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ML HTTP Fuzzer

HTTP Fuzzer backed with Machine Learning. The concept is shown on fuzzing of a server HTTP headers. More explanation to the idea can be found here.

Installation

pip3 install -r requirements.txt

or

docker pull uranusq/ml_fuzz

Usage

  • Newline-separated URLs in file:
python main.py -f ./data/test_urls.txt
  • Single URL usage with debug output:
python main.py -u https://youtube.com -d

Debug output also contains model predictions. Example output: image

  • Docker usage:
docker run -it uranusq/ml_fuzz -u https://instagram.com -d

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