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.
References (4)
Core 4
Core References
Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
Exploit, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qh32-6jjc-qprm
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/0b5662bc2be13a8c8f044d925d87fb6e56247cd8
Mailing List, Third Party Advisory vendor-advisory
x_refsource_suse
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
Scores
CVSS v3
5.9
EPSS
0.0036
EPSS Percentile
57.9%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Details
CWE
CWE-476
Status
published
Products (5)
google/tensorflow
< 1.15.4
opensuse/leap
15.2
pypi/tensorflow
0 - 1.15.4PyPI
pypi/tensorflow-cpu
0 - 1.15.4PyPI
pypi/tensorflow-gpu
0 - 1.15.4PyPI
Published
Sep 25, 2020
Tracked Since
Feb 18, 2026