPOOL, etc.) NOTE: cryptographic, Sadly, just cryptographically hashing passwords does not ensure safety. Cracking Hashes Brute Force and Dictionary Attacks The easiest way to decrypt a hash is just to guess the password. The way to do this is to guess the user password, hash the guess, and compare it to the hash of the actual password you are trying to solve. If the two hashes match, the unhashed version of the guess is the right password. A attack goes through every possible combination of characters given a certain length. Even though they will 100% crack any given password, it is difficult to use this method because of how computationally expensive it is. Some passwords that are even fairly short in length can take thousands of years (literally) to crack using brute force. brute force eventually Trying : failed 
Trying aab : failed 
Trying aac : failed . 
Trying acb : failed 
Trying acc : success! aaa .. use a file containing commonly used words, phrases, or passwords that are likely to be a used password. There are that hold the top 100,000 (or however many) most commonly used passwords. The attack hashes these passwords and compares the hash to the password to crack. For cracking the average Joe Shmo, this is sometimes a good method to use and is certainly faster than using a brute force attack. Dictionary attacks databases you can find can improve cracking performance by pre-computing the hashes so when it comes time to guess the password, the program needs not to spend compute time actually hashing the guesses. Lookup tables In the next section, we will take a look at “salting” which makes these cracking methods impossible to use reliably. Salting The reason lookup tables, dictionary attacks, and brute force attacks can work is because the passwords are hashed the same way each time. We can randomize the hash by prepending or appending a random string called a to the passwords BEFORE hashing. salt hash( ) = cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824 
hash( + ) = f7f167a978166ee23b32c9531ce5dc23ae8fc26e412045858d938d11470831f "hello" 2 "hello" "jHjdbJShdiodb" 6 The salt doesn’t have to be secret because an attacker doesn’t know what the salt will be and thus cannot make pre-computed tables for it. The Dos and Don’ts of Salting Don’t: Reuse the same salt for each password hashed Use short salts Use weird double hashes (ex: ) in lou of a salt hash(hash(hash(‘mypass’))) Do: Generate random salts using a (CSPRNG) Cryptographically Secure Pseudo-Random Number Generator Generate a new random unique salt for password hashed EACH Generate LONG salts Salting Workflow Storing a Password: Generate super long salt with a CSPRNG Prepend the salt to the user password and hash it Save the salt and the hash in the database Checking a Password: Get the salt and hash from the database Prepend the salt to the submitted password and hash it Compare the hashes. If they are equal, the password is correct Always always always (shall I add more always’??) hash . Sometimes JavaScript isn’t enabled and a hash won’t work on the client-side. Also, no one else can access the server so it is ensured to be hashed (You can hash on the client-side if you so choose) NOTE: on the server also Thanks for reading! Hash safely!

Super

Trace

Let me handle your servers

Read My Stories

Too Long; Didn't Read

Discover Saakuru: Web3 Mass-Adoption with 0-FEES

A Guide to Password Hashing: How to Keep your Database Safe

Too Long; Didn't Read

Companies Mentioned

Danny Denenberg

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

A Guide to Password Hashing: How to Keep your Database Safe

Too Long; Didn't Read

Companies Mentioned

Danny Denenberg

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

RELATED STORIES