CVE-2022-29210

CVE-2022-29210 · Heap buffer overflow due to incorrect hash function in TensorFlow

This page contains facts from public vulnerability sources. Check the original advisory before updating.

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.

CVSS 5.5 · Medium · EPSS 0.2% · Fix available

Published

2022-05-20T23:25:21.000Z

Updated

2025-04-23T18:23:44.004Z

Stack: python

Check your server →