CVE-2022-35966: TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` te
Summary
A bug in TensorFlow (an open source platform for machine learning) called `QuantizedAvgPool` can crash when given certain types of inputs, allowing attackers to launch a denial of service attack (making a system unavailable). The issue has been fixed and will be released in upcoming versions of the software.
Solution / Mitigation
The fix is available in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The patch 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-2022-35966
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%