Vulnerability-Lookup

GHSA-RQ6V-X3J8-7QGF

Vulnerability from github – Published: 2026-05-21 17:56 – Updated: 2026-05-21 17:56

Summary

Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

Details

Summary

Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code.

Impact

When using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions.

Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1

Patches

This issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes.

Workarounds

If upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations.

References

If there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue.

Severity

7.2 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

6.4 (Medium)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H

Show details on source website

JSON

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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 2.257.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "sagemaker"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.199.0"
            },
            {
              "fixed": "2.257.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 3.7.1"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "sagemaker"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.0.0"
            },
            {
              "fixed": "3.8.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-8597"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-354"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-05-21T17:56:39Z",
    "nvd_published_at": "2026-05-14T20:17:21Z",
    "severity": "MODERATE"
  },
  "details": "## Summary\nAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code.\n\n## Impact\nWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role\u0027s IAM permissions.\n\n\n**Impacted versions:** \u003e= v2.199.0 AND \u003c= v2.257.1, \u003e= v3.0.0 AND \u003c= v3.7.1\n\n## Patches\nThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes.\n\n## Workarounds\nIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations.\n\n## References\nIf there any questions or comments about this advisory, contact AWS Security via [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.",
  "id": "GHSA-rq6v-x3j8-7qgf",
  "modified": "2026-05-21T17:56:39Z",
  "published": "2026-05-21T17:56:39Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/aws/sagemaker-python-sdk/security/advisories/GHSA-rq6v-x3j8-7qgf"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-8597"
    },
    {
      "type": "WEB",
      "url": "https://aws.amazon.com/security/security-bulletins/2026-031-aws"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/aws/sagemaker-python-sdk"
    },
    {
      "type": "WEB",
      "url": "https://github.com/aws/sagemaker-python-sdk/releases/tag/v2.257.2"
    },
    {
      "type": "WEB",
      "url": "https://github.com/aws/sagemaker-python-sdk/releases/tag/v3.8.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler"
}

CVE-2026-8597 (GCVE-0-2026-8597)

Vulnerability from cvelistv5 – Published: 2026-05-14 19:37 – Updated: 2026-05-16 03:56

Title

Missing integrity verification in Triton inference handler in Amazon SageMaker Python SDK

Summary

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.

Severity

7.2 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

6.4 (Medium)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H

CWE

CWE-354 - Improper validation of integrity check value

Assigner

AMZN

References

4 references

URL	Tags
https://github.com/aws/sagemaker-python-sdk/relea…	patch
https://github.com/aws/sagemaker-python-sdk/relea…	patch
https://aws.amazon.com/security/security-bulletin…	vendor-advisory
https://github.com/aws/sagemaker-python-sdk/secur…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
Amazon SageMaker Python SDK	AWS	Affected: 2.199.0 , ≤ 2.257.1 (custom) Affected: 3.0.0 , ≤ 3.7.1 (custom)

Show details on NVD website

JSON

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                "role": "CISA Coordinator",
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

Action not permitted

GHSA-RQ6V-X3J8-7QGF

Summary

Impact

Patches

Workarounds

References

CVE-2026-8597 (GCVE-0-2026-8597)

Tags

Sightings

Nomenclature