Id:
CVE-2020-15207
Comment
:
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
CVSSv2 Score:
6.8
Access vector:
|
NETWORK
|
Access complexity:
|
MEDIUM
|
Authentication:
|
NONE
|
Confidentiality impact:
|
PARTIAL
|
Integrity impact:
|
PARTIAL
|
Availability impact:
|
PARTIAL
|
CVSSv2 Vector:
AV:N/AC:M/Au:N/C:P/I:P/A:P
CVSSv3 Score:
9
Attack vector:
|
NETWORK
|
Attack complexity:
|
HIGH
|
Privileges required:
|
NONE
|
User interaction:
|
NONE
|
Scope:
|
CHANGED
|
Confidentiality impact:
|
HIGH
|
Integrity impact:
|
HIGH
|
Availability impact:
|
HIGH
|
CVSSv3 Vector:
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
References: