Manus: Speed Without Security Controls
Manus is a powerful autonomous AI agent that can browse the web, write code, deploy applications, and execute complex multi-step tasks. But security researchers have found critical weaknesses: the agent is vulnerable to prompt injection from untrusted data, has a deploy_expose_port tool with no human-in-the-loop controls, and has data leakage vulnerabilities that allow adversaries to exfiltrate information to third-party servers.
The core problem is that Manus writes code to satisfy functional requirements, not to withstand misuse. It assumes requests arrive in the expected order and permissions are respected implicitly.
Defending Manus Deployments with 1-SEC
1-SEC addresses every Manus attack vector.
Prompt Injection from Untrusted Data
When Manus browses the web or processes user-provided documents, it ingests untrusted content that can carry injection payloads. 1-SEC's LLM Firewall scans all content entering the agent's context — including RAG context and embedded documents — with the same 65+ pattern library used for direct user input.
Unauthorized Port Exposure
Manus's deploy_expose_port tool can expose internal services to the internet without approval. 1-SEC's AI Agent Containment module flags this as a policy violation (network_scan, firewall_modify are blocked by default), and the Network Guardian detects newly opened ports and unexpected inbound connections.
Data Leakage to Third Parties
1-SEC's LLM Firewall output rules catch credentials, PII, and internal URLs before they leave the agent. The Network Guardian monitors outbound connections and flags traffic to unknown endpoints, especially when it follows a pattern consistent with data exfiltration.