Black-box web application vulnerability scanners are automated tools that probe web applications for security vulnerabilities. In order to assess the current state of the art, we obtained access to eight leading tools and carried out a study of: (i) the class of vulnerabilities tested by these scanners, (ii) their effectiveness against target vulnerabilities, and (iii) the relevance of the target vulnerabilities to vulnerabilities found in the wild. To conduct our study we used a custom web application vulnerable to known and projected vulnerabilities, and previous versions of widely used web applications containing known vulnerabilities. Our results show the promise and effectiveness of automated tools, as a group, and also some limitations. In particular, “stored” forms of Cross Site Scripting (XSS) and SQL Injection (SQLI) vulnerabilities are not currently found by many tools. Because our goal is to assess the potential of future research, not to evaluate specific vendors, we do not report comparative data or make any recommendations about purchase of specific tools.
State of the art automated black-box web application vulnerability testing
| Available Media | |
|---|---|
| Conference | Security and Privacy (S&P) - 2010 |
| Authors | Jason Bau , Elie Bursztein , Divij Gupta , |
| Citation | BibTeX |
Recent
ai
Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
publications
Usenix Security 2026
ai
ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
publications
NeurIPS 2026
Cybersecurity
DROIDCCT: Cryptographic Compliance Test via Trillion-Scale Measurement
publications
ACSAC 2025