Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M

CVE-2020-15204Segfault in Tensorflow

Medium 5.3

In plain English

A medium-severity null pointer dereference in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.9% (higher than 60% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)5.3Medium
Exploit odds (30 days)0.9%top 40.1% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official 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 packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.1.2GHSA-q8gv-q7wr-9jf8
PyPItensorflow2.2.1GHSA-q8gv-q7wr-9jf8
PyPItensorflow2.3.1GHSA-q8gv-q7wr-9jf8
PyPItensorflow1.15.4GHSA-q8gv-q7wr-9jf8
PyPItensorflow1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1PYSEC-2020-127
PyPItensorflow2.0.3GHSA-q8gv-q7wr-9jf8
PyPItensorflow-cpu2.3.1GHSA-q8gv-q7wr-9jf8
PyPItensorflow-cpu1.15.4GHSA-q8gv-q7wr-9jf8
PyPItensorflow-cpu2.0.3GHSA-q8gv-q7wr-9jf8
PyPItensorflow-cpu2.1.2GHSA-q8gv-q7wr-9jf8
PyPItensorflow-cpu2.2.1GHSA-q8gv-q7wr-9jf8
PyPItensorflow-cpu1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1PYSEC-2020-284
PyPItensorflow-gpu2.1.2GHSA-q8gv-q7wr-9jf8
PyPItensorflow-gpu2.2.1GHSA-q8gv-q7wr-9jf8
PyPItensorflow-gpu2.3.1GHSA-q8gv-q7wr-9jf8
PyPItensorflow-gpu1.15.4GHSA-q8gv-q7wr-9jf8
PyPItensorflow-gpu1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1PYSEC-2020-319
PyPItensorflow-gpu2.0.3GHSA-q8gv-q7wr-9jf8

Affected products (as reported)

VendorProductVersions
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

Weakness: CWE-476 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

References