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CVE-2022-35999

Estado: ModificadaAlta (7.5)—

TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

CVSS

Probabilidad de explotación (EPSS)

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)

CWE

Referencias

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  "id": "CVE-2022-35999",
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          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2025-04-23T13:58:14.238356Z"
        }
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        "type": "Secondary",
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          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 5.9,
          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "HIGH",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "NONE"
        },
        "impactScore": 3.6,
        "exploitabilityScore": 2.2
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        "type": "Primary",
        "source": "nvd@nist.gov",
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          "integrityImpact": "NONE",
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          "attackComplexity": "LOW",
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  "published": "2022-09-16T23:15:10.587",
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      "url": "https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346",
      "tags": [
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      "tags": [
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  "vulnStatus": "Modified",
  "weaknesses": [
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      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-617"
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  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue."
    },
    {
      "lang": "es",
      "value": "TensorFlow es una plataforma de código abierto para el aprendizaje automático. Cuando \"Conv2DBackpropInput\" recibe entradas \"out_backprop\" vacías (por ejemplo, \"[3, 1, 0, 1]\"), los núcleos actuales de CPU/GPU \"CHECK\" fallan (uno con dnnl, el otro con cudnn). Esto puede ser usado para desencadenar un ataque de denegación de servicio. Hemos parcheado el problema en el commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346 de GitHub. La corrección será incluida en TensorFlow versión 2.10.0. También seleccionaremos este compromiso en TensorFlow versión 2.9.1, TensorFlow versión 2.8.1, y TensorFlow versión 2.7.2, ya que estos también están afectados y todavía están en el rango admitido. No se presentan mitigaciones conocidas para este problema"
    }
  ],
  "lastModified": "2026-06-17T04:52:42.627",
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