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
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Multiple vulnerabilities are fixed in Python-tensorflow 1.15.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.0.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.1.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 1.15.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.1.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 1.15.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.0.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.1.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 1.15.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.0.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.1.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 1.15.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.1.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 1.15.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.0.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.1.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.1 | Linux |
Patch Details
No records foundReferences
https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234