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
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
39.0%
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.
import tensorflow as tf
tf.math.segment_max(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_min(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_mean(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_sum(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
tf.math.segment_prod(data=np.ones((1,10,1)), segment_ids=[1676240524292489355])
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
.
We have patched the issue in GitHub commit e9c81c1e1a9cd8dd31f4e83676cab61b60658429 (merging #51733).
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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported externally via a GitHub issue.
CPE | Name | Operator | Version |
---|---|---|---|
tensorflow-gpu | lt | 2.4.4 | |
tensorflow-gpu | lt | 2.5.2 | |
tensorflow-gpu | lt | 2.6.1 | |
tensorflow-cpu | lt | 2.4.4 | |
tensorflow-cpu | lt | 2.5.2 | |
tensorflow-cpu | lt | 2.6.1 | |
tensorflow | lt | 2.4.4 | |
tensorflow | lt | 2.5.2 | |
tensorflow | lt | 2.6.1 |
github.com/advisories/GHSA-cq76-mxrc-vchh
github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429
github.com/tensorflow/tensorflow/issues/46888
github.com/tensorflow/tensorflow/pull/51733
github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh
nvd.nist.gov/vuln/detail/CVE-2021-41195
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
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
39.0%