2.1 Low
CVSS2
Attack Vector
LOCAL
Attack 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
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
0.001 Low
EPSS
Percentile
32.8%
The implementation of tf.raw_ops.SpaceToBatchND
(in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow:
import tensorflow as tf
input = tf.constant(-3.5e+35, shape=[10,19,22], dtype=tf.float32)
block_shape = tf.constant(-1879048192, shape=[2], dtype=tf.int64)
paddings = tf.constant(0, shape=[2,2], dtype=tf.int32)
tf.raw_ops.SpaceToBatchND(input=input, block_shape=block_shape, paddings=paddings)
The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a CHECK
-failure (assertion failure), as in TFSA-2021-198.
We have patched the issue in GitHub commit acd56b8bcb72b163c834ae4f18469047b001fadf.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 by Neophytos Christou from Secure Systems Lab at Brown University.
CPE | Name | Operator | Version |
---|---|---|---|
tensorflow-gpu | lt | 2.8.1 | |
tensorflow-gpu | lt | 2.7.2 | |
tensorflow-gpu | lt | 2.6.4 | |
tensorflow-cpu | lt | 2.8.1 | |
tensorflow-cpu | lt | 2.7.2 | |
tensorflow-cpu | lt | 2.6.4 | |
tensorflow | lt | 2.8.1 | |
tensorflow | lt | 2.7.2 | |
tensorflow | lt | 2.6.4 |
github.com/advisories/GHSA-jjm6-4vf7-cjh4
github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadf
github.com/tensorflow/tensorflow/releases/tag/v2.6.4
github.com/tensorflow/tensorflow/releases/tag/v2.7.2
github.com/tensorflow/tensorflow/releases/tag/v2.8.1
github.com/tensorflow/tensorflow/releases/tag/v2.9.0
github.com/tensorflow/tensorflow/security/advisories/GHSA-jjm6-4vf7-cjh4
nvd.nist.gov/vuln/detail/CVE-2022-29203
2.1 Low
CVSS2
Attack Vector
LOCAL
Attack 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
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
0.001 Low
EPSS
Percentile
32.8%