Discover the impact of CVE-2018-7577, a vulnerability in Google TensorFlow due to Google Snappy library issues. Learn about mitigation steps and prevention measures.
Google Snappy library 1.1.4 used in Google TensorFlow before version 1.7.1 has a vulnerability that could lead to memory-related issues.
Understanding CVE-2018-7577
In May 2018, CVE-2018-7577 was published, highlighting a potential crash or memory reading problem in Google TensorFlow due to a vulnerability in the Google Snappy library.
What is CVE-2018-7577?
The vulnerability in the Google Snappy library version 1.1.4, as utilized in Google TensorFlow before version 1.7.1, could result in a crash or reading from different sections of the process memory. This issue arises from overlapping parameters in the memcpy function.
The Impact of CVE-2018-7577
The vulnerability could allow attackers to crash the application or potentially read sensitive information from the process memory, leading to security breaches and data leaks.
Technical Details of CVE-2018-7577
Google Snappy library's vulnerability in TensorFlow requires a closer look at its technical aspects.
Vulnerability Description
The issue stems from overlapping parameters in the memcpy function within the Google Snappy library version 1.1.4, impacting Google TensorFlow versions prior to 1.7.1.
Affected Systems and Versions
Exploitation Mechanism
Attackers can exploit this vulnerability by manipulating parameters in the memcpy function, causing crashes or unauthorized memory reads.
Mitigation and Prevention
Protecting systems from CVE-2018-7577 requires immediate actions and long-term security measures.
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates