Vulnerability · Published May 20, 2022 · Assigned by GitHub_M

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

Medium 5.5

In plain English

A medium-severity buffer overflow in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 14% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.5Medium
Exploit odds (30 days)0.2%top 86.1% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.8.1GHSA-hc2f-7r5r-r2hg
PyPItensorflow2.8.1PYSEC-2026-3200
PyPItensorflow-cpu2.8.1GHSA-hc2f-7r5r-r2hg
PyPItensorflow-cpu2.8.1PYSEC-2026-3339
PyPItensorflow-gpu2.8.1GHSA-hc2f-7r5r-r2hg
PyPItensorflow-gpu2.8.1PYSEC-2026-1007

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow == 2.8.0

Weakness: CWE-120, CWE-122 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References