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.
Risk Information
Base Score
7.5
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.129
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Vulnerabilities CVE-2020-15265,CVE-2020-15266,CVE-2020-26269 are fixed in Python-tensorflow 2.4.0 | Windows |
| Vulnerabilities CVE-2020-15265,CVE-2020-15266 are fixed in Python-tensorflow-cpu 2.4.0 | Windows |
| Vulnerabilities CVE-2020-15265,CVE-2020-15266 are fixed in Python-tensorflow-gpu 2.4.0 | Windows |
| Vulnerabilities CVE-2020-15265,CVE-2020-15266,CVE-2020-26269 are fixed in Python-tensorflow for linux 2.4.0 | Linux |
| Vulnerabilities CVE-2020-15265,CVE-2020-15266 are fixed in Python-tensorflow-cpu for linux 2.4.0 | Linux |
| Vulnerabilities CVE-2020-15265,CVE-2020-15266 are fixed in Python-tensorflow-gpu for linux 2.4.0 | Linux |
Patch Details
No records foundReferences
https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234