CVE-2021-37677

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.raw_ops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses axis to select between two different values for minmax_rank which is then used to retrieve tensor dimensions. However, code assumes that axis can be either -1 or a value greater than -1, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

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
0.009

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.4.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.5.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.5.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.5.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.4.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.5.1Linux

Patch Details

No records found

References

https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234