Machine learned model for generating opinionated threat assessments of security vulnerabilities
US-2024411898-A1 · Dec 12, 2024 · US
US8935795B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8935795-B2 |
| Application number | US-201313974385-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 23, 2013 |
| Priority date | Oct 26, 2012 |
| Publication date | Jan 13, 2015 |
| Grant date | Jan 13, 2015 |
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A method, computer program product, and system for transforming unit tests is described. A unit test associated with one or more software units is identified. A graphical representation of a portion of a computer program is built, wherein the graphical representation includes a control flow edge. A potentially vulnerable data flow associated with the control flow edge is identified. A control flow weight is assigned to the control flow edge, based upon, at least in part, identifying the potentially vulnerable data flow. A security analysis is applied to the portion of the computer program based upon, at least in part, the control flow weight.
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What is claimed is: 1. A computer-implemented method comprising: building, by one or more computing devices, a graphical representation of a portion of a computer program, wherein the graphical representation includes a plurality of control flow edges; identifying, by the one or more computing devices, a potentially vulnerable data flow associated with at least one of the plurality of control flow edges, including: identifying one or more sink statements associated with the com…
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