TensorFlow, an open source machine learning platform, has a vulnerability in its Map and OrderedMap operations where an attacker can cause undefined behavior (unpredictable or dangerous program actions) by exploiting a missing check for empty data indices. The code checks if indices are in order but doesn't verify they exist, leaving a gap that can lead to null pointer reference binding (attempting to use memory that hasn't been allocated).
The fix is included in TensorFlow 2.6.0 and was cherrypicked into TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4. Users of affected versions should update to one of these patched releases.
7.8(high)
EPSS: 0.0%
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-37671
First tracked: February 15, 2026 at 08:39 PM
Classified by LLM (prompt v3) · confidence: 92%