cve-2021-29514
Vulnerability from cvelistv5
Published
2021-05-14 19:36
Modified
2024-08-03 22:11
Summary
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.
Impacted products
Vendor Product Version
Show details on NVD website


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We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.\"},{\"lang\":\"es\",\"value\":\"TensorFlow es una plataforma de c\u00f3digo abierto de extremo a extremo para el aprendizaje autom\u00e1tico.\u0026#xa0;Si el argumento \\\"splits\\\" de \\\"RaggedBincount\\\" no especifica un \\\"SparseTensor\\\" v\u00e1lido (https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), entonces un atacante puede desencadenar un desbordamiento del b\u00fafer de la pila.\u0026#xa0;Esto causar\u00e1 una lectura desde fuera de l\u00edmites del b\u00fafer tensorial \\\"splits\\\" en una implementaci\u00f3n de la operaci\u00f3n \\\"RaggedBincount\\\" (https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op. cc#L430-L446).\u0026#xa0;Antes del bucle \\\"for\\\", \\\"batch_idx\\\" es establecido en 0. 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  }
}


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