Id:
CVE-2020-15209
Comment
:
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.
CVSSv2 Score:
4.3
Access vector:
|
NETWORK
|
Access complexity:
|
MEDIUM
|
Authentication:
|
NONE
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
NONE
|
Availability impact:
|
PARTIAL
|
CVSSv2 Vector:
AV:N/AC:M/Au:N/C:N/I:N/A:P
CVSSv3 Score:
5.9
Attack vector:
|
NETWORK
|
Attack complexity:
|
HIGH
|
Privileges required:
|
NONE
|
User interaction:
|
NONE
|
Scope:
|
UNCHANGED
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
NONE
|
Availability impact:
|
HIGH
|
CVSSv3 Vector:
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
References: