CVE-2021-37677: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for
Summary
TensorFlow, an open-source machine learning platform, has a vulnerability in its shape inference code for the `tf.raw_ops.Dequantize` function that could crash a system (denial of service via segfault, which is when a program crashes due to accessing invalid memory) if an attacker provides invalid arguments. The bug exists because the code doesn't properly validate the `axis` parameter before using it to access tensor dimensions (the size measurements of data structures in machine learning).
Solution / Mitigation
The issue has been patched in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix is included in TensorFlow 2.6.0 and will be backported to TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 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-2021-37677
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 95%