CVE-2022-23565: Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure
Summary
TensorFlow (an open-source machine learning framework) has a vulnerability where an attacker can crash the system by modifying a SavedModel file on disk to contain duplicate operation attributes, triggering an assertion failure (a built-in check that causes the program to stop if a condition is false). This is a denial of service attack (making a system unavailable to legitimate users).
Solution / Mitigation
Update to TensorFlow 2.8.0 or apply the patch from the commit at https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0. The fix will also be included in TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
Vulnerability Details
6.5(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-2022-23565
First tracked: February 15, 2026 at 08:40 PM
Classified by LLM (prompt v3) · confidence: 92%