CVE-2020-15193: In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized
Summary
TensorFlow versions before 2.2.1 and 2.3.1 have a vulnerability in the `dlpack.to_dlpack` function where it can be tricked into using uninitialized memory (memory that hasn't been set to a known value), leading to further memory corruption. The problem occurs because the code assumes the input is a TensorFlow tensor, but an attacker can pass in a regular Python object instead, causing a faulty type conversion that accesses memory incorrectly.
Solution / Mitigation
Upgrade to TensorFlow version 2.2.1 or 2.3.1, where the issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8.
Vulnerability Details
7.1(high)
EPSS: 0.2%
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-2020-15193
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 92%