SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python
November 01, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Talaya Farasat, Atiqullah Ahmadzai, Aleena Elsa George, Sayed Alisina Qaderi, Dusan Dordevic, Joachim Posegga
arXiv ID
2411.00636
Category
cs.SE: Software Engineering
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Software vulnerabilities are a fundamental cause of cyber attacks. Effectively identifying these vulnerabilities is essential for robust cybersecurity, yet it remains a complex and challenging task. In this paper, we present SafePyScript, a machine learning-based web application designed specifically to identify vulnerabilities in Python source code. Despite Python's significance as a major programming language, there is currently no convenient and easy-to-use machine learning-based web application for detecting vulnerabilities in its source code. SafePyScript addresses this gap by providing an accessible solution for Python programmers to ensure the security of their applications. SafePyScript link: https://safepyscript.com/
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