Amazon Web Services patches SageMaker Python SDK bucket ownership verification flaw

What happened.Amazon Web Services released security bulletin 2026-142-AWS detailing a resolved bucket ownership verification vulnerability in the Amazon SageMaker Python SDK.
Why it matters.Machine learning build pipelines frequently rely on default cloud storage locations to store intermediate weights and data artifacts. Absent strict bucket ownership verification, malicious actors can stage data tampering attacks against downstream models. MLOps teams should update local SDK versions to 2.245.0 and enforce organization-wide service control policies on S3 buckets.
The technical specifications:
- Verification defect: The flaw tracked as CVE-2026-112408 in default bucket resolution routines allowed potential attackers to anticipate storage paths and manipulate machine learning artifacts or training data.
- Service response: AWS applied automated configuration patches across AWS-managed SageMaker studio environments and published updated client library version 2.245.0.
- Client actions: Operators managing custom training workflows or self-hosted container environments must update local Python dependencies to ensure account-scoped bucket checks execute during model runs.