However, I find that it would be better for me to actually attempt to implement a (very basic) rainbow table generator in. Example Rainbow Table Generation. In this Generate Rainbow Tables Using WinRTGen tutorial, I will teach you how to generate rainbow tables using WinRTGen.

1. Rainbow Tables For Windows 7
2. Ophcrack Rainbow Tables

. Size calculations for RTI2 will in some cases be smaller than actually possible by a bit or two per chain.

Size calculations for RTC are umm estimates. OK fine I pulled a formula out my ass. These were done to increase speed:. Large chain lengths and imperfect tables will take a long time. I actually set a max of 500,000 for the chain length in the calculation for the table work factor.

Imperfect tables have a max table work factor of just under 256x (you won't hit this limit unless you try). If you change the chain count on imperfect tables the table work factor calculation will be off. Since it does not refine the calculation multible times to find the correct chain length. To do:. User input of brute force point. Better function for finding table work factor when chain length is the unknown (chain count was changed last).

Rainbow Tables For Windows 7

RF Seq CS Len PW Lens Key Space Total SR Total MR Perfect Tables Total WF Table WF Gen Time Format SP Size EP Size Index Size Chain Len Chains Crack Time Size FPM 256 10-10 2 ^ 52.5710% 1207.8753 x 15.6989x 3y 123d DIRT 40 b/Ch 16 b/Ch 2.6125 b/Ch 1,000,000 10,525,764,370,931 16m 40s 153.17 TiB FPM 256 10-10 2 ^ 52.5710% 1207.8753 x 15.6989x 3y 123d DIRT 40 b/Ch 16 b/Ch 2.6125 b/Ch 1,000,000 10,525,764,370,931 16m 40s 153.17 TiB FPM 256 10-10 2 ^ 52.5710% 1207.8753 x 15.6989x 3y 123d DIRT 40 b/Ch 16 b/Ch 2.6125 b/Ch 1,000,000 10,525,764,370,931 16m 40s 153.17 TiB. Created by me in March 2010. Rainbow table must be perfect. Uses a mini prefix index and magic for saving space and searching. Variable bit per start point. Mini prefix index (1/6-1/12 bits per chain) + about 2.5 bits per chain for magic. Header has the rainbow table parameters.

Support for different reduction functions. Support for variable byte characters. This is stated as less than one third RT's size because in most cases it is. Created by me in March 2010. Uses a mini prefix index and bit field for saving space and searching. Variable bit per chain.

Mini prefix index (1/6-1/12 bits per chain) + 1.5-2 bits per index (2-3 bits per chain). Header has the rainbow table parameters.

Support for different reduction functions. Support for variable byte characters. This is stated as less than one half RT's size because in most cases it is.

Created by Philippe Oechslin in '2003?' Before September 2004.

Uses a prefix index for saving space and searching. 6 bytes per chain. 4 bytes per index. Max 2^32 chains / table. End point is truncated to less than the key space, max end point is 48 bits.

Ophcrack looks at the beginning of the table to see which rainbow table it is (or user inputted).index. Chain offset (4 bytes).start. Start point (4 bytes). Generated from sequential start points also check points are stored here if there are any but all the free tables do not have check points. If I remember correctly I asked about the lack of check points in their old forum and got a reply of they are not that useful.bin. End point (2 bytes) RTI 'RT Improved' (½x RT size). I make fun of this one because searching is slow O(chainCount) vs.

O(chainLength) or O(files. chainLength. log(chainCount / files)), but for small tables it might not matter too much. That and 'start point seed' instead of 'first start point.' It was stated in their paper to do h0 = hash(index2pw('start point seed')), hi + 1 = (hi + 1)% (2 ^ hashBits), startPointi = hash2pw(hi) why it wasn't just startPoint0 = 'start point seed', startPointi + 1 = (startPointi + 1)% keySpace. Also depending on a few things hi + 1 = (hi + 1)% (2 ^ hashBits) could cause duplicate start points.

Ophcrack Rainbow Tables

4, 1 GiB.rt files with a chain length of 5000: average operations to search = 520,000 = 4. 5,000. 26 4, 0.5 GiB '.rtd' files a with chain length of 5000: average operations to search = 268,435,456 = 268,435,456 4, 1 GiB '.rtd' files a with chain length of 2500: average operations to search = 536,870,912 = 536,870,912 As you can see that's 516 and 1,032 times more operations than searching a.rt, but the.rt will thrash your CPU's cache which will make it slower but overall it should be faster just not by 500x. RTI0 'RT Improved Broken' (½x RT size).