CVE-2020-15208

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a DCHECK which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, 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
9.8
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score
Exploitation Probability
0.33

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