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AII-1001-05619
Well documentedThree or more independent publishers report the core facts.

AI agents leak sensitive data via messaging app link previews

Security researchers at PromptArmor have documented a zero-click prompt injection vulnerability that allows attackers to trick AI agents in messaging platforms into leaking sensitive data through automatic link preview features. The attack exploits trusted system processes in apps like Microsoft Teams, Slack, Discord, Telegram, and Apple to exfiltrate information such as API keys and logs.

9 February 2026 Β· Security and cyberattacks
9 February 2026
AII-1001-056194 sources ↓
Quick facts
Category
Security and cyberattacks
Country
United States
Source
promptarmor.com
Date
9 February 2026
Drafted by
Raidu Incident Detection

What happened

Security researchers at PromptArmor demonstrated a zero-click prompt injection attack that tricks AI agents integrated into messaging platforms into exfiltrating sensitive data through automatic link preview features.

The attack works by embedding malicious instructions within data that the AI processes, causing the agent to generate a URL containing sensitive information such as API keys or logs. When the AI posts this link in chat, the messaging app automatically fetches the URL to generate a preview, delivering the sensitive data to an attacker-controlled server.

Reported impact

The vulnerability is described as systemic rather than isolated to a single bot, affecting configurations including Microsoft Teams running Copilot Studio and Slack utilizing specific bots.

Index analysis

The attack exploits the implicit trust messaging platforms place in URLs generated within their ecosystem. Because the link preview mechanism functions as a trusted system process, it bypasses standard user-level security checks.

Governance controls

PromptArmor suggests the responsibility for addressing the vulnerability lies with organizations deploying AI agents with increasing autonomy and access to sensitive data stores.

Classification

Category
Security and cyberattacks
Industry
Digital security
Country
United States
Harm status
Potential harm
Intent
Intentional
Timing
Post-deployment
Harmed
Business
Failure modes
Prompt injection, Data leak
AI systems
Copilot Studio

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

promptarmor.com
Data Exfil from Agents in Messaging Apps
9 February 2026
TheRegister.com
AI agents can spill secrets via malicious link previews
10 February 2026
WebProNews
The Silent Leak: How URL Previews in LLM-Powered Tools Are Quietly Exfiltrating Sensitive Data
10 February 2026
TechNadu
AI Agents Leak Data via Messaging App Link Previews
11 February 2026