Advancing Cybersecurity: Semi-Automated Penetration Testing for Enhanced Vulnerability Detection

In the face of increasing cyberattacks, organizations today depend heavily on information technology resources, making regular penetration testing crucial for identifying system vulnerabilities and potential exploits. While automated vulnerability management tools are widely used, they often present challenges such as result interpretation, irrelevant findings, and overwhelming volumes of data that complicate the extraction of critical information. Manual penetration testing, on the other hand, offers greater flexibility, enabling professionals to tailor their methods to the specific characteristics of a given environment. This study focuses on semi-automated penetration testing, blending automated efficiency with manual adaptability, to identify vulnerabilities in a web application, providing insights into optimizing vulnerability detection processes.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.07.043
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing Cybersecurity: Semi-Automated Penetration Testing for Enhanced Vulnerability Detection

Fredrik Blix, Oliver Popov, Elias Seid, Radina Busheva
Procedia Computer Science
Network Security and Intrusion Detection
article

Advancing Cybersecurity: Semi-Automated Penetration Testing for Enhanced Vulnerability Detection

Fredrik Blix, Oliver Popov, Elias Seid, Radina Busheva
article en

Abstract

In the face of increasing cyberattacks, organizations today depend heavily on information technology resources, making regular penetration testing crucial for identifying system vulnerabilities and potential exploits. While automated vulnerability management tools are widely used, they often present challenges such as result interpretation, irrelevant findings, and overwhelming volumes of data that complicate the extraction of critical information. Manual penetration testing, on the other hand, offers greater flexibility, enabling professionals to tailor their methods to the specific characteristics of a given environment. This study focuses on semi-automated penetration testing, blending automated efficiency with manual adaptability, to identify vulnerabilities in a web application, providing insights into optimizing vulnerability detection processes.

Procedia Computer ScienceVol. 263
Stockholm University (SE)
Openalex Percentile: Top 77%
Network Security and Intrusion Detection
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Advancing Cybersecurity: Semi-Automated Penetration Testing for Enhanced Vulnerability Detection — Fredrik Blix, Oliver Popov, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS