A Summary of Fuzzing Tools and Dictionaries For Bug Bounty Hunters

Fuzzing is a process that can be implemented using tools such as Wfuzz, ffuf, etc. You need to provide the tool with a target URL, parameters, endpoints, etc., and some kind of input.

The fuzzing tool then makes requests and sends them to the target one by one. After fuzzing is complete, the response, timing, and status codes need to be analyzed for vulnerabilities.

Tools for Fuzzing

There are hundreds of tools in the industry for fuzzing. Some of the top-rated popular fuzzing tools are listed below.

Wfuzz

Wfuzz works by replacing placeholders  FUZZ with wordlist values. To understand this more clearly, let's consider an example:

In the above command, userIds.txt is a wordlist file containing numeric ID values. Here, we tell wfuzz to fuzz a request for an example URL. Note the word FUZZ in the URL, it will act as a placeholder for wfuzz to replace the value in the word list. All numeric ID values ​​of the file will be inserted in userIDs.txt, replacing  FUZZ keywords.

Ffuf

Ffuf is a network fuzzing tool written in Go which is very fast and recursive in nature. It works like Wfuzz, but it's recursive by comparison. Ffuf also works by replacing placeholders with wordlist values  FUZZ. E.g:

Here  -w is the wordlist logo, -u but the target URL logo. The rest of the working mechanism is the same as Wfuzz. It  userIDs.txt replaces  FUZZ placeholders with values.

GoBuster

GoBuster is another fuzzer written in Go, most commonly used to fuzz URIs, directories/paths, DNS subdomains, AWS S3 buckets, and virtual hostnames, and supports concurrency. E.g:

In the above command, dir specifies that we are fuzzing a directory, -u is the flag for the URL, which is the flag -w for wordlist, where  endpoints.txt is the wordlist file from which the payload will be fetched. The command runs concurrent requests to the endpoint to find available directories.

Fuzz Dictionaries and References

In the above example, we have seen why we need a dictionary. A dictionary alone is not enough, it must be very suitable for your fuzzing scenario. If you don't find any vocabulary that fits the necessary scenario, consider generating your own dictionary. Some popular dictionaries and references are provided below.

Wordlists

https://github.com/orwagodfather/WordList

https://github.com/Karanxa/Bug-Bounty-Wordlists

https://wordlists.assetnote.io/

https://github.com/six2dez/OneListForAll

Summary

Just to be clear, not everyone uses fuzzing tools. Everyone has different habits and methods.

Using a fuzzing tool is not mandatory. Depending on your conditions and situation, you can use fuzzing tools that will help you save time.

Fuzzing a large number of requests can cause your IP address to be banned by the target, and some people agree to do all the work manually instead of using a fuzzing tool. So it's up to you to manually test for vulnerabilities or let a fuzzing tool do it for you automatically

Source :- https://tutorialboy24.blogspot.com/2022/11/a-summary-of-fuzzing-tools-and.html