Learn about CVE-2019-16778, a vulnerability in TensorFlow before version 1.15 that could lead to a heap buffer overflow in the UnsortedSegmentSum function. Find out the impact, affected systems, and mitigation steps.
Prior to version 1.15 of TensorFlow, a vulnerability could occur in the UnsortedSegmentSum function, leading to a heap buffer overflow when the Index template argument is set to int32. Although the likelihood of exploitation is low, TensorFlow addressed this issue in versions 1.15 and 2.0.
Understanding CVE-2019-16778
This CVE describes a heap buffer overflow vulnerability in the UnsortedSegmentSum function of TensorFlow.
What is CVE-2019-16778?
In TensorFlow versions before 1.15, a specific condition in the UnsortedSegmentSum function could trigger a heap buffer overflow, potentially allowing access to heap memory beyond the specified bounds.
The Impact of CVE-2019-16778
The impact of this vulnerability is considered low, with a CVSS base score of 2.6. Although the risk of exploitation is minimal, it could lead to accessing memory outside the intended boundaries.
Technical Details of CVE-2019-16778
This section provides detailed technical information about the vulnerability.
Vulnerability Description
The vulnerability arises due to a conversion issue from int64 to int32 in the data_size and num_segments fields, potentially resulting in negative numbers and accessing out-of-bounds heap memory.
Affected Systems and Versions
Exploitation Mechanism
Mitigation and Prevention
To address CVE-2019-16778, follow these mitigation strategies:
Immediate Steps to Take
Long-Term Security Practices
Patching and Updates