CVE-2021-29517: TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in
Summary
A vulnerability in TensorFlow (an open source platform for machine learning) allows a malicious user to crash the program by providing specially crafted input to the Conv3D function (a tool for processing 3D image data). The vulnerability occurs because the code performs a division or modulo operation (mathematical operations that can fail) based on user-provided data, and if certain values are zero, the program crashes.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. Additionally, the fix will be backported (applied to older versions still being supported) to TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
Vulnerability Details
2.5(low)
EPSS: 0.0%
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-2021-29517
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%