CVE-2020-15266 — Improper Restriction of Operations within the Bounds of a Memory Buffer in Tensorflow
Severity
7.5HIGHNVD
CNA3.7
EPSS
0.1%
top 67.61%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
Timeline
PublishedOct 21
Latest updateNov 13
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.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HExploitability: 3.9 | Impact: 3.6
Affected Packages3 packages
Patches
🔴Vulnerability Details
4📋Vendor Advisories
1Debian▶
CVE-2020-15266: tensorflow - In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_...↗2020