CVE-2022-29204
published 2022-05-20CVE-2022-29204: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of…
PriorityP422medium5.5CVSS 3.1
AVLACLPRLUINSUCNINAH
EPSS
0.35%
26.8th percentile
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, 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. The code assumes `num_segments` is a positive scalar but there is no validation. 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. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Affected
13 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | — | — | |
| tensorflow | — | — | |
| tensorflow | — | — | |
| tensorflow | >= 1.15.0 < 2.6.4 | 2.6.4 | |
| tensorflow | >= 2.7.0 < 2.7.2 | 2.7.2 | |
| intel | optimization_for_tensorflow | >= 0 < 2.6.4 | 2.6.4 |
| intel | optimization_for_tensorflow | >= 2.7.0 < 2.7.2 | 2.7.2 |
| intel | optimization_for_tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 |
| tensorflow | tensorflow | < 2.6.4 | 2.6.4 |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
CVSS provenance
nvdv3.15.5MEDIUMCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
nvdv2.02.1LOWAV:L/AC:L/Au:N/C:N/I:N/A:P
vendor_debian5.5LOW
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GHSA
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
ghsa·2022-05-24
CVE-2022-29204 [MEDIUM] CWE-191 Missing validation causes denial of service via `Conv3DBackpropFilterV2`
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
### Impact
The implementation of [`tf.raw_ops.UnsortedSegmentJoin`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L148) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:
```python
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:
```cc
const Tensor& num_segments_tensor = context->input(2);
auto num_segments = num_segments_tensor.scalar()();
// ...
Tensor* output_tensor = nullptr;
TensorShape o
OSV
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
osv·2022-05-24
CVE-2022-29204 [MEDIUM] Missing validation causes denial of service via `Conv3DBackpropFilterV2`
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
### Impact
The implementation of [`tf.raw_ops.UnsortedSegmentJoin`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L148) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:
```python
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:
```cc
const Tensor& num_segments_tensor = context->input(2);
auto num_segments = num_segments_tensor.scalar()();
// ...
Tensor* output_tensor = nullptr;
TensorShape o
Debian
CVE-2022-29204: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
vendor_debian·2022·CVSS 5.5
CVE-2022-29204 [MEDIUM] CVE-2022-29204: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, 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. The code assumes `num_segments` is a positive scalar but there is no validation. 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. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Scope: local
forky: resolved
sid: resolved
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L14https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.mdhttps://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx9q-2mx4-m4pghttps://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L14https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.mdhttps://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx9q-2mx4-m4pg
2022-05-20
Published