GHSA-jxfp-4rvq-9h9m
Suggest an improvement- Source
- https://github.com/advisories/GHSA-jxfp-4rvq-9h9m
- Import Source
- https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/05/GHSA-jxfp-4rvq-9h9m/GHSA-jxfp-4rvq-9h9m.json
- JSON Data
- https://api.test.osv.dev/v1/vulns/GHSA-jxfp-4rvq-9h9m
- Aliases
- Published
- 2022-05-24T17:34:40Z
- Modified
- 2024-12-03T05:52:35.804745Z
- Severity
-
- 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
- Summary
- scikit-learn Denial of Service
- Details
-
svmpredictvalues 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 nsupport 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.
- Database specific
{ "github_reviewed": true, "severity": "HIGH", "github_reviewed_at": "2024-02-01T20:59:15Z", "cwe_ids": [], "nvd_published_at": "2020-11-21T21:15:00Z" }- 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
Affected packages
PyPI / scikit-learn
Package
- Name
- scikit-learn
- View open source insights on deps.dev
- Purl
- pkg:pypi/scikit-learn