Indeed the cluster supports everything that Hashcat supports. The media is also focused on brute force times, and the cluster supports far more than just brute force. We will be posting benchmarks for -plus soon as well. We have posted full benchmarks for -lite on the Hashcat forums. We support all 45+ algorithms supported by oclHashcat-plus and oclHashcat-lite. We have the flexibility to crack passwords of various lengths and run multiple attack modes.Īnyway, I’m not sure why the media chose to focus on LM/NTLM. And of course the fixed length of rainbow tables is also problematic. When you have an entire AD dump of 60k+ hashes however, rainbow tables are way too slow, even if you are using GPU tables and SSDs. Rainbow tables are great if you only have a couple hashes, and are sure the password is less than 8 chars.
![hashcat speed words persecond hashcat speed words persecond](https://img.secondsale.com/PRO04249981.jpg)
MD4 is in fact a broken cryptographic hash however, its cryptographic strength has nothing to do with why it is a poor choice for hashing passwords. The NT Hash algorithm employs MD4, which is a cryptographic hash. Well no, NTLM cannot be considered a cryptographic hash, because isn’t a cryptographic hash. Just download the rainbow table and can do the same thing with much less processing power.” A real benchmark would be crunching SHA-256 or 512 hashes.” Why people continue to use it, I’ll never know. Not to mention the complete lack of salting, which allows a simple rainbow table to crack it in minutes if not seconds. It’s full of flaws, and can be broken very easily. > “To be fair, NTLM can hardly be considered a cryptographic hash. I don’t know, it’s not exactly sitting in my house. > “How big a room can one of these heat?” There is also the legitimate side of hash cracking as well, such as penetration testing and domain auditing. Cruise on over to InsidePro’s forums sometime. KoreLogic estimates over 467 million password hashes have been leaked in the past year, not including stuff on pastebin. It is not uncommon to exploit vulnerabilities which only grant some level of read permission, without the ability to obtain a shell or escalate privileges. You say that as if it’s hard to obtain hashes. If you can get those then the security’s not up to scratch anyway.” > “Useful if you have the hashed passwords. The complexity of password cracking demands something in the middle between CPU and FPGA, and GPUs are by far the sweet spot. FPGAs do not provide the flexibility needed to support multi-hash, multi-algorithm, and multi-attack modes. For something as dynamic and flexible as password cracking, FPGAs are less than optimal. > “There are lots of bitcoin fpga mining farms 10 – 100 times more powerful than this.”įPGAs are great for brute forcing a single raw cryptographic hash - which is why they’re great for Bitcoin mining. The one large rig is a TYAN FT77B7015 barebones, the other systems in the cluster are primarily Chenbro RM41300-FS81 + Gigabyte GA-990FXA-UD7. > “Sure, using a lot of hardware to compute hashes is neat and all, but I want to find that motherboard that has 8 PCI-Express x16 slots.” I see a lot of misunderstandings in the comments, and I have selected a few for response: Hi, I’m Jeremi Gosney, the subject of this article. Posted in Security Hacks Tagged gpu, hash, lm, ntlm, password Post navigation Login protocols will lock out after a certain number of attempts and have measures in place to slow down automated systems like this one. Of course this type of hardware is only good if you have a copy of the password hashes themselves. An eight character NTLM password will fall in 5.5 hours, while a 14 character LM hash makes it only about six minutes before the solution is discovered.
![hashcat speed words persecond hashcat speed words persecond](https://i.redd.it/p96j1mdhctb41.jpg)
The NTLM is a bit stronger and fared better than the LM, but that’s not actually saying much. The testing was used on a collection of password hashes using LM and NTLM protocols. How can one understand 348 billion hashes per second?
![hashcat speed words persecond hashcat speed words persecond](https://newswand.files.wordpress.com/2022/07/fastest-star.jpg)
It’s so fast that the actual specs are beyond our comprehension. This project strings together 25 GPU cards in 5 servers to form a super fast brute force attack. As we’ve heard before, a graphics processing unit is uniquely qualified to process encryption hashes quickly (we’ve seen this with bitcoin mining). But they’re not the only benefactors to these advances. It’s our understanding that the video game industry has long been a driving force in new and better graphics processing hardware.