CVE-2021-29559: TensorFlow is an end-to-end open source platform for machine learning. An attacker can access data outside of bounds of
Summary
TensorFlow, an open-source machine learning platform, has a vulnerability in the `tf.raw_ops.UnicodeEncode` function that allows attackers to read data outside the bounds of a heap allocated array (memory that a program has requested to store data). The problem occurs because the code assumes the input data describes a valid sparse tensor (a matrix with mostly empty values) without properly validating it first.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The fix will also be backported to TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
Vulnerability Details
2.5(low)
EPSS: 0.0%
Classification
Affected Vendors
Related Issues
CVE-2025-45150: Insecure permissions in LangChain-ChatGLM-Webui commit ef829 allows attackers to arbitrarily view and download sensitive
CVE-2025-54868: LibreChat is a ChatGPT clone with additional features. In versions 0.0.6 through 0.7.7-rc1, an exposed testing endpoint
Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29559
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%