CVE-2021-37674: TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a de
Summary
TensorFlow, an open-source machine learning platform, has a vulnerability where attackers can cause a denial of service (making a system unavailable by crashing it) through a segmentation fault (a memory error that crashes a program) in the MaxPoolGrad operation due to missing input validation on certain data structures called tensors. The vulnerability exists because an earlier fix for a related issue was incomplete.
Solution / Mitigation
The issue has been patched in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0 and will be backported to TensorFlow 2.5.1, 2.4.3, and 2.3.4.
Vulnerability Details
5.5(medium)
EPSS: 0.0%
Classification
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-37674
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 95%