TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data. Since the implementation(https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no constraints between dimensions(https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
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History
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MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:16:45
Updated: 2024-08-03T22:11:06.248Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29567
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:13.697
Modified: 2024-11-21T06:01:23.873
Link: CVE-2021-29567
Redhat
No data.