Evaluation of Static Analysis on Web Applications
Osejobe Ehichoya, Chinwuba Christian Nnaemeka

TL;DR
This paper evaluates the effectiveness and limitations of static analysis and vulnerability scanners in detecting security flaws in web applications, highlighting the prevalence of vulnerabilities and the need for improved testing methods.
Contribution
It provides a qualitative assessment of existing vulnerability scanners and discusses static analysis approaches for identifying security issues in web applications.
Findings
Many vulnerabilities are present in web services, often undetected by scanners.
Significant false positives are observed in vulnerability detection.
Static analysis offers a complementary approach to improve security testing.
Abstract
Web services are becoming business-critical components, often deployed with critical software bugs that can be maliciously explored. Web vulnerability scanners allow the detection of security vulnerabilities in web services by stressing the service from the point of view of an attacker. However, research and practice show that different scanners perform differently in vulnerability detection. This paper presents a qualitative evaluation of security vulnerabilities found in web applications. Some well-known vulnerability scanners have been used to identify security flaws in web service implementations. Many vulnerabilities have been observed, which confirms that many services are deployed without proper security testing. Additionally, having reviewed and considered several articles, the differences in the vulnerabilities detected and the high number of false positives observed highlight…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWeb Application Security Vulnerabilities · Network Security and Intrusion Detection · Advanced Malware Detection Techniques
