When the execution of the ffuf tool is started the tool firstly checks its default configuration file exits or not. Mostly the path of the configuration file is at ~/.ffufrc /$HOME/.ffufrc or can be at /home/gaurav/.ffufrc. In Windows OS this path can vary and mostly it can be at %USERPROFILE%\.ffufrc. There are configuration options provided on the terminal that override the ones loaded from the ~/.ffufrc file. For example, If you wish to use a bunch of configuration files for various scenarios, then you can define the configuration file path by using the -config tag which takes the file path to the configuration file as its parameter.

In this article, we will learn how to use Ffuf, a fast web fuzzer written in Go. You will learn how to fuzz your way to find directories and files and bypass the authentication of a website using ffuf. Then you'll learn how to defend against these types of attacks.


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Note: Before we dive into using ffuf, I would like to emphasize that this tutorial is only meant to help you defend yourself against fuzzing attacks. If you use this material for malicious purposes, I am not responsible.

The order of the wordlists control in what order the requests are sent. In clusterbomb mode (default) ffuf will iterate over the entire first wordlist before moving on to the second item in the second wordlist.

ffuf will try every directory for the first domain, then every directory on the second domain.When running with many threads, this means sending 1000 requests to the same server in a very short amount of time. This often leads to getting rate-limited or banned.

Fuzz POST JSON data. Match all responses not containing text "error".ffuf -w entries.txt -u -X POST -H"Content-Type: application/json" -d '{"name": "FUZZ", "anotherkey":"anothervalue"}' -fr "error"

a)

Web Fuzzing. According to OWASP, web fuzzing is an act of automatic bug and software implementation fault finding. Goal of this exercise is to try different types of fuzzing with tool called ffuf. Ffuf is a fast web fuzzer written in Go.

I spent too much time on brute forcing login screen with ffuf, and never got it to work as intended. I used metasploitable2 dvwa login.php page as a target. First I intercepted the POST request to see how it looked like:

Ffuf is used for directory and file bruteforcing while domains.txt contains valid HTTP and HTTPS URLs like , I used xargs to speed up the process by running 10 parallel instances. But the problem here is I am unable to store output for each instance separately and output.json is getting override by every running instance. Is there anything we can do to make output.json unique for every instance so that all data gets saved separately. I tried ffuf/$(date '+%s').json instead but it didn't work either.

I would replace your ffuf command with the following script, and call this from the xargs command. It just strips out the invalid file name characters and replaces them with a dot then runs the command:

Something has to be done. Note the User-Agent ? What I remember from class discussion, the Content-Type has to be set. That goes into POST request header (-H). The ffuf syntax is very close to curl, so there is some familiarity here.

The art of fuzzing is a vital skill for any penetration tester or hacker to possess. The faster you fuzz, and the more efficiently you are at doing it, the closer you come to achieving your goal, whether that means finding a valid bug or discovering an initial attack vector. A tool called ffuf comes in handy to help speed things along and fuzz for parameters, directors, and more.

At the most basic level, we can use ffuf to fuzz for hidden directories or files. There are tools like gobuster out there that are made for this specific purpose, but using something like ffuf has its use cases.

For example, let's say you're testing a website that has some sort of rate-limiting in place. With other tools, it can sometimes be challenging to get them to go slower, and this is precisely where tools like ffuf come into play since we can more finely control the rate and timing options. More on that later.

After the nice little banner, we can see the request method, URL, and some other options that are set. When ffuf comes across something in the wordlist, it will give us the name of the file or directory, the HTTP status code, and some information about the request length.

In this tutorial, we learned a bit about fuzzing and how to use a tool called ffuf to fuzz for directories, parameters, and more. First, we installed the tool and configured it to run on our system. Next, we covered some basic fuzzing, including fuzzing GET requests, POST requests, and parameters. Finally, we concluded with some filtering and timing options for more fine-grained control. Hopefully, you find ffuf as valuable as we do!

All of the above-mentioned open-source tools are some examples of web and binary fuzzers. you can download and try each one if you are able to. but today, we are going to see the power of ffuf web fuzzer. If I get some requests for an article on binary fuzzers, maybe I will write one.

ffuf is such an amazing fuzzing tool for HTTP traffic made with go-lang. It is now officially part of kali-tools which means if you are using KaliLinux you can install it using apt package manager as they have added it into their own repository.

However, as a reminder ffuf stands for Fuzz Faster U Fool. If ffuf is not named bfuf for Bust Faster U Fool there is a reason. The same logic applies to a counterpart named wfuzz. Their name includes the word fuzz and not buster because, in addition to enumerating web resources using word list attacks, both tools are capable of fuzzing.

The counterparts of ffuf that only enumerate web resources only inject the test set in one place: after the URL, for example _DATA. Also no dataset generator is supported, it is only possible to specify a file which will be a list of strings with one string per line.

Whereas ffuf can inject datasets anywhere: after the URL of course but also in GET or POST parameters, in HTTP headers, etc. The basic operation is simple, you just have to place the keyword FUZZ at the place where you want to inject the dataset. But later on, we will see that it is possible to use several datasets in parallel.

Note: The current behavior of ffuf is quite annoying, as it raises an error when a dictionary is defined but not used cf. ffuf#572. This behavior can still be acceptable when using options via CLI but makes the use of the wordlists option in the configuration file almost useless.

Of course ffuf has options to limit the number of requests sent, handle timeouts, recursion, the number of threads, remove comments from a list, replace a keyword in a list that serves as a template, etc., but these are easy to learn by reading the following resources:

If we want ffuf to show only that data which is important in our web fuzzing data. Then it will help us to showcase only matched according to the parameter. Example: HTTP code, Lines, Words, Size and Regular Expressions.

Discovering a vulnerable parameter could lead to file inclusion, path disclosure, XSS, SQL injection, or even command injection. Since ffuf allows you to put the keyword anywhere we can use it to fuzz for parameters.

At this point, we could generate a wordlist and save a file containing integers. To cut out a step we can use -w - which tells ffuf to read a wordlist from stdout. This will allow us to generate a list of integers with a command of our choice then pipe the output to ffuf. Below is a list of 5 different ways to generate numbers 0 - 255.

$ ffuf -u -c -w /usr/share/seclists/Discovery/DNS/subdomains-top1million-5000.txt -fs 0$ ffuf -u -c -w /usr/share/seclists/Discovery/DNS/subdomains-top1million-5000.txt -H 'Host: FUZZ.google.com' -fs 0

As you start to use ffuf more, some options will prove to be very useful depending on your situation. For example, -ic allows you to ignore comments in wordlists that such as headers, copyright notes, comments, etc

ffuf is:ffuf is a fest web fuzzer written in Go that allows typical directorydiscovery, virtual host discovery (without DNS records) and GET and POSTparameter fuzzing.There are three methods to install ffuf on Kali Linux. We can use apt-get, apt and aptitude. In the following sections we will describe each method. You can choose one of them.

Update apt database with apt-get using the following command.sudo apt-get updateAfter updating apt database, We can install ffuf using apt-get by running the following command:sudo apt-get -y install ffufInstall ffuf Using aptUpdate apt database with apt using the following command.sudo apt updateAfter updating apt database, We can install ffuf using apt by running the following command:

If you want to follow this method, you might need to install aptitude on Kali Linux first since aptitude is usually not installed by default on Kali Linux. Update apt database with aptitude using the following command.sudo aptitude updateAfter updating apt database, We can install ffuf using aptitude by running the following command:sudo aptitude -y install ffufHow To Uninstall ffuf on Kali LinuxTo uninstall only the ffuf package we can use the following command:

To uninstall ffuf and its dependencies that are no longer needed by Kali Linux, we can use the command below:sudo apt-get -y autoremove ffufRemove ffuf Configurations and DataTo remove ffuf configuration and data from Kali Linux we can use the following command:

We can use the following command to remove ffuf configurations, data and all of its dependencies, we can use the following command:sudo apt-get -y autoremove --purge ffufDependenciesffuf have the following dependencies:libc6Referencesffuf websiteSummaryIn this tutorial we learn how to install ffuf package on Kali Linux using different package management tools: apt, apt-get and aptitude.

Today, the specialists of the Cyber Security 360 course of the International Institute of Cyber Security (IICS) will show us in detail the use of Fuzz Faster U Fool (ffuf), a free and easy-to-use fuzzing tool, using the command line method for configuration on web servers. ff782bc1db

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