High severityNVD Advisory· Published Nov 21, 2020· Updated Aug 4, 2024
CVE-2020-28975
CVE-2020-28975
Description
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.
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LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
scikit-learnPyPI | >= 0.23.2, < 1.0.1 | 1.0.1 |
Affected products
3- scikit-learn/Libsvmdescription
- ghsa-coords2 versions
>= 0.23.2, < 1.0.1+ 1 more
- (no CPE)range: >= 0.23.2, < 1.0.1
- (no CPE)range: < 1.6.1-1.1
Patches
Vulnerability mechanics
References
9- github.com/advisories/GHSA-jxfp-4rvq-9h9mghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2020-28975ghsaADVISORY
- security.gentoo.org/glsa/202301-03ghsavendor-advisoryWEB
- packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.htmlghsaWEB
- seclists.org/fulldisclosure/2020/Nov/44ghsamailing-listWEB
- github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cppghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-108.yamlghsaWEB
- github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85ghsaWEB
- github.com/scikit-learn/scikit-learn/issues/18891ghsaWEB
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