CVE-2022-41891: TensorFlow Denial of Service Vulnerability
Summary
CVE-2022-41891: Segfault in tf.raw_ops.TensorListConcat in Tensorflow. Affects tensorflow across 3 version ranges.
< 2.8.4
>= 2.9.0, < 2.9.3
>= 2.10.0, < 2.10.1
Fixed in 2.8.4, 2.9.3 or 2.10.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · PyPI
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
- tensorflow · PyPI
The same CVE-2022-41891 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 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 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 denial of service attack.
Vulnerability Detail
The vulnerability (CVE-2022-41891) in TensorFlow is triggered when the tf.raw_ops.TensorListConcat function is given element_shape=[]. This results in a segmentation fault, which can be exploited to cause a denial of service attack. An attacker can craft a malicious input that triggers this vulnerability, causing the TensorFlow application to crash or become unresponsive. This can disrupt the availability of the application and potentially impact its users or dependent systems.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.8.42.8.4 -
>= 2.9.0, < 2.9.32.9.3 -
>= 2.10.0, < 2.10.12.10.1
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Workaround
There is no known workaround for this vulnerability. It is recommended to apply the provided patch or update TensorFlow to the latest patched version as soon as possible.
Conclusion
In conclusion, the vulnerability in TensorFlow (CVE-2022-41891) can lead to a denial of service attack. It is crucial to update TensorFlow to the latest patched version or apply the provided patch to mitigate the risk. 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 resources for developing and deploying machine learning models.
This vulnerability can be exploited to cause a denial of service attack, potentially disrupting the availability of the TensorFlow application.
To fix this vulnerability, update TensorFlow to version 2.11 or apply the provided patch. The patch has also been backported to versions 2.10.1, 2.9.3, and 2.8.4.
There is no known workaround for this vulnerability. It is recommended to update TensorFlow to the latest patched version.
More information about this vulnerability can be found in the GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
References
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