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CVE-2022-35985: `CHECK` fail in `LRNGrad` in TensorFlow

• Severity: high (CVSS 7.5 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.5% probability of exploitation in the next 30 days
• Public exploit or detection template: none known
• Published: 2022-09-16 · updated 2026-06-17
• Weakness: CWE-617

Description

TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected products

• tensorflow: before 2.7.2; from 2.8.0 before 2.8.1; from 2.9.0 before 2.9.1; 2.10-rc0, 2.10-rc1, 2.10-rc2, 2.10-rc3 — fixed in 2.7.2, 2.8.1, 2.9.1

How to fix

Upgrade to a fixed version: tensorflow 2.7.2, 2.8.1, 2.9.1. Check the vendor advisory for mitigations.

References

• https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp
• https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp

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