IP Library Patent Application 19084261
Patent Application
App. No. 19/084,261

VULNERABILITY REMEDIATION RECOMMENDATION MECHANISM

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Quick Facts
Patent No.
US None
App. No.
19/084,261
Abstract

A method is disclosed. The method comprises detecting one or more vulnerabilities in a software package, generating a version upgrade recommendation for each of the detected vulnerabilities, generating a version graph including one or more of the version upgrade recommendations and displaying the version graph at a user interface.

Claims (16)

1 . A method comprising:

detecting one or more vulnerabilities in a software package;

generating a version upgrade recommendation for each of the detected vulnerabilities;

generating a version graph including one or more of the version upgrade recommendations; and

displaying the version graph at a user interface.

2 . The method of claim 1 , further comprising:

detecting that a version upgrade recommendation has been selected from the version graph; and

upgrading the software package to a package version associated with the selected version upgrade recommendation.

3 . The method of claim 1 , further comprising automatically upgrading the software package.

4 . The method of claim 1 , wherein the version upgrade recommendations are generated based on historical data.

5 . The method of claim 1 , wherein the version upgrade recommendations are generated based on a plurality of recommendation factors

6 . The method of claim 1 , further comprising assigning a security level to each of the one or more detected vulnerabilities.

7 . The method of claim 1 , further comprising scanning code data associated with the software package to detect the one or more vulnerabilities.

8 . The method of claim 1 , further comprising accessing workload data detect the one or more vulnerabilities.

9 . The method of claim 1 , further comprising accessing data that specifies package versions that repair vulnerabilities prior to generating the version upgrade recommendations.

10 . The method of claim 1 , wherein the recommendations are generated based on a plurality of recommendation factors.