CVE-2021-29542: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by p
Summary
TensorFlow, a machine learning platform, has a vulnerability where attackers can cause a heap buffer overflow (a memory safety error where data is written beyond allocated memory) by sending specially crafted inputs to the `tf.raw_ops.StringNGrams` function. The problem occurs because the code doesn't properly handle edge cases where input splitting results in only padding elements, potentially causing the program to read from invalid memory locations.
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The vulnerability will also be patched in 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-2022-21727: Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulne
CVE-2026-22252: LibreChat is a ChatGPT clone with additional features. Prior to v0.8.2-rc2, LibreChat's MCP stdio transport accepts arbi
Original source: https://nvd.nist.gov/vuln/detail/CVE-2021-29542
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%