SageMaker Python SDK at a glance
- Last 12 months
- 4
- Critical · all time
- 0
- Exploited · all time
- 0
- Public exploit · all time
- 0
Show as table
| Month | Vulnerabilities | Critical |
|---|---|---|
| Nov 2026 | 0 | 0 |
| Oct 2026 | 1 | 0 |
| Sep 2026 | 1 | 0 |
| Aug 2026 | 0 | 0 |
| Jul 2026 | 0 | 0 |
| Jun 2026 | 0 | 0 |
| May 2026 | 0 | 0 |
| Apr 2026 | 0 | 0 |
| Mar 2026 | 0 | 0 |
| Feb 2026 | 2 | 0 |
| Jan 2026 | 0 | 0 |
| Dec 2025 | 0 | 0 |
| Nov 2025 | 0 | 0 |
| Oct 2025 | 0 | 0 |
| Sep 2025 | 0 | 0 |
| Aug 2025 | 0 | 0 |
| Jul 2025 | 0 | 0 |
| Jun 2025 | 0 | 0 |
| May 2025 | 0 | 0 |
| Apr 2025 | 0 | 0 |
| Mar 2025 | 0 | 0 |
| Feb 2025 | 0 | 0 |
| Jan 2025 | 0 | 0 |
| Dec 2024 | 0 | 0 |
6 results · Feed
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Medium 5.3
Insertion of sensitive information into log files in Amazon SageMaker Python SDK git_utils[.]py
Insertion of sensitive information into log files in the git_utils[.]py component in Amazon SageMaker Python SDK V3 before 3.10.0 and V2 before 2.257.3 might allow an authenticated remote user to obtain plaintext repository credentials from CloudWatch Logs wh…
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High 7.2
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK @step/@remote pipeline path
Cleartext storage of sensitive information in the @step and @remote decorator pipeline component in Amazon SageMaker Python SDK before v3.11.0 and v2.256.0 might allow an authenticated remote user to extract the HMAC signing key from SageMaker DescribePipelin…
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Medium 5.9
TLS disabled by default in select aws/sagemaker-python-sdk configurations
Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succee…
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High 7.2
Cleartext transmission of sensitive materials in aws/sagemaker-python-sdk
The Amazon SageMaker Python SDK before v3.2.0 and v2.256.0 includes the ModelBuilder HMAC signing key in the cleartext response elements of the DescribeTrainingJob function. A third party with permissions to both call this API and permissions to modify object…
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High 7.8
Deserialization of Untrusted Data in sagemaker-python-sdk
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 pick…
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High 7.8
Command Injection in sagemaker-python-sdk
sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils` module allows for potentially unsafe Op…