CVE-2026-108431

Received Received - Intake

Microsoft Office Word Stack-Based Buffer Overflow

Publication date: 2026-10-15

Last updated on: 2026-10-15

Assigner: Microsoft Corporation

Description

Stack-based buffer overflow in Microsoft Office Word allows an unauthorized attacker to execute code over a network.

CVSS Scores

EPSS Scores

Probability:
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Meta Information

Published

2026-10-15

Last Modified

2026-10-15

Generated

2026-10-16

AI Q&A

2026-10-16

EPSS Evaluated

N/A

NVD

CVE-2026-108431

Affected Vendors & Products

Vendor	Product	Version / Range
Microsoft	Microsoft	365 Apps for Enterprise 16.0.1
Microsoft	Microsoft	Office 365 for Mac 1.0.0
Microsoft	Microsoft	Office LTSC 2021 16.0.1
Microsoft	Microsoft	Office LTSC 2024 16.0.0
Microsoft	Microsoft	Office LTSC for Mac 2021 16.0.1
Microsoft	Microsoft	Office LTSC for Mac 2024 16.0.0

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-121	A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function).

Attack-Flow Graph

Executive Summary

This is a stack-based buffer overflow vulnerability in Microsoft Office Word. It allows an unauthorized attacker to execute arbitrary code over a network by exploiting a flaw in how Word handles certain data.

Impact Analysis

An attacker could exploit this to run malicious code on your system, potentially stealing data, installing malware, or taking control of your computer. It requires user interaction, such as opening a specially crafted document.

Compliance Impact

This vulnerability could lead to unauthorized data access or exfiltration, violating GDPR (data protection) and HIPAA (health data privacy). Organizations may face compliance penalties if exploited.

Mitigation Strategies

Apply the latest security updates from Microsoft for Office Word and related components. Disable macros from untrusted sources and restrict network access to Office applications until patches are applied.

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