CVE-2020-28975
Summary
| CVE | CVE-2020-28975 |
|---|---|
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2020-11-21 21:15:00 UTC |
| Updated | 2023-11-07 03:21:00 UTC |
| 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. |
Risk And Classification
Problem Types: NVD-CWE-noinfo
NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
|---|---|---|---|---|---|---|
| Application | Scikit-learn | Scikit-learn | All | All | All | All |
| Application | Scikit-learn | Scikit-learn | 0.23.2 | All | All | All |
| Application | Scikit-learn | Scikit-learn | 0.23.2 | All | All | All |
References
| Reference | Source | Link | Tags |
|---|---|---|---|
| SciKit-Learn 0.23.2 Denial Of Service ≈ Packet Storm | MISC | packetstormsecurity.com | Exploit, Third Party Advisory |
| Full Disclosure: scikit-learn 0.23.2 Local Denial of Service | FULLDISC | seclists.org | Third Party Advisory |
| libsvm/svm.cpp at 9a3a9708926dec87d382c43b203f2ca19c2d56a0 · cjlin1/libsvm · GitHub | MISC | github.com | Exploit, Third Party Advisory |
| FIX Prevents segfault in SVC when internals are altered (#21336) · scikit-learn/scikit-learn@1bf13d5 · GitHub | MISC | github.com | |
| Segmentation fault on SVMLIB · Issue #18891 · scikit-learn/scikit-learn · GitHub | MISC | github.com | Exploit, Third Party Advisory |
| scikit-learn: Denial of Service (GLSA 202301-03) — Gentoo security | GENTOO | security.gentoo.org | |
| CVE Program record | CVE.ORG | www.cve.org | canonical |
| NVD vulnerability detail | NVD | nvd.nist.gov | canonical, analysis |
No vendor comments have been submitted for this CVE.