CVE-2021-41196: TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a
Summary
TensorFlow (an open source machine learning platform) has a bug in its Keras pooling layers (functions that reduce data size by sampling from groups of values) that can cause a segfault (crash where the program tries to access invalid memory) if the pool size is 0 or if a dimension is negative, because the code doesn't check that these values are positive.
Solution / Mitigation
Update to TensorFlow 2.7.0, or apply the fix via cherrypicked commits in TensorFlow 2.6.1, TensorFlow 2.5.2, or TensorFlow 2.4.4.
Vulnerability Details
5.5(medium)
EPSS: 0.0%
Classification
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-2021-41196
First tracked: February 15, 2026 at 08:40 PM
Classified by LLM (prompt v3) · confidence: 95%