CVE-2021-29569
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the input_min and input_max tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, .flat() is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds. 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