SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866912100290396160 |
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| author | Farasat, Talaya Ahmadzai, Atiqullah George, Aleena Elsa Qaderi, Sayed Alisina Dordevic, Dusan Posegga, Joachim |
| author_facet | Farasat, Talaya Ahmadzai, Atiqullah George, Aleena Elsa Qaderi, Sayed Alisina Dordevic, Dusan Posegga, Joachim |
| contents | 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/ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_00636 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python Farasat, Talaya Ahmadzai, Atiqullah George, Aleena Elsa Qaderi, Sayed Alisina Dordevic, Dusan Posegga, Joachim Software Engineering 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/ |
| title | SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2411.00636 |