CVE-2021-29527: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.ra
Summary
TensorFlow, an open source machine learning platform, has a vulnerability where an attacker can cause a division by zero error (crashing the program by dividing by zero) in the `tf.raw_ops.QuantizedConv2D` function by controlling a value that the code divides by. This happens because the code doesn't check if that value is zero before using it in math.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The vulnerability is also being patched in earlier versions: 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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Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29527
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%