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VulnerabilityPublished Updated

CVE-2026-8597: Amazon SageMaker Python SDK · Improper Validation of Integrity Check Value

Affects Amazon SageMaker Python SDKSource CVE Database V5

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Not known to be exploited · CVSS 7.2 High : upgrade to 3.8.0 or 2.257.2 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
7.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 43% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.8.0, 2.257.2
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 14 May 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade sagemaker to 3.8.0 or 2.257.2.

Affected software

ProductAffectedFixed in
AWSAmazon SageMaker Python SDKAffected
  • >=2.199.0 <=2.257.1
  • >=3.0.0 <=3.7.1
Fixed in–
PyPIsagemakerpkg:pypi/sagemakerOther threatsAffected
  • <2.257.2
  • <3.8.0
Fixed in
  • 2.257.2
  • 3.8.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

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/

Description

Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts in S3 with a specially crafted pickle payload that is deserialized without verification. This issue requires a remote authenticated actor with 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 Triton models previously created with ModelBuilder using the updated SDK.

References

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