CVE-2021-29573: TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWith
lowvulnerability
security
Summary
TensorFlow, an open-source platform for machine learning, has a vulnerability in the `tf.raw_ops.MaxPoolGradWithArgmax` function where it divides by a batch dimension (a count of data samples) without first checking that the number is not zero. This can cause a division by zero error, which crashes the program or causes unexpected behavior.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The vulnerability will also be patched in earlier versions: TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
Vulnerability Details
CVSS Score
2.5(low)
EPSS (30-day exploit probability)
EPSS: 0.0%
Classification
Attack SophisticationModerate
Impact (CIA+S)
availability
AI Component TargetedFramework
Affected Vendors
Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29573
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 92%