Improper Check for Unusual or Exceptional Conditions in TensorFlow - CVE-2022-23593
Published: November 16, 2023
Vulnerability identifier: #VU83225
CSH Severity: Medium
CVSS v4: 8.7 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N]
CVE-ID: CVE-2022-23593
CWE-ID: CWE-754
Exploitation vector: Remote access
Exploit availability:
No public exploit available
Vulnerability details
The vulnerability allows a remote attacker to perform a denial of service (DoS) attack.
The vulnerability exists due to simplifyBroadcast() function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. A remote attacker can send specially crafted data to the application and perform a denial of service (DoS) attack.
Affected software
TensorFlow
IBM Watson Machine Learning Accelerator
IBM Watson Machine Learning Accelerator
How to mitigate CVE-2022-23593
Install updates from vendor's website.
TensorFlow - update to 2.8.0
External References
- https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2
- https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a