CVE-2022-29193: TensorFlow Denial of Service Vulnerability
Summary
CVE-2022-29193: Missing validation causes TensorSummaryV2 in TensorFlow to crash. 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-2022-29193 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, 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.TensorSummaryV2 function. This vulnerability allows an attacker to trigger a CHECK-failure, resulting in a denial of service condition.
Vulnerability Detail
The vulnerability in TensorFlow arises from the incomplete validation of input arguments in the tf.raw_ops.TensorSummaryV2 function. By exploiting this flaw, an attacker can trigger a CHECK-failure, leading to a denial of service attack. This vulnerability affects versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 of TensorFlow. However, versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch that addresses 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
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Workaround
There is no known workaround for this vulnerability. It is recommended to apply the patch provided in the updated versions of TensorFlow.
Conclusion
The vulnerability in TensorFlow's tf.raw_ops.TensorSummaryV2 function can be exploited to trigger a denial of service attack. It is crucial to update to the patched versions of TensorFlow (2.9.0, 2.8.1, 2.7.2, or 2.6.4) to mitigate this vulnerability. Regularly updating software dependencies is essential to ensure the security of machine learning applications. 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 allows an attacker to trigger a denial of service attack, potentially disrupting the availability of TensorFlow-based applications.
Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 of TensorFlow are affected by this vulnerability.
To fix this vulnerability, it is recommended to upgrade to TensorFlow version 2.9.0, 2.8.1, 2.7.2, or 2.6.4, which contain the necessary patch.
There is no known workaround for this vulnerability. Applying the patch provided in the updated versions of TensorFlow is the recommended solution.
References
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