Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…
EPSS 0.4%top 68%

CVE-2026-8597: CWE-354 Improper validation of integrity check value in Amazon SageMaker Python SDK AWS

0
High
VulnerabilityCVE-2026-8597cvecve-2026-8597cwe-354
Published: 05/14/2026 (05/14/2026, 19:37:02 UTC)
Source: CVE Database V5
Vendor/Project: Amazon SageMaker Python SDK
Product: AWS

Description

CVE-2026-8597 is a high-severity vulnerability in the Amazon SageMaker Python SDK affecting versions prior to v2.257.2 and v3.8.0. It involves missing integrity verification in the Triton inference handler, allowing a remote authenticated actor with S3 write access to replace model artifacts with malicious pickle payloads. This can lead to code execution within inference containers. AWS recommends upgrading to fixed SDK versions and rebuilding affected Triton models. The vulnerability requires authenticated access with specific permissions and does not have known exploits in the wild at this time.

CVSS v3.1

Score 7.2high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
High
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Affected software

sagemaker
pkg:pypi/sagemaker
Affected versions
<2.257.2<3.8.0=2.199.0=3.0.0

Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 05/22/2026, 15:31:20 UTC

Technical Analysis

The vulnerability CVE-2026-8597 in Amazon SageMaker Python SDK arises from improper validation of integrity check values (CWE-354) in the Triton inference handler. Specifically, model artifacts stored in S3 can be replaced by a remote authenticated actor possessing write access with a crafted pickle payload. This payload is deserialized without verification, enabling arbitrary code execution inside inference containers. The issue affects SDK versions before v2.257.2 and v3.8.0. AWS has released patched versions to address this flaw and advises rebuilding Triton models created with the affected SDK versions.

Potential Impact

Successful exploitation allows a remote authenticated user with S3 write permissions to execute arbitrary code within SageMaker inference containers by substituting model artifacts with malicious payloads. This compromises confidentiality, integrity, and availability of the inference environment. The CVSS score of 7.2 reflects high impact on confidentiality, integrity, and availability. No known exploits are reported in the wild currently.

Mitigation Recommendations

AWS recommends upgrading the Amazon SageMaker Python SDK to version v2.257.2 or v3.8.0 or later. Additionally, any Triton models previously created with ModelBuilder using affected SDK versions should be rebuilt using the updated SDK to ensure the vulnerability is fully mitigated. Since this is a cloud service, AWS manages the underlying infrastructure, but customers must update their SDK and models accordingly. Patch status is confirmed as available via vendor advisory: https://aws.amazon.com/security/security-bulletins/2026-031-aws/

Pro Console: star threats, build custom feeds, automate alerts via Slack, email & webhooks.Upgrade to Pro

Technical Details

Data Version
5.2
Assigner Short Name
AMZN
Date Reserved
2026-05-14T13:39:22.704Z
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: 6a062b6cec166c07b00def84

Added to database: 05/14/2026, 20:07:08 UTC

Last enriched: 05/22/2026, 15:31:20 UTC

Last updated: 07/31/2026, 19:23:00 UTC

Views: 112

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses