CVE-2018-7575: Buffer Overflow in Google TensorFlow
Summary
CVE-2018-7575: Google TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is context-dependent. Affects tensorflow versions < 1.7.1. Fixed in 1.7.1. How to fix ↓
Also tracked for
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
The same CVE-2018-7575 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
Check if this vulnerability affects your application
Upload a manifest or SBOM and we'll show whether you're affected, plus every other risky package in the same scan.
No signup required · Results in about 60 seconds
Background
Google TensorFlow is an open-source machine learning framework used for building and training neural networks. It provides a comprehensive ecosystem of tools, libraries, and resources for developing AI applications. TensorFlow versions 1.7.x and earlier are affected by a Buffer Overflow vulnerability. This vulnerability can be exploited in various contexts, leading to potential security breaches.
Vulnerability Detail
The Buffer Overflow vulnerability in Google TensorFlow arises due to improper handling of input data. An attacker can craft malicious input that exceeds the bounds of a buffer, causing the program to overwrite adjacent memory. This can result in the execution of arbitrary code or a system crash, potentially leading to remote code execution or denial of service attacks. The vulnerability affects versions 1.7.x and earlier of TensorFlow.
How To Fix
Latest published version: 2.21.0 as of 22 Oct 2026
pip install --upgrade "tensorflow==2.21.0"Upgrading to it may include breaking changes; the version below is the minimum fixed release for this vulnerability.
If you need the minimum change
1.7.1
This is the first release that contains the fix.
pip install --upgrade "tensorflow==1.7.1"Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →
Workaround
There is no known workaround for this vulnerability. It is crucial to update to the fixed version of TensorFlow to ensure the security of your system.
Conclusion
The Buffer Overflow vulnerability in Google TensorFlow can have severe security implications, including remote code execution and denial of service attacks. It is crucial to update to TensorFlow version 1.7.1 or later to mitigate this vulnerability. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open-source machine learning framework developed by Google. It provides a platform for building and training neural networks.
A Buffer Overflow vulnerability occurs when a program writes data beyond the boundaries of a buffer, leading to memory corruption and potential security exploits.
This vulnerability can be exploited by crafting malicious input that exceeds the bounds of a buffer, causing adjacent memory to be overwritten. This can lead to arbitrary code execution or system crashes.
Versions 1.7.x and earlier of TensorFlow are affected by this vulnerability.
Yes, upgrading to TensorFlow version 1.7.1 or later will fix this vulnerability.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
