{
  "id": "CVE-2022-21741",
  "sourceIdentifier": "security-advisories@github.com",
  "published": "2022-02-03T15:15:08.077",
  "lastModified": "2024-11-21T06:45:20.903",
  "vulnStatus": "Modified",
  "descriptions": [
    {
      "lang": "en",
      "value": "Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
    },
    {
      "lang": "es",
      "value": "Tensorflow es un marco de aprendizaje autom\u00e1tico de c\u00f3digo abierto. ### Impacto Un atacante puede dise\u00f1ar un modelo TFLite que desencadene una divisi\u00f3n por cero en la implementaci\u00f3n de convoluciones en profundidad. Los par\u00e1metros de la convoluci\u00f3n pueden ser controlados por el usuario y tambi\u00e9n son usados dentro de una operaci\u00f3n de divisi\u00f3n para determinar el tama\u00f1o del relleno que necesita ser a\u00f1adido antes de aplicar la convoluci\u00f3n. Antes de esta divisi\u00f3n no es comprobado que el divisor sea estrictamente positivo. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.8.0. Tambi\u00e9n seleccionaremos este commit enTensorFlow versi\u00f3n 2.7.1, TensorFlow versi\u00f3n 2.6.3, y TensorFlow versi\u00f3n 2.5.3, ya que estos tambi\u00e9n est\u00e1n afectados y a\u00fan est\u00e1n en el rango admitido"
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "security-advisories@github.com",
        "type": "Secondary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 3.6
      },
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        "source": "nvd@nist.gov",
        "type": "Primary",
        "cvssData": {
          "version": "3.1",
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          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "HIGH"
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        "impactScore": 3.6
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    "cvssMetricV2": [
      {
        "source": "nvd@nist.gov",
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          "baseScore": 5.0,
          "accessVector": "NETWORK",
          "accessComplexity": "LOW",
          "authentication": "NONE",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "PARTIAL"
        },
        "baseSeverity": "MEDIUM",
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "acInsufInfo": false,
        "obtainAllPrivilege": false,
        "obtainUserPrivilege": false,
        "obtainOtherPrivilege": false,
        "userInteractionRequired": false
      }
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  },
  "weaknesses": [
    {
      "source": "nvd@nist.gov",
      "type": "Primary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-369"
        }
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    }
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  "references": [
    {
      "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/depthwise_conv.cc#L96",
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