CVE-2021-29600: TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `OneHot` TFLite operato
Summary
TensorFlow's `OneHot` operator (a component that converts index values into one-hot encoded vectors) in TFLite, the lightweight version for mobile devices, has a division by zero vulnerability. An attacker could create a malicious model that causes the operator to divide by zero, potentially crashing the system or causing unexpected behavior.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The vulnerability will also be patched in TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4, which are still in the supported range.
Vulnerability Details
2.5(low)
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-2021-29600
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 92%