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.

How to fix CVE-2020-26266

To remediate CVE-2020-26266, upgrade the affected package to a fixed version below.

• —upgrade to 1.15.5 or later
• —upgrade to 1.15.5 or later
• —upgrade to ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 or later
• —upgrade to ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 or later
• —upgrade to 1.15.5 or later
• —upgrade to ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 or later
• —upgrade to 1.15.5 or later

Is CVE-2020-26266 being exploited?

Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
• from 0, < 1.15.5
• from 0, < ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 | from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
• from 0, < ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 | from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
• from 0, < 1.15.5
• from 0, < ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 | from 0, < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
• from 0, < 1.15.5

CVSS scores

References (7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-26266
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-297.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-332.yaml