What’s Vulnerable › Vulnerabilities
CVE-2021-41209: FPE in convolutions with zero size filters
- Severity: low (CVSS 2.1 v2.0)
- Exploited in the wild: not listed in CISA KEV
- EPSS: 0.1% probability of exploitation in the next 30 days
- Public exploit or detection template: none known
- Published: 2021-11-05 · updated 2026-06-17
- Weakness: CWE-369
Description
TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Affected products
- tensorflow: from 2.4.0 before 2.4.4; from 2.5.0 before 2.5.2; from 2.6.0 before 2.6.1; 2.7.0-rc0, 2.7.0-rc1 — fixed in 2.4.4, 2.5.2, 2.6.1
How to fix
Upgrade to a fixed version: tensorflow 2.4.4, 2.5.2, 2.6.1. Check the vendor advisory for mitigations.
References
- https://github.com/tensorflow/tensorflow/commit/f2c3931113eaafe9ef558faaddd48e00a6606235
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6hpv-v2rx-c5g6
- https://github.com/tensorflow/tensorflow/commit/f2c3931113eaafe9ef558faaddd48e00a6606235
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6hpv-v2rx-c5g6
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