Machine learned model for generating opinionated threat assessments of security vulnerabilities
US-2024411898-A1 · Dec 12, 2024 · US
US8990949B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990949-B2 |
| Application number | US-201313768645-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 15, 2013 |
| Priority date | Feb 15, 2013 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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Methods and systems for automatic correction of security downgraders includes performing a security analysis that disregards existing user-provided downgraders to detect flows that are vulnerable; locating candidate downgraders on the flows; determining whether each of the candidate downgraders protects against all vulnerabilities associated with each downgrader's respective flow; and transforming candidate downgraders that do not protect against all of the associated vulnerabilities, such that the transformed downgraders do protect against all of the associated vulnerabilities.
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What is claimed is: 1. A method for automatic correction of security downgraders, comprising: performing a security analysis that disregards existing user-provided downgraders to detect flows that are vulnerable; locating candidate downgraders on said flows; determining whether each of the candidate downgraders protects against all vulnerabilities associated with each downgrader's respective flow; and transforming with a processor candidate downgraders that do not protect ag…
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