VDB
PYSEC-2020-108
PYSEC-2020-108
PUBLISHED
CVSS 8.699999809265137 HIGH
** 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.
Risk Scores
CVSS v4.0
8.699999809265137
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| PyPI | scikit-learn | 0, 0.10, 0.11 |
Timeline
- Nov 21, 2020 CVE Published
- Feb 1, 2024 CVE Updated
References
- https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501 url
- http://seclists.org/fulldisclosure/2020/Nov/44 url
- https://github.com/scikit-learn/scikit-learn/issues/18891 discussion
- http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html exploit