Vulnerability · Published Nov 18, 2022 · Assigned by GitHub_M
CVE-2022-41895`MirrorPadGrad` heap out of bounds read in Tensorflow
Medium 4.8
In plain English
A medium-severity out-of-bounds read 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. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. 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-gq2j-cr96-gvqx |
| PyPI | tensorflow | 2.10.1 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3192 |
| PyPI | tensorflow | 2.9.3 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow-cpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-3332 |
| PyPI | tensorflow-cpu | 2.8.4 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow-cpu | 2.9.3 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow-cpu | 2.10.1 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow-gpu | 2.10.1 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow-gpu | 2.10.1, 2.8.4, 2.9.3 | PYSEC-2026-1000 |
| PyPI | tensorflow-gpu | 2.9.3 | GHSA-gq2j-cr96-gvqx |
| PyPI | tensorflow-gpu | 2.8.4 | GHSA-gq2j-cr96-gvqx |
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-125 · Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H