How to decrypt MD5 Password in NHibernate mapping? - fluent-nhibernate

Is there a way to do this?
In my mapping class, I want to decrypt a MD5 password when I fetch my database data into entities. Is this possible?
Thank you!

MD5 can be used to encrypt passwords. MD5 is considered as a broken. What you do is you hash the password with MD5 and compare it with the original hash value in the database. Since MD5 is one way, if the passwords are same, hash value is same.
Edit:
If you are looking for cracking MD5 encrypted passwords, That is something different. Take a look at this
You mist first understand that this is not technology specific. These are basic computer science generic concepts which can be used implemented using various technologies. In you case C# and NHibernate etc.
To be simple, what you are doing with MD5(Message-Digest algorithm 5) is, you do hashing. because it is a hashing function. take a look at this.
But this MD5 is a one way hash function. "one way" means that it's nearly impossible to derive the original text from the string. That is why it is used for password encryption. Because you can not reverse a one way function and get the actual password. Take a look at this as well.
I assume that you want to check weather the inserted password is correct and allow log-in or do what ever necessary. You should not be doing decryption a password. If you are not going to crack a password. Password cracking is more of a guessing and scope can be reduced using the weaknesses of implemented methodologies(In MD5 hashing collisions).
In password creation, you take the password and you hash it using MD5(in your case).Then this hash value is what you are going to store in a database. Then next time you want to check weather the password is correct. Then you again take the password and you again hash it using MD5. then you take that hash value and compare it with the hash value in the database. If they match inserted password is correct.
I can see that you are new to SO. What I recommend is that you better learn these concepts first and the these concepts will help you irrespective of what technology you use.

You might as well ask if you can turn a pile of ashes back into the log before it was burned. Hashing is a one way action... you cannot "reverse" it. The only thing you could do is determine some source values that generate the same hash (hash collision).

Related

Is it more secure to salt a string with a hash of itself?

So I've been looking at hashing passwords in vb.net and came across this thread (https://security.stackexchange.com/questions/17421/how-to-store-salt/17435#17435) and it showed about the salt only increasing the time to make brute force attack if the salt is known to the intruder as they need to make a new rainbow table. Could this be made more secure by making the salt a hash of the plaintext?
As an example to hash "plaintext" but adding a salt the string, this salt then being a hash of "plaintext" making "32nfdw213123" as example then hashing the total "plaintext32nfdw213123". In this case the salt is different for every value used but when used for verification doing the same process to a correct check string should produce the same salt and therefore the same hash value and verify. Is this actually more secure?
Thanks
TLDR: not really.
Longer answer:
Let's say some baddie has your database with all the passwords in it. He can now start brute-forcing passwords. Your goal is trying to make the brute-forcing as hard as possible.
So, theoretically, given that he has your database, he probably also knows how you're hashing your passwords (remember that security through obscurity is a bad form of defense). Your salts are no longer random, so our baddie can create a new rainbow table.

Convert passwords with sha256 to sha256 + salt

I have big database with user and passwords in sha256 hash. Now I write new version and I want to use sha256+salt. Is there a way to convert same passwords with sha256 to sha256+salt and have no trouble with login?
Surely it is a good idea to make your password hashes more safe, but using a salted SHA-256 is the wrong way to go.
Best practise is to use a password hash function with a cost factor, which allows to control the necessary time to calculate a hash. Good algorithms are BCrypt, SCrypt, Argon2 and PBKDF2. In another answer I tried to explain how the switch to a new algorithm could be done.
The problem with the fast hashes like SHA-256 is the unbelievable speed of GPUs, one can brute-force about 3 Giga SHA-256 per second with affordable hardware.
The way to salt and hash a password is to take the plaintext password, add the salt to it and THEN hash it. When you have an existing password database already sha256-hashed you don't have the plaintext passwords, and you can't easily get them back in plaintext once hashed (which is a good thing).
What you could do instead would be to take the passwords in their current form, sha256 hashed, add the salt and then hash them a second time - or better: many times, with better hashing algorithms.
The function to verify the password would then repeat those steps to check that the password is correct. Assuming the second hash is just sha256-hashing once to make the example clearer, though it's not sufficiently secure:
step1 = sha256(plaintext_password)
password = sha256(step1 + salt)
If you really want to avoid working on top of your existing hash you could create a new table of users where you process passwords in the new way from the beginning, and then gradually migrate user's passwords over to the new table as they log in with their plaintext passwords, and remove them from the old table.
A third solution could be to deactivate all the old accounts and require them to change their passwords before they can sign in again, via fx. e-mailing them a link to change their passwords.
Makes sense?
That said you will get more qualified answers at https://security.stackexchange.com . For instance I just found this question on why salt->sha256 hashing once is insufficiently secure, and another one here on how to process passwords for more secure storage.

Can someone explain how to do password hashing + salting

I've read on SO (and from other websites found on Google after I tried to look into it a little bit more) that the correct secure way to store passwords in a database is to store the hashed + salted value of a password. On top of that, the salt should be different for each user so hackers can't do harm even if they have the encrypted values.
I'm not quite sure what salting means. From my understanding, you hash the password, then you use another value that you hash (the salt) and combine those two together so the algorithm to retrieve the original password is different for every user.
So basically, what I'd have to do is hash a password, then use a different hash on a different value for each user (ie: the user name or email address) and then I can do a simple math operation on those two values to get the encoded password.
Is that correct or did I just not understand anything about password hashing + salting?
A simple explanation or example would prove to be helpful as the sites I've found don't quite explain clearly what salting a password is.
Edit: After reading comments and answers left so far, I understand that I didn't really understand what a salt was because I'm missing some key concepts and I was making false assumption.
What I'd like to know is: how do you consistently get the same salt if it is randomly-generated? If the salt is stored in the database like some people have mentioned, then I can see how you keep getting the same salt, but that brings another question: How does it make the passwords more secure if anyone with access to the database have access to the salt? Couldn't they just append the (known) salt to all the passwords they try and the result would be the same (bar some minor time loss) than not having one at all?
Let me try and clarify a little bit with a somewhat oversimplified example. (md5() is used for example purposes only - you should not use it in practice.)
A salt is just a random string of characters that is appended to the password before it is hashed. Let's say you have the password letmein, and you hash it like this...
echo md5('letmein')
...you'll get the output 0d107d09f5bbe40cade3de5c71e9e9b7. If you google this, you'll get a number of pages telling you that this is the MD5 hash for letmein. A salt is intended to help prevent this sort of thing.
Let's suppose you have a function, randomStringGenerator() that generates a random $x-character string. To use it to salt a password, you'd do something like this:
$password = 'letmein';
$salt = randomStringGenerator(64); //let's pretend this is 747B517C80567D86906CD28443B992209B8EC601A74A2D18E5E80070703C5F49
$hash = md5($password . $salt);
You'd be then performing md5(letmein747B517C80567D86906CD28443B992209B8EC601A74A2D18E5E80070703C5F49), which returns af7cbbc1eacf780e70344af1a4b16698, which can't be "looked up" as easily as letmein without a salt.
You'd then store BOTH the hash and the salt, and when the user types in their password to log in, you'd repeat the process above and see if the password the user entered with the stored salt appended hashes to the same thing as the stored hash.
However! Since general hashing algorithms like MD5 and SHA2 are so fast, you shouldn't use them for storing passwords. Check out phpass for a PHP implementation of bcrypt.
Hope that helps!
One uses a salt to avoid the attacker creating a rainbow table, e.g. a table containing all (usual) passwords and the corresponding hashes, sorted (or somehow easily accessible) by hash. If the attacker has such a table or can create it, and then gets your password database with unsalted hashes, he can easily look up the passwords, even for all of your users at once.
If the hashes are salted (and the attacker gets the salt with the hashes), he will still be able to do the same attack (with only slightly more work to input the salt) - but now this work of building a rainbow table is useless for the next hash with another salt, which means this will need to be done for each user again. This alone is the goal of the salt. A dictionary attack on your single account still needs the same time as before, just the rainbow table is useless. (To do something against the dictionary attack, see below.)
How exactly the salt is used depends on the algorithm in use. Some hash algorithms (for example bcrypt, which is specially made for password hashing) have a special salt input parameter (or generate the salt themselves and include it in the output):
H = bcrypt(password, hardness) or H = bcrypt(salt, password, hardness)
(The first variant generates the salt itself, while the second takes it from the outside. Both include the hash and the hardness parameter in the output.)
Others need to be used in some special mode to use the salt.
A simple variant which works for most hash algorithms would be using HMAC, with the salt as "message" input, the password as key:
HMAC(password, salt) = Hash(password ⊕ opad || Hash(ipad ⊕ password || salt) )
where opad and ipad are some constant padding values.
Then you store the salt together with the hash. (For a slightly higher barrier, you could store the hash in another location than the salt. But you will still need both for login.) For login, you then will give the password and the stored salt to your hash function, and compare the result with the stored hash. (Most bcrypt libraries have a "password verification" function build in, which do this.)
For password storage it is important to use a slow hash algorithm, not a fast one, to avoid (or really: slow down) brute force or dictionary attacks on the passwords, as most people will have quite short passwords. bcrypt is an algorithm which was made just for this goal (its slowness is adaptable by a parameter).
If you use a fast hash function, be sure to repeat it often enough to be slow again. (But better, really: use bcrypt.)
Although #Chris and #Pualo have very good answers. I wanted to add one more thing about salting passwords that hasn't been expressed.
Salting a password is not a real protection mechanism. It doesn't matter if you are using bcrypt or any other mechanism. It is simply a delaying tactic, nothing more.
By using a different salt value per password you are forcing the hacker to create a rainbow table per password in order to crack them. This increases the amount of time it takes, but by no means does it make it impossible. Bear in mind that with cloud based computing you can spin up a large number of machines to create the rainbow tables and you can see that the delay is pretty small.
Further, most of the zombie machines out there are available for rent...
That said, the reason why you go through the trouble is to buy time. Time to notice that you've been breached, repair it and inform your users of the breach. That's it.
If an attacker obtained enough access to your database to pull the list of passwords, then it is pretty much guaranteed that they've obtained everything else. So, by this point you've already lost everything. The only question is how long does it take you to plug the hole, reset everyone's password and tell them that they should reset the passwords on any other account they may have where they used the same one. If you're Sony, then this time is apparently measured in months, if not years... ;) Try to be a little faster than that.
So, although it is the responsible thing to do it is only one part of your defensive tool belt. If you've been breached then you can bet those usernames and passwords will show up on a site somewhere at some point in the near future. Hopefully before then you've already cleaned up your house.
Using salt prevent precomputed rainbow-tables usage, as an example if a user use "Password" as a password, MD5("Password"), SHA1("Password"), or WhatEver("Password") may be well-known results stored in some rainbow tables.
If you use a different salt value per person - called a nonce - you'll get MD5(HMAC("Password","RandomSaltValue")), SHA1("Password","AnotherRandomSaltValue"), ... that mean two different hashed password values for the same initial password.
Now the question about storing these salts value...i think they can be stored into the database, the idea of salts are to prevent rainbow-style attack, not the database compromised issue.
Although bcrypt slows the process significantly down, it still would probably be feasible to attack your scheme if lots of computations can be made in parallel. I know it's unlikely and this would have to be a quite resourceful attacker indeed, but let's imagine the site you protect would contain photos and documents from Area 51 :) In that case, given enough parallelization, you could still be in trouble even if using bcrypt.
That's why I like the approach of scrypt - not only does it involve computational cost, but also it imposes memory constraints, specifically to introduce cost in terms of space and to make these kinds of parallel attacks infeasible. I can only recommend reading the paper that is linked on that site, it illustrates the concept really well.
Although, it seems that bcrypt and even more scrypt seem to get less attention in terms of cryptanalysis than PBKDF2outlined in RSA's PKCS#5. See this discussion for details.
I'd say first of all that security is very hard to do right, and that you really should rely on existing libraries to do as much as possible for you. For basic operations like password storage and validation that's definitely true.
EDIT: Removed erroneous info. I'll stick with the only good advice I had, which was not to roll your own.
What about Secure hash and salt for PHP passwords? It even has examples in PHP.

how to hash the password and get it back

hey guys,
i want to hash the password so it is totally encrypted, i am able to hash the password, but now the issue is i am not able to again get back the real password, is there any way i can get the real password using any of the hash, or is there any other way to encrypt and also decrypt the text into its original content...
Please reply as soon as possible..
Thanks and regards
abbas electricwala.
Hash is a one way encryption - that's the point - not to be able to get the original information from it. Hash is meant for verifying integrity. You can check if a entered string is the correct password by hashing and comparing the hashes with the one you had before.
The whole point of hashing a password is so that you do not have to save passwords in clear text. If someone can get the hashed passwords, he can't convert them back to passwords. Also, don't forget to salt your hashing otherwise your hashed passwords are vulnerable to rainbow tables.
Hashing isn't encryption, you cannot reverse it. You use hashing to check whether someone has a specific password, without knowing the password yourself.
The idea of hash functions is, to make it impossible to reconstruct the orignal data from the hash. Furthermore there are infinite different inputs to a hash function giving the same result.
If you want to check if a password entered in, say a login form matches the valid passwort, hash the newly input password and compare the hashes.
You typically can't and shouldn't. You also hash the received password and compare the two hashes
Theoretically once the data is converted using a one-way hash function, the hashed version of the data cannot be used to recreate the original data.
You may want to try a brute force attack against the hash code, using a dictionary. It naturally helps if you know which hash function has been used.

Replacing plain text password for app

We are currently storing plain text passwords for a web app that we have.
I keep advocating moving to a password hash but another developer said that this would be less secure -- more passwords could match the hash and a dictionary/hash attack would be faster.
Is there any truth to this argument?
Absolutely none. But it doesn't matter. I've posted a similar response before:
It's unfortunate, but people, even programmers, are just too emotional to be easily be swayed by argument. Once he's invested in his position (and, if you're posting here, he is) you're not likely to convince him with facts alone. What you need to do is switch the burden of proof. You need to get him out looking for data that he hopes will convince you, and in so doing learn the truth. Unfortunately, he has the benefit of the status quo, so you've got a tough road there.
From Wikipedia
Some computer systems store user
passwords, against which to compare
user log on attempts, as cleartext. If
an attacker gains access to such an
internal password store, all passwords
and so all user accounts will be
compromised. If some users employ the
same password for accounts on
different systems, those will be
compromised as well.
More secure systems store each
password in a cryptographically
protected form, so access to the
actual password will still be
difficult for a snooper who gains
internal access to the system, while
validation of user access attempts
remains possible.
A common approache stores only a
"hashed" form of the plaintext
password. When a user types in a
password on such a system, the
password handling software runs
through a cryptographic hash
algorithm, and if the hash value
generated from the user's entry
matches the hash stored in the
password database, the user is
permitted access. The hash value is
created by applying a cryptographic
hash function to a string consisting
of the submitted password and,
usually, another value known as a
salt. The salt prevents attackers from
building a list of hash values for
common passwords. MD5 and SHA1 are
frequently used cryptographic hash
functions.
There is much more that you can read on the subject on that page. In my opinion, and in everything I've read and worked with, hashing is a better scenario unless you use a very small (< 256 bit) algorithm.
There is absolutely no excuse to keeping plain text passwords on the web app. Use a standard hashing algorithm (SHA-1, not MD5!) with a salt value, so that rainbow attacks are impossible.
I don't understand how your other developer things 'more passwords could match the hash'.
There is argument to a 'hash attack would be faster', but only if you're not salting the passwords as they're hashed. Normally, hashing functions allow you to provide a salt which makes the use of known hash table a waste of time.
Personally, I'd say 'no'. Based on the above, as well as the fact that if you do somehow get clear-text expose, a salted, hashed value is of little value to someone trying to get in. Hashing also provides the benefit of making all passwords 'look' the same length.
ie, if hashing any string always results in a 20 character hash, then if you have only the hash to look at, you can't tell whether the original password was eight characters or sixteen for example.
I encountered this exact same issue in my workplace. What I did to convince him that hashing was more secure was to write a SQL injection that returned the list of users and passwords from the public section of our site. It was escalated right away as a major security issue :)
To prevent against dictionary/hash attacks be sure to hash against a token that's unique to each user and static (username/join date/userguid works well)
If you do not salt your Password, you're suspect to Rainbow Table attacks (precompiled Dictionaries that have valid inputs for a given hash)
The other developer should stop talking about security if you're storing passwords in plaintext and start reading about security.
Collisions are possible, but not a big problem for password apps usually (they are mainly a problem in areas where hashes are used as a way to verify the integrity of files).
So: Salt your passwords (by adding the Salt to the right side of the password*) and use a good hashing algorhithm like SHA-1 or preferably SHA-256 or SHA-512.
PS: A bit more detail about Hashes here.
*i'm a bit unsure whether or not the Salt should to to the beginning or to the end of the string. The problem is that if you have a collisions (two inputs with the same hash), adding the Salt to the "wrong" side will not change the resulting hash. In any way, you won't have big problems with Rainbow Tables, only with collisions
There is an old saying about programmers pretending to be cryptographers :)
Jeff Atwood has a good post on the subject: You're Probably Storing Passwords Incorrectly
To reply more extensively, I agree with all of the above, the hash makes it easier in theory to get the user's password since multiple passwords match the same hash. However,
this is much less likely to happen than someone getting access to your database.
There is truth in that if you hash something, yes, there will be collisions so it would be possible for two different passwords to unlock the same account.
From a practical standpoint though, that's a poor argument - A good hashing function (md5 or sha1 would be fine) can pretty much guarantee that for all meaningfully strings, especially short ones, there will be no collisions. Even if there were, having two passwords match for one account isn't a huge problem - If someone is in a position to randomly guess passwords fast enough that they are likely to be able to get in, you've got bigger problems.
I would argue that storing the passwords in plain text represents a much greater security risk than hash collisions in the password matching.
I'm not a security expert but I have a feeling that if plain text were more secure, hashing wouldnt exist in the first place.
In theory, yes. Passwords can be longer (more information) than a hash, so there is a possibility of hash collisions. However, most attacks are dictionary-based, and the probability of collisions is infinitely smaller than a successful direct match.
It depends on what you're defending against. If it's an attacker pulling down your database (or tricking your application into displaying the database), then plaintext passwords are useless. There are many attacks that rely on convincing the application to disgorge it's private data- SQL injection, session hijack, etc. It's often better not to keep the data at all, but to keep the hashed version so bad guys can't easily use it.
As your co-worker suggests, this can be trivially defeated by running the same hash algorithm against a dictionary and using rainbow tables to pull the info out. The usual solution is to use a secret salt plus additional user information to make the hashed results unique- something like:
String hashedPass=CryptUtils.MD5("alsdl;ksahglhkjfsdkjhkjhkfsdlsdf" + user.getCreateDate().toString() + user.getPassword);
As long as your salt is secret, or your attacker doesn't know the precise creation date of the user's record, a dictionary attack will fail- even in the event that they are able to pull down the password field.
Nothing is less secure than storing plain-text passwords. If you're using a decent hashing algorithm (at least SHA-256, but even SHA-1 is better than nothing) then yes, collisions are possible, but it doesn't matter because given a hash, it's impossible* to calculate what strings hash to it. If you hash the username WITH the password, then that possibility goes out the window as well.
* - technically not impossible, but "computationally infeasible"
If the username is "graeme" and the password is "stackoverflow", then create a string "graeme-stackoverflow-1234" where 1234 is a random number, then hash it and store "hashoutput1234" in the database. When it comes to validating a password, take the username, the supplied password and the number from the end of the stored value (the hash has a fixed length so you can always do this) and hash them together, and compare it with the hash part of the stored value.
more passwords could match the hash and a dictionary/hash attack would be faster.
Yes and no. Use a modern hashing algorithm, like an SHA variant, and that argument gets very, very week. Do you really need to be worried if that brute force attack is going to take only 352 years instead of 467 years? (Anecdotal joke there.) The value to be gained (not having the password stored in plain text on the system) far outstrips your colleague's concern.
Hope you forgive me for plugging a solution I wrote on this, using client side JavaScript to hash the password before it's transmitted: http://blog.asgeirnilsen.com/2005/11/password-authentication-without.html