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OpenAdvisories
Medium · 5.3 CVE-2020-15204 BIT-tensorflow-2020-15204EUVD-2020-0200GHSA-q8gv-q7wr-9jf8PYSEC-2020-127PYSEC-2020-284PYSEC-2020-319

Segfault in Tensorflow

Published Sep 25, 2020 · Updated Aug 4, 2024 · Assigned by GitHub_M

Description

In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, calling `tf.raw_ops.GetSessionHandle` or `tf.raw_ops.GetSessionHandleV2` results in a null pointer dereference In linked snippet, in eager mode, `ctx->session_state()` returns `nullptr`. Since code immediately dereferences this, we get a segmentation fault. The issue is patched in commit 9a133d73ae4b4664d22bd1aa6d654fec13c52ee1, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2, >= 2.2.0, < 2.2.1, >= 2.3.0, < 2.3.1 —

Fixed in Linux distributions

Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.

ReleasePackageFixed inAdvisory
openSUSE Leap 15.2 tensorflow2 +3 2.1.2-lp152.7.3.1 openSUSE-SU-2020:1766-1

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 1.15.4 1.15.4 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow >= 2.0.0, < 2.0.3 2.0.3 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow >= 2.1.0, < 2.1.2 2.1.2 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow >= 2.2.0, < 2.2.1 2.2.1 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 PYSEC-2020-127
PyPI tensorflow-cpu < 1.15.4 1.15.4 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-cpu >= 2.0.0, < 2.0.3 2.0.3 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-cpu >= 2.1.0, < 2.1.2 2.1.2 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-cpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-cpu < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 PYSEC-2020-284
PyPI tensorflow-gpu < 1.15.4 1.15.4 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-gpu >= 2.0.0, < 2.0.3 2.0.3 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-gpu >= 2.1.0, < 2.1.2 2.1.2 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-gpu >= 2.2.0, < 2.2.1 2.2.1 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-q8gv-q7wr-9jf8
PyPI tensorflow-gpu < 1.15.4 · >= 2.0.0, < 2.0.3 · >= 2.1.0, < 2.1.2 · >= 2.2.0, < 2.2.1 · >= 2.3.0, < 2.3.1 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 PYSEC-2020-319

Advisories 1

References