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CVE-2020-15192
September 25, 2020
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to "dlpack.to_dlpack" there is a memory leak following an expected validation failure. The issue occurs because the "status" argument during validation failures is not properly checked. Since each of the above methods can return an error status, the "status" value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Affected Packages
tensorflow-gpu (PYTHON):
Affected version(s) =2.3.0 <2.3.1
Fix Suggestion:
Update to version 2.3.1
tensorflow-gpu (PYTHON):
Affected version(s) =2.2.0 <2.2.1
Fix Suggestion:
Update to version 2.2.1
tensorflow-cpu (PYTHON):
Affected version(s) =2.2.0 <2.2.1
Fix Suggestion:
Update to version 2.2.1
tensorflow (PYTHON):
Affected version(s) =2.3.0 <2.3.1
Fix Suggestion:
Update to version 2.3.1
tensorflow (PYTHON):
Affected version(s) =2.2.0 <2.2.1
Fix Suggestion:
Update to version 2.2.1
tensorflow-cpu (PYTHON):
Affected version(s) =2.3.0 <2.3.1
Fix Suggestion:
Update to version 2.3.1
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CVSS v4
Base Score:
5.3
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
4.3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
LOW
CVSS v2
Base Score:
4
Access Vector
NETWORK
Access Complexity
LOW
Authentication
SINGLE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
Weakness Type (CWE)
Improper Input Validation
EPSS
Base Score:
0.23