CVE-2020-15199
September 25, 2020
In Tensorflow before version 2.3.1, the "RaggedCountSparseOutput" does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the "splits" tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since "BatchedMap" is equivalent to a vector, it needs to have at least one element to not be "nullptr". If user passes a "splits" tensor that is empty or has exactly one element, we get a "SIGABRT" signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Affected Packages
tensorflow-cpu (PYTHON):
Affected version(s) =2.3.0 <2.3.1Fix Suggestion:
Update to version 2.3.1tensorflow-gpu (PYTHON):
Affected version(s) =2.3.0 <2.3.1Fix Suggestion:
Update to version 2.3.1tensorflow (PYTHON):
Affected version(s) =2.3.0 <2.3.1Fix Suggestion:
Update to version 2.3.1Additional Notes
The description of this vulnerability differs from MITRE.
Related ResourcesĀ (8)
Do you need more information?
Contact UsCVSS v4
Base Score:
8.2
Attack Vector
NETWORK
Attack Complexity
HIGH
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
5.9
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
HIGH
CVSS v2
Base Score:
4.3
Access Vector
NETWORK
Access Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
Weakness Type (CWE)
Improper Input Validation
EPSS
Base Score:
0.24