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Vishnu Das Puthukudi
Vishnu Das Puthukudi

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Implementing Rate Limiting in PyFuzz: Responsible Web Fuzzing

PyFuzz is a powerful subdomain and directory fuzzer for Python that aids web developers and security researchers in finding hidden resources on a target website. While going through the code, I found an issue where they were facing which is #Issue7 - Add rate limiting Feature In order to maintain ethical testing procedures, responsible online fuzzing entails limiting the amount of queries sent to the target server. We will look at how we enhanced PyFuzz with a the rate-limiting feature to promote responsible testing in the blog article.

Rate limiting feature in PyFuzz to control the number of requests made per second. Rate limiting is implemented to prevent overloading the target server and to ensure responsible use of the tool.

The changes which I have made for implementing this feature are

  • Added a rate limit constant (RATE_LIMIT) that sets the number of requests per second.
  • Incorporated rate limiting logic to pause for an appropriate interval
  • Enhanced code to improve server interaction and reliability between requests.

Thank you for reviewing this contribution.

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