Amazon SageMaker Python SDK vulnerabilities
3 known vulnerabilities in Amazon SageMaker Python SDK from AWS. 3 are rated high or critical. Each entry lists the affected versions and the release that fixes it, where the vendor has published one.
Latest first
- 8.1 High severity
Amazon SageMaker Python SDK: Improper Verification of Source of a Communication Channel
Missing verification of source of a communication channel in the default_bucket() function in Amazon SageMaker Python SDK V3 before 3.10.0 and V2 before 2.257.3 might allow remote actors to achieve code execution in the target SageMaker execution environment a
- 7.2 High severity
Amazon SageMaker Python SDK: Improper Validation of Integrity Check Value
Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts
- 7.2 High severity
Amazon SageMaker Python SDK: Cleartext Storage of Sensitive Information
Cleartext storage of sensitive information in the ModelBuilder/Serve component in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to extract the HMAC signing key from SageMaker API responses and forge v