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CVE-2022-41884
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
Medium4.8EPSS 0.37%
- Published
- Updated
- Reserved
- Assigned by
- GitHub_M
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.
Scores
| Scored by | CVSS | Score | Vector |
|---|---|---|---|
| GitHub_MCNA (assigner) | 3.1 | Medium4.8 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |
| NVDNVD · Modified | 3.1 | High7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
- EPSS (exploitation in 30 days)
- 0.37% · top 69% of all CVEs (6 Nov 2026)
- CISA SSVC
- Exploitation: poc · Automatable: no · Technical impact: partial
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The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 4.8.
Weakness
Affected products
- affected >= 2.10.0, < 2.10.1
- affected >= 2.9.0, < 2.9.3
- affected < 2.8.4
Affected packages
From reviewed advisories of the GitHub Advisory Database.
- PyPItensorflowGHSA-jq6x-99hj-q636 (opens in a new tab)
- PyPItensorflow-cpuGHSA-jq6x-99hj-q636 (opens in a new tab)
- PyPItensorflow-gpuGHSA-jq6x-99hj-q636 (opens in a new tab)
References (2)
Sources
The same CVE in the primary databases and aggregators, to check against.
- CVE.org record (opens in a new tab)
- CVE List JSON (GitHub) (opens in a new tab)
- NVD (opens in a new tab)
- FIRST EPSS (opens in a new tab)
- OSV.dev (opens in a new tab)
- GitHub Advisory GHSA-jq6x-99hj-q636 (opens in a new tab)
- CIRCL Vulnerability-Lookup (opens in a new tab)
Badge for a README or a ticket
[](https://trackcve.app/cve/CVE-2022-41884)Record last updated .