CVE-2022-29207: Undefined behavior when users supply invalid resource handles in TensorFlow

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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. 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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