CVE-2021-29516: TensorFlow - Null Pointer Dereference in RaggedTensorToVariant
Summary
CVE-2021-29516: Null pointer dereference via invalid Ragged 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-2021-29516 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.
Vulnerability Detail
Calling tf.raw_ops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of RaggedTensorToVariant operations does not validate that the ragged tensor argument is non-empty. This vulnerability can be exploited by an attacker to cause a null pointer dereference, leading to a crash or potential code execution.
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 provided fix or upgrade to the fixed versions of TensorFlow.
Conclusion
The vulnerability in TensorFlow can lead to a null pointer dereference, potentially resulting in a crash or code execution. It is crucial to apply the provided fix or upgrade to the fixed versions 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, widely used for building and deploying machine learning models.
This vulnerability can lead to a null pointer dereference, potentially causing a crash or code execution.
To fix this vulnerability, upgrade to TensorFlow 2.5.0 or later. Alternatively, update to the fixed versions for TensorFlow 2.4.2, 2.3.3, 2.2.3, or 2.1.4.
No, there is no known workaround for this vulnerability. It is recommended to apply the provided fix or upgrade to the fixed versions.
You can find more information about this vulnerability in the provided source link.
References
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