Deserialization of Untrusted Data in sagemaker-python-sdk
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| aws | sagemaker-python-sdk | affected |
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| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2024-1835 | 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. |
Github GHSA |
GHSA-wjvx-jhpj-r54r | sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.411% probability within 30 days)
Key SSVC decision points have not yet been added.
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