First published: Fri May 14 2021(Updated: )
### Impact The implementation of [`ParseAttrValue`](https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/framework/attr_value_util.cc#L397-L453) can be tricked into stack overflow due to recursion by giving in a specially crafted input. ### Patches We have patched the issue in GitHub commit [e07e1c3d26492c06f078c7e5bf2d138043e199c1](https://github.com/tensorflow/tensorflow/commit/e07e1c3d26492c06f078c7e5bf2d138043e199c1). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Credit: security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
pip/tensorflow-gpu | >=2.4.0<2.4.2 | 2.4.2 |
pip/tensorflow-gpu | >=2.3.0<2.3.3 | 2.3.3 |
pip/tensorflow-gpu | >=2.2.0<2.2.3 | 2.2.3 |
pip/tensorflow-gpu | <2.1.4 | 2.1.4 |
pip/tensorflow-cpu | >=2.4.0<2.4.2 | 2.4.2 |
pip/tensorflow-cpu | >=2.3.0<2.3.3 | 2.3.3 |
pip/tensorflow-cpu | >=2.2.0<2.2.3 | 2.2.3 |
pip/tensorflow-cpu | <2.1.4 | 2.1.4 |
pip/tensorflow | >=2.4.0<2.4.2 | 2.4.2 |
pip/tensorflow | >=2.3.0<2.3.3 | 2.3.3 |
pip/tensorflow | >=2.2.0<2.2.3 | 2.2.3 |
pip/tensorflow | <2.1.4 | 2.1.4 |
TensorFlow Keras | <2.1.4 | |
TensorFlow Keras | >=2.2.0<2.2.3 | |
TensorFlow Keras | >=2.3.0<2.3.3 | |
TensorFlow Keras | >=2.4.0<2.4.2 |
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CVE-2021-29615 is rated as high severity due to the potential for stack overflow through recursion.
To fix CVE-2021-29615, upgrade TensorFlow to version 2.4.2 or later.
CVE-2021-29615 affects TensorFlow versions earlier than 2.4.2 including versions 2.0.0 to 2.4.1.
CVE-2021-29615 may allow attackers to exploit applications that improperly handle parsed attributes, leading to crashes.
You can check your TensorFlow version by running pip show tensorflow in your command line to see if it is before 2.4.2.