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CVE-2020-15266

nvd nist
Published: Oct 21, 2020Modified: Jun 17, 2026

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7.5
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Exploitability: 3.9 / Impact: 3.6
Source: NVD

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.

Affected (1)

Products: Google: Tensorflow
Google
1 product
Tensorflow
Configuration A
1 vulnerable
Vulnerable SoftwareAffected Versions
Tensorflow
Before 2.4.0

Related CWEs

CWE-119
Improper Restriction of Operations within the Bounds of a Memory Buffer
The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.

References (6)

Source: security-advisories@github.com
ExploitPatchThird Party Advisory
Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitPatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory

Timeline

No history available yet.