CVE-2021-29548: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero
Summary
TensorFlow, an open source machine learning platform, has a vulnerability where attackers can trigger a division by zero error (attempting to divide a number by zero, which crashes a program) in a specific operation, causing the service to become unavailable. The bug exists because the code doesn't properly check all the requirements that should be enforced before running the operation.
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.
Vulnerability Details
2.5(low)
EPSS: 0.0%
Classification
Taxonomy References
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-2021-29548
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 92%