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OWASP Benchmark Scorecard for FBwFindSecBugs v1.4.0 (SAST)

The OWASP Benchmark is a test suite designed to evaluate the speed, coverage, and accuracy of automated vulnerability detection tools. Without the ability to measure these tools, it is difficult to understand their strengths and weaknesses, and compare them to each other. The Benchmark contains thousands of test cases that are fully runnable and exploitable. The following is the scorecard for the tool FBwFindSecBugs against version 1.2 of the Benchmark. It shows how well this tool finds true positives and avoids false positives in the Benchmark test cases.

For more information, please visit the OWASP Benchmark Project Site.

Statistics

Tool elapsed analysis time 0:01:50
Tool overall score (0-100) 11.65%
Total test cases 2740
Download raw results Actual Results

Detailed Results

CategoryCWE #TPFNTNFPTotalTPRFPRScore
Command Injection789333309525173.81%76.00%-2.19%
Cross-Site Scripting79324320904551.22%0.00%1.22%
Insecure Cookie614036310670.00%0.00%0.00%
LDAP Injection904232395914.81%28.12%-13.31%
Path Traversal22112212810726884.21%79.26%4.95%
SQL Injection8914612610312950453.68%55.60%-1.93%
Trust Boundary Violation5010834301260.00%0.00%0.00%
Weak Encryption Algorithm3279733506624674.62%56.90%17.72%
Weak Hash Algorithm32828101107023621.71%0.00%21.71%
Weak Random Number33021802750493100.00%0.00%100.00%
XPath Injection64315002035100.00%100.00%0.00%
Totals*7166998994262740
Overall Results*47.64%35.99%11.65%

*-The Overall Results are averages across all the vulnerability categories. You can't compute these averages by simply calculating the TPR and FPR rates using the values in the Totals row. If you did that, categories with larger number of tests would carry more weight than categories with less tests. The proper calculation of the Overall Results is to add up all the TPR, FPR, and Score values, and then divide by the number of vulnerability categories, which is how they are calculated.

Key

Common Weakness Enumeration (CWE) The primary MITRE CWE number for this vulnerability category.
True Positive (TP) Tests with real vulnerabilities that were correctly reported as vulnerable by the tool.
False Negative (FN) Tests with real vulnerabilities that were not correctly reported as vulnerable by the tool.
True Negative (TN) Tests with fake vulnerabilities that were correctly not reported as vulnerable by the tool.
False Positive (FP) Tests with fake vulnerabilities that were incorrectly reported as vulnerable by the tool.
True Positive Rate (TPR) = TP / ( TP + FN ) The rate at which the tool correctly reports real vulnerabilities. Also referred to as Recall, as defined at Wikipedia.
False Positive Rate (FPR) = FP / ( FP + TN ) The rate at which the tool incorrectly reports fake vulnerabilities as real.
Score = TPR - FPR Normalized distance from the random guess line.