CVSS2
Attack Vector
NETWORK
Attack Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:M/Au:N/C:N/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
60.0%
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.
Vendor | Product | Version | CPE |
---|---|---|---|
tensorflow | 2.3.0 | cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:* |
CVSS2
Attack Vector
NETWORK
Attack Complexity
MEDIUM
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:M/Au:N/C:N/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
60.0%