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VULNERABILITIES

CVE-2022-29210 Details

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.

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References to Advisories, Solutions, and Tools

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Weakness Enumeration

CWE-IDCWE NameSource
CWE-787Out-of-bounds Write[email protected]
CWE-120Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')[email protected]
CWE-122Heap-based Buffer Overflow[email protected]

Affected Products

ProductVersions
google tensorflow
2.8.0

CPE

  • cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:*

Remediation

  • No remediation found in references.

Change History

6 change records found show changes


QUICK INFO

CVE Dictionary Entry:
CVE-2022-29210
NVD Published Date:
May 21, 2022
NVD Last Modified:
Jun 17, 2026
Source:
[email protected]
CVE-2022-29210 Details - Not Deferred