PoC Index

CVE-2020-28975

HIGH 7.5EPSS 3.5%

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.

CVSS v3.1
7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS v3.1
7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS v2.0
5.0 MEDIUMAV:N/AC:L/Au:N/C:N/I:N/A:P
EPSS
3.50% chance of exploitation in the next 30 days, 88th percentile
Published
2020-11-21
Updated
2024-08-04

Proof-of-concept exploits (2)

References

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