This research explores how LLM agents connected to web tools create new cybersecurity vulnerabilities that malicious actors can exploit.

• PII Collection Risk: Web-enabled LLMs can gather personal information across various sources
• Impersonation Attacks: These systems can convincingly mimic trusted entities
• Enhanced Phishing: LLMs create sophisticated, personalized spear-phishing campaigns
• Security Gap: Current safeguards primarily focus on content filtering, not agent-web interaction threats

This research matters because as LLMs increasingly gain web capabilities in commercial products, understanding these unique threat vectors becomes critical for developing effective security countermeasures.

When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs