** 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 S
** 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.
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (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
- https://github.com/advisories/GHSA-jxfp-4rvq-9h9m
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H- Weakness (CWE)
-- Platform
- Python (PyPI)
- Package
scikit-learn- Disclosed
- 21.11.2020
- Updated
- 11.10.2026 12:20
Sources and licenses
OSV / GitHub Advisory Database - GHSA-jxfp-4rvq-9h9m - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2020-108 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: scikit-learn
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 3
- First → latest
- 05.2020 06.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 1
- High 1
- Medium 1
Disclosures per year
- 2020: 2
- 2021: 0
- 2022: 0
- 2023: 0
- 2024: 1
- 2025: 0
- 2026: 0
-
** 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 S this entry
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