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Advisory details: pypa / scikit-learn/PYSEC-2020-108
Advisory ID pypa/scikit-learn/PYSEC-2020-108
Aliases CVE-2020-28975
GHSA-jxfp-4rvq-9h9m
PYSEC-2020-108
Summary ** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.
Status Published
Exploitability 0.5
Weighted Severity 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (0)
There are no known CWE.
System Score Found at
There are no known severity scores.
Reference id Reference type URL
http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html
http://seclists.org/fulldisclosure/2020/Nov/44
https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501
https://github.com/scikit-learn/scikit-learn/issues/18891
GHSA-jxfp-4rvq-9h9m https://github.com/advisories/GHSA-jxfp-4rvq-9h9m
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
There are no known vectors.

Vector: SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2024-06-26T20:03:17Z/

Decision: Track

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2020/28xxx/CVE-2020-28975.json

Source Advisory: vulnrichment/CVE-2020-28975

View SSVC decision tree 
[{'Exploitation': 'poc'},
 {'Automatable': 'no'},
 {'Technical Impact': 'partial'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]