Metadata-Version: 2.1
Name: cvsser
Version: 1.1.0
Summary: A module for interpreting and manipulating CVSS vector strings.
Home-page: https://github.com/khantext/cvsser
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/khantext/cvsser/issues
Description: # cvsser
        **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
            },
        ...
        ```
        
        ## Installing cvsser
        cvsser is available on PyPI:
        
        ```console
        $ python -m pip install cvsser
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
