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
5.7 Medium
AI Score
Confidence
High
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
0.001 Low
EPSS
Percentile
38.4%
TensorFlow is an open source platform for machine learning. In affected versions the implementation of tf.math.segment_*
operations results in a CHECK
-fail related abort (and denial of service) if a segment id in segment_ids
is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using AddDim
. However, if the number of elements in the tensor overflows an int64_t
value, AddDim
results in a CHECK
failure which provokes a std::abort
. Instead, code should use AddDimWithStatus
. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
CPE | Name | Operator | Version |
---|---|---|---|
tensorflow | ge | 2.6.0 | |
tensorflow | lt | 2.6.1 | |
tensorflow | ge | 2.5.0 | |
tensorflow | lt | 2.5.2 | |
tensorflow | lt | 2.4.4 |
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
5.7 Medium
AI Score
Confidence
High
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
0.001 Low
EPSS
Percentile
38.4%