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.
Published 2020-10-21 21:15:12
Updated 2021-11-18 16:25:04
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: OverflowMemory Corruption

Products affected by CVE-2020-15266

Exploit prediction scoring system (EPSS) score for CVE-2020-15266

0.17%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 53 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15266

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.0
MEDIUM AV:N/AC:L/Au:N/C:N/I:N/A:P
10.0
2.9
NIST
7.5
HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
NIST
3.7
LOW CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
2.2
1.4
GitHub, Inc.

CWE ids for CVE-2020-15266

  • 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.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2020-15266

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