CVE-2022-29196: TensorFlow - Denial of Service Vulnerability
Summary
CVE-2022-29196: Missing validation causes denial of service in TensorFlow via Conv3DBackpropFilterV2. Affects tensorflow across 3 version ranges.
< 2.6.4
>= 2.7.0, < 2.7.2
>= 2.8.0, < 2.8.1
Fixed in 2.6.4, 2.7.2 or 2.8.1, 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-2022-29196 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 domains for tasks such as image recognition, natural language processing, and recommendation systems. However, prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, TensorFlow is vulnerable to a denial of service attack due to a flaw in the implementation of tf.raw_ops.Conv3DBackpropFilterV2 function.
Vulnerability Detail
The vulnerability arises from the lack of input validation in the tf.raw_ops.Conv3DBackpropFilterV2 function. Specifically, the code does not properly validate the filter_sizes argument, allowing an attacker to trigger a CHECK-failure and cause a denial of service. By exploiting this vulnerability, an attacker can disrupt the availability of TensorFlow-based applications or services. The affected versions of TensorFlow include 2.9.0, 2.8.1, 2.7.2, and 2.6.4. However, a patch has been released in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 to address this issue.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.6.42.6.4 -
>= 2.7.0, < 2.7.22.7.2 -
>= 2.8.0, < 2.8.12.8.1
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 known workaround available for this vulnerability. It is strongly advised to update to the patched versions of TensorFlow as mentioned in the 'how_to_fix' section.
Conclusion
In conclusion, TensorFlow versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 are vulnerable to a denial of service attack due to a flaw in the tf.raw_ops.Conv3DBackpropFilterV2 function. It is crucial to update to the patched versions to mitigate this vulnerability. For further support and assistance in 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 developing and deploying machine learning models.
This vulnerability can be exploited to trigger a denial of service attack, potentially disrupting the availability of TensorFlow-based applications or services.
Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 of TensorFlow are affected by this vulnerability.
Yes, a patch has been released in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 of TensorFlow to address this vulnerability.
Users can update their TensorFlow installation by following the official documentation and guidelines provided by the TensorFlow project.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
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