CVE-2026-63632

Source
https://cve.org/CVERecord?id=CVE-2026-63632
Import Source
https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-63632.json
JSON Data
https://api.osv.dev/v1/vulns/CVE-2026-63632
Aliases
Downstream
Published
2026-08-18T14:55:15Z
Modified
2026-09-20T14:13:52Z
Severity
  • 3.3 (Low) CVSS_V3 - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L CVSS Calculator
Summary
ONNX: Heap-Buffer-Overflow READ in Gemm Version Converter Adapter via Undersized Input Shape
Details

Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. From 1.3.0 until 1.22.0, onnx.version_converter.convert_version() can perform an out-of-bounds read in Gemm_7_6::adapt_gemm_7_6() in onnx/version_converter/adapters/gemm_7_6.h when a Gemm node has input tensors with fewer than two dimensions because B_shape[1], A_shape[0], or A_shape[1] is accessed without a rank check, potentially causing a process crash during an opset 7 to 6 downgrade. This issue is fixed in version 1.22.0.

Database specific
{
    "cna_assigner":  "GitHub_M",
    "cwe_ids":  [
        "CWE-125"
    ],
    "osv_generated_from":  "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/63xxx/CVE-2026-63632.json"
}
References

Affected packages

Git / github.com/onnx/onnx

Affected ranges

Type
GIT
Repo
https://github.com/onnx/onnx
Events
Database specific
Show details
{
    "extracted_events":  [
        {
            "introduced":  "1.3.0"
        },
        {
            "fixed":  "1.22.0"
        }
    ],
    "source":  [
        "AFFECTED_FIELD",
        "REFERENCES"
    ]
}

Affected versions

v1.*
v1.3.0

Database specific

source
"https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-63632.json"
vanir_signatures
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vanir_signatures_modified
"2026-09-20T14:13:52Z"