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CVE-2022-35940

Estado: ModificadaAlta (7.5)—

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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)

Google — Tensorflow

CWE

Referencias

JSON original (NVD)

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          "version": "2.0.3",
          "timestamp": "2025-04-23T14:00:04.077067Z"
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          "userInteraction": "NONE",
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          "privilegesRequired": "NONE",
          "confidentialityImpact": "NONE"
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        "exploitabilityScore": 2.2
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      "description": [
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          "value": "CWE-190"
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      "lang": "en",
      "value": "TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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. La función \"RaggedRangOp\" toma un argumento \"limits\" que es usada finalmente para construir un \"TensorShape\" como un \"int64\". Si \"limits\" es un flotador muy grande, puede desbordarse cuando es convertido en un \"int64\". Esto desencadena un \"InvalidArgument\" pero también lanza una señal de interrupción que bloquea el programa. Hemos parcheado el problema en el commit 37cefa91bee4eace55715eeef43720b958a01192 de GitHub. La corrección será incluida en TensorFlow versión 2.10.0. También seleccionaremos este compromiso en TensorFlow 2.9.1, TensorFlow 2.8.1 y TensorFlow 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": "2026-06-17T04:52:34.047",
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