CVE-2021-37676: 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 platform for machine learning) has a vulnerability where an attacker can trigger undefined behavior (unpredictable program crashes or malfunctions) by exploiting the `tf.raw_ops.SparseFillEmptyRows` function, which fails to check whether input arguments are empty tensors (multi-dimensional arrays). This flaw exists in the shape inference code, which is responsible for determining the size and structure of data.
Solution / Mitigation
The issue has been patched in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. 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-2021-37676
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 95%