Browsing AI Chatbots Abused as Malware Relays

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📲Read original on Digital Trends

💡Web-browsing AI relays malware—harden your agent security now (Check Point findings).

⚡ 30-Second TL;DR

What changed

AI chatbots with web browsing relay malware commands

Why it matters

Elevates risks for production AI agents with internet access, demanding proactive security hardening in deployments.

What to do next

Enable anomaly monitoring on web-browsing APIs in your AI agents like LangChain tools.

Who should care:Enterprise & Security Teams

🧠 Deep Insight

Web-grounded analysis with 10 cited sources.

🔑 Key Takeaways

•Check Point Research demonstrated a proof-of-concept (PoC) where malware uses WebView2 on Windows 11 to interact with AI chatbots like Grok and Copilot, prompting them to fetch attacker-controlled URLs and relay embedded commands[1][2][3][5].
•This 'AI as a C2 proxy' technique creates bidirectional communication channels that mimic normal web traffic to trusted AI domains, evading traditional security controls without needing API keys or accounts[1][2][3][6].
•Attackers can bypass AI platform safeguards by encrypting commands into high-entropy blobs, and use AI for advanced functions like sandbox detection, victim prioritization, and dynamic decision-making[2][5].

🛠️ Technical Deep Dive

• Malware embeds or delivers WebView2 component to open a web view pointing to Grok (x.ai) or Copilot interfaces, submits prompts instructing AI to visit attacker-controlled webpages[1][2][3][5]. • Attacker webpage responds with changeable embedded instructions (e.g., base64-encoded commands), which AI summarizes or extracts in its chat output[1][2][3]. • Malware parses AI response to execute commands and exfiltrate data, blending into permitted HTTPS traffic to AI domains[2][3][6]. • No authentication required; anonymous access allows evasion of account blocks or API revocations; encryption defeats content safeguards[2][5]. • Potential extensions: AI analyzes host data (software, geography) for sandbox evasion, PII scoring, or lateral movement decisions[5].

🔮 Future ImplicationsAI analysis grounded in cited sources

This technique could accelerate AI-driven attacks by turning chatbots into dynamic C2 relays and remote 'brains' for malware, blending malicious traffic with legitimate enterprise AI use and challenging detection amid rapid AI adoption. Defenders face pressure to monitor AI interactions closely, potentially slowing productivity tools, while attackers gain stealthier, adaptive operations without novel capabilities but leveraging trusted infrastructure.

⏳ Timeline

2026-02

Check Point Research publishes 'AI in the Middle' report demonstrating PoC of AI chatbots (Grok, Copilot) as C2 proxies via web browsing

📎 Sources (10)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

Check Point Research reveals browsing-enabled AI chatbots can function as malware relays by routing commands and data through innocuous web traffic. Microsoft advises defense-in-depth measures. Defenders must implement stricter policies, logging, and anomaly detection.