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 products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| tensorflow | tensorflow | >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4 | — |
Fixed in Linux distributions
Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.
Azure Linux
| Release | Package | Fixed in | Advisory |
|---|---|---|---|
| Azure Linux 2 (CBL-Mariner) | tensorflow | 2.11.0-1 | — |
Affected packages
| Ecosystem | Package | Affected | Fixed | Record |
|---|---|---|---|---|
| PyPI | tensorflow | < 2.8.4 | 2.8.4 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow | >= 2.9.0, < 2.9.3 | 2.9.3 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow | >= 2.10.0, < 2.10.1 | 2.10.1 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow | < 2.8.4 · >= 2.9.0, < 2.9.3 · >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 | PYSEC-2026-3208 |
| PyPI | tensorflow-cpu | < 2.8.4 | 2.8.4 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-cpu | >= 2.9.0, < 2.9.3 | 2.9.3 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-cpu | >= 2.10.0, < 2.10.1 | 2.10.1 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-cpu | < 2.8.4 · >= 2.9.0, < 2.9.3 · >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 | PYSEC-2026-3345 |
| PyPI | tensorflow-gpu | < 2.8.4 | 2.8.4 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-gpu | >= 2.9.0, < 2.9.3 | 2.9.3 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-gpu | >= 2.10.0, < 2.10.1 | 2.10.1 | GHSA-jq6x-99hj-q636 |
| PyPI | tensorflow-gpu | < 2.8.4 · >= 2.9.0, < 2.9.3 · >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 | PYSEC-2026-1013 |