pycvss 1.0.1

Current status

This library was developped following the specifications at http://www.first.org/cvss/cvss-guide and is currently in a stable state.

Features

• Compute base, temporal and environmental scores

• Convert from and to short vectors (“AV:N/AC:L/Au:N/C:C/I:C/A:C”)

• 100% test coverage

• Pure python

Usage

c = Cvss()
# Build from enums:
c.set(AV.network)
c.set(E.functional)
c.set(CDP.low)
# Or from a vector:
c = Cvss.from_vector("AV:N/CDP:L/E:F")
# Get scores.
c.to_vector())         # "AV:N/CDP:L/E:F"
c.base_score           # 7.8
c.temporal_score       # 6.4
c.environmental_score  # 9.2

Or from a real CVE(2002_0392)

c = Cvss.from_vector("AV:N/AC:L/Au:N/C:N/I:N/A:C")
# temp
c.set(E.functional)
c.set(RL.official_fix)
c.set(RC.confirmed)
# env
c.set(CDP.high)
c.set(TD.high)
c.set(CR.medium)
c.set(IR.medium)
c.set(AR.high)
print(c)

A:C/AC:L/AR:H/AV:N/Au:N/C:N/CDP:H/CR:M/E:F/I:N/IR:M/RC:C/RL:OF/TD:H
base score                     7.8
  access vector                1.0
  access complexity            0.71
  authentication               0.704
  confidentiality impact       0.0
  integrity impact             0.0
  availability impact          0.66

temporal score                 6.4
  exploitability               0.95
  remediation level            0.87
  report confidence            1.0

environmental score            9.2
  collateral damage potential  0.5
  target distribution          1.0
  confidentiality requirement  1.0
  integrity requirement        1.0
  availability requirement     1.51