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
31.3%
The implementation of tf.raw_ops.UnsortedSegmentJoin
does not fully validate the input arguments. This results in a CHECK
-failure which can be used to trigger a denial of service attack:
import tensorflow as tf
tf.strings.unsorted_segment_join(
inputs=['123'],
segment_ids=[0],
num_segments=-1)
The code assumes num_segments
is a positive scalar but there is no validation:
const Tensor& num_segments_tensor = context->input(2);
auto num_segments = num_segments_tensor.scalar<NUM_SEGMENTS_TYPE>()();
// ...
Tensor* output_tensor = nullptr;
TensorShape output_shape =
GetOutputShape(input_shape, segment_id_shape, num_segments);
Since this value is used to allocate the output tensor, a negative value would result in a CHECK
-failure (assertion failure), as per TFSA-2021-198.
We have patched the issue in GitHub commit 84563f265f28b3c36a15335c8b005d405260e943 and GitHub commit 20cb18724b0bf6c09071a3f53434c4eec53cc147.
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 externally via a GitHub issue.
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-hx9q-2mx4-m4pg
github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L14
github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147
github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943
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-hx9q-2mx4-m4pg
nvd.nist.gov/vuln/detail/CVE-2022-29204
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
31.3%