CVE-2022-35963: TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully
Summary
A bug in TensorFlow (an open source machine learning platform) within a function called `FractionalAvgPoolGrad` doesn't properly check its input data, causing an overflow (when a number becomes too large for the program to handle) that crashes the program and can be exploited to launch a denial of service attack (making a service unavailable to users).
Solution / Mitigation
The issue has been patched in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0 and will also be applied to 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
CVE-2022-29200: 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 implem
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-2022-35963
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%