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cvsser is a simple library for interpreting CVSS vector strings and converting their metrics into ready-to-publish formats.
>>> import cvsser
>>> import json
>>> sample = "CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C"
>>> vs = cvsser.VectorString(sample)
>>> print(vs.privileges_required)
N
>>> print(json.dumps(vs.to_dict(style="verbose", parentheticals="values", include="mandatory"), indent=2))
{
"AV": {
"metric": "Attack Vector",
"value": "Local (L)"
},
"AC": {
"metric": "Attack Complexity",
"value": "High (H)"
},
"PR": {
"metric": "Privileges Required",
"value": "None (N)"
},
"UI": {
"metric": "User Interaction",
"value": "Required (R)"
},
"S": {
"metric": "Scope",
"value": "Unchanged (U)"
},
"C": {
"metric": "Confidentiality Impact",
"value": "High (H)"
},
"I": {
"metric": "Integrity Impact",
"value": "High (H)"
},
"A": {
"metric": "Availability Impact",
"value": "High (H)"
}
}
>>> print(json.dumps(vs.guide, indent=2))
{
"v2.0": {
"AV": {
"name": "Access Vector",
"values": {
"L": "Local",
"A": "Adjacent Network",
"N": "Network"
},
"type": "Base",
"mandatory": true
},
"AC": {
"name": "Access Complexity",
"values": {
"H": "High",
"M": "Medium",
"L": "Low"
},
"type": "Base",
"mandatory": true
},
...
cvsser is available on PyPI:
$ python -m pip install cvsser
FAQs
A module for interpreting and manipulating CVSS vector strings.
We found that cvsser demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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