Vulnerability Monitor

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CVE-2022-29211

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.5, requiring local system access to exploit with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts and availability (service disruption) for affected systems. Impacting 1 product from google organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2022, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.

Published

2022-05-21T00:15:11.650

Last Modified

2026-06-17T04:39:50.060

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.5 (MEDIUM)

CVSSv2 Vector

AV:L/AC:L/Au:N/C:N/I:N/A:P

Access Vector: LOCAL
Access Complexity: LOW
Authentication: NONE
Confidentiality Impact: NONE
Integrity Impact: NONE
Availability Impact: PARTIAL

Exploitability Score

3.9

Impact Score

2.9

Weaknesses

Type: Secondary
CWE-20

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 2.6.4	Yes
Application	google	tensorflow	< 2.7.2	Yes
Application	google	tensorflow	2.7.0	Yes
Application	google	tensorflow	2.7.0	Yes
Application	google	tensorflow	2.8.0	Yes
Application	google	tensorflow	2.8.0	Yes
Application	google	tensorflow	2.8.0	Yes
Application	google	tensorflow	2.9.0	Yes
Application	google	tensorflow	2.9.0	Yes

References

https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74 Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5 Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/issues/45770 Exploit, Issue Tracking, Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 Release Notes, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 Release Notes, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 Release Notes, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 Release Notes, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w Exploit, Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74 Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5 Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/issues/45770 Exploit, Issue Tracking, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 Release Notes, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 Release Notes, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 Release Notes, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 Release Notes, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w Exploit, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For google's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.