CVE-2021-29580
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a CHECK condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. 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.
Risk Information
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Multiple vulnerabilities are fixed in Python-tensorflow 2.3.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.4.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.1.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.2.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.1.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.4.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.1.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.4.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.1.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.4.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.1.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.1.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.2.3 | Linux |
Patch Details
No records foundReferences
https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234