Research Article
Performance-Based Comparative Assessment of Open Source Web Vulnerability Scanners
Table 5
Scanners’ detection accuracy of SQL attacks.
| | Scanner | Version | TPR | TNR | FPR | FNR | PPV | NPV | FOR | Accuracy | -measure |
| | Arachni | 0.4.3 | 99.26% | 80% | 20% | 0.74% | 98.53% | 88.89% | 11.11% | 97.93% | 98.89% | | Arachni | 1.0.2 | 100% | 100% | 0% | 0% | 100% | 100% | 0% | 100% | 100% | | Wapiti | 2.3.0 | 97.04% | 80% | 20% | 2.96% | 98.50% | 66.67% | 33.33% | 95.86% | 97.76% | | Skipfish | 2.1 | 77.04% | 100% | 0% | 22.96% | 100% | 24.39% | 75.61% | 78.62% | 87.03% |
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