GoogleOSV:GHSA-FRGW-FGH6-9G52Numpy missing input validation
7.5 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
5 Medium
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:N/I:N/A:P
0.002 Low
EPSS
Percentile
53.4%
The numpy.pad function in Numpy 1.13.1 and older versions is missing input validation. An empty list or ndarray will stick into an infinite loop, which can allow attackers to cause a DoS attack.
References
github.com/advisories/GHSA-frgw-fgh6-9g52
github.com/BT123/testcasesForMyRequest/tree/master/CVE-2017-12852
github.com/numpy/numpy
github.com/numpy/numpy/issues/9560#issuecomment-322395292
github.com/numpy/numpy/releases/tag/v1.13.3
github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2017-1.yaml
nvd.nist.gov/vuln/detail/CVE-2017-12852
Related
7.5 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
5 Medium
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:N/I:N/A:P
0.002 Low
EPSS
Percentile
53.4%