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If you expect to store user password securely, you need to do at least the following:

$pwd=hash(hash($password) + salt)

Then, you store $pwd in your system instead of the real password. I have seen some cases where $pwd contains the salt itself.

I wonder whether the salt should be stored separately, or is it OK if an attacker gets the hashed value and the salt at the same time. Why?

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    @Earlz That's not the purpose of a salt, and it's nearly impossible to keep salts hidden anyway!
    – Polynomial
    Commented Jul 20, 2012 at 15:34
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    @Earlz The second salt is called a pepper, which protects you from attackers that only have access to the database. It's useful, but since you're using parameterised queries (you are using them, right?) SQL injection isn't a problem, so that model of attacker is much less likely.
    – Polynomial
    Commented Jul 20, 2012 at 15:58
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    Forgive my ignorance, but is it really necessary to hash the password before adding the salt? If you have a good hashing algorithm, it shouldn't make a difference, right? Commented Jul 20, 2012 at 16:07
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    @X-Zero There should be no difference at all, and it makes things more awkward when using an adaptive KDF.
    – Polynomial
    Commented Jul 20, 2012 at 22:55
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    @matejkramny That's exactly equivalent to just using the username as the salt, and bad for the same reason: if the attacker knows a username they want to break into, they can just precompute the hashes for that username. Including the password in the salt doesn't change a thing. To stop them from precomputing hashes, the salt should be stored in the database, so they can't get it before getting the hashes themselves, which means they need a lot of time to break the hashes after they compromise the database, which gives you a chance to change passwords before they get access.
    – cpast
    Commented Feb 4, 2014 at 18:36

7 Answers 7

877

TL;DR - You can store the salt in plaintext without any form of obfuscation or encryption, but don't just give it out to anyone who wants it.


The reason we use salts is to stop precomputation attacks, such as rainbow tables. These attacks involve creating a database of hashes and their plaintexts, so that hashes can be searched for and immediately reversed into plaintext.

For example*:

86f7e437faa5a7fce15d1ddcb9eaeaea377667b8 a
e9d71f5ee7c92d6dc9e92ffdad17b8bd49418f98 b
84a516841ba77a5b4648de2cd0dfcb30ea46dbb4 c
...
948291f2d6da8e32b007d5270a0a5d094a455a02 ZZZZZX
151bfc7ba4995bfa22c723ebe7921b6ddc6961bc ZZZZZY
18f30f1ba4c62e2b460e693306b39a0de27d747c ZZZZZZ

Most tables also include a list of common passwords:

5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8 password
e38ad214943daad1d64c102faec29de4afe9da3d password1
b7a875fc1ea228b9061041b7cec4bd3c52ab3ce3 letmein
5cec175b165e3d5e62c9e13ce848ef6feac81bff qwerty123

*I'm using SHA-1 here as an example, but I'll explain why this is a bad idea later.

So, if my password hash is 9272d183efd235a6803f595e19616c348c275055, it would be exceedingly easy to search for it in a database and find out that the plaintext is bacon4. So, instead of spending a few hours cracking the hash (ok, in this case it'd be a few minutes on a decent GPU, but we'll talk about this later) you get the result instantly.

Obviously this is bad for security! So, we use a salt. A salt is a random unique token stored with each password. Let's say the salt is 5aP3v*4!1bN<x4i&3 and the hash is 9537340ced96de413e8534b542f38089c65edff3. Now your database of passwords is useless, because nobody has rainbow tables that include that hash. It's computationally infeasible to generate rainbow tables for every possible salt.

So now we've forced the bad guys to start cracking the hashes again. In this case, it'd be pretty easy to crack since I used a bad password, but it's still better than him being able to look it up in a tenth of a second!

Now, since the goal of the salt is only to prevent pre-generated databases from being created, it doesn't need to be encrypted or obscured in the database. You can store it in plaintext. The goal is to force the attacker to have to crack the hashes once he gets the database, instead of being able to just look them all up in a rainbow table.

However, there is one caveat. If the attacker can quietly access a salt before breaking into your database, e.g. through some script that offers the salt to anyone who asks for it, he can produce a rainbow table for that salt as easily as he could if there wasn't one. This means that he could silently take your admin account's salt and produce a nice big rainbow table, then hack into your database and immediately log in as an admin. This gives you no time to spot that a breach has occurred, and no time to take action to prevent damage, e.g. change the admin password / lock privileged accounts. This doesn't mean you should obscure your salts or attempt to encrypt them, it just means you should design your system such that the only way they can get at the salts is by breaking into the database.

One other idea to consider is a pepper. A pepper is a second salt which is constant between individual passwords, but not stored in the database. We might implement it as H(salt + password + pepper), or KDF(password + pepper, salt) for a key-derivation function - we'll talk about those later. Such a value might be stored in the code. This means that the attacker has to have access to both the database and the sourcecode (or webapp binaries in the case of ASP .NET, CGI, etc.) in order to attempt to crack the hashes. This idea should only be used to supplement other security measures. A pepper is useful when you're worried about SQL injection attacks, where the attacker only has access to the database, but this model is (slowly) becoming less common as people move to parameterized queries. You are using parameterized queries, right? Some argue that a pepper constitutes security through obscurity, since you're only obscuring the pepper, which is somewhat true, but it's not to say that the idea is without merit.

Now we're at a situation where the attacker can brute-force each individual password hash, but can no longer search for all the hashes in a rainbow table and recover plaintext passwords immediately. So, how do we prevent brute-force attacks now?

Modern graphics cards include GPUs with hundreds of cores. Each core is very good at mathematics, but not very good at decision making. It can perform billions of calculations per second, but it's pretty awful at doing operations that require complex branching. Cryptographic hash algorithms fit into the first type of computation. As such, frameworks such as OpenCL and CUDA can be leveraged in order to massively accelerate the operation of hash algorithms. Run oclHashcat with a decent graphics card and you can compute an excess of 10,000,000,000 MD5 hashes per second. SHA-1 isn't much slower, either. There are people out there with dedicated GPU cracking rigs containing 6 or more top-end graphics cards, resulting in a cracking rate of over 50 billion hashes per second for MD5. Let me put that in context: such a system can brute force an 8 character alphanumeric password in less than 4 minutes.

Clearly hashes like MD5 and SHA-1 are way too fast for this kind of situation. One approach to this is to perform thousands of iterations of a cryptographic hash algorithm:

hash = H(H(H(H(H(H(H(H(H(H(H(H(H(H(H(...H(password + salt) + salt) + salt) ... )

This slows down the hash computation, but isn't perfect. Some advocate using SHA-2 family hashes, but this doesn't provide much extra security. A more solid approach is to use a key derivation function with a work factor. These functions take a password, a salt and a work factor. The work factor is a way to scale the speed of the algorithm against your hardware and security requirements:

hash = KDF(password, salt, workFactor)

The two most popular KDFs are PBKDF2 and bcrypt. PBKDF2 works by performing iterations of a keyed HMAC (though it can use block ciphers) and bcrypt works by computing and combining a large number of ciphertext blocks from the Blowfish block cipher. Both do roughly the same job. A newer variant of bcrypt called scrypt works on the same principle, but introduces a memory-hard operation that makes cracking on GPUs and FPGA-farms completely infeasible, due to memory bandwidth restrictions.


Update: As of January 2017, the state-of-the-art hashing algorithm of choice is Argon2, which won the Password Hashing Competition.


Hopefully this gives you a nice overview of the problems we face when storing passwords, and answers your question about salt storage. I highly recommend checking out the "links of interest" at the bottom of Jacco's answer for further reading, as well as these links:

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    +1, Amen. I whish we where able to create an index/directory that points to the good answers to common/popular questions such this one. Even more so, because the common/popular questions regulary also attract quite insecure answers.
    – Jacco
    Commented Jul 21, 2012 at 9:04
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    @Polynomial maybe also add a link to stackoverflow.com/questions/1645161/… ?
    – Jacco
    Commented Oct 26, 2012 at 12:14
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    Just for emphasis: Make sure you use a different salt for each password! If you use the same salt for every password, the computational complexity of the brute force algorithm is significantly reduced. Furthermore, an attacker could see which users use the same password just by comparing the hashes, which could have a deanonymizing effect on users who reuse passwords across multiple accounts. Commented Jun 15, 2016 at 15:06
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    Really good answer. But you still didn't answer the question "where do I store the random salt"? You need that random salt to check if the entered password is correct... am I wrong? Commented Jan 9, 2018 at 21:18
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    –1 — too much text, and doesn't actually answer the question on where to store salt (although I stopped reading midway due to the text being irrelevant to the actual question)
    – cnst
    Commented May 23, 2019 at 7:37
102

A salt is not meant to be secret, instead, a salt 'works' by making sure the hash result unique to each used instance. This is done by picking a different random salt value for each computed hash.

The intention of the salt is not compromised when it is known; the attacker still needs to attack each hash separately. Therefore, you can simply store the salt alongside the hashed password.

Links of interest:
How to securely hash passwords?
Password Hashing add salt + pepper or is salt enough?
Salt Generation and open source software

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    Keep in mind that if the salt is leaked (e.g. through a flaw in your code) the attacker can build a rainbow table for that salt ahead of time. This makes it difficult for you to take preventative measures if someone steals your hashes later, because they can immediately crack the password (they already have the rainbow table!) and access the account.
    – Polynomial
    Commented Jul 20, 2012 at 7:51
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    @Polynomial You made a very good point. Perhaps you would like to write an answer that covers what you have stated? I'd certainly upvote it, and it is much easier to read that way.
    – user10211
    Commented Jul 20, 2012 at 13:17
  • @Terry Chia: Prepending is more common. Commented Jul 20, 2012 at 13:41
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    Alongside the hashed, salted, password.
    – Zack
    Commented Jun 28, 2017 at 19:09
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    @Polynomial where do you store the salt then? It seems if the attacker finds the salt they can break into the database? Commented Jan 9, 2018 at 21:19
47

The salt can and should be stored right next to the salted and hashed password. Additionally, the salt should be unique per password.

Its purpose is to make it unfeasible to attack a leaked password database by using precomputed tables of password-hash-pairs.

That works because the salt only becomes known to the attacker as soon as he gets the actual (hardened) passwords; thereby rendering any precomputed attack impossible. (If you don't use a unique salt per password, but a global one, precomputed tables might still be used - although they would have to be precomputed specifically for your application's salt.)

When you store the salt somewhere else than right next to the password, you might gain some additional security, but it almost defeats the purpose: Every time you want to validate a password, you need both the salt and the hashed password, so they have to be very "close" (in an arichtectural sense) anyway.

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18

Storing your salts separately offers some extra security, but not much - after all, the database should be the best protected place of the application, so if the attacker has access to the database, chances are he has access to any other data. On the other hand, you need a different salt for each user, which means you need a lot of salt - it is just not feasible to store it outside the database.

There is a practice of using a second piece of salt (sometimes called pepper) which is the same for all users, and storing it outside the database (maybe in an environment variable, or some sort of configuration file), so the attacker does not get access to it with a simple SQL injection. This adds some security, but as said above, don't expect too much from it, and use bcrypt or some other slow hashing method to defend against stolen salts.

6

I'd like to turn your attention to an interesting article on this of the title Storing Passwords Securely

TL;DR

The author in the article explains salting and pepper. Also, he/she argues that actually you do not want to use a cryptography hashing function for storing passwords. The two main traits of a hash are that

  1. it should be one-way and.
  2. it should be cheap to compute.

Obviouslty these requirements go against each other. So a compromise is made. You do not want the attacker to be able to compute their brute-force tries cheaply. Therefore, for better security, you actually need a Key Derivation Function, something that is one-way and which takes longer to compute (eg. 0.1 s).

There are schemes/implementations how to do this, so called Adaptive Key Derivation Functions that are well studied and deemed secure (author names three: PBKDF2, bcrypt, scrypt)

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    At this point your answer hasn't really bought anything to the table, so you should probably have just linked the article in a comment. It's a nice article though - very thorough and covers all the bases. I'll keep a bookmark for future reference!
    – Polynomial
    Commented Jul 20, 2012 at 16:01
  • Nice article! As far as I know, PBKDF2 is an Adaptive Key Derivation Function, but BCrypt and SCrypt are not; they are adaptive cost hashing algorithms. (The difference is subtle, but real).
    – Jacco
    Commented Jul 21, 2012 at 8:56
  • Polynomial: You are right. I was so eager to post the article (I had it in my bookmarks and got excited that its time finally came) that I just skimmed over your answer and completely missed the last paragraph. Sorry
    – user7610
    Commented Sep 12, 2012 at 13:28
1

I have seen PBKDF2 from many companies. And they are normally formed like $variant$cost factor$22 character salt$31 character hash as @Kat commented. So they are just stored in one place.

Salt and Password can be stored together because every random salt is different and that makes attacker to brute force each password. So rainbow table also need to be created again for each salt. Same password need to be brute forced each time as well.

Hashing password is just small part of security. Every service should ask users to change their password every year or few month. Or every service should use OAuth 2.0. And best practice is using the service that is already providing best security.

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Well you do separate hash from salt in two different boxes - I hope you understand the correct answer. And make sure you have same amount of both, like 256bit salt, 256bit hash, you can increase security if using simple isolated salt server.

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    Why store hash and salt in different places? Commented Jul 20, 2012 at 20:52
  • See e.g. security.stackexchange.com/a/17449/5501 Commented Jul 20, 2012 at 20:54
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    -1 'a 256bit hash' does not buy you anything of weight here. The algorithm needt to be slow. Separating the hash and salt acros different boxes, creates a whole new range of issues, just stick with the best practice instead.
    – Jacco
    Commented Jul 21, 2012 at 8:51

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