CVE-2020-28975
Description
** 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.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | scikit-learn | >=0.23.2,<1.0.1 | 1.0.1 |
| PyPI | scikit-learn | <0.24.dev0 | 0.24.dev0 |
References
- https://nvd.nist.gov/vuln/detail/CVE-2020-28975
- https://github.com/scikit-learn/scikit-learn/issues/18891
- https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85
- https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501
- https://github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-108.yaml
- https://github.com/scikit-learn/scikit-learn
- https://security.gentoo.org/glsa/202301-03
- http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html
- http://seclists.org/fulldisclosure/2020/Nov/44
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.