Описание
sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data
Impact
sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity.
Impacted versions: <2.218.0.
Credit
We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process.
Workarounds
Do not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from sources you trust.
References
If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. [1] Vulnerability reporting page: https://aws.amazon.com/security/vulnerability-reporting
Fixed by: https://github.com/aws/sagemaker-python-sdk/pull/4557
Пакеты
sagemaker
< 2.218.0
2.218.0
Связанные уязвимости
sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Users are advised to upgrade to version 2.218.0. Users unable to upgrade should not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from trusted sources.