CVE-2022-41884
published 2022-11-18CVE-2022-41884: TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a…
PriorityP335high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.33%
25.2th percentile
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Affected
13 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | < 2.8.4 | 2.8.4 | |
| tensorflow | — | — | |
| tensorflow | >= 2.9.0 < 2.9.3 | 2.9.3 | |
| intel | optimization_for_tensorflow | >= 0 < 2.8.4 | 2.8.4 |
| intel | optimization_for_tensorflow | >= 2.10.0 < 2.10.1 | 2.10.1 |
| intel | optimization_for_tensorflow | >= 2.9.0 < 2.9.3 | 2.9.3 |
| msrc | cbl2_tensorflow_2.11.0-1_on_cbl_mariner_2.0 | — | — |
| msrc | cbl_mariner_2.0_arm | — | — |
| msrc | cbl_mariner_2.0_x64 | — | — |
| tensorflow | tensorflow | < 2.8.4 | 2.8.4 |
| 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_msrc7.5HIGH
vendor_debian4.8LOW
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Microsoft
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
vendor_msrc·2022-11-08·CVSS 7.5
CVE-2022-41884 [MEDIUM] CWE-670 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
FAQ: Is Azure Linux the only Microsoft product that includes this open-source library and is therefore potentially affected by this vulnerability?
One of the main benefits to our customers who choose to use the Azure Linux distro is the commitment to keep it up to date with the most recent and most secure versions of the open source libraries with which the distro is composed. Microsoft is committed to transparency in this work which is why we began publishing CSAF/VEX in October 2025. See this blog post for more information. If impact to additional products is identified, we will update the CVE to reflect this.
Mariner: Mariner
GitHub_M: GitHub_M
Customer Action Required: Yes
Remediation: CBL-Mariner Rele
Debian
CVE-2022-41884: tensorflow - TensorFlow is an open source platform for machine learning. If a numpy array is ...
vendor_debian·2022·CVSS 4.8
CVE-2022-41884 [MEDIUM] CVE-2022-41884: tensorflow - TensorFlow is an open source platform for machine learning. If a numpy array is ...
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Scope: local
forky: resolved
sid: resolved
OSV
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
osv·2022-11-21
CVE-2022-41884 [MEDIUM] Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
### Impact
If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:
```python
np.ones((0, 2**31, 2**31))
```
An example of a proof of concept:
```python
import numpy as np
import tensorflow as tf
input_val = tf.constant([1])
shape_val = np.array([i for i in range(21)])
tf.broadcast_to(input=input_val,shape=shape_val)
```
The return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked.
### Patches
We have patched the issue in GitHub commit [2b56169c16e375c521a3bc8ea658811cc0793784](https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784).
The
GHSA
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
ghsa·2022-11-21
CVE-2022-41884 [MEDIUM] CWE-670 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
### Impact
If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:
```python
np.ones((0, 2**31, 2**31))
```
An example of a proof of concept:
```python
import numpy as np
import tensorflow as tf
input_val = tf.constant([1])
shape_val = np.array([i for i in range(21)])
tf.broadcast_to(input=input_val,shape=shape_val)
```
The return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked.
### Patches
We have patched the issue in GitHub commit [2b56169c16e375c521a3bc8ea658811cc0793784](https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784).
The
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636
2022-11-18
Published