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PatchSiren cyber security CVE debrief

CVE-2026-8596 AWS CVE debrief

A high-severity vulnerability in Amazon SageMaker Python SDK could allow a remote authenticated actor to extract the HMAC signing key 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. The vulnerability exists in the ModelBuilder/Serve component of Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0.

Vendor
AWS
Product
Amazon SageMaker Python SDK
CVSS
HIGH 8.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-05-14
Original CVE updated
2026-10-20
Advisory published
2026-05-14
Advisory updated
2026-10-20

Who should care

Defenders responsible for Amazon SageMaker deployments, specifically those using the ModelBuilder/Serve component, should assess exposure and prioritize upgrading to the latest SDK versions.

Why it matters

CVE-2026-8596 is a high-severity vulnerability in Amazon SageMaker Python SDK that could allow code execution in inference containers. Defenders should prioritize upgrading to the latest SDK versions and verifying HMAC signing key storage and usage.

  • Code execution in inference containers via forged model artifacts
  • Potential for lateral movement and unauthorized access to sensitive data
  • Compromise of model integrity and confidentiality
  • Verification of HMAC signing key storage and usage

Technical summary

The ModelBuilder/Serve component in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 stores sensitive information in cleartext, allowing a remote authenticated actor to extract the HMAC signing key 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. The vulnerability can be exploited by a remote authenticated actor with the necessary permissions and access controls.

Defensive priority

Upgrade to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any models previously created with ModelBuilder using the updated SDK.

Recommended defensive actions

  • Upgrade to Amazon SageMaker Python SDK v2.257.2 or v3.8.0
  • Rebuild any models previously created with ModelBuilder using the updated SDK
  • Verify permissions and access controls for SageMaker describe APIs and S3 model artifact paths
  • Monitor for suspicious activity related to model artifacts and inference containers
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed

Evidence notes

The vulnerability exists in the ModelBuilder/Serve component of Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0. A remote authenticated actor with permissions to call SageMaker describe APIs and S3 write access to the model artifact path can exploit this issue.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-8596 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-8596

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-8596 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-8596

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

  • Source reference

    Unverified legacy reference

    URL: https://aws.amazon.com/security/security-bulletins/2026-031-aws/

    ff89ba41-3aa1-4d27-914a-91399e9639e5

  • Source reference

    Unverified legacy reference

    URL: https://github.com/aws/sagemaker-python-sdk/releases/tag/v2.257.2

    ff89ba41-3aa1-4d27-914a-91399e9639e5

  • Source reference

    Unverified legacy reference

    URL: https://github.com/aws/sagemaker-python-sdk/releases/tag/v3.8.0

    ff89ba41-3aa1-4d27-914a-91399e9639e5

  • Source reference

    Unverified legacy reference

    URL: https://github.com/aws/sagemaker-python-sdk/security/advisories/GHSA-7hh5-prp2-mfh5

    ff89ba41-3aa1-4d27-914a-91399e9639e5

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.