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CVE-2020-15190

Description

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the tf.raw_ops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is nullptr, hence we are binding a reference to nullptr. This is undefined behavior and reported as an error if compiling with -fsanitize=null. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Risk Information

Base Score
5.3
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
EPSS Score
Exploitation Probability
0.189

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 1.15.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.0.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.1.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.2.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 1.15.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.1.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 1.15.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.0.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.1.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.1Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 1.15.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.0.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.1.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 1.15.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.1.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 1.15.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.0.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.1.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.2.1Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.1Linux

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