GitHub Advisoryadvisory · PyPI
GHSA-xvwp-h6jv-7472 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
HIGH
Official page ↗
- Aliases
- CVE-2022-41900
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu, tensorflow-gpu
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
- Weaknesses
- CWE-125, CWE-787
- Reviewed
- 2022-11-21
Affected packages
• PyPI tensorflow: < 2.8.4 → fixed in 2.8.4
• PyPI tensorflow: >= 2.9.0, < 2.9.3 → fixed in 2.9.3
• PyPI tensorflow: >= 2.10.0, < 2.10.1 → fixed in 2.10.1
• PyPI tensorflow-cpu: < 2.8.4 → fixed in 2.8.4
• PyPI tensorflow-gpu: < 2.8.4 → fixed in 2.8.4
• PyPI tensorflow-cpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3
• PyPI tensorflow-gpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3
• PyPI tensorflow-cpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1
• PyPI tensorflow-gpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1
Description
Impact
An input `pooling_ratio` that is smaller than 1 will trigger a heap OOB in `tf.raw_ops.FractionalMaxPool` and `tf.raw_ops.FractionalAvgPool`.
Patches
We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48.
The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Related
Alias · CVE (1)
- CVE-2022-41900 TensorFlow is an open source platform for machine learning. vulnerability