CVE-2021-29530: TensorFlow - Null Pointer Dereference in SparseMatrixSparseCholesky
Summary
CVE-2021-29530: Invalid validation in SparseMatrixSparseCholesky. 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-2021-29530 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
TensorFlow is an end-to-end open source platform for machine learning. It provides a comprehensive set of tools, libraries, and resources for building and deploying machine learning models. TensorFlow is widely used in various industries and research fields for tasks such as image recognition, natural language processing, and recommendation systems. However, a vulnerability has been discovered in TensorFlow that can lead to a null pointer dereference in the tf.raw_ops.SparseMatrixSparseCholesky function.
Vulnerability Detail
The vulnerability arises from a lack of proper input validation in the implementation of tf.raw_ops.SparseMatrixSparseCholesky. When an attacker provides an invalid permutation argument, a null pointer dereference occurs. Although there are checks in place, the code does not handle the failure of these checks correctly. As a result, the code proceeds to the next line, leading to the null pointer dereference. This vulnerability can be exploited by an attacker to cause a denial of service or potentially execute arbitrary code in the context of the affected application.
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 recommended to apply the official fix provided by the TensorFlow project.
Conclusion
In conclusion, the vulnerability in TensorFlow's tf.raw_ops.SparseMatrixSparseCholesky function can lead to a null pointer dereference, potentially resulting in a denial of service or arbitrary code execution. It is crucial to update to the latest patched version of TensorFlow 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 platform for machine learning that provides tools and libraries for building and deploying machine learning models.
A null pointer dereference occurs when a program attempts to access or manipulate memory using a null pointer, resulting in a crash or undefined behavior.
This vulnerability can be exploited by an attacker to cause a denial of service or potentially execute arbitrary code in the context of the affected application.
To fix this vulnerability, it is recommended to update to the latest patched version of TensorFlow (2.5.0 or later).
Yes, older versions of TensorFlow (2.4.2, 2.3.3, 2.2.3, and 2.1.4) are also affected by this vulnerability. It is recommended to update to the latest patched version.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
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