CVE-2021-29541: TensorFlow - Null Pointer Dereference in StringNGrams
Summary
CVE-2021-29541: Null pointer dereference in StringNGrams. 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-2021-29541 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.
Vulnerability Detail
The vulnerability (CVE-2021-29541) exists in the tf.raw_ops.StringNGrams function of TensorFlow. It arises due to incomplete validation of the data_splits argument. This can lead to a null pointer dereference when the output tensor is computed to have a size of 0 or negative. Subsequent writes to the output tensor can trigger the null pointer dereference, potentially resulting in a crash or other unintended behavior.
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
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Workaround
There is no specific workaround mentioned for this vulnerability. Users are advised to update to the patched versions of TensorFlow as soon as they become available.
Conclusion
The vulnerability in TensorFlow (CVE-2021-29541) can be mitigated by updating to the patched versions of TensorFlow once they are released. Regularly updating TensorFlow is important to ensure the latest security fixes are applied. 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 can lead to a null pointer dereference, potentially resulting in a crash or other unintended behavior in TensorFlow applications.
The vulnerability affects TensorFlow versions 2.1.4, 2.2.3, 2.3.3, 2.4.2, and any versions prior to 2.1.4.
To fix this vulnerability, update your TensorFlow installation to the patched versions once they are released.
No specific workaround has been mentioned for this vulnerability. It is recommended to update to the patched versions of TensorFlow.
References
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