Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41884Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
Medium 4.8
In plain English
A medium-severity security flaw in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 31% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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 packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.8.4 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow | 2.10.1 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3208 |
| PyPI | tensorflow | 2.9.3 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-cpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3345 |
| PyPI | tensorflow-cpu | 2.8.4 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-gpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-1013 |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-gpu | 2.8.4 | GHSA-jq6x-99hj-q636 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.10.0, < 2.10.1>= 2.9.0, < 2.9.3< 2.8.4 |
Weakness: CWE-670 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H