Note:
This project will be discontinued after December 13, 2021. [more]
Product:
Scikit\-Learn
(Scikit\-Learn)| Repositories |
Unknown: This might be proprietary software. |
| #Vulnerabilities | 2 |
| Date | Id | Summary | Products | Score | Patch | Annotated |
|---|---|---|---|---|---|---|
| 2020-05-15 | CVE-2020-13092 | scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner | Scikit\-Learn | 9.8 | ||
| 2020-11-21 | CVE-2020-28975 | 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. | Scikit\-Learn | 7.5 |