CVE Tools

CVE-2023-25669

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

Published: Mar 24, 2023Updated: Nov 21, 2024 Sources: CVE List NVD GHSACWE-697

Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:NS:UC:NI:NA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:NIntegrity
None
A:HAvailability
High

Weaknesses

Affected Products

tensorflowoss-projectUSAI / ML
googlecommercialUSMobile Appsaka google inc, google llc
pypipackage-ecosystemOSS Libraries

Exploitability

Official Patch Available

References

and 1 more references View all →

Timeline

Published
Mar 24, 2023
Last Updated
Nov 21, 2024

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2023-25669 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows