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nvd-json-data-feeds/CVE-2022/CVE-2022-291xx/CVE-2022-29198.json
cad-safe-bot 5fc0b01395 Auto-Update: 2024-12-15T03:00:19.262894+00:00
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{
"id": "CVE-2022-29198",
"sourceIdentifier": "security-advisories@github.com",
"published": "2022-05-20T22:16:40.810",
"lastModified": "2024-11-21T06:58:41.647",
"vulnStatus": "Modified",
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{
"lang": "en",
"value": "TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorToCSRSparseMatrix` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue."
},
{
"lang": "es",
"value": "TensorFlow es una plataforma de c\u00f3digo abierto para el aprendizaje autom\u00e1tico. En versiones anteriores a 2.9.0, 2.8.1, 2.7.2 y 2.6.4, la implementaci\u00f3n de \"tf.raw_ops.SparseTensorToCSRSparseMatrix\" no comprueba completamente los argumentos de entrada. Esto resulta en un fallo de \"CHECK\" que puede ser usado para desencadenar un ataque de denegaci\u00f3n de servicio. El c\u00f3digo asume que \"dense_shape\" es un vector y que \"indices\" es una matriz (como parte de los requisitos para los tensores dispersos) pero no es comprobado esto. Las versiones 2.9.0, 2.8.1, 2.7.2 y 2.6.4 contienen un parche para este problema"
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