Discover the details of CVE-2022-23592, a high-severity vulnerability in Tensorflow >= 2.7.0 and < 2.8.0. Learn about its impact, affected systems, and mitigation steps.
A detailed overview of the out of bounds read vulnerability in Tensorflow, impacting versions >= 2.7.0 and < 2.8.0.
Understanding CVE-2022-23592
This CVE-2022-23592 affects Tensorflow, an Open Source Machine Learning Framework, due to a heap out of bounds read vulnerability.
What is CVE-2022-23592?
Tensorflow's type inference issue can lead to a heap out of bounds read when the bounds checking is performed in a
DCHECK
, which is ineffective during production.
The Impact of CVE-2022-23592
The vulnerability has a CVSS Base Score of 8.1, making it a high-severity issue with a high impact on confidentiality and availability.
Technical Details of CVE-2022-23592
This section dives into the vulnerability description, affected systems, and the exploitation mechanism.
Vulnerability Description
An attacker can manipulate the
input_idx
variable to exceed the number of values in node_t.args
, triggering a heap out of bounds read.
Affected Systems and Versions
Tensorflow versions >= 2.7.0 and < 2.8.0 are vulnerable to this out of bounds read issue.
Exploitation Mechanism
By controlling the
input_idx
variable, an attacker can exploit this vulnerability to read out of bounds memory.
Mitigation and Prevention
Learn about the immediate steps to take and the long-term security practices to safeguard your systems.
Immediate Steps to Take
Update Tensorflow to version 2.8.0 once the fix is released to mitigate the vulnerability.
Long-Term Security Practices
Adopt secure coding practices and regularly update your software to prevent similar vulnerabilities.
Patching and Updates
Keep an eye out for patches and updates from Tensorflow to address security issues promptly.