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CVSS v4 uses the concept of macrovectors. I'm not going to explain that here, check out the CVSS v4 spec for that.
It might be interesting to use SSVC to construct a model of CVSSv4 macrovectors -> CVSSv4 categories (Low, Medium, High, Critical) for demonstration purposes.
The text was updated successfully, but these errors were encountered:
We definitely arranged the equivalency sets in a decision tree. However, the process for community voting on assigning relative ranking (and therefore the labels 0.1 to 10.0) is probably more interesting than the fact that the equivalence sets are arranged into a decision tree.
Is there anything else to do for this? I don't see any further concrete value add.
CVSS v4 uses the concept of macrovectors. I'm not going to explain that here, check out the CVSS v4 spec for that.
It might be interesting to use SSVC to construct a model of CVSSv4 macrovectors -> CVSSv4 categories (Low, Medium, High, Critical) for demonstration purposes.
The text was updated successfully, but these errors were encountered: