Safety vulnerability ID: 56703
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow is an open source platform for machine learning. In version 2.8.0, the 'TensorKey' hash function used total estimated 'AllocatedBytes()', which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. 'int32_t'). It also tried to access individual tensor bytes through 'tensor.data()' of size 'AllocatedBytes()'. This led to ASAN failures because the 'AllocatedBytes()' is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the '.data()' buffer. The discoverers could not use this byte vector anyway because types such as 'tstring' include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.
Latest version: 2.14.0
TensorFlow is an open source machine learning framework for everyone.
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