CVE-2021-29584
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/0908c2f2397c099338b901b067f6495a5b96760b/tensorflow/core/kernels/sparse_split_op.cc#L66-L70) builds a dense shape without checking that the dimensions would not result in overflow. The TensorShape constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a CHECK operation which triggers when InitDims(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use BuildTensorShapeBase or AddDimWithStatus to prevent CHECK-failures in the presence of overflows. 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