CVE-2021-37669: TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial
Summary
TensorFlow, an open-source machine learning platform, has a vulnerability in its `tf.raw_ops.NonMaxSuppressionV5` function that allows attackers to crash applications by supplying a negative number, which causes a division by zero error due to improper type conversion (converting a signed integer to an unsigned integer).
Solution / Mitigation
Update to TensorFlow 2.6.0 or apply the patches in GitHub commits 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. Patches are also being cherry-picked (backported) into TensorFlow 2.5.1, 2.4.3, and 2.3.4.
Vulnerability Details
5.5(medium)
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-2021-37669
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 95%