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Best Word List For Fern Wifi Cracker Key: Tips and Tricks for Successful Wifi Hacking



Hello admin,I want to ask u. I already download dictionary. I am extracted it on my desktop but when i use ( aircrack-ng -w wordllist.text -b E8:94:F6:5B:C3:21 crack-wpa-01.cap) after this its show # aircrack-ng -w wordlist.text -b E8:94:F6:5B:C3:21 crack-wpa-01.capFopen(dictionary) failed : no such file or directoryOpnening crack-wpa-01.caphope u help me thanks




Best Word List For Fern Wifi Cracker Key



No one has 4000 TB just for word lists. NSA maybe. For best results try reaver and pixidust. Github has them all ready for download. Aircrack is great but in the end the cracking process is forever. What takes 2 days can be done in minutes with hashcat. Hope this helps


hi, i`m using aircrack- nk on kali. i`m learning quite quickly, but could you please tell me this?firstly, what file extention will it except for the word lists, and how do i make it use multiple lists, when they are all over the machine (it`s a fresh install) Thank you in advance.


Common.txt is the wordlist that comes with the Fern program, but any wordlist you download or have created on your own can be used by hitting the Browse button and pointing Fern to the alternative wordlist file.


Here we need a dictionary file. A dictionary file/wordlist is a text file that contains lots of passwords. Our attack will follow the brute-force method first it capture the handshake file from the WiFi network then it try to crack the handshake file by brute-force method from our given password file. We will discuss about how it works later.


Now these passwords are encrypted and we need a list of password and our tool with match this hash one by one from our given passwordlist (wordlist or dictionary file). This is brute-force attack. If the password will be in our list then we can get it easily. Bigger size of wordlists can increase provide us higher success rate. Come on almost everyone uses common passwords, because these kind of passwords are easy to remember.


Beginners learning brute-forcing attacks against WPA handshakes are often let down by the limitations of default wordlists like RockYou based on stolen passwords. The science of brute-forcing goes beyond using these default lists, allowing us to be more efficient by making customized wordlists. Using the Mentalist, we can generate millions of likely passwords based on details about the target.


Password cracking is a long-established art, relying on a combination of brute-force processing power and the ability to refine your list down to likely options based on what you know about a target. Many security protocols are vulnerable to brute-forcing attacks, which at its core relies on a few key principals.


First, you must be allowed to try different passwords many times very quickly. Second, you need to be able to determine the difference between a password success and failure. Third, you need a list of passwords to automatically try very quickly. And finally, the password must be present in the list in order for the attack to succeed. As password lists get bigger, CPU and GPU performance becomes more important as the rate at which passwords can be attempted is sped up.


Rather than simply start with a dictionary-style attack, a smart attacker will often first look for lists that contain real passwords. These lists are generally regarded as the starting point for these sorts of techniques, as they will work against anyone with a truly awful or common password. In the wild, you can expect success rates of around 15% for these sorts of password audits. Obviously, if you are targeting a specific account or network, this is a pretty small chance of success.


That being said, you can still use these lists as a seed for a more refined attack based on information you know about the target. The reason these lists are effective is that you can think of them as a statistical survey of the most common passwords people use in the wild. Since the average user will reuse these passwords in multiple accounts, we can use the most common passwords as a seed to change small things, like adding or removing numbers, in a program called a word mangler.


With some research, we can supply the data for wordlist creator programs which takes information learned about a target and generates a custom wordlist based on details it's likely the user may have created their password from.


There are a number of options for creating wordlists besides a simple dictionary, and the one we'll explore today is Common User Passwords Profiler (or CUPP). A lightweight, simple Python program, CUPP is capable of generating an impressive seed of personalized password guesses. Other tools, like CeWL, allow for target websites to be scraped for unique words in order to use words that are common across the organization.


The example above produced 14,301 words in our test file, which is a great start, but nowhere near enough to wage an effective brute-force attack. However, we can use this output to use a more sophisticated wordlist creator called a word mangler to apply certain rules to these initial seeds to make a much larger password list to pull from.


A word mangler creates new password guesses from a list of "seed" passwords, according to preset rules. This can be a very simple change, like applying a single change to the end of each seed password, or a more complex one, like adding every number from 0-9 to the end of each seed password. The latter would yield 10 new passwords guesses for every one password that goes into the program, so these lists can get large very quickly.


To manage these rules easily, we'll be using a graphical program called the Mentalist that will allow us to create a "chain" of these rules to apply to our seed password list. We can also throw in other seeds besides our password list, like the words in the English dictionary. In general, the major "nodes" that can be applied to the base word list will append, prepend, change the case, or substitute letters from the words passed through them.


As you can see in the example below, applying only a few rules to the chain can lead to a huge increase in the size of your password list. This isn't necessarily good, as we'll need to to have a processor capable of actually chewing threw these password guesses. This password list of over a billion guesses is probably overkill. The size of the list depends on the number and type of nodes you apply, but we'll go through each of them.


Once we have the base words added from CUPP, we can start adding our word mangling nodes. To create a chain, we will need to apply all of the rules we'd like to apply to our password guesses in sequence. We can explore the four main types of nodes we can add by clicking on the plus button in the top-right corner. This will give us a list of case modification, substitution, prepend, or append.


For our first node, we can apply a "Case" node to modify the case of our generated password guesses. Once we select the node, we can click the plus button next to the node we created to see a list of options. We have the ability to modify uppercase or lowercase in different ways. Here, we'll set the first letter to uppercase, and all following letters to lowercase. Since this operation only creates one output per word from our base list, you won't see the size of the wordlist file change yet.


We've produced a wordlist with a lot of outputs! This file would be 8.3 GB of password guesses to save. While this may be fine for some scenarios, we can also compress this with the option to save these options instead as a set of rules to dynamically generate the same list with tools like Hashcat or John the Ripper. To save your wordlist as either a wordlist file or as a set of rules, click the "Process" icon in the top-right corner, and select if you'd like to output the wordlist or rules.


Once you save your final list, you've created a large, customized set of password guesses tailored to the individual user. This wordlist should be much more effective at brute-forcing a target you know more information about, and can benefit even more if you have examples of the password policy for the account you're trying to hack or a previously breached password.


Creating a custom password list of several million potential guesses based on details about the target is easy and requires only a small amount of research. I hope this guide has given you a window into the science of password cracking, and encourage you to explore how much further you can go with increasing the performance of brute-force attacks.


I was wondering that how to create a word list to be used in brute force that it creates a word use it in brute force and then the word is destroyed, that is the word list is not stored in my system because the actual word list used in brute force attacks are around tera bytes of memory. So if there is any way that while brute forcing we can create a word , use it and if it matches the password the program terminates else if it keeps on checking and then destroying the word but does not keep it for storage.


You can create your own wordlist or use existing ones that's been compiled by others. Usually wordlists are derived from data breaches like when a company gets hacked. The data stolen is then sold on the dark web or leaked on certain websites such as Pastebin.


I've personally tried it and was able to crack 3/10 wifi networks near me. Just bare in mind that using password cracking tools takes a lot of time, especially if done on a computer without a powerful GPU.


The main advantage of fluxion is that it doesn't use any wordlist or perform bruteforce attack to break the key.Fluxion creates a Open twin Ap of the target network.When someone tries to connect to that network a fake authentication page pops up asking for key.When user enters the key, fluxion captures that key and provides us.


Just thought i would share the link for those who are looking for a decent list to pen test their networks.The list contains 982,963,904 words exactly no dupes and all optimized for wpa/wpa2. Would also just like to point out that this is not my work, instead it was a guy who compiled a whole load of useful lists, including his own to come up with 2 lists (one is 11gb and one is 2gb) i will be seeding this torrent indefinitely since it is shareware! 20mb up!INFO 2ff7e9595c


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