CVE-2021-29558: TensorFlow Heap Buffer Overflow in tf.raw_ops.SparseSplit
Summary
CVE-2021-29558: Heap buffer overflow in SparseSplit. 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-2021-29558 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 identified as CVE-2021-29558 affects TensorFlow versions 0 and above. It specifically targets the tf.raw_ops.SparseSplit function. The vulnerability arises due to a heap buffer overflow caused by accessing an array element based on a user-controlled offset. An attacker can exploit this vulnerability to execute arbitrary code or cause a denial of service (DoS) attack. The impact of this vulnerability can be severe, potentially leading to unauthorized access, data leakage, or system compromise.
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 known workaround for this vulnerability. It is essential to apply the provided fix or upgrade to a patched version of TensorFlow as soon as possible.
Conclusion
The vulnerability identified as CVE-2021-29558 in TensorFlow poses a significant risk to systems utilizing affected versions. It is crucial to apply the recommended fix or upgrade to a patched version to mitigate the potential impact. 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.
The vulnerability can be exploited by an attacker to execute arbitrary code or cause a denial of service (DoS) attack, potentially leading to unauthorized access, data leakage, or system compromise.
The vulnerability affects TensorFlow versions 0 and above. Specifically, versions 2.1.4, 2.2.3, 2.3.3, 2.4.2, and any versions prior to 2.5.0 are vulnerable.
To fix this vulnerability, it is recommended to upgrade to TensorFlow version 2.5.0 or any subsequent version. Alternatively, users of affected versions can update to the respective fixed versions: 2.4.2, 2.3.3, 2.2.3, or 2.1.4.
No, there is no known workaround for this vulnerability. It is crucial to apply the provided fix or upgrade to a patched version of TensorFlow.
References
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