{"id":10676,"date":"2026-02-15T10:03:36","date_gmt":"2026-02-15T10:03:36","guid":{"rendered":"https:\/\/serisec.com\/index.php\/2026\/02\/15\/pentestagent-ai-penetration-testing-tool-with-prebuilt-attack-playbooks-and-hexstrike-integration\/"},"modified":"2026-02-15T10:03:36","modified_gmt":"2026-02-15T10:03:36","slug":"pentestagent-ai-penetration-testing-tool-with-prebuilt-attack-playbooks-and-hexstrike-integration","status":"publish","type":"post","link":"https:\/\/serisec.com\/index.php\/2026\/02\/15\/pentestagent-ai-penetration-testing-tool-with-prebuilt-attack-playbooks-and-hexstrike-integration\/","title":{"rendered":"PentestAgent \u2013 AI Penetration Testing Tool With Prebuilt Attack Playbooks and HexStrike Integration"},"content":{"rendered":"

PentestAgent \u2013 AI Penetration Testing Tool With Prebuilt Attack Playbooks and HexStrike Integration
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PentestAgent, an open-source AI agent framework from developer Masic (GH05TCREW), has introduced enhanced capabilities, including prebuilt attack playbooks and seamless HexStrike integration<\/a>.<\/p>\n

Released on GitHub by a researcher with the alias GH05TCREW, this tool leverages large language models (LLMs) like Claude Sonnet or GPT-5 via LiteLLM to conduct sophisticated black-box security assessments.<\/p>\n

PentestAgent operates through a terminal user interface (TUI), offering modes for assisted chats, autonomous agents, and multi-agent crews, making it accessible for pentesters seeking AI augmentation without sacrificing control. Legal use is emphasized: only test authorized systems, as unauthorized access violates laws.<\/p>\n

Core Features and Playbooks<\/strong><\/h2>\n

PentestAgent comes with its structured attack playbooks, predefined workflows for web app testing like THP3-style assessments. Users launch them via CLI: pentestagent run -t example.com --playbook thp3_web<\/code>.<\/p>\n

These playbooks guide the AI through reconnaissance, vulnerability scanning, and exploitation phases, injecting domain-specific knowledge from a Retrieval-Augmented Generation (RAG) system.<\/p>\n

Notes captured during sessions categorized as credentials, vulnerabilities, findings, or artifacts persist in loot\/notes.json<\/code> and fuel a \u201cshadow graph\u201d in Crew mode, where an orchestrator spawns specialized workers for strategic insights.<\/p>\n

The tool supports three operational modes, summarized below:<\/p>\n

\n\n\n\n\n\n\n\n
Mode<\/th>\nCommand<\/th>\nDescription<\/th>\n<\/tr>\n<\/thead>\n
Assist<\/td>\n(default)<\/td>\nInteractive chat; user directs flow.<\/td>\n<\/tr>\n
Agent<\/td>\n\/agent <task><\/td>\nAutonomous single-task execution.<\/td>\n<\/tr>\n
Crew<\/td>\n\/crew <task><\/td>\nMulti-agent orchestration.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Built-in tools include a terminal (for nmap<\/a>, sqlmap), a browser (via Playwright), notes, and web_search (Tavily API required). TUI commands like \/target <host><\/code>, \/tools<\/code>, \/report<\/code>, and Esc-to-stop provide intuitive control, with memory usage visible via \/memory<\/code>.<\/p>\n

A standout update is HexStrike integration<\/a>, vendored in third_party\/hexstrike<\/code> from GitHub<\/a>. This MCP (Model Context Protocol)<\/a> framework exposes advanced pentesting tools\u2014scoring, workflows\u2014via mcp_servers.json<\/code>. Manually install via scripts\/install_hexstrike_deps.sh<\/code>, then add configs like pentestagent mcp add nmap \"npx\" \"-y\" \"gc-nmap-mcp\"<\/code>. CLI management (pentestagent tools list<\/code>, mcp test<\/code>) ensures extensibility. Recent TUI fixes improve stability for long-running tasks.<\/p>\n

Follow us on Google News<\/a>, LinkedIn<\/a>, and X<\/a> for daily cybersecurity updates. Contact us<\/a> to feature your stories.<\/strong><\/p>\n

The post PentestAgent \u2013 AI Penetration Testing Tool With Prebuilt Attack Playbooks and HexStrike Integration<\/a> appeared first on Cyber Security News<\/a>.<\/p>\n<\/div>\n

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\n Guru Baran
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PentestAgent \u2013 AI Penetration Testing Tool With Prebuilt Attack Playbooks and HexStrike Integration PentestAgent, an open-source AI agent framework from developer Masic (GH05TCREW), has introduced enhanced capabilities, including prebuilt attack playbooks and seamless HexStrike integration. Released on GitHub by a researcher with the alias GH05TCREW, this tool leverages large language models (LLMs) like Claude Sonnet […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[129,63,1709],"tags":[130],"class_list":["post-10676","post","type-post","status-publish","format-standard","hentry","category-cyber-security","category-cyber-security-news","category-cyberpedia","tag-cyber-security-news"],"_links":{"self":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/10676"}],"collection":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/comments?post=10676"}],"version-history":[{"count":0,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/10676\/revisions"}],"wp:attachment":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/media?parent=10676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/categories?post=10676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/tags?post=10676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}