CVE-2021-29615: TensorFlow - Stack Overflow Vulnerability
Summary
CVE-2021-29615: Stack overflow in ParseAttrValue with nested tensors. Affects tensorflow across 4 version ranges.
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓
Also tracked for
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
The same CVE-2021-29615 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
Habilume
Habit tracker with a companion that grows with you
Complete habits, earn Lume Points, and watch your Lume grow as you stay consistent.
Background
TensorFlow is an end-to-end open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow is widely used in various domains, including research, industry, and academia. However, a vulnerability has been discovered in the implementation of the ParseAttrValue function, which can lead to a stack overflow due to recursion. This vulnerability affects versions 0.0.0 to 2.1.3, 2.2.0 to 2.2.2, 2.3.0 to 2.3.2, and 2.4.0 to 2.4.1 of TensorFlow.
Vulnerability Detail
The ParseAttrValue function in TensorFlow can be exploited by providing a specially crafted input, causing a stack overflow due to recursive calls. An attacker can leverage this vulnerability to execute arbitrary code or cause a denial-of-service (DoS) condition. The impact of this vulnerability can range from unauthorized access to sensitive information to the complete compromise of the affected system. It is important to note that this vulnerability affects multiple versions of TensorFlow, making it crucial for users to update to the fixed versions.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.1.42.1.4 -
>= 2.2.0, < 2.2.32.2.3 -
>= 2.3.0, < 2.3.32.3.3 -
>= 2.4.0, < 2.4.22.4.2
Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →
Workaround
There is no known workaround for this vulnerability. It is highly recommended to update TensorFlow to the fixed versions as soon as possible.
Conclusion
In conclusion, the stack overflow vulnerability in TensorFlow's ParseAttrValue function can have serious security implications. It is crucial for users to update their TensorFlow installations to the fixed versions to mitigate the risk of exploitation. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning, providing tools and resources for developing and deploying machine learning models.
This vulnerability can lead to a stack overflow, potentially allowing an attacker to execute arbitrary code or cause a denial-of-service condition.
Versions 0.0.0 to 2.1.3, 2.2.0 to 2.2.2, 2.3.0 to 2.3.2, and 2.4.0 to 2.4.1 of TensorFlow are affected.
No, there is no known workaround. It is recommended to update to the fixed versions of TensorFlow.
Users can update TensorFlow by following the official documentation and guidelines provided by the TensorFlow project.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
Habilume
Habit tracker with a companion that grows with you
Complete habits, earn Lume Points, and watch your Lume grow as you stay consistent.
