CVE-2022-23559: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an intege
Summary
TensorFlow (an open-source machine learning framework) has a vulnerability where an attacker can create a malicious TFLite model (a lightweight version of TensorFlow for mobile devices) that causes an integer overflow (when a number calculation exceeds the maximum value a computer can store) in embedding lookup operations. This overflow can sometimes lead to heap OOB read/write (accessing memory outside the intended boundaries), potentially allowing attackers to read or corrupt data.
Solution / Mitigation
Users are advised to upgrade to a patched version. Patches are available at: https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043, https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4, and https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01
Vulnerability Details
8.8(high)
EPSS: 0.5%
Classification
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-23559
First tracked: February 15, 2026 at 08:40 PM
Classified by LLM (prompt v3) · confidence: 95%