Improver Overview

Improvers improve upon already imported data. They are responsible for creating a relational model for vulnerabilites and packages.

An Improver is supposed to contain data points about a vulnerability and the relevant discrete affected and fixed packages (in the form of PackageURLs). There is no notion of version ranges here, all package versions must be explicitly specified. As this concrete relationship might not always be absolutely correct, improvers supply with a confidence score and only the record with the highest confidence against a vulnerability and package relationship is stored in the database.

There are two categories of improvers:

  • Generic: Improve upon some imported data irrespective of any importer. These improvers are defined in vulnerabilites/improvers/

  • Importer Specific: Improve upon data imported by a specific importer. These are defined in the corresponding importer file itself.

Both types of improvers internally work in a similar fashion. They indicate which Advisory they are interested in and when supplied with those Advisories, they return Inferences. An Inference is more explicit than an Advisory and is able to answer the questions like, β€œIs package A vulnerable to Vulnerability B ?”. Of course, there is some confidence attached with the answer which could also be MAX_CONFIDENCE in certain cases.

The possibilities with improvers is endless, they are not restricted to take one approach. Features like Time Travel and finding fix commits could be Implemented as well.

You can find more in-code documentation about improvers in vulnerabilites/improver.py and the framework responsible for invoking these improvers in vulnerabilites/improve_runner.py