- Rainbow Tables
- Install Rainbow Crack Tutorials
- Free Rainbow Tables
- Install Rainbow Crack Tutorial Youtube
- John The Ripper
- How To Use Rainbow Crack
'As for me , I've been trying to reset the screen login password on my Windows 7 for some time, but today with Ophcrack, when I restart my computer from bootable disc, it keeps saying 'No tables found!!', what happened? And I'm sure I didn't boot from the wrong drive. Any help?' -
Using ophcrack. What are rainbow tables? One called 'ophcrack XP LiveCD' which should be used to crack LM hashes, and the other one, 'ophcrack Vista' LiveCD for NT hashes. Then, burn this ISO file with your preffered burner software as an image. You can find many tutorials on the Internet that explains how to burn an ISO file on a CD. Download rainbowCrack password cracking tool. RainbowCrack is a computer program which generates rainbow tables to be used in password cracking. Download rainbowCrack password cracking tool. Crackers in that it uses large pre-computed tables called rainbow tables to reduce the length of time needed to crack a password drastically. Crack Station. Exploit Database. Hash Generator. Made a tutorial on android hacking, what do you guys think. 19 25 comments. The front page of the internet. Become a Redditor. And subscribe to one of thousands of communities. Where the hell do you download rainbow tables?
What should You Do If You Get An Error 'Ophcrack No Tables Found' ?
You know, password recovery is not that big of an issue if you have the proper means of restoration. The concerned technique needs to be safe, effective and fast in hauling out the lost data. Hence, make sure that whatever method is being used, it can provide you the ultimate satisfaction. Now Ophcrack is a major way to bring back the lost password. However in most cases, it may happen that you are unable to open the Ophcrack program let alone work with it, you may often get a messages says 'Ophcrack no tables found', and you've tried replacing the tables, but nothing works. So, even though Ophcrack program uses the most advanced of ways to get through the system, it may at times fail to work its magic considering the complexities involved. So, if you get an error 'no tables are found' during Windows 7 password reset with Ophcrack, how should do?
Well, there are two solutions for your choice to recover your forgotten Windows 7/8 password.
Part 1: Get the Rainbow Tables from Ophcrack Website
You may now know that Ophcrack uses rainbow tables to remove the windows password protection, during the usage, when it keeps prompting you No tables found, it means that Ophcrack can't find the rainbow tables on the CD, probably a result of a bad burn. If you can't find tables in Ophcrack boot disc, you need to download rainbow tables from Ophcrack office site.
Note: Ophcrack program only works for Windows XP, 7 or Vista. It doesn't work for Windows 8/8.1 or Windows 10. If you forgot Windows 10 password, please read this part 2.
You will find many different types of rainbow tables provides by Ophcrack website, some of these are free, others are pay-for-service. You should select the right version available for your computer, then download and purchase it. You may have noticed that Ophcrack doesn't guarantee 100% success rate of password recovery while using its rainbow tables. So, you should be given a second thought before using Ophcrack to reset your Windows 7 password.
Part 2: User Other Professional Windows Password Recovery Program
If you do not want to get through the line of complexities and need a simple third party intervention to resolve matters, then iSeePassword Windows Password Recovery can be an ideal way to solve matters. This simple and effective software technique will ensure you an easy way to dig out the password and make the necessary changes. You just need to create a bootable USB reset disk and plug it to your locked computer and remove its password, that's all! The steps are simple to follow, and all that is required is to make sure that the guidelines are understood properly. Moreover, safety features are induced so that there is no possible leakage of personal information at any point of time. All the data stored in the device will be kept safe, and you can successfully take care of the password restoration issues.
Support Windows OS : Available for all Windows versions including Windows 10,8.1,8,7,Vista and XP.
What You Need:
1) Prepare a blank USB flash drive with no less then 1G capacity or blank DVD/CD (We recommend using USB drive, easy and fast)
2) Find an accessible Windows computer to install the Windows password recovery. You can download it from below.
1 Download and Install the Program Any Accessible Windows Computer
Assume that you have an accessible Windows computer in hand , then download and install the windows password recovery program on this computer, and launch it. The main panel like below.
2Insert Your USB Drive and Create a Bootable Reset Disk (Take USB for Example)
You have two options to create a bootable password reset disk, one is USB drive and the other is DVD/CD. Here we select USB drive for an example. Insert the your prepared USB drive into this accessible computer, specify the burning drive from the pull-down list. Then click the 'Burn USB' button to start burning process. Please wait for a while.
3Insert Created USB Reset Disk to Your Locked Computer and Change BIOS Settings
When the burning is completed, you need to insert the newly created USB drive to the password locked computer, and set USB drive as the first boot order in BISO.
See How Change Boot Order in the BOSI SETUP
1. First you should restart your locked computer and repeatedly press F1, F2, F8 or F10 while the computer is initializing. a boot menu may appear, then change the boot order to make it boot from USB drive.
2. After that, press F10 to save your changes, then restart your computer.
4Select Admin Account and Reset Password
Restart your computer now, it will boot from USB drive this time, the Windows password recovery will be loaded on your screen. You just need to select the target user account you want to reset and click 'Reset your password' button to remove your password. After the process, you can login your system without password.
Compared with Ophcrack, The software works in a number of situations. No matter which version of windows you are working with, whether it is 10, 8 or 7, the concerned rescuer version will be apt for use. From HP to Lenovo and other brands, all are compatible with the software. If you are engaged in heavy security work and the password provided is complex and so is the protection of the device data then this program is available for the ultimate help, safe and fast, never damage to your operating system and original data.
So, if other methods like Ophcrack fails to work, this Ophcrack alternative is sure to work a wonder for your password recovery and reset issues. Considering that there is not much time that can be donated to these concerns, you need a fast and speedy recovery. Hence, choose the way that will effectively provide the optimum results without wasting much time.
Related Articles & Tips
kestas.kuliukas.com
How Rainbow Tables work
I found the creator of Rainbow Table's paper, aimed at cryptanalysts,was pretty inaccessible considering the simplicity and elegance ofRainbow Tables, so this is an overview of it for a layman.
Hash functions map plaintext to hashes so that you can't tell aplaintext from its hash.
If you want to find a given plaintext for a certain hash there are twosimple methods:
- Hash each plaintext one by one, until you find the hash.
- Hash each plaintext one by one, but store each generated hash in asorted table so that you can easily look the hash up later withoutgenerating the hashes again
Going one by one takes a very long time, and storing each hash takes anamount of memory which simply doesn't exist (for all but the smallest ofplaintext sets). Rainbow tables are a compromise between pre-computationand low memory usage.
The key to understanding rainbow tables is understanding the(unhelpfully named) reduction function.
A hash function maps plaintexts to hashes, the reduction function mapshashes to plaintexts.
It's important to note that it does the reverse of a hash function(mapping hashes to plaintexts), but it is /not/ an inverse hashfunction. The whole purpose of hash functions is that inverse hashfunctions can't be made. If you take the hash of a plaintext, and takethe reduction of the hash, it will not give you the original plaintext;but some other plaintext.
If the set of plaintexts is [0123456789]{6} (we want a rainbow table ofall numeric passwords of length 6), and the hashing function is MD5(), ahash of a plaintext might be MD5('493823') ->'222f00dc4b7f9131c89cff641d1a8c50'.
In this case the reduction function R() might be as simple as taking thefirst six numbers from the hash; R('222f00dc4b7f9131c89cff641d1a8c50')-> '222004'.
We now have generated another plaintext from the hash of the previousplaintext, this is the purpose of the reduction function.
Hashes are one-way functions, and so are reduction functions. The chainswhich make up rainbow tables are chains of one way hash and reductionfunctions starting at a certain plaintext, and ending at a certain hash.A chain in a rainbow table starts with an arbitrary plaintext, hashesit, reduces the hash to another plaintext, hashes the new plaintext, andso on. The table only stores the starting plaintext, and the final hashyou choose to end with, and so a chain 'containing' millions of hashescan be represented with only a single starting plaintext, and a singlefinishing hash.
After generating many chains the table might look something like:
iaisudhiu -> 4259cc34599c530b1e4a8f225d665802
oxcvioix -> c744b1716cbf8d4dd0ff4ce31a177151
9da8dasf -> 3cd696a8571a843cda453a229d741843
[...]
sodifo8sf -> 7ad7d6fa6bb4fd28ab98b3dd33261e8f
The chains are now ready to be used. We have a certain hash with anunknown plaintext, and we want to check to see whether it is inside anyof the generated chains.
The algorithm is:
- Look for the hash in the list of final hashes, if it is there breakout of the loop.
- If it isn't there reduce the hash into another plaintext, and hash thenew plaintext.
- Goto the start.
- If the hash matches one of the final hashes, the chain for which thehash matches the final hash contains the original hash.
In this way you check through the hashes in the chains, which aren'tactually stored anywhere on disk, by iterating column by column throughthe table of chains, backwards from the last column in the chain, to thestarting plaintext.
If you wanted to check whether the hash exists in the last column of any of the chains you reduce and hash the given hash once, then check the generated hash against the chain end hashes.
You can check the second last column by reducing and hashing twice, then check the generated hash against the chain end hashes.
And the third is checked by reducing and hashing three times, then check the generated hash against the chain end hashes.
Supposinga chain ending matches the generated hash the matching chain end mightcontain the hash. The starting plaintext which was stored with the ending hash can be reduced and hashed until the correct plaintext is found within the chain.
Rainbow Tables
Collisions are the only problem with Rainbow Tables. Ironicallycollisions are seen as a bad thing for hashing algorithms, but in thecase of Rainbow Tables a hashing algorithm which generates collisionsfairly regularly will be more secure.
A given hash may be generated by multiple plaintexts (this is called acollision), which is a big problem for chains because it causes chainswhich start different to converge into one. Also you get loops, whichare caused when a hash is reduced to a plaintext that was hashed at aprevious point in the chain.
Because of these collision problems there is no guarantee that therewill be a hash of a plaintext that will reduce to some other givenplaintext.
If you have a simple list of hashes and corresponding plaintexts forevery plaintext in a set you will know that if you have not found thehash in the generated hashes the plaintext that generated the hash isnot in the set.
If you have a table of chains where the reduction function reduceshashes into the set of plaintexts you could have trillions of chainsgenerated but you still may not have generated every plaintext in theset you want to check. You can only say how probable it is that a tableof chains contains a certain plaintext, and this can approach 1 but willprobably never reach 1.
If you have a rainbow table with 10 chains of length 100 you have hashed1000 plaintexts, but even if there are only 100 plaintexts in the set ofdesired plaintexts the 1000 hashes you have in the chains may notcontain all the desired hashes.
The way collisions are handled is what sets Rainbow Tables apart fromits predecessor which was developed in 1980.
The predecessor solved the problem of certain plaintexts never beingreduced to by using many small tables. Each small table uses a differentreduction function. This doesn't solve the problem completely, but itdoes help.
To solve chain merges and loops each chain ended at a 'distinct point';a hash which was unique in some way, eg hashes where the first 4characters are 0. The chains keep on going until it reaches a distinctpoint. If two chains end up at the same distinct point then there hasbeen a collision somewhere in the chain, and one of the chains isdiscarded. If a chain is generated for an unusually long time withoutreaching a distinct point a loop is suspected (where a chain of hashesends up reducing and hashing to a previous hash in the chain).The problem with this is that if there is a collision there ispotentially a whole branch which has to be cut off and won't make itinto the chains, and a loop will cause all the hashes which came beforethe loop in the chain to be discarded.
Also all the time spend generating that chain will be wasted, and byending only at distinct points you have chains of variable length. Thismeans that you may have to keep checking for a hash within especiallylong chains long after the other chains have ended.
Rainbow tables differ in that they don't use multiple tables withdifferent reduction functions, they only use one table. However inRainbow Tables a different reduction function is used for each column.This way different tables with different reduction functions aren'tneeded, because different reduction functions are used within the sametable. It is still unlikely that all plaintexts in the desired set willbe hashed, but the chances are higher for a given number of chains.Chain merges are much, much rarer, because collisions have to occur onthe same column. For a chain of length l the chance of a collisioncausing a merge is reduced to 1/l. Loops are also solved, because if ahash in a chain is the same as a previous hash it won't reduce to thesame plaintext.
The reason they're called Rainbow Tables is because each column uses adifferent reduction function. If each reduction function was a differentcolor, and you have starting plaintexts at the top and final hashes atthe bottom, it would look like a rainbow (a very vertically long andthin one).
By using Rainbow Tables the only problem that remains is that you cannever be certain that the chains contain all the desired hashes, to gethigher success rates from a given Rainbow Table you have to generatemore and more chains, and get diminishing returns.
I hope by explaining the Rainbow Table I haven't made them any less wonderful ...
An easy way to improve on the 'rainbowcrack' Rainbow Tables implementation
This section probably goes a bit beyond where a layman would be comfortable, but if you're interested in the practical applications of the above theory or have some interest in cryptography read on..
The rainbowcrack application is how most people come to learn about Rainbow Tables, because it is the application which puts the theory above into code. It has been very successful, with many websites dedicated to generating rainbowcrack hash tables and letting users search them.
However there is a pretty clear way this application could be improved, very easily, in the sense that the generated tables would take up a lot lessdisk space, but be equally as effective for breaking hashes:
Install Rainbow Crack Tutorials
Remember above that when you want to generate a certain chain you start from an arbitrary hash. This just means it doesn't matter where you choose to start from. The rainbowcrack application starts from a randomly generated 64-bit number. This number is then used to generate a chain which ultimately ends with a 128-bit hash, which is reduced to another 64-bit number.
Free Rainbow Tables
Why use a randomly generated number as the starting point? A pseudo-random number generator can generate a fantastic amount of seemingly random numbers from a single input number. Why not make a single random input number, and then store the index of the number which generates the pseudo-random number?
So for example a cipher like RC4 is a pseudo-random number generator. Say the single input number (the 'seed', as it's called) was 18092398. The first 64-bits the RC4generates might give a number of '091358029384092', to start the chain off. The second 64-bits might give a number of '123793582983480', to start the second chain off. The third64-bits might give '1089324083486', for the third chain, and so on potentially for billions of chains.
What is the difference between this and storing a random 64-bit number for each chain, as rainbowcrack does?
Simply that a start-point in a rainbowcrack table must be stored as the randomly generated 64-bit number. A start-point using a random-number generator needs only the single input number (the 'seed')and the chain number. So when referring to the third chain in the example above, if you wanted to know the start point of '1089324083486', you would only need to know the 'seed' number, and that it was the third 64-bit number generated. That's the number '18092398', and the number '3'.
To know the start-point for the fourth chain you only need to know the 'seed' ('18092398'), and the number '4'.
Install Rainbow Crack Tutorial Youtube
If you have 2^64 chains (1,844,674,407,370,955,616) then it wouldn't make any difference, but that would be 4194304 terrabytes, far larger than any Rainbow Table ever generated. For a more realistic rainbow table with, say, 2^28 (268,435,456) chains you would only need a 28-bit number instead of storing a 64-bit number, as rainbowcrack currently does.
That's an improvement from (64-bit+64-bit) per chain to (28-bit+64-bit) per chain, plus a single 64-bit 'seed' number per table. When you're talking about millions of chains that's a very significant reduction of data for the same hash-breaking ability.
John The Ripper
In this example a rainbowcrack table would be 2^28 * ( 64-bit random start number + 64-bit chain-end number) (4096 MB).
Using a pseudo-random number generator the table would be 2^28 * ( 28-bit non-random start number + 64-bit chain-end number) + 64-bit 'seed' number (3264 MB)
When you scale that difference up to the huge sizes rainbowcrack tables can reach the savings become massive, and you end up with whole hard-disk arrays of randomly-generated chain-start number data that is pure waste, not to mention the bandwidth used moving the data around.
A huge waste considering the trivial code changes.