pentestagent and Phantom
These two AI-powered penetration testing frameworks are competitors, as both aim to provide autonomous multi-agent solutions for black-box security testing, making them redundant to use together for the same task.
About pentestagent
GH05TCREW/pentestagent
PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.
Built on LiteLLM for multi-model LLM support, PentestAgent features a hierarchical agent architecture where instances can spawn isolated child agents via stdio transport (`spawn_mcp_agent`), enabling parallel task delegation without external orchestration. It integrates MCP (Model Context Protocol) servers with automatic RAG-based tool optimization for large tool sets, includes prebuilt attack playbooks for structured assessments, and offers Docker isolation with both minimal and Kali Linux images containing pentesting tools like metasploit and sqlmap.
About Phantom
Usta0x001/Phantom
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing
Leverages a ReAct (Reason–Act) loop to connect LLMs with 53 security tools in an isolated Docker sandbox, automatically chaining multi-step exploits and verifying findings with working proof-of-concept scripts. Integrates with LiteLLM for LLM abstraction, enriches all vulnerabilities with MITRE ATT&CK mappings and compliance tags (OWASP Top 10, PCI DSS, NIST 800-53), and maintains cross-scan memory to reduce false positives and adapt to target responses in real time.
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