Wordlist For Wpa Crack Tools

Sep 14, 2017 - Multiple diverse wordlists to attempt to crack the WPA handshake. We can also decide to use another tool in the Aircrack suite called.

• • • • • 3 • • • • Performing the Crack The Wi-Fi Alliance was wise to implement an eight character minimum for WPA-PSK. Making the key that long essentially renders brute force methods useless. This is because the number of possible typeable character combinations for keys of an eight character length is just above six quadrillion (that's 94 8 or about 6 x 10 15). So brute-force techniques won't be effective. What we can do, however, is limit the list of possible passphrases by making educated guesses, compute the hashes of those guesses and check them against our captured key.

This technique is referred to as a dictionary attack. BackTrack 5 R3 comes with a few simple wordlists, which can simply be opened as text files. I looked within the list and did not see my test password 'gilbert28' in the lists, so for purposes of demonstration I added it to the bottom. I know what you're going to say, what good is it if you simply add it to the bottom?

We'll get to that later. If you don't want to experiment with the simple wordlists included on the BackTrack distro, there are of wordlists around the 'net. I used a downloaded wordlist containing 172,746 keys. With that list I could mount a dictionary attack on the captured WPA handshake using aircrack-ng.

Aircrack-ng runs pretty fast on my attacking system (testing 172,746 keys took 3 minutes flat, that's 980 keys per second), and has native optimization for multiple processors. Even though it doesn't take a beefy system to run a WPA / WPA2 dictionary attack, I should note that I also ran this same attack on a Q8300 2.4 GHz quad-core and it finished the same list in one minute and 2 seconds, crunching 2,800 keys per second. Aircrack-ng attack Start a dictionary attack against a WPA key with the following: General Form: aircrack-ng -e AP_SID -w dictionary_file capture_file Example (BackTrack 5 R3): aircrack-ng -e 9105GirardCh6 -w passwords2.txt Ch6-01.cap Aircrack-ng shows the hex hashes of the keys as it tries them, which is nice since some attacks can take a long time. Figure 8 shows that Aircrack-ng took 3 minutes to find the test key 'gilbert28'. Figure 8: Aircrack-ng, Key Found!

Other Methods. If you've been paying attention, you know that I had to add this password to the end of my large dictionary file. The obvious limitation of these techniques is the existence of the key within the dictionary file used for the attack. WPA keys like 'dinosaur' or 'dictionary' can be easily cracked by aircrack-ng, but something like 'dinosaur52' or 'D1cti0nary' would not. Opm kar files opm services.

They would at least be missed by a plain-jane sweep through the dictionary and would take a couple million years to straight brute-force. It takes my laptop about 12 hours to crank through 45 million passphrases. This isn't exactly lightning fast. But things get a bit scarier when you look at the speed of cloud-based cracking services. That 12 hours it took above to crunch 45 million words can be done in way less than an hour via the cloud. Cloud-based cracking services will retrieve the password for you, for a small fee, of course. One such service is.

All you do is provide the authentication handshake (the file we looked at with WireShark), the SSID, and your credit card and they do the rest. CloudCracker.com is also not limited to WPA2 passwords, they'll retrieve NTLM, SHA-512, MD5 and MSCHAPv2 (PPTP VPN) passphrases, too. The table below shows the pricing structure I was presented with for my WPA / WPA2 crack: Price Dictionary size Number of Words Maximum Time $17 604 M 1 Hour $34 1,208 M 1 Hour $68 2,416 M 1 Hour $136 4,832 M 2 Hours Table 2: CloudCracker.com WPA / WPA2 Cracking Prices I made an executive decision and just went with the $17 cracking option, knowing full well that 'gilbert28' was not complex enough to withstand a 604 Million Word search. As expected, CloudCracker.com returned my password in 524 seconds (just under 9 minutes) from the moment I clicked Submit Job.

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