CVE-2022-41909: TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVaria
Summary
TensorFlow (an open source machine learning platform) has a vulnerability where invalid input to a specific function causes a segfault (a crash where the program tries to access memory it shouldn't). The bug occurs when `tf.raw_ops.CompositeTensorVariantToComponents` receives an `encoded` parameter that is not a valid `CompositeTensorVariant` tensor (a data structure for machine learning computations).
Solution / Mitigation
The issue has been patched in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11, and will also be backported to TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4.
Vulnerability Details
4.8(medium)
EPSS: 0.4%
Classification
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-41909
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%