CVE-2020-26271

Description

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. 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
3.3
MODERATE
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
EPSS Score
Exploitation Probability
0.017

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