SHA-1 Cracking On A Budget
cloude-pottier writes "An enterprising individual went on eBay and found boards with more than half a dozen Virtex II Pro FPGAs, nursed them back to life and build a SHA-1 cracker with two of the boards. This is an excellent example of recycling, as these were originally a part of a Thompson Grass Valley HDTV broadcast system. As a part of the project, the creator wrote tools designed to graph the relationships between components. He also used JTAG to make reverse engineering the organization of the FPGAs on the board more apparent. More details can be seen on the actual project page."
This makes them fairly pointless for general computing, but when you need to crunch a bunch of numbers in the same way over and over, they can REALLY outperform a general cpu. Usually these are used to manipulate audio / video data streams in real time (the original purpose for the FPGAs used in this project) - but recently people have started using them to brute-force try to crack an encryption scheme. Where a general purpose cpu might take upwards of 40 clock cycles to check one possible answer, each of the FPGAs in this system can check at least one answer PER clock cycle.
This guy pulled a bunch of FPGA systems out of some (defective?) HDTV video processing systems - reverse engineered exactly how everything was wired together, reprogrammed the FPGAs to do SHA-1 hash cracking rather than HDTV video processing, and added some usb control circuitry so the system could take commands from / return results to a pc.
One could use this same board setup to do any sort of massively parallel data processing, but right now the system isn't wired up to really feed large amounts of data into / out of the system in real time. He can get away with that as hash cracking results are fairly small and infrequent, so the limited means he has for getting "answers" out of the system isn't too much of a problem.
Posted at 4:39AM on Sep 1st 2007 by smilr HTH.
So it doesn't search all possible inputs to SHA-1, but maybe you could use it in this situation:Given hash and salt, you can find password by a brute force search on this hardware (assuming password is less than 9 characters in length). This could be useful for obtaining user passwords from
>north
You're an immobile computer, remember?
That's nice, his own SHA-1 cracker. But, even with advanced cryptographic attacks, SHA-1 is still in the order of 2^63. Not something you would like to try with just a few FPGA's. What is meant here is a cracker to find out which plain text, with limited entropy, is used to create a certain hash value. A SHA-1-based password cracker would therefore be a better name, I suppose.
It seems from here that it searches a 64 ^ 8 = (2 ^ 6) ^ 8 = 2 ^ 48 keyspace in 24 hours. No small feat, it should therefore do about 3,257,812,230 hashes in a second. It does 800 concurrently, which makes for 4 million a second per SHA-1 unit. Ouch, that's really fast.
Note that this could be done with any hash or symmetric algorithm, as long as it can be implemented on FPGA. So the moral of the story: use very long password (or even better, pass phrases), or make sure that they won't be able to acquire the hash.
What? You mean TFA didn't have the right TLA's or FLA's or maybe FPGA's are just not your COT and SHA-1 is no BFD to you but to URG it's a BFD.
what?
j'ai découvert une démonstration vraiment admirable (de ce théorème général) que cette si
An FPGA really is conceptually very simple, and they're not hard to "program" either... Contrived example:
Verilog design to add/subtract 2 numbers (you'd never do this, but...)
Compare that to a K&R "C" routine to do the same thing...
In both cases, of course, you'd just use the 'if...else...' part, but I wanted to show more language structure...
:-), you don't get world-beating overnight, but it's relatively easy to get the 80% solution, and that might be just fine. Eking out the last 20% is where it gets hard, as you have to understand the internal structure of the LUTs, and how they interact with the carry-chain, what the LUT->LUT delay can be useful for etc. None of this is at all relevant unless you're missing your timing on a critical circuit (eg: you need 133MHz so your DDR2 SDRAM can work, but the synthesis tools (equivalent to a compiler) only deliver 125 MHz for your design).
The key thing to remember is that in C, all things happen serially, unless you arrange otherwise with threading libraries. In Verilog, any block beginning with 'always @' happens in parallel with every other 'always @' block. Once you've mentally-mapped the concept of vast numbers of threads to the way hardware works, any competent multi-threaded programmer can become a competent hardware engineer.
Of course, there's "guru stuff" in there as well (as much as you want, trust me
The 'always@' part is the hint of just where the power lies. *Everything* can happen in parallel, so you can build pipelines (like CPU's are pipelined today) into your logic, thus reducing the time taken per step (while taking multiple steps), thus increasing your clock rate. The benefit of course is that although the *first* result comes out in the same time, every clock thereafter, you'll also get a result.
I wrote a JPEG decoder a couple of years or so ago, running at ~130MHz. That doesn't sound much, but that comes to ~65 MPixels/second because of the pipelining. Looking at the SSE-optimised intel libraries, a CMYK422->CMYK baseline decode (which is what the FPGA was doing) takes 371 clocks/pixel. The intel chip I was comparing to was a 3.6GHz P4, meaning it could do ~9.7 Mpixels/second. For motion-jpeg that's the difference between decoding SD frames (for the P4) and decoding HD frames (for the FPGA)...
So, FPGAs tend to run slowly (relative to today's CPUs) but can exploit parallelism in ways CPUs just can't, but of course for serial processing, you can't beat a tradition
Physicists get Hadrons!
There are many libraries you can put on your FPGA. Some are open source, some costs A LOT. It's similar to a dll or a jar: you have an interface you bind to and you program your stuff around it. You can get modules to process FFTs, encryption, ethernet, VGA, sound, video, pretty much anything you can imagine. You can even use a CPU library to have a gereal cpu like your x86 and execute assembler instructions. You can even turn an FPGA into an old defunct cpu to repair an old electronic hardware. Amazing stuff!
Radicode
Well, common FPGA's are basically look-up tables surrounded by a sea of interconnect logic. The designer specifies the function of each LUT, and the connections between them using a language such as Verilog or VHDL. They're not "generic logic", they're defineable logic. Example: On a CPU, you have the 'add x,y' instruction - that's a chunk of logic on-chip. On an FPGA, that chunk of logic doesn't exist until you write a design that needs it.
You can buy (though I think they're very expensive) "IP cores", which are pre-packaged modules ready to plug-in-and-go. There are some free ones available as well. You may have to do more work to get the free ones to work [grin].
There are also built-in hard cores on modern FPGA's. You never used to be able to synthesize the statement "a = b * c;" in a verilog design, for example. Now that FPGA's have hardware multiplier blocks in them, it synthesises to a bunch of wires connecting up the LUTs to the built-in hardware. For the more-complex examples you suggest, it's best to implement them in logic, because an FFT (of a particular radix, input format (complex or real), and output requirements) is a very specific piece of hardware, and not generally useful to most customers.
You get multipliers, blocks of fast dual-port RAM, even entire processors (PPC) embedded into the FPGA fabric these days. Of course, you pay more for things like embedded CPUs... Funnily enough, a CPU is one of the easier things to write for an FPGA IMHO. You'll never get the speed of the FPGA fabric to match the hard-CPU core though...
To do what you're talking about though, you'd need a way to interface the FPGA to the PC - there's a freely available PCI core, so you'd then just need a card which had a PCI interface (there's one from Enterpoint for ~$150... Then you just need to link the PCI core to your own cores (FFT, whatever) and write software to offload any FFT's to your co-processor. Xilinx offer the "Embedded Development Kit" to make this easier (you have to pay for this, the other tools are free to download). I don't know if anyone has made the freely-available PCI core into an EDK module though...
Simon.
Simon
Physicists get Hadrons!