Id:
CVE-2020-26270
Comment
:
In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
CVSSv2 Score:
2.1
Access vector:
|
LOCAL
|
Access complexity:
|
LOW
|
Authentication:
|
NONE
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
NONE
|
Availability impact:
|
PARTIAL
|
CVSSv2 Vector:
AV:L/AC:L/Au:N/C:N/I:N/A:P
CVSSv3 Score:
3.3
Attack vector:
|
LOCAL
|
Attack complexity:
|
LOW
|
Privileges required:
|
LOW
|
User interaction:
|
NONE
|
Scope:
|
UNCHANGED
|
Confidentiality impact:
|
NONE
|
Integrity impact:
|
NONE
|
Availability impact:
|
LOW
|
CVSSv3 Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
References: