Advisory record · GHSA-5w96-866f-6rm8

TensorFlow has Floating Point Exception in TFLite in conv kernel

CVSS 7.5 HighEPSS 0.0039 · 33rd percentile

Published by the GitHub Advisory Database at 24 Mar 2023, 21:53 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

PackageEcosystemAffectedFixed in
tensorflowPyPI<2.11.12.11.1
tensorflow-cpuPyPI<2.11.12.11.1
tensorflow-gpuPyPI<2.11.12.11.1
Identifiers
GHSA-5w96-866f-6rm8 · BIT-tensorflow-2023-27579 · CVE-2023-27579 · PYSEC-2026-3111 · PYSEC-2026-3279 · PYSEC-2026-954
Weakness (CWE)
CWE-697
Published
24 Mar 2023
Updated
10 Sept 2026

Machine-written summary

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

The TensorFlow packages tensorflow, tensorflow-cpu and tensorflow-gpu are affected in versions before 2.11.1. A floating point exception occurs in the TFLite convolution kernel when a model is constructed with the filter_input_channel parameter set below 1. The source does not describe the attacker's access requirements or the full impact. Upgrade to version 2.11.1 to fix the issue.

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

ScoreRatingCVSSVectorSource
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

  1. 31 Oct 2026, 14:37 UTC First seen by agentprime
  2. 31 Oct 2026, 14:37 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.