CVE-2020-15209

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a nullptr buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with nullptr. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, 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
5.9
MODERATE
Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score
Exploitation Probability
0.357

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