Heap buffer overflow in Tensorflow

MITTEL 5.4CVE-2020-15198 · BIT-tensorflow-2020-15198 · GHSA-jc87-6vpp-7ff3 · Published 25/09/2020 · updated 17/06/2026

Kurz gesagt

CVE-2020-15198 ist eine Schwachstelle (MITTEL (CVSS 5.4)) in tensorflow, tensorflow-cpu, tensorflow-gpu.
Wahrscheinlichkeit einer Ausnutzung in den nächsten 30 Tagen (EPSS): 0.54%, höher als bei 45.8% aller Schwachstellen.
Abhilfe: auf 2.3.1 oder neuer aktualisieren.

Package	Affected versions	Patched versions
tensorflow PyPI	`≥ 2.3.0, < 2.3.1< 2.3.1`	`2.3.1`
tensorflow-cpu PyPI	`≥ 2.3.0, < 2.3.1< 2.3.1`	`2.3.1`
tensorflow-gpu PyPI	`≥ 2.3.0, < 2.3.1< 2.3.1`	`2.3.1`
tensorflow google	`≥ 2.3.0, < 2.3.1`	`2.3.1`

Description

Impact

The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed in parallel: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L193-L195

Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.

Patches

We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release.

We recommend users to upgrade to TensorFlow 2.3.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability is a variant of GHSA-p5f8-gfw5-33w4

NVD description

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.