CVE-2022-29210

Heap buffer overflow due to incorrect hash function in TensorFlow

State
Published
Severity
5.5 Medium
Published
May 20, 2022
Updated
Apr 23, 2025
Reserved
Apr 13, 2022

Read the record on cve.org

Description

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.

Scores

CVSSScoreVectorSource
3.15.5 MediumCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HGitHub_M

Weaknesses

  • CWE-120 Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
  • CWE-122 Heap-based Buffer Overflow

Affected Products

ProductVersions
tensorflowtensorflow
  • == 2.8.0Affected

References

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