CVE-2026-8596: CWE-312 Cleartext storage of sensitive information in Amazon SageMaker Python SDK AWS
CVE-2026-8596 is a high-severity vulnerability in the Amazon SageMaker Python SDK before versions 2. 257. 2 and 3. 8. 0. It involves cleartext storage of sensitive information in the ModelBuilder/Serve component, allowing a remote authenticated actor with specific permissions to extract the HMAC signing key from API responses. This can enable forging valid integrity signatures for crafted model artifacts, potentially leading to code execution within inference containers. The vulnerability requires the attacker to have permissions to call SageMaker describe APIs and write access to the model artifact path in S3. AWS recommends upgrading to the fixed SDK versions and rebuilding any models created with the vulnerable SDK. AWS manages remediation for this cloud-hosted service, and a fix is available.
AI Analysis
Technical Summary
The vulnerability CVE-2026-8596 affects Amazon SageMaker Python SDK versions prior to v2.257.2 and v3.8.0. It is caused by cleartext storage of sensitive information (HMAC signing keys) in the ModelBuilder/Serve component. An authenticated remote attacker with permissions to invoke SageMaker describe APIs and write to the S3 model artifact path can extract these keys from API responses. With the extracted keys, the attacker can forge integrity signatures for malicious model artifacts, leading to code execution in inference containers. The issue is mitigated by upgrading to the patched SDK versions and rebuilding models with the updated SDK. AWS, as a cloud service provider, manages remediation for the service environment.
Potential Impact
Successful exploitation allows a remote authenticated user with specific permissions to extract HMAC signing keys, forge integrity signatures, and execute arbitrary code within inference containers. This compromises confidentiality, integrity, and availability of the affected SageMaker inference workloads. The CVSS 3.1 score is 7.2 (high), reflecting network attack vector, low attack complexity, required privileges, and high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
A patch is available by upgrading the Amazon SageMaker Python SDK to version 2.257.2 or later, or version 3.8.0 or later. Additionally, rebuild any models previously created with the vulnerable SDK versions using the updated SDK. Since this is a cloud-hosted service, AWS manages remediation for the underlying infrastructure. Users should follow the vendor advisory at https://aws.amazon.com/security/security-bulletins/2026-031-aws/ for detailed guidance.
CVE-2026-8596: CWE-312 Cleartext storage of sensitive information in Amazon SageMaker Python SDK AWS
Description
CVE-2026-8596 is a high-severity vulnerability in the Amazon SageMaker Python SDK before versions 2. 257. 2 and 3. 8. 0. It involves cleartext storage of sensitive information in the ModelBuilder/Serve component, allowing a remote authenticated actor with specific permissions to extract the HMAC signing key from API responses. This can enable forging valid integrity signatures for crafted model artifacts, potentially leading to code execution within inference containers. The vulnerability requires the attacker to have permissions to call SageMaker describe APIs and write access to the model artifact path in S3. AWS recommends upgrading to the fixed SDK versions and rebuilding any models created with the vulnerable SDK. AWS manages remediation for this cloud-hosted service, and a fix is available.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability CVE-2026-8596 affects Amazon SageMaker Python SDK versions prior to v2.257.2 and v3.8.0. It is caused by cleartext storage of sensitive information (HMAC signing keys) in the ModelBuilder/Serve component. An authenticated remote attacker with permissions to invoke SageMaker describe APIs and write to the S3 model artifact path can extract these keys from API responses. With the extracted keys, the attacker can forge integrity signatures for malicious model artifacts, leading to code execution in inference containers. The issue is mitigated by upgrading to the patched SDK versions and rebuilding models with the updated SDK. AWS, as a cloud service provider, manages remediation for the service environment.
Potential Impact
Successful exploitation allows a remote authenticated user with specific permissions to extract HMAC signing keys, forge integrity signatures, and execute arbitrary code within inference containers. This compromises confidentiality, integrity, and availability of the affected SageMaker inference workloads. The CVSS 3.1 score is 7.2 (high), reflecting network attack vector, low attack complexity, required privileges, and high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
A patch is available by upgrading the Amazon SageMaker Python SDK to version 2.257.2 or later, or version 3.8.0 or later. Additionally, rebuild any models previously created with the vulnerable SDK versions using the updated SDK. Since this is a cloud-hosted service, AWS manages remediation for the underlying infrastructure. Users should follow the vendor advisory at https://aws.amazon.com/security/security-bulletins/2026-031-aws/ for detailed guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- AMZN
- Date Reserved
- 2026-05-14T13:39:22.096Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
- Is Cloud Service
- true
- Vendor Advisory Urls
- [{"url":"https://aws.amazon.com/security/security-bulletins/2026-031-aws/","vendor":"AWS"}]
Threat ID: 6a062b6cec166c07b00def7e
Added to database: 5/14/2026, 8:07:08 PM
Last enriched: 5/14/2026, 8:22:16 PM
Last updated: 5/15/2026, 6:26:47 AM
Views: 6
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