Indirect Prompt Injection: Hijacking Agentic Tool-Chains via Context Poisoning
Emerging research from Zscaler ThreatLabz, Microsoft, and Palo Alto Networks identifies a critical evolution in the threat landscape: Indirect Prompt Injection (IPI) targeting autonomous AI agents. Unlike direct injections, attackers utilize context poisoning to embed malicious instructions within web content using hidden HTML elements (CSS display:none) or SEO poisoning. These payloads hijack the "agentic tool-chain," specifically targeting Model Context Protocol (MCP) vulnerabilities to manipulate agentic autonomy. This enables unauthorized API executions, including fraudulent cryptocurrency transfers and the corruption of long-term agent memory, effectively bypassing human-in-the-loop controls and creating systemic risks for autonomous AI infrastructure.