CVE-2026-8597High· 7.2▾ TwilightMissing 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 replacem…
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 39.6 · likelihood 0.1 · exploitation 0
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Stakeholder-Specific Vulnerability Categorization from CISA's ADP record at CVE.org: whether exploitation is observed, whether an attack can be automated, and how much of the system is at stake. The CVSS score shown above comes from the assigning CNA record, not NVD.
Exploit-prediction probability, daily snapshots since Aug 1.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via CVEORG
0.4%
0.4% → 0.6%
Last analysed / modified upstream
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 in S3 with a specially crafted pickle payload that is deserialized without verification. This issue requires a remote authenticated actor with 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 Triton models previously created with ModelBuilder using the updated SDK.
amazon_sagemaker_python_sdk >= 2.199.0 <= 2.257.1amazon_sagemaker_python_sdk >= 3.0.0 <= 3.7.1Refer to the linked advisories for vendor-supplied fixes and affected version ranges.
Affected packages:
sagemaker >= 2.199.0, < 2.257.2sagemaker >= 3.0.0, < 3.8.0Patched in:
sagemaker 2.257.2sagemaker 3.8.0Connected by shared product, vendor, weakness, or advisory.
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