CVEvulnerability
CVE-2022-41884
7.5 HIGH
Official page ↗
- Status
- Modified
- Published
- 2022-11-18
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 4.8 MEDIUM — CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
- CVSS 3.1 ([email protected])
- 7.5 HIGH — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-670
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.
Affected configurations
• google tensorflow (< 2.8.4)
• google tensorflow (>= 2.9.0 < 2.9.3)
• google tensorflow 2.10.0
Related
Weakness · CWE (1)
- CWE-670 Always-Incorrect Control Flow Implementation weakness
References
- https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636 Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636 Exploit, Patch, Third Party Advisory