CVE-2022-41884
- Source
- https://nvd.nist.gov/vuln/detail/CVE-2022-41884
- Import Source
- https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2022-41884.json
- JSON Data
- https://api.test.osv.dev/v1/vulns/CVE-2022-41884
- Aliases
- Published
- 2022-11-18T00:00:00Z
- Modified
- 2025-10-15T14:14:24.159408Z
- Severity
-
- 4.8 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H CVSS Calculator
- Summary
- Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
- Details
-
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.
- References
Affected packages
Git / github.com/tensorflow/tensorflow
Affected ranges
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixed
Affected versions
0.*
0.12.0-rc0
0.12.0-rc1
0.12.1
0.5.0
0.6.0
v0.*
v0.10.0
v0.10.0rc0
v0.11.0
v0.11.0rc0
v0.11.0rc1
v0.11.0rc2
v0.12.0
v0.7.0
v0.7.1
v0.8.0rc0
v0.9.0
v0.9.0rc0
v1.*
v1.0.0
v1.0.0-alpha
v1.0.0-rc0
v1.0.0-rc1
v1.0.0-rc2
v1.1.0
v1.1.0-rc0
v1.1.0-rc1
v1.1.0-rc2
v1.12.0
v1.12.0-rc0
v1.12.0-rc1
v1.12.0-rc2
v1.12.1
v1.2.0
v1.2.0-rc0
v1.2.0-rc1
v1.2.0-rc2
v1.3.0-rc0
v1.3.0-rc1
v1.5.0
v1.5.0-rc0
v1.5.0-rc1
v1.6.0
v1.6.0-rc0
v1.6.0-rc1
v1.7.0
v1.7.0-rc0
v1.7.0-rc1
v1.8.0
v1.8.0-rc0
v1.8.0-rc1
v1.9.0
v1.9.0-rc0
v1.9.0-rc1
v1.9.0-rc2
v2.*
v2.10.0
v2.8.0
v2.8.0-rc0
v2.8.0-rc1
v2.8.1
v2.8.2
v2.8.3
v2.9.0
v2.9.1
v2.9.2