Vulnerability-Lookup

GHSA-92XH-3G2W-C2J3

Vulnerability from github – Published: 2026-10-28 21:31 – Updated: 2026-10-28 21:31

Details

A flaw was found in KServe. A namespace-scoped user with create/update permissions on InferenceService custom resources can exploit this vulnerability by providing a malicious storageUri. This Server-Side Request Forgery (SSRF) vulnerability allows the storage-initializer init container to issue arbitrary outbound HTTP/HTTPS requests from inside the cluster. This can lead to information disclosure, including credential theft for the node's Identity and Access Management (IAM) role or access to internal cluster services.

Severity

7.7 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-13451"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-28T20:17:23Z",
    "severity": "HIGH"
  },
  "details": "A flaw was found in KServe. A namespace-scoped user with create/update permissions on InferenceService custom resources can exploit this vulnerability by providing a malicious `storageUri`. This Server-Side Request Forgery (SSRF) vulnerability allows the `storage-initializer` init container to issue arbitrary outbound HTTP/HTTPS requests from inside the cluster. This can lead to information disclosure, including credential theft for the node\u0027s Identity and Access Management (IAM) role or access to internal cluster services.",
  "id": "GHSA-92xh-3g2w-c2j3",
  "modified": "2026-10-28T21:31:17Z",
  "published": "2026-10-28T21:31:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-13451"
    },
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      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-13451"
    },
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    }
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  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-13451 (GCVE-0-2026-13451)

Vulnerability from cvelistv5 – Published: 2026-10-28 19:52 – Updated: 2026-10-28 19:52

Title

Kserve: kserve: server-side request forgery via malicious storageuri

Summary

A flaw was found in KServe. A namespace-scoped user with create/update permissions on InferenceService custom resources can exploit this vulnerability by providing a malicious `storageUri`. This Server-Side Request Forgery (SSRF) vulnerability allows the `storage-initializer` init container to issue arbitrary outbound HTTP/HTTPS requests from inside the cluster. This can lead to information disclosure, including credential theft for the node's Identity and Access Management (IAM) role or access to internal cluster services.

Severity

7.7 (High)


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

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

redhat CNA under the redhat root

CNA scorecard B 82/100 over 1082 records in the last 180 days details

References

2 references

URL	Tags
https://access.redhat.com/security/cve/CVE-2026-13451	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2493640	issue-trackingx_refsource_REDHAT

Impacted products

1 product

Vendor	Product	Version
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

Date Public

2026-10-27 11:13

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JSON

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{
  "containers": {
    "cna": {
      "affected": [
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-kserve-agent-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
        },
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          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
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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.

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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