CVE-2022-35985: TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is
Summary
TensorFlow (an open source platform for machine learning) has a vulnerability in its `LRNGrad` function where passing an incorrectly formatted input tensor (one that is not 4-dimensional) causes the program to crash, allowing attackers to trigger a denial of service attack (making the system unavailable).
Solution / Mitigation
The issue was patched in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The fix is included in TensorFlow 2.10.0 and will be backported (applied to older supported versions) in TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2.
Vulnerability Details
5.9(medium)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
Related Issues
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CVE-2021-29541: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null p
Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-35985
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%