CVE-2021-41195: TensorFlow - Denial of Service Vulnerability
Summary
CVE-2021-41195: Crash in tf.math.segment_* operations. Affects tensorflow across 3 version ranges.
< 2.4.4
>= 2.5.0, < 2.5.2
>= 2.6.0, < 2.6.1
Fixed in 2.4.4, 2.5.2 or 2.6.1, depending 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-2021-41195 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 building 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 (DoS) attack.
Vulnerability Detail
The vulnerability, identified as CVE-2021-41195, affects the implementation of tf.math.segment_* operations in TensorFlow. When a segment id in segment_ids is large, it triggers a CHECK-fail related abort, resulting in a DoS condition. This vulnerability is similar to previously reported vulnerabilities in TensorFlow, such as CVE-2021-29584. The issue arises from the computation of the output shape using AddDim, which can cause a CHECK failure and a subsequent std::abort if the number of elements in the tensor overflows an int64_t value. The impact of this vulnerability is the disruption of TensorFlow-based applications and services, leading to service unavailability.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.4.42.4.4 -
>= 2.5.0, < 2.5.22.5.2 -
>= 2.6.0, < 2.6.12.6.1
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Workaround
There is no specific workaround mentioned for this vulnerability.
Conclusion
The vulnerability in TensorFlow can result in a denial of service (DoS) condition, impacting the availability of TensorFlow-based applications and services. It is crucial to update to the latest patched version of TensorFlow to mitigate this vulnerability. For further support on vulnerability remediation, you can reach out to 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.
The vulnerability can lead to a denial of service (DoS) condition, causing disruption to TensorFlow-based applications and services.
To fix this vulnerability, update to the latest patched version of TensorFlow (2.7.0 or backported versions).
No specific workarounds have been mentioned for this vulnerability.
Yes, there are other machine learning frameworks available, such as PyTorch and scikit-learn.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
