Cleartext Storage of Sensitive Information Affecting sagemaker package, versions [2.199.0,2.257.2)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-SAGEMAKER-16795361
- published22 May 2026
- disclosed21 May 2026
- creditUnknown
Introduced: 21 May 2026
CVE-2026-8596 (opens in a new tab)How to fix?
Upgrade sagemaker to version 2.257.2 or higher.
Overview
sagemaker is an Open source library for training and deploying models on Amazon SageMaker.
Affected versions of this package are vulnerable to Cleartext Storage of Sensitive Information in the ModelBuilder/Serve component. An attacker can extract sensitive HMAC signing keys by accessing the SageMaker describe APIs and, with sufficient permissions, forge valid integrity signatures for malicious model artifacts, potentially leading to code execution in inference containers with elevated IAM permissions. This is only exploitable if the attacker has permissions to call the describe APIs and S3 write access to the model artifact path.
Workaround
This vulnerability can be mitigated by manually removing the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration.