_haxxor_ wrote:
scoobz, could you create a " bigger " spreadsheet for
this ?
could you include more digits ? like 12 or more ? and up to 100 tables/set. i'm very interested. (it may sound useless to know that many digits, but please)
btw could you extend it to 99.99% ? and down to 96.8 % ? thx !
Sure it will take awhile as I did the last one by guess and check about a minute per table set. So I think I'll just write a program to do all of this which I meant to finish, but the UI took so long to get it nice (I remade it like 50 billion times) that I lost interest as it was just easier for me to use guess and check in excel. Give me like "two weeks" since I'm working on this one thing right now. 12 digits is pointless as the last few will be random because of inaccuracies. Even if I had a way to calculate the numbers to that accuracy it will be pointless as these are just estimates. Real world cases are off due to hashing algorithms not being evenly distributed... but I'll do it anyway
.
_haxxor_ wrote:
wild idea : let's create a 3 table set, with the maximum success rate : 99.75202349% (1 in 403)
what would be the tableWorkFactor, Sc00bz ? why did you wrote there N/A ???
Code:
| | | Less | Smaller Than | Smaller Than |
| | | Total | Previous | Previous |
| Work Per | Total | Work Than | (Const Chain | (Const Total | Total Success
Tables | Table | Work | Previous | Length) | Pre-work) | Rate
---------+-----------+-----------+-----------+--------------+--------------+-----------------
3 Tables | N/A | N/A | | | | 99.75202349% Max
(for lm_all-space#1-7)
LE: if you can't calculate the workfactor for 99.75202349 (1:403), then what is it for (1 in 256) 99.609375 % ? or smth in between.
i'm asking this, because i think we could fit lm_all-space#1-7 in 4-6 GiB, given the big tableWorkFactor. (the current table set is over 44 GiB)
The table work factor for the theoretical max success rate is the chain length. This means that you have key space start points. I wouldn't go much higher then a table work factor of like "100."
Code:
Table work | Miss rate | Miss rate | Miss rate | Miss rate
factor | 1 Table | 2 Tables | 3 Tables | 4 Tables
-----------+-------------------+-------------------+-------------------+-------------------
10.0x | Miss 1 in 5.3 | Miss 1 in 28.0 | Miss 1 in 148.5 | Miss 1 in 786.4
20.0x | Miss 1 in 6.2 | Miss 1 in 38.0 | Miss 1 in 234.0 | Miss 1 in 1,441.6
24.3500x | Miss 1 in 6.3 | Miss 1 in 40.3 | Miss 1 in 255.9998| Miss 1 in 1,625.5
24.3501x | Miss 1 in 6.3 | Miss 1 in 40.3 | Miss 1 in 256.0002| Miss 1 in 1,625.5
30.0x | Miss 1 in 6.5 | Miss 1 in 42.5 | Miss 1 in 277.4 | Miss 1 in 1,809.4
40.0x | Miss 1 in 6.7 | Miss 1 in 45.1 | Miss 1 in 303.3 | Miss 1 in 2,038.1
50.0x | Miss 1 in 6.8 | Miss 1 in 46.8 | Miss 1 in 320.5 | Miss 1 in 2,192.9
60.0x | Miss 1 in 6.9 | Miss 1 in 48.0 | Miss 1 in 332.6 | Miss 1 in 2,304.4
70.0x | Miss 1 in 7.0 | Miss 1 in 48.9 | Miss 1 in 341.7 | Miss 1 in 2,388.4
80.0x | Miss 1 in 7.0 | Miss 1 in 49.5 | Miss 1 in 348.7 | Miss 1 in 2,454.0
90.0x | Miss 1 in 7.1 | Miss 1 in 50.1 | Miss 1 in 354.2 | Miss 1 in 2,506.5
100.0x | Miss 1 in 7.1 | Miss 1 in 50.5 | Miss 1 in 358.8 | Miss 1 in 2,549.5
110.0x | Miss 1 in 7.1 | Miss 1 in 50.8 | Miss 1 in 362.6 | Miss 1 in 2,585.4
120.0x | Miss 1 in 7.2 | Miss 1 in 51.1 | Miss 1 in 365.8 | Miss 1 in 2,615.8
130.0x | Miss 1 in 7.2 | Miss 1 in 51.4 | Miss 1 in 368.5 | Miss 1 in 2,641.9
140.0x | Miss 1 in 7.2 | Miss 1 in 51.6 | Miss 1 in 370.9 | Miss 1 in 2,664.5
150.0x | Miss 1 in 7.2 | Miss 1 in 51.8 | Miss 1 in 372.9 | Miss 1 in 2,684.3
160.0x | Miss 1 in 7.2 | Miss 1 in 52.0 | Miss 1 in 374.7 | Miss 1 in 2,701.7
170.0x | Miss 1 in 7.2 | Miss 1 in 52.1 | Miss 1 in 376.4 | Miss 1 in 2,717.3
180.0x | Miss 1 in 7.2 | Miss 1 in 52.3 | Miss 1 in 377.8 | Miss 1 in 2,731.1
190.0x | Miss 1 in 7.2 | Miss 1 in 52.4 | Miss 1 in 379.1 | Miss 1 in 2,743.6
200.0x | Miss 1 in 7.2 | Miss 1 in 52.5 | Miss 1 in 380.3 | Miss 1 in 2,754.9
Difference between 100.0x and 200.0x is that 200.0x will find one more password for every 6,355.0 passwords.
100.0x miss 1 in 320.5, 99.72129%, passwords found per 6,355.0 passwords 6,337.3
200.0x miss 1 in 380.3, 99.73702%, passwords found per 6,355.0 passwords 6,338.3
_haxxor_ wrote:
Sc00bz, please read the posts from page 9 ! Which one?