Automatic Penetration Testing Using Python
Author(s): John Komarthi
Publication #: 2506017
Date of Publication: 13.06.2025
Country: USA
Pages: 1-11
Published In: Volume 11 Issue 3 June-2025
DOI: https://doi.org/10.5281/zenodo.15657994
Abstract
Automatic penetration testing is where software and scripts are used to simulate attacks on systems to find any security weaknesses or vulnerabilities. This whitepaper will explore how Python is used to enhance automated penetration testing, This paper will also cover the fundamental concepts, methodologies, tools, and future developments in this area. The paper will explore what automatic penetration testing entails and how the simplicity of Python and its rich library ecosystem make it the preferred language for security automation. The methodology to conduct automatic penetration testing is shown, along with the common practices, scripting techniques, and integration with popular tools and frameworks. The limitations of current automation are a lack of human context, difficulty with complex multi-step attacks, and false positives. Strategies to overcome these challenges by blending automation and human expertise along with advanced AI techniques will also be discussed. Real-world use cases from industry will be explored to demonstrate the impact of automated testing, including continuous security validation of enterprise environments and cost savings that can be achieved through automated penetration testing platforms. Future directions and research opportunities such as integration of machine learning to create more intelligent automated penetration testing agents.
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