CVE-2021-29538
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a division by zero to occur in Conv2DBackpropFilter. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L513-L522) computes a divisor based on user provided data (i.e., the shape of the tensors given as arguments). If all shapes are empty then work_unit_size is 0. Since there is no check for this case before division, this results in a runtime exception, with potential to be abused for a denial of service. 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