Machine learned model for generating opinionated threat assessments of security vulnerabilities
US-2024411898-A1 · Dec 12, 2024 · US
US8990929B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990929-B2 |
| Application number | US-46582006-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 21, 2006 |
| Priority date | Aug 21, 2006 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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A compiled application may be audited by analyzing the compiled application to identify methods that may be called during execution of the compiled application. The identified methods may be correlated with controllable activities, i.e., those activities facilitated by public APIs. An audit report may be used to report to a user or administrator indications that the compiled application may attempt certain activities.
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What is claimed is: 1. A method of processing a compiled application, said method comprising: identifying, using a compiler modified to include a method identifying option, a method that may be called during execution of said compiled application, the identifying including: writing, to a first method-referencing document, a reference to said method that may be called during execution of said compiled application; and stripping extraneous information from said reference to gener…
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