GHSA-rcf8-g8jv-vg6p: tensorflow (CVE-2023-25669)

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

CVSS 7.5 HighEPSS 0.0039 · 33rd percentile

Published by the GitHub Advisory Database at 24 Mar 2023, 21:56 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

Package	Ecosystem	Affected	Fixed in
tensorflow	PyPI	<2.11.1	2.11.1
tensorflow-cpu	PyPI	<2.11.1	2.11.1
tensorflow-gpu	PyPI	<2.11.1	2.11.1

Identifiers

GHSA-rcf8-g8jv-vg6p · BIT-tensorflow-2023-25669 · CVE-2023-25669 · PYSEC-2026-1964 · PYSEC-2026-3236 · PYSEC-2026-3366

Weakness (CWE)

CWE-697

Machine-written summary

Summary written by Claude Haiku from the source advisory. Not reviewed by a person.

TensorFlow, tensorflow-cpu and tensorflow-gpu versions before 2.11.1 are affected by a floating point exception in AvgPoolGrad when the stride or window size is not positive. The source does not describe what an attacker must do to trigger it or what the impact beyond the crash is. Upgrade to version 2.11.1 or later.

Written 5 Nov 2026.

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

Score	Rating	CVSS	Vector	Source
7.5	High	3.1	CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H	CNA (GitHub_M)

CISA KEV Not listed.
EPSS 0.0039, the 33rd percentile, on 5 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

31 Oct 2026, 14:36 UTC First seen by agentprime
31 Oct 2026, 14:36 UTC Confirmed by OSV

Sources

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.