Inference-container code execution via exposed HMAC key
Published May 14, 2026 · Updated May 14, 2026
Cleartext key storage in Amazon SageMaker Python SDK allows remote authenticated users to execute code in inference containers. The ModelBuilder/Serve path places the generated HMAC key in SAGEMAKER_SERVE_SECRET_KEY, and SageMaker DescribeModel, DescribeEndpointConfig, and DescribeModelPackage responses return it in plaintext. Exploitation requires permission to call one of those describe APIs and write access to the model artifact path; a forged signature then permits a crafted artifact to run with the SageMaker execution role.
Summary
What happened
Cleartext key storage in Amazon SageMaker Python SDK allows remote authenticated users to execute code in inference containers. The ModelBuilder/Serve path places the generated HMAC key in SAGEMAKER_SERVE_SECRET_KEY, and SageMaker DescribeModel, DescribeEndpointConfig, and DescribeModelPackage responses return it in plaintext. Exploitation requires permission to call one of those describe APIs and write access to the model artifact path; a forged signature then permits a crafted artifact to run with the SageMaker execution role.
The record
- CVE
- CVE-2026-8596
- Published
- May 14, 2026
- Updated
- May 14, 2026
- Vendor
- Amazon Web Services
- Product
- Amazon SageMaker Python SDK
- Classifications
- CWE-312, T1552
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- May 14, 2026CVE publishedPublication date reported by the CVE source.
- May 14, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=2.199.0 <=2.257.1
- Affected versionversion=3.0.0 <=3.7.1
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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