CVE-2021-29544
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 tf.raw_ops.QuantizeAndDequantizeV4Grad. This is because the implementation does not validate the rank of the input_* tensors. In turn, this results in the tensors being passes as they are to QuantizeAndDequantizePerChannelGradientImpl. However, the vec method, requires the rank to 1 and triggers a CHECK failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
Risk Information
Base Score
5.5
MODERATE
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.067
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Multiple vulnerabilities are fixed in Python-tensorflow 2.4.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.4.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.4.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.4.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.2 | 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