CVSS VectorNVD
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:N/VA:N/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
4Blast Radius
ecosystem impact- 5 pypi packages depend on sagemaker (5 direct, 0 indirect)
Ecosystem-wide dependent count for version 2.199.0.
DescriptionNVD
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 valid integrity signatures for specially crafted model artifacts, achieving code execution in inference containers. This issue requires a remote authenticated actor with permissions to call SageMaker describe APIs and S3 write access to the model artifact path.
To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any models previously created with ModelBuilder using the updated SDK.
AnalysisAI
Cleartext HMAC signing key exposure in Amazon SageMaker Python SDK versions <2.257.2 and <3.8.0 enables authenticated attackers with SageMaker describe API and S3 write permissions to forge model artifact integrity signatures and achieve remote code execution in inference containers. AWS released patches in v2.257.2 and v3.8.0 with security fixes addressing Triton HMAC key exposure and missing integrity checks. …
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RemediationAI
Within 24 hours: Inventory all SageMaker Python SDK deployments and identify instances running versions <2.257.2 or <3.8.0. Within 7 days: Upgrade to SageMaker Python SDK v2.257.2 or v3.8.0 (or later) across all development, staging, and production environments. …
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-30420
GHSA-7hh5-prp2-mfh5