Upstream information
Description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.SUSE information
Overall state of this security issue: Does not affect SUSE products
This issue is currently rated as having important severity.
National Vulnerability Database | |
---|---|
Base Score | 2.1 |
Vector | AV:L/AC:L/Au:N/C:N/I:N/A:P |
Access Vector | Local |
Access Complexity | Low |
Authentication | None |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | Partial |
National Vulnerability Database | |
---|---|
Base Score | 5.5 |
Vector | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Attack Vector | Local |
Attack Complexity | Low |
Privileges Required | Low |
User Interaction | None |
Scope | Unchanged |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | High |
CVSSv3 Version | 3.1 |
SUSE Timeline for this CVE
CVE page created: Mon May 23 11:00:26 2022CVE page last modified: Thu Jun 29 11:56:42 2023