CVE-2021-29607
Description
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of *_indices matches the size of corresponding *_shape. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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