CVE-2021-37666: TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefi
Summary
TensorFlow, an open source machine learning platform, has a vulnerability (CVE-2021-37666) where attackers can cause undefined behavior (unpredictable program crashes or errors) by exploiting incomplete validation in the RaggedTensorToVariant function. The flaw occurs when the function receives empty input values that it doesn't properly check for.
Solution / Mitigation
The issue has been patched in GitHub commit be7a4de6adfbd303ce08be4332554dff70362612. The fix will be included in TensorFlow 2.6.0, and will also be back-ported to TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.
Vulnerability Details
7.8(high)
EPSS: 0.0%
Classification
Taxonomy References
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-37666
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 92%