svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other…
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- —
- Confidentiality · integrity · availability
- None · None · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub.
Summary
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.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Poc
- Automatable
- No
- Technical impact
- Partial
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| — | — | all versions | — | No fix listed | CNA |
| — | scikit-learn (PyPI) | 0.23.2 to before 1.0.1 | 1.0.1 | Patch available | GHSA-jxfp-4rvq-9h9m |
- — Vendor— Affected all versions Fixed in — No fix listed CNA
- scikit-learn (PyPI) Vendor— Affected 0.23.2 to before 1.0.1 Fixed in 1.0.1 Patch available GHSA-jxfp-4rvq-9h9m
CPE configurations NVD · 1
| CPE | Versions | Role | Vendor |
|---|---|---|---|
| cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:* | 0.23.2 to before 1.0.1 | Vulnerable | scikit-learn |
- cpe:2.3:a:scikit-learn:scikit-learn:*:*:*:*:*:*:*:* Versions 0.23.2 to before 1.0.1 Vulnerable ·scikit-learn
Remediation
- Fix · GHSA-jxfp-4rvq-9h9m scikit-learn (PyPI) Fixed in 1.0.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2020-28975
- 2026-10-03 Alias added: GHSA-jxfp-4rvq-9h9m
References
Exploit 3
Advisory 3
More Scikit-learn vulnerabilities
- TI-2024-04831 Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn CVSS 3.1MEDIUM 4.7
- TI-2020-10297 scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an… CVSS 3.1CRITICAL 9.8
Sources
- CVE-2020-28975 · CVE Program
- CVE-2020-28975 · NVD
- FIRST EPSS
- GHSA-jxfp-4rvq-9h9m · GitHub Advisory Database · CC BY 4.0
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences