Cvss manipulation library to easily compute scores.
Project description
Easily manipulate and compute scores according to the Common Vulnerability Scoring System
Current status
This library was developped following the specifications at http://www.first.org/cvss/cvss-guide and is currently in a stable state.
PyCvss is available in the cheeseshop, you can start using it with
pip install pycvss
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
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