CVE-2021-41196
published 2021-11-05CVE-2021-41196: TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0…
PriorityP420medium5.5CVSS 3.1
AVLACLPRLUINSUCNINAH
EPSS
0.23%
13.9th percentile
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Affected
12 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | < 2.4.4 | 2.4.4 | |
| tensorflow | >= 2.5.0 < 2.5.2 | 2.5.2 | |
| tensorflow | >= 2.6.0 < 2.6.1 | 2.6.1 | |
| intel | optimization_for_tensorflow | >= 0 < 2.4.4 | 2.4.4 |
| intel | optimization_for_tensorflow | >= 0 < 12b1ff82b3f26ff8de17e58703231d5a02ef1b8b | 12b1ff82b3f26ff8de17e58703231d5a02ef1b8b |
| intel | optimization_for_tensorflow | >= 2.5.0 < 2.5.2 | 2.5.2 |
| intel | optimization_for_tensorflow | >= 2.6.0 < 2.6.1 | 2.6.1 |
| intel | optimization_for_tensorflow | >= 2.7.0rc0 < 2.7.0 | 2.7.0 |
| tensorflow | tensorflow | < 2.4.4 | 2.4.4 |
| 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
Crash in `max_pool3d` when size argument is 0 or negative
ghsa·2021-11-10
CVE-2021-41196 [MEDIUM] CWE-191 Crash in `max_pool3d` when size argument is 0 or negative
Crash in `max_pool3d` when size argument is 0 or negative
### Impact
The Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative:
```python
import tensorflow as tf
pool_size = [2, 2, 0]
layer = tf.keras.layers.MaxPooling3D(strides=1, pool_size=pool_size)
input_tensor = tf.random.uniform([3, 4, 10, 11, 12], dtype=tf.float32)
res = layer(input_tensor)
```
This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive.
### Patches
We have patched the issue in GitHub commit [12b1ff82b3f26ff8de17e58703231d5a02ef1b8b](https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b) (merging [#51975](https://github.com/tensorflow/tensorf
OSV
Crash in `max_pool3d` when size argument is 0 or negative
osv·2021-11-10
CVE-2021-41196 [MEDIUM] Crash in `max_pool3d` when size argument is 0 or negative
Crash in `max_pool3d` when size argument is 0 or negative
### Impact
The Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative:
```python
import tensorflow as tf
pool_size = [2, 2, 0]
layer = tf.keras.layers.MaxPooling3D(strides=1, pool_size=pool_size)
input_tensor = tf.random.uniform([3, 4, 10, 11, 12], dtype=tf.float32)
res = layer(input_tensor)
```
This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive.
### Patches
We have patched the issue in GitHub commit [12b1ff82b3f26ff8de17e58703231d5a02ef1b8b](https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b) (merging [#51975](https://github.com/tensorflow/tensorf
OSV
CVE-2021-41196: TensorFlow is an open source platform for machine learning
osv·2021-11-05
CVE-2021-41196 CVE-2021-41196: TensorFlow is an open source platform for machine learning
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Debian
CVE-2021-41196: tensorflow - TensorFlow is an open source platform for machine learning. In affected versions...
vendor_debian·2021·CVSS 5.5
CVE-2021-41196 [MEDIUM] CVE-2021-41196: tensorflow - TensorFlow is an open source platform for machine learning. In affected versions...
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Scope: local
forky: resolved
sid: resolved
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8bhttps://github.com/tensorflow/tensorflow/issues/51936https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8bhttps://github.com/tensorflow/tensorflow/issues/51936https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8
2021-11-05
Published