5.5 Medium
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.1 Low
CVSS2
Access Vector
LOCAL
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:L/AC:L/Au:N/C:N/I:N/A:P
0.0004 Low
EPSS
Percentile
11.9%
The TFLite implementation of hashtable lookup is vulnerable to a division by zero error:
const int num_rows = SizeOfDimension(value, 0);
const int row_bytes = value->bytes / num_rows;
An attacker can craft a model such that values
’s first dimension would be 0.
We have patched the issue in GitHub commit 5117e0851348065ed59c991562c0ec80d9193db2.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
CPE | Name | Operator | Version |
---|---|---|---|
tensorflow | eq | 1.2.0 | |
tensorflow | eq | 2.0.3 | |
tensorflow | eq | 1.10.0 | |
tensorflow | eq | 1.6.0 | |
tensorflow | eq | 2.3.0 | |
tensorflow | eq | 1.15.0 | |
tensorflow | eq | 1.4.0 | |
tensorflow | eq | 1.15.2 | |
tensorflow | eq | 1.15.5 | |
tensorflow | eq | 1.4.1 |
5.5 Medium
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.1 Low
CVSS2
Access Vector
LOCAL
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:L/AC:L/Au:N/C:N/I:N/A:P
0.0004 Low
EPSS
Percentile
11.9%