Core Insights - The discovery of ZombieAgent, a zero-click indirect prompt injection vulnerability, poses significant risks to enterprises by enabling autonomous data exfiltration from OpenAI servers [1][13] - This vulnerability could lead to automated, worm-like attack campaigns within organizations, highlighting a critical structural weakness in AI platforms [4][6] Vulnerability Details - ZombieAgent allows attackers to implant malicious rules into an AI agent's long-term memory, enabling persistent data theft without re-engagement [2] - The attack can propagate through a single malicious email, potentially affecting multiple contacts within an organization [3] Attack Mechanism - Attackers can embed hidden instructions in everyday communications, which AI agents may interpret as legitimate commands, leading to unauthorized data access [4][5] - All malicious actions occur within OpenAI's cloud infrastructure, making detection difficult as traditional security tools may not capture these activities [5] Implications for Enterprises - Enterprises lack visibility into how AI agents process untrusted content, creating a dangerous blind spot that attackers can exploit [4] - The vulnerability underscores the need for enhanced security measures and awareness regarding the risks associated with AI agents [6][8] Company Information - Radware, a leader in application security and delivery solutions, is actively researching threats like ZombieAgent to provide insights to the cybersecurity community [8][9]

Core Insights - Radware has discovered a zero-click vulnerability named "ShadowLeak" affecting the ChatGPT Deep Research agent, allowing attackers to exfiltrate sensitive information without any user interaction [1][2][3] - This vulnerability represents a new class of attack on AI agents, which can bypass traditional security measures and operate covertly [2][4] Company Insights - Radware disclosed the vulnerability to OpenAI under responsible disclosure protocols, highlighting the importance of collaboration in cybersecurity [2][8] - The research emphasizes that enterprises adopting AI must not solely rely on built-in safeguards, as the integration of AI with sensitive data sources introduces new risks [4][8] - Radware's Security Research Center (RSRC) aims to provide insights into vulnerabilities and threats, ensuring that security professionals are informed about potential risks [7][10] Industry Insights - The discovery of ShadowLeak comes at a critical time for enterprise AI adoption, with ChatGPT reportedly having 5 million paying business users, indicating a significant potential exposure to such vulnerabilities [4] - The findings suggest that traditional security tools may not be sufficient to protect against emerging AI-driven attack vectors, necessitating a reevaluation of security strategies [4][8]