Machine learned model for generating opinionated threat assessments of security vulnerabilities
US-2024411898-A1 · Dec 12, 2024 · US
US9392011B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9392011-B2 |
| Application number | US-201113811060-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 19, 2011 |
| Priority date | Jul 21, 2010 |
| Publication date | Jul 12, 2016 |
| Grant date | Jul 12, 2016 |
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A Web vulnerability repair apparatus ( 50 ) detects the presence of a vulnerability of a Web application of a Web server ( 30 ) and the type of the vulnerability. The Web vulnerability repair apparatus ( 50 ) can acquire countermeasure information aimed to repair the vulnerability, according to the type of vulnerability. In addition, the Web vulnerability repair apparatus ( 50 ) repairs the vulnerability of the Web application of the Web server ( 30 ) using the countermeasure information. By this repair, it is possible to improve the security during the period from the time when a vulnerable part in a Web application is discovered to the time when it is manually repaired.
Opening claim text (preview).
The invention claimed is: 1. A Web vulnerability repair apparatus comprising: a connection unit that connects to a countermeasure information storage unit, which stores vulnerability specification information and countermeasure information indicating a method of repairing vulnerability indicated by the vulnerability specification information so as to correspond to each other for each type of vulnerability of a Web application; a vulnerability information acquisition unit that ac…
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