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OpenAdvisories
Medium · 5.3 CVE-2022-23595 BIT-tensorflow-2022-23595EUVD-2022-0287GHSA-fpcp-9h7m-ffpxPYSEC-2022-103PYSEC-2022-158PYSEC-2026-3173

Null pointer dereference in TensorFlow

Published Feb 4, 2022 · Updated Apr 22, 2025 · Assigned by GitHub_M

Description

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow >= 2.7.0, < 2.7.1, >= 2.6.0, < 2.6.3, < 2.5.3 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.5.3 2.5.3 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow < 2.5.3 · >= 2.6.0, < 2.6.3 · >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1 PYSEC-2026-3173
PyPI tensorflow-cpu < 2.5.3 2.5.3 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow-cpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-103
PyPI tensorflow-gpu < 2.5.3 2.5.3 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-fpcp-9h7m-ffpx
PyPI tensorflow-gpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-158

References