CVE-2020-26266

Name
CVE-2020-26266
Description
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
NVD Severity
medium
Other trackers
CVE, NVD, CERT, CVE Details, CIRCL, Arch Linux, Debian, Red Hat, Ubuntu, Gentoo, SUSE (Bugzilla), SUSE (CVE), Mageia
Mailing lists
oss-security, full-disclosure, bugtraq
Exploits
Exploit DB, Metasploit
Forges
GitHub (code, issues), Aports (code, issues)

References

Type URI
Patch https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2

Match rules

CPE URI Source package Min version Max version
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* tensorflow >= None < 1.15.5
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* tensorflow >= 2.0.0 < 2.0.4
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* tensorflow >= 2.1.0 < 2.1.3
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* tensorflow >= 2.2.0 < 2.2.2
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* tensorflow >= 2.3.0 < 2.3.2

Vulnerable and fixed packages

Source package Branch Version Maintainer Status