CVE-2022-41884
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
4.8
MEDIUM
CVSS 3.1
EPSS 0.15%
Description
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.
How to fix CVE-2022-41884
To remediate CVE-2022-41884, upgrade the affected package to a fixed version below.
- —upgrade to 2.8.4 or later
- —upgrade to 2.8.4 or later
- —upgrade to 2.8.4 or later
- —upgrade to 2.8.4 or later
Is CVE-2022-41884 being exploited?
Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.
Affected packages (4)
- from 0, < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1
- from 0, < 2.8.4
- from 0, < 2.8.4
- from 0, < 2.8.4
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM4.8 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |