Id:
CVE-2020-15210
Comment
:
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
CVSSv2 Score:
5.8
Access vector:
|
NETWORK
|
Access complexity:
|
MEDIUM
|
Authentication:
|
NONE
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
PARTIAL
|
Availability impact:
|
PARTIAL
|
CVSSv2 Vector:
AV:N/AC:M/Au:N/C:N/I:P/A:P
CVSSv3 Score:
6.5
Attack vector:
|
NETWORK
|
Attack complexity:
|
HIGH
|
Privileges required:
|
NONE
|
User interaction:
|
NONE
|
Scope:
|
UNCHANGED
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
LOW
|
Availability impact:
|
HIGH
|
CVSSv3 Vector:
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
References: