CVE-2020-28975

Katalog CVE

CVSS 7.5 · High EPSS 3,5%

Kerentanan pada scikit-learn. Skor CVSS 3.1 7.5 (High) menurut NVD.

Deskripsi (NVD)

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.

Rincian

Terbit di NVD

21 November 2020

Terakhir diubah

17 Juni 2026

Status NVD

Modified

CVSS 3.1

7.5 (High), sumber NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H · uraikan di kalkulator

EPSS (30 hari)

3,5% peluang dieksploitasi; lebih tinggi dari 88,8% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85 patch · advisory pihak ketiga
• http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html exploit · advisory pihak ketiga · vdb entry
• http://seclists.org/fulldisclosure/2020/Nov/44 mailing list · advisory pihak ketiga
• https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501 exploit · advisory pihak ketiga
• https://github.com/scikit-learn/scikit-learn/issues/18891 exploit · issue tracking · advisory pihak ketiga
• https://security.gentoo.org/glsa/202301-03 advisory pihak ketiga