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Program will ask user for their salary and year of service and display the net bonus amount employee will received. SHA1 is a cryptographic hash function, and the entire point is that you can't undo it. If it was possible to reverse the hash find the input for a given hash , it wouldn't be useful. However, for very simple inputs it may be possible to crack the hash function by guessing what the input was and checking if the hash is the same.
Of course, if you actually want to crack hashes efficiently, using software like John the Ripper or Hashcat is probably your best bet. Note that this usually works on passwords since they're short and easy to guess, but the difficulty increases exponentially as the input increases.
You can crack every SHA-1 hash with a 6-character input in minutes, while cracking one with 16 characters would take trillions of years on average. The Levensthein distance is a measure for how similar strings are. Or, more precisely, how many alterations have to be made that they are the same. The algorithm is available in pseudo-code on Wikipedia. Converting that to Java shouldn't be much of a problem, but it's not built-in into the base class library. The below code is doing a complete file encryption and decryption and is compatible to the OpenSSL commands.
I left out some variables as they are not used in decryption method and on the other hand substituded the byte[] concatination with a pure Java version. The code does not have any exception handling and is for educational purpose only.
In particular, is there a difference between the hashing algorithm they use? What is the formula used to hash in these two classes? The primary hash function used when you use an object as a hash table key is the object's hashCode method. It is up the to the key class to implement a decent hash function. The Hashtable and HashMap classes take the key's hashcode value and convert it to an index in the primary hashtable array-of-chains. However, there are differences in how this happens between Hashtable and HashMap.
Obviously the collision probability increases when the target set is getting smaller. But vice versa this also means that the collision probability decreases when the target set is getting larger and SHA-1's target set is bit. Jeff Preshing , wrote a very good blog about Hash Collision Probabilities that can help you to decide which hash algorithm to use.
Thanks Jeff. It produced collsions and that's the nearly the half of And if I ran the program with input values the collision count is This is not exactly 1 in 10, but it is only a probability and the example program is not perfect, because it only uses the ascii chars between A and z.
If you have a SHA-1 value and you want to get the input value back you can try a brute force attack. This means that you have to generate all possible input values, hash them and compare them with the SHA-1 you have. But that will consume a lot of time and computing power. Some people created so called rainbow tables for some input sets. But these do only exist for some small input sets. And remember that many input values map to a single target hash value.
So even if you would know all mappings which is impossible, because the input set is unbounded you still can't say which input value it was. Since SHA-1 maps several byte sequences to one, you can't "decrypt" a hash, but in theory you can find collisions: strings that have the same hash.
It seems that breaking a single hash would cost about 2. Stack Overflow for Teams — Collaborate and share knowledge with a private group.
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