CVE-2022-29199: Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`

Severity: medium (CVSS 5.5 v3.1)
Exploited in the wild: not listed in CISA KEV
EPSS: 0.3% probability of exploitation in the next 30 days
Public exploit or detection template: yes
Published: 2022-05-20 · updated 2026-06-17
Weakness: CWE-20

Description

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.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Affected products

tensorflow: before 2.6.4; from 2.7.0 before 2.7.2; 2.7.0-rc0, 2.7.0-rc1, 2.8.0, 2.8.0-rc0, 2.8.0-rc1, 2.9.0-rc0 (+1) — fixed in 2.6.4, 2.7.2

How to fix

Upgrade to a fixed version: tensorflow 2.6.4, 2.7.2. Check the vendor advisory for mitigations.

References

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