Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41901`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow
Medium 4.8
In plain English
A medium-severity improper input validation in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 43% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. 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 | 2.9.3 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3185 |
| PyPI | tensorflow | 2.10.1 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow | 2.8.4 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow-cpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3328 |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow-cpu | 2.8.4 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow-gpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-997 |
| PyPI | tensorflow-gpu | 2.8.4 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-g9fm-r5mm-rf9f |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-g9fm-r5mm-rf9f |
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-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H