CVE-2022-29210
Heap buffer overflow due to incorrect hash function in TensorFlow
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.
How to fix CVE-2022-29210
To remediate CVE-2022-29210, upgrade the affected package to a fixed version below.
- —upgrade to 2.8.1 or later
- —upgrade to 2.8.1 or later
- —upgrade to 2.8.1 or later
- —upgrade to 2.8.1 or later
Is CVE-2022-29210 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (4)
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |