CVE-2020-15266

Description

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

How to fix CVE-2020-15266

To remediate CVE-2020-15266, upgrade the affected package to a fixed version below.

• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later
• —upgrade to 2.4.0 or later

Is CVE-2020-15266 being exploited?

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

Affected packages (7)

• from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < 2.4.0
• from 0, < 2.4.0

CVSS scores

References (8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2020-15266
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-296.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-331.yaml