FKIE_CVE-2022-35938

Vulnerability from fkie_nvd - Published: 2022-09-16 20:15 - Updated: 2024-11-21 07:12
Severity ?
7.0 (High) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H
9.1 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
Summary
TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. 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.
References
security-advisories@github.comhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-3m3g-pf5v-5hpjPatch, Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tflite-micro/blob/1bc98621180a350eb4e8d3318ea8e228c7559b37/tensorflow/lite/micro/kernels/gather_nd.cc#L143-L154Third Party Advisory
security-advisories@github.comhttps://github.com/tensorflow/tflite-micro/commit/4142e47e9e31db481781b955ed3ff807a781b494Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3m3g-pf5v-5hpjPatch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tflite-micro/blob/1bc98621180a350eb4e8d3318ea8e228c7559b37/tensorflow/lite/micro/kernels/gather_nd.cc#L143-L154Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tflite-micro/commit/4142e47e9e31db481781b955ed3ff807a781b494Patch, Third Party Advisory
Impacted products
Vendor Product Version
google tensorflow *
google tensorflow *
google tensorflow *
google tensorflow 2.10
google tensorflow 2.10
google tensorflow 2.10
google tensorflow 2.10
To clipboard 

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      "value": "TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. 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."
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      "value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. La funci\u00f3n \"GatherNd\" toma argumentos que determinan el tama\u00f1o de las entradas y salidas. Si las entradas dadas son mayores o iguales a los tama\u00f1os de las salidas, es desencadenada una lectura de memoria fuera de los l\u00edmites o un bloqueo. Este problema ha sido corregido en el commit 4142e47e9e31db481781b955ed3ff807a781b494 de GitHub. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.10.0. Tambi\u00e9n seleccionaremos este compromiso en TensorFlow versi\u00f3n 2.9.1, TensorFlow versi\u00f3n 2.8.1, y TensorFlow versi\u00f3n 2.7.2, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda est\u00e1n en el rango admitido. No se presentan mitigaciones conocidas para este problema"
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Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.