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nvd-json-data-feeds/CVE-2021/CVE-2021-412xx/CVE-2021-41206.json
cad-safe-bot 5fc0b01395 Auto-Update: 2024-12-15T03:00:19.262894+00:00
2024-12-15 03:03:56 +00:00

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{
"id": "CVE-2021-41206",
"sourceIdentifier": "security-advisories@github.com",
"published": "2021-11-05T22:15:08.397",
"lastModified": "2024-11-21T06:25:46.353",
"vulnStatus": "Modified",
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{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range."
},
{
"lang": "es",
"value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. En las versiones afectadas, varias operaciones de TensorFlow no comprueban las formas de los argumentos del tensor involucrados en la llamada. Dependiendo de la API, esto puede resultar en un comportamiento indefinido y a ca\u00eddas relacionadas con segfault o \"CHECK\"-fail, pero en algunos escenarios tambi\u00e9n son posibles las escrituras y lecturas de arrays poblados por la pila. Hemos detectado estos problemas internamente por medio de herramientas mientras trabaj\u00e1bamos en mejorar/probar el determinismo de las operaciones de la GPU. Por lo tanto, no tenemos reproductores y habr\u00e1 m\u00faltiples correcciones para estos problemas. Estas correcciones ser\u00e1n incluidas en TensorFlow versi\u00f3n 2.7.0. Tambi\u00e9n vamos a recoger estos commits en TensorFlow versi\u00f3n 2.6.1, TensorFlow versi\u00f3n 2.5.2, y TensorFlow versi\u00f3n 2.4.4, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda en el rango admitido"
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