5 Medium
CVSS2
Attack Vector
NETWORK
Attack 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
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:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
0.002 Low
EPSS
Percentile
59.2%
scikit-learn is a machine learning library for Python.
When supplied with a crafted model SVM, predict() can result in a null pointer dereference.
An attcker capable of providing a crafted model to scikit-learn can result in denial of service.
There is no known workaround at this time.
All scikit-learn users should upgrade to the latest version:
# emerge --sync
# emerge --ask --oneshot --verbose ">=sci-libs/scikit-learn-1.1.1"
OS | Version | Architecture | Package | Version | Filename |
---|---|---|---|---|---|
Gentoo | any | all | sci-libs/scikit-learn | < 1.1.1 | UNKNOWN |
5 Medium
CVSS2
Attack Vector
NETWORK
Attack 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
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:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
0.002 Low
EPSS
Percentile
59.2%