CVE-2026-70331

Received Received - Intake

Microsoft Edge for iOS Spoofing via LLM Prompting

Publication date: 2026-08-28

Last updated on: 2026-08-28

Assigner: Microsoft Corporation

Description

Improper neutralization of input used for llm prompting in Microsoft Edge for iOS allows an unauthorized attacker to perform spoofing over a network.

CVSS Scores

EPSS Scores

Probability:
Percentile:

Meta Information

Published

2026-08-28

Last Modified

2026-08-28

Generated

2026-08-29

AI Q&A

2026-08-29

EPSS Evaluated

N/A

NVD

CVE-2026-70331

EUVD

EUVD-2026-67846

Affected Vendors & Products

Vendor	Product	Version / Range
microsoft	edge	*

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-UNKNOWN

Attack-Flow Graph

Executive Summary

This vulnerability involves improper handling of input used for LLM (Large Language Model) prompting in Microsoft Edge for iOS. An attacker can exploit this to perform spoofing attacks over a network, potentially deceiving users or systems by impersonating legitimate entities.

Impact Analysis

This vulnerability could allow an attacker to trick you into believing a fake website or message is legitimate. This might lead to phishing attacks, data theft, or unauthorized actions on your behalf if you interact with the spoofed content.

Mitigation Strategies

Update Microsoft Edge for iOS to the latest version to ensure the vulnerability is patched. Monitor network traffic for unusual spoofing attempts and restrict unauthorized input handling in LLM prompts.

Hi! I’m here to help you understand CVE-2026-70331. Ask me anything about the vulnerability, its impact, or mitigation strategies.

0/70