scikit-learn Denial of Service
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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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2020-28975US | high7.5 | — | ||
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 mo… | ||||
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references
External citations — patches, advisories, analysis.
- http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.htmlWEB
- http://seclists.org/fulldisclosure/2020/Nov/44WEB
- https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501WEB
- https://github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-108.yamlWEB
- https://github.com/scikit-learn/scikit-learnPACKAGE
- https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85WEB
- https://github.com/scikit-learn/scikit-learn/issues/18891WEB
- https://nvd.nist.gov/vuln/detail/CVE-2020-28975ADVISORY
scry
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