CVE-2021-37658: TensorFlow - Null Pointer Dereference in MatrixSetDiagV* Operations
Summary
CVE-2021-37658: Reference binding to nullptr in MatrixSetDiagV* ops in TensorFlow. Affects tensorflow across 3 version ranges.
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
>= 2.5.0, < 2.5.1
Fixed in 2.3.4, 2.4.3 or 2.5.1, depending 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-2021-37658 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 ecosystem for building and deploying machine learning models. TensorFlow is widely used in various industries and research fields due to its flexibility and scalability. However, in certain versions of TensorFlow, there is a vulnerability that allows an attacker to cause undefined behavior by binding a reference to a null pointer in all operations of type tf.raw_ops.MatrixSetDiagV*.
Vulnerability Detail
The vulnerability arises from incomplete validation in the implementation of the tf.raw_ops.MatrixSetDiagV* operations. While there is a check to ensure that the value of k is a valid tensor (either a scalar or a vector), there is no check for the number of elements. If the tensor is empty, code that accesses the first element of the tensor will result in undefined behavior. This vulnerability can be exploited by an attacker to cause a denial of service or potentially execute arbitrary code.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
>= 2.3.0, < 2.3.42.3.4 -
>= 2.4.0, < 2.4.32.4.3 -
>= 2.5.0, < 2.5.12.5.1
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 specific workaround provided for this vulnerability.
Conclusion
The vulnerability in TensorFlow that allows a null pointer dereference in MatrixSetDiagV* operations has been identified and patched. Users are advised to update to the patched version once it is released. 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 a comprehensive ecosystem for building and deploying machine learning models.
This vulnerability allows an attacker to cause undefined behavior, potentially leading to a denial of service or arbitrary code execution.
Versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, 2.5.0, 2.6.0-rc0, 2.6.0-rc1, and 2.6.0-rc2 are affected by this vulnerability.
Yes, the vulnerability has been patched in the GitHub commit ff8894044dfae5568ecbf2ed514c1a37dc394f1b. The fix will be included in TensorFlow 2.6.0.
No specific workarounds have been provided for this vulnerability.
References
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