Cyber Resilience

CVE-2026-8596

High

Published: 14 May 2026

Published
14 May 2026
Modified
15 May 2026
KEV Added
Patch
CVSS Score v4 8.5 CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:N/VA:N/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0044 35.2th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2026-8596 is a high-severity Cleartext Storage of Sensitive Information (CWE-312) vulnerability in Amazon SageMaker Python (inferred from references). Its CVSS base score is 8.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 35.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as APIs and Models; in the Supply Chain and Deployment risk domain.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability details

Cleartext storage of sensitive information in the ModelBuilder/Serve component in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to extract the HMAC signing key from SageMaker API responses and forge valid integrity…

more

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. To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any models previously created with ModelBuilder using the updated SDK.

CWE(s)

AI Security AnalysisAI

AI Category
APIs and Models
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: sagemaker

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1552 Unsecured Credentials Credential Access
Adversaries may search compromised systems to find and obtain insecurely stored credentials.
T1610 Deploy Container Execution
Adversaries may deploy a container into an environment to facilitate execution or evade defenses.
Why these techniques?

Cleartext HMAC key storage enables credential extraction (T1552); forged model artifacts then achieve container code execution (T1610).

Confidence: MEDIUM · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2024-55928Shared CWE-312
CVE-2026-27520Shared CWE-312
CVE-2026-34833Shared CWE-312
CVE-2026-33867Shared CWE-312
CVE-2026-27877Shared CWE-312
CVE-2024-23942Shared CWE-312
CVE-2025-12774Shared CWE-312
CVE-2025-25758Shared CWE-312
CVE-2025-27685Shared CWE-312
CVE-2019-25279Shared CWE-312

Affected Assets

Amazon
SageMaker Python
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-312

Training on secure data handling discourages cleartext storage of sensitive information.

addresses: CWE-312

Data action mapping can detect storage actions that leave sensitive information in cleartext.

addresses: CWE-312

Configuration policies can mandate secure storage methods to avoid cleartext storage of sensitive information.

addresses: CWE-312

Policy requires protection measures such as encryption for sensitive data stored on media, preventing cleartext exposure.

addresses: CWE-312

Key-management policy requires protected storage of key material, preventing cleartext storage of sensitive cryptographic keys.

addresses: CWE-312

Requiring confidentiality protection for information at rest eliminates cleartext storage of sensitive data on persistent media.

addresses: CWE-312

Reduces cleartext storage of sensitive data when OPSEC identifies and mandates protection of key information artifacts.

References