CVE-2020-5252
Scores
EPSS
Percentile: 0.0%
CVSS
CVSS Score: 4.1/10
All CVSS Scores
Vector: CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:N/I:H/A:N
Vector Breakdown
CVSS (Common Vulnerability Scoring System) vector provides detailed metrics about vulnerability characteristics
CVSS
Attack Vector
Local (L)
Describes how the vulnerability is exploited
Attack Complexity
High (H)
Describes the conditions beyond the attacker's control
Privileges Required
High (H)
Describes the level of privileges an attacker must possess
User Interaction
None (N)
Captures the requirement for a human user participation
Scope
Unchanged (U)
Determines if a successful attack impacts components beyond the vulnerable component
Confidentiality Impact
None (N)
Measures the impact to the confidentiality of information
Integrity Impact
High (H)
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
None (N)
Measures the impact to the availability of the impacted component
Vector: AV:L/AC:M/Au:N/C:N/I:P/A:N
Vector Breakdown
CVSS (Common Vulnerability Scoring System) vector provides detailed metrics about vulnerability characteristics
CVSS
Attack Vector
Local (L)
Describes how the vulnerability is exploited
Attack Complexity
Medium
Describes the conditions beyond the attacker's control
Authentication
None (N)
Describes the level of privileges an attacker must possess
Confidentiality Impact
None (N)
Measures the impact to the confidentiality of information
Integrity Impact
Partial
Measures the impact to integrity of a successfully exploited vulnerability
Availability Impact
None (N)
Measures the impact to the availability of the impacted component
Description
The command-line “safety” package for Python has a potential security issue. There are two Python characteristics that allow malicious code to “poison-pill” command-line Safety package detection routines by disguising, or obfuscating, other malicious or non-secure packages. This vulnerability is considered to be of low severity because the attack makes use of an existing Python condition, not the Safety tool itself. This can happen if: You are running Safety in a Python environment that you don’t trust. You are running Safety from the same Python environment where you have your dependencies installed. Dependency packages are being installed arbitrarily or without proper verification. Users can mitigate this issue by doing any of the following: Perform a static analysis by installing Docker and running the Safety Docker image: $ docker run –rm -it pyupio/safety check -r requirements.txt Run Safety against a static dependencies list, such as the requirements.txt file, in a separate, clean Python environment. Run Safety from a Continuous Integration pipeline. Use PyUp.io, which runs Safety in a controlled environment and checks Python for dependencies without any need to install them. Use PyUp’s Online Requirements Checker.
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Sources
CWEs
Vulnerable Software (1)
Type: Configuration
Vendor: pyup
Product: safety
Operating System: * * *
{ "cpe_match": [ { "cpe23uri": "cpe:2.3:a:pyup:safety:*:*:*:*:*:*:*:*", "versionEndIncluding": "1.8.6", "vulnerable": true } ], "operator": "OR"}
Source: nvd