Discovering Website Directories and Files with FFUF


Key Features of FFUF:
  • High-Speed Web Fuzzing: FFUF lives up to its name, delivering fast and efficient web fuzzing to quickly identify hidden files and directories.
  • Go Language Foundation: Built in Go, FFUF benefits from the language's performance and versatility, ensuring a robust and reliable web fuzzing experience.
  • Customizable Parameters: FFUF offers a wide range of customization options, allowing users to tailor their fuzzing approach with parameters such as headers, HTTP methods, and more.
  • Intelligent Wordlist Usage: The tool supports the use of wordlists, enabling users to perform comprehensive fuzzing by iterating through potential paths and filenames.

Installation on Termux:

  1. Prepare Go Environment: Install Go on Termux by following the instructions on the Go Wiki.
  2. Install Git: Run the command pkg install git.
  3. Clone FFUF Repository: Execute git clone https://github.com/ffuf/ffuf.git.
  4. Compile and Install FFUF: Navigate to the ffuf directory, run go get, go build, and then move the binary with mv ffuf /data/data/com.termux/files/usr/bin/.

Installation on Linux:

  1. Prepare Go Environment: Install Go on Linux by following the official Go installation instructions.
  2. Install Git: Run the command sudo apt-get install git.
  3. Clone FFUF Repository: Execute git clone https://github.com/ffuf/ffuf.git.
  4. Compile and Install FFUF: Navigate to the ffuf directory, run go get, go build, and then move the binary with sudo mv ffuf /usr/local/bin/.

Usage of FFUF:

Utilize FFUF with the following command as an example:

ffuf -u https://example.com/FUZZ -w wordlist.txt

Replace https://example.com/FUZZ with your target URL and customize it according to your wordlist.

FFUF provides extensive customization options, allowing users to adapt headers, HTTP methods, and other parameters. Refer to the official FFUF documentation for more details.

You are now ready to harness the power of FFUF to identify potential vulnerabilities and explore web applications efficiently.

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