CVE-2026-63632
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.
CVSS
- Versión: 3.1
- Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
- Puntuación base: 3.3
Probabilidad de explotación (EPSS)
- Probabilidad de explotación en los próximos 30 días: 0.17%
- Percentil entre todas las CVEs puntuadas: 5
- Fecha de la puntuación: 6/10/2026
EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).
Tecnologías afectadas (1)
⚠ Inferidas por IA a partir de la descripción — NVD aún no ha analizado esta CVE; no son CPE verificados.
CWE
- CWE-125
Referencias
JSON original (NVD)
Mostrar
{
"id": "CVE-2026-63632",
"cveTags": [],
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-63632",
"role": "CISA Coordinator",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"version": "2.0.3",
"timestamp": "2026-08-18T18:51:22.894530Z"
}
}
],
"cvssMetricV31": [
{
"type": "Secondary",
"source": "security-advisories@github.com",
"cvssData": {
"scope": "UNCHANGED",
"version": "3.1",
"baseScore": 3.3,
"attackVector": "LOCAL",
"baseSeverity": "LOW",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
"integrityImpact": "NONE",
"userInteraction": "REQUIRED",
"attackComplexity": "LOW",
"availabilityImpact": "LOW",
"privilegesRequired": "NONE",
"confidentialityImpact": "NONE"
},
"impactScore": 1.4,
"exploitabilityScore": 1.8
}
]
},
"affected": [
{
"source": "security-advisories@github.com",
"affectedData": [
{
"vendor": "onnx",
"product": "onnx",
"versions": [
{
"status": "affected",
"version": ">= 1.3.0, < 1.22.0"
}
]
}
]
}
],
"published": "2026-08-18T15:16:56.463",
"references": [
{
"url": "https://github.com/onnx/onnx/commit/e9c74f596eaa0250f89e52a54160a25bbcb25b66",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/onnx/onnx/pull/7880",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/onnx/onnx/releases/tag/v1.22.0",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9",
"source": "security-advisories@github.com"
},
{
"url": "https://github.com/onnx/onnx/security/advisories/GHSA-p893-rvq9-2xf9",
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
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"vulnStatus": "Awaiting Analysis",
"weaknesses": [
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"type": "Secondary",
"source": "security-advisories@github.com",
"description": [
{
"lang": "en",
"value": "CWE-125"
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]
}
],
"descriptions": [
{
"lang": "en",
"value": "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."
}
],
"lastModified": "2026-09-18T20:05:53.723",
"sourceIdentifier": "security-advisories@github.com"
}