6.5 Medium
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
4 Medium
CVSS2
Access Vector
NETWORK
Access 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
0.002 Low
EPSS
Percentile
54.8%
The implementations of Sparse*Cwise*
ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or CHECK
-fails when building new TensorShape
objects (so, assert failures based denial of service):
import tensorflow as tf
import numpy as np
tf.raw_ops.SparseDenseCwiseDiv(
sp_indices=np.array([[9]]),
sp_values=np.array([5]),
sp_shape=np.array([92233720368., 92233720368]),
dense=np.array([4]))
We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape
with user-provided dimensions. The latter is an instance of TFSA-2021-198 (CVE-2021-41197) and is easily fixed by replacing a call to TensorShape
constructor with a call to BuildTensorShape
static helper factory.
We have patched the issue in GitHub commits 1b54cadd19391b60b6fcccd8d076426f7221d5e8 and e952a89b7026b98fe8cbe626514a93ed68b7c510.
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.
CPE | Name | Operator | Version |
---|---|---|---|
tensorflow-gpu | eq | 2.7.0 | |
tensorflow-gpu | lt | 2.6.3 | |
tensorflow-gpu | lt | 2.5.3 | |
tensorflow-cpu | eq | 2.7.0 | |
tensorflow-cpu | lt | 2.6.3 | |
tensorflow-cpu | lt | 2.5.3 | |
tensorflow | eq | 2.7.0 | |
tensorflow | lt | 2.6.3 | |
tensorflow | lt | 2.5.3 |
github.com/advisories/GHSA-rrx2-r989-2c43
github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc
github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
github.com/tensorflow/tensorflow/commit/1b54cadd19391b60b6fcccd8d076426f7221d5e8
github.com/tensorflow/tensorflow/commit/e952a89b7026b98fe8cbe626514a93ed68b7c510
github.com/tensorflow/tensorflow/security/advisories/GHSA-rrx2-r989-2c43
nvd.nist.gov/vuln/detail/CVE-2022-23567
6.5 Medium
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
4 Medium
CVSS2
Access Vector
NETWORK
Access 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
0.002 Low
EPSS
Percentile
54.8%