CVE-2022-35971: TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors
Summary
TensorFlow, an open source machine learning platform, has a vulnerability in the `FakeQuantWithMinMaxVars` function where providing certain types of input tensors (multidimensional arrays of numbers) causes the program to crash, enabling a denial of service attack (making a system unavailable to users). The vulnerability has been identified and fixed in the codebase.
Solution / Mitigation
The fix is included in TensorFlow 2.10.0. Users of earlier versions should update to TensorFlow 2.9.1, TensorFlow 2.8.1, or TensorFlow 2.7.2, which will receive the patch through a cherry-pick (backporting the fix to older versions). No workarounds are available.
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-2022-35971
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%