CVSS 3.1
7.5 highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HCVE-2020-28975
High (7.5) in scikit-learn scikit-learn. EPSS 3.5% chance of exploitation in the next 30 days. Fixed in scikit-learn 0.24.dev0, 1.0.1.
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.
Severity
- EPSS
- 3.5% chance of exploitation in the next 30 days; higher than 89% of CVEs (scores of 2026-10-31)
- Published
- Modified
- Record from
- the NVD, synced
Affected
- scikit-learn:scikit-learn
Packages (OSV)
| Advisory | Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|---|
| GHSA-jxfp-4rvq-9h9m | PyPI | scikit-learn | >=0.23.2 <1.0.1 | 1.0.1 |
| PYSEC-2020-108 | PyPI | scikit-learn | <0.24.dev0 | 0.24.dev0 |
References
- 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/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85
- https://github.com/scikit-learn/scikit-learn/issues/18891