fkie_cve-2020-15206
Vulnerability from fkie_nvd
Published
2020-09-25 19:15
Modified
2024-11-21 05:05
Summary
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Impacted products



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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow\u0027s `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
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    {
      "lang": "es",
      "value": "En Tensorflow versiones anteriores a 1.15.4, 2.0.3, 2.1.2, 2.2.1 y 2.3.1, cambiar el b\u00fafer del protocolo \"SavedModel\" de TensorFlow y alterar el nombre de las claves requeridas resulta en fallos de segmentaci\u00f3n y una corrupci\u00f3n de los datos mientras se carga el modelo.\u0026#xa0;Esto puede causar una denegaci\u00f3n de servicio en productos que usan \"tensorflow-serve\" u otras cuotas de inferencia como un servicio.\u0026#xa0;Los arreglos se agregaron en las commits f760f88b4267d981e13f4b302c437ae800445968 y fcfef195637c6e365577829c4d67681695956e7d (ambas en TensorFlow versiones 2.2.0 y 2.3.0 pero a\u00fan no se han actualizado a versiones anteriores).\u0026#xa0;Sin embargo, esto no fue suficiente, ya que #41097 reporta un modo de fallo diferente.\u0026#xa0;El problema es parcheado en el commit adf095206f25471e864a8e63a0f1caef53a0e3a6, y es publicado en TensorFlow versiones 1.15.4, 2.0.3, 2.1.2, 2.2.1 o 2.3.1"
    }
  ],
  "id": "CVE-2020-15206",
  "lastModified": "2024-11-21T05:05:05.090",
  "metrics": {
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        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 5.0,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "version": "2.0"
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        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
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        "userInteractionRequired": false
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          "attackVector": "NETWORK",
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          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
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        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2020-09-25T19:15:15.917",
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}


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