CVE-2020-26266

Description

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Risk Information

Base Score
5.3
MODERATE
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
EPSS Score
Exploitation Probability
0.051

Associated Vulnerability

VulnerabilityOS Platform
Multiple vulnerabilities are fixed in Python-tensorflow 1.15.5Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.0.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.1.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.2.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow 2.3.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 1.15.5Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.1.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 1.15.5Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.0.4Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.1.3Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.2Windows
Multiple vulnerabilities are fixed in Python-tensorflow for linux 1.15.5Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.0.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.1.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 1.15.5Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.1.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 1.15.5Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.0.4Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.1.3Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.2.2Linux
Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.2Linux

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