GoogleOSV:BIT-TENSORFLOW-2020-15210BIT-tensorflow-2020-15210
5.8 Medium
CVSS2
Attack Vector
NETWORK
Attack Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:M/Au:N/C:N/I:P/A:P
6.5 Medium
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
LOW
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
6.6 Medium
AI Score
Confidence
High
0.002 Low
EPSS
Percentile
57.8%
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.
| CPE | Name | Operator | Version |
|---|---|---|---|
| tensorflow | ge | 2.2.0 | |
| tensorflow | lt | 2.1.2 | |
| tensorflow | lt | 2.0.3 | |
| tensorflow | lt | 2.3.1 | |
| tensorflow | ge | 2.1.0 | |
| tensorflow | ge | 2.0.0 | |
| tensorflow | lt | 2.2.1 | |
| tensorflow | lt | 1.15.4 | |
| tensorflow | ge | 2.3.0 |
Related
5.8 Medium
CVSS2
Attack Vector
NETWORK
Attack Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:M/Au:N/C:N/I:P/A:P
6.5 Medium
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
LOW
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
6.6 Medium
AI Score
Confidence
High
0.002 Low
EPSS
Percentile
57.8%