CVE-2018-7577: Improper Input Validation in Google TensorFlow
Summary
CVE-2018-7577: Improper Input Validation in Google TensorFlow. Affects tensorflow versions >= 1.1.0, < 1.7.1. Fixed in 1.7.1. How to fix ↓
Also tracked for
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
The same CVE-2018-7577 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
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Background
Google TensorFlow is an open-source machine learning framework used for building and training neural networks. It provides a comprehensive set of tools and libraries for numerical computation and large-scale machine learning. TensorFlow is widely used in various domains, including research, industry, and academia. However, a vulnerability has been identified in TensorFlow that could potentially lead to a crash or unauthorized memory access.
Vulnerability Detail
The vulnerability, identified as CVE-2018-7577, is due to an improper input validation issue in the Google Snappy library version 1.1.4, which is used by TensorFlow. This vulnerability can be exploited when performing a memcpy operation with overlapping source and destination memory regions. As a result, it may cause a crash or allow an attacker to read sensitive information from other parts of the process memory. The severity of this vulnerability is rated as HIGH with a CVSS score of 8.1.
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 specific workaround available for this vulnerability. It is essential to update TensorFlow to the patched version to mitigate the risk of exploitation.
Conclusion
In conclusion, the vulnerability identified as CVE-2018-7577 in Google TensorFlow poses a significant risk of crashing the application or unauthorized memory access. It is crucial to update TensorFlow to version 1.7.1 or later to mitigate this vulnerability. For further support and assistance in 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 wide range of tools and libraries for building and training neural networks.
The vulnerability could result in a crash or unauthorized access to sensitive information in the process memory of TensorFlow.
To fix this vulnerability, update TensorFlow to version 1.7.1 or later, which includes a patch for the improper input validation issue.
No, there is no specific workaround available. Updating to the patched version is the recommended solution.
The severity of this vulnerability is rated as HIGH with a CVSS score of 8.1.
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