CVE-2020-26271: In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memo
Summary
TensorFlow has a vulnerability where loading a saved model can access uninitialized memory (data that hasn't been set to a known value) when building a computation graph. The bug occurs in the MakeEdge function, which connects parts of a neural network together, because it doesn't verify that array indices are valid before accessing them, potentially allowing attackers to leak memory addresses from the library.
Solution / Mitigation
This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0. Users should update to one of these patched versions.
Vulnerability Details
4.4(medium)
EPSS: 0.0%
Classification
Affected Vendors
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2020-26271
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%