| 28 | | -The password length can dramatically influence cracking time |
| 29 | | -GPU can increase the password cracking time significantly |
| | 28 | - The password length can dramatically influence cracking time |
| | 29 | - GPU can increase the password cracking time significantly |
| | 30 | |
| | 31 | The next step was to see how many passwords can be cracked with an upper limit of 1015 guesses |
| | 32 | - Used a leaked password list which contains 1,571,804 number of passwords |
| | 33 | - Used John the Ripper, hashcat, PCGF and Markov model |
| | 34 | [[Image(final graph.jpg, 560px)]] |
| | 35 | |
| | 36 | - From the current trials, John the Ripper was able to crack the largest percentage of passwords |
| | 37 | - The problem with John the Ripper is that it was a very long time to crack passwords, it was not able to reach 10^15 guesses even though the trial ran 17 days |
| | 38 | - Hashcat was a much shorter trial of only 5 days and it approached 10^15 guesses |
| | 39 | - PCFG was able to crack about 25% of the passwords with only 10^9 guesses which is more than both John the Ripper and Hashcat, but John the Ripper and Hascat kept increasing while PCFG was stagnant |
| | 40 | - Markov model is the most inefficient one for password cracking |
