cbcvebase.
CVE-2020-15266
published 2020-10-21

CVE-2020-15266: 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…

PriorityP335high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.93%
56.5th percentile
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.

Affected

4 ranges
VendorProductVersion rangeFixed in
debiantensorflow
googletensorflow< 2.4.02.4.0
inteloptimization_for_tensorflow>= 0 < 2.4.02.4.0
tensorflowtensorflow< 2.4.02.4.0

CVSS provenance

nvdv3.17.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
nvdv2.05.0MEDIUMAV:N/AC:L/Au:N/C:N/I:N/A:P
vendor_debian3.7LOW
Stop checking back — get the weekly exploitation signal.

Every Monday: what got weaponized or added to CISA KEV in the last seven days — each CVE cross-linked to its PoC, Nuclei template, and detection rule. Free, one email a week, unsubscribe in one click.