TensorFlow has Floating Point Exception in TFLite in conv kernel
CVE-2023-27579

7.5HIGH

Key Information:

Vendor

Tensorflow
Status
Tensorflow
Vendor
CVE Published:
25 March 2023

What is CVE-2023-27579?

A vulnerability exists in TensorFlow that occurs when constructing a TensorFlow Lite model with the filter_input_channel parameter set to a value less than 1. This results in a floating point exception (FPE) that may disrupt model execution. The issue has been addressed in version 2.12 of TensorFlow, with a commit also being backported to version 2.11.1 to enhance model stability and security. Users are encouraged to upgrade to the patched versions to mitigate risks.

Affected Version(s)

tensorflow < 2.11.1

References

https://github.com/tensorflow/tensorflow/security/advisor...
x_refsource_CONFIRM
https://github.com/tensorflow/tensorflow/commit/34f8368c5...
x_refsource_MISC

CVSS V3.1

Score:
7.5
Severity:
HIGH
Confidentiality:
None
Integrity:
None
Availability:
None
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
None
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

.