← Back to CVE Explorer

CVE-2026-115919

Full vulnerability record from the local CVENow database.

Description

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0.

Severity
MEDIUM
CVSS score
6.2 (v3.1)
Vulnerability status
Awaiting Analysis
Source identifier
Published
2026-10-26 18:17:39.607000
Last modified
2026-10-26 20:17:52.020000
View original CVE JSON
{
  "id": "CVE-2026-115919",
  "sourceIdentifier": "[email protected]",
  "published": "2026-10-26T18:17:39.607",
  "lastModified": "2026-10-26T20:17:52.020",
  "vulnStatus": "Awaiting Analysis",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to 1.22.0, RNNShapeInference_opset1_to_6() processes malformed RNN and LSTM nodes from opsets 1 through 6 and GRU nodes from opsets 3 through 6 without verifying that the first input has rank three. The function accesses dim(0) and dim(1) on an undersized protobuf shape, which can read outside the intended repeated field and terminate an application when onnx.shape_inference.infer_shapes() processes an untrusted model that can pass onnx.checker.check_model(). This issue is fixed in version 1.22.0."
    }
  ],
  "affected": [
    {
      "source": "[email protected]",
      "affectedData": [
        {
          "vendor": "onnx",
          "product": "onnx",
          "versions": [
            {
              "version": "< 1.22.0",
              "status": "affected"
            }
          ]
        }
      ]
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "[email protected]",
        "type": "Secondary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "baseScore": 6.2,
          "baseSeverity": "MEDIUM",
          "attackVector": "LOCAL",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 2.5,
        "impactScore": 3.6
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "timestamp": "2026-10-26T19:29:44.433866Z",
          "id": "CVE-2026-115919",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "version": "2.0.3"
        }
      }
    ]
  },
  "weaknesses": [
    {
      "source": "[email protected]",
      "type": "Secondary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-125"
        }
      ]
    }
  ],
  "references": [
    {
      "url": "https://github.com/onnx/onnx/commit/92e541266af5dd38cfa48aeb92206f4268a066cd",
      "source": "[email protected]"
    },
    {
      "url": "https://github.com/onnx/onnx/pull/7879",
      "source": "[email protected]"
    },
    {
      "url": "https://github.com/onnx/onnx/releases/tag/v1.22.0",
      "source": "[email protected]"
    },
    {
      "url": "https://github.com/onnx/onnx/security/advisories/GHSA-48m4-24cq-37qf",
      "source": "[email protected]"
    }
  ]
}