Hexstrike AI Pentest

HexStrike AI Pentest

Overview

HexStrike AI is a Model Context Protocol (MCP) based cybersecurity automation platform that integrates 150+ security tools with 12 AI agents. It works with Claude Desktop, VS Code, and Cursor as an MCP server, enabling AI-driven security testing through natural language commands.

Source: https://github.com/0x4m4/hexstrike-ai Architecture: MCP server with 150+ tool wrappers and 12 AI agent modules Integration: Claude Desktop, VS Code (Continue), Cursor, any MCP-compatible client License: Open source

When to Use

Trigger phrases:

• "hexstrike ai pentest"

• "Automated penetration testing with AI-driven tool selection"

• "CTF challenges requiring multi-tool orchestration"

• "Bug bounty reconnaissance and vulnerability scanning"

• Automated penetration testing with AI-driven tool selection

• CTF challenges requiring multi-tool orchestration

• Bug bounty reconnaissance and vulnerability scanning

• Need to integrate security tools into an AI coding assistant

• Automated vulnerability correlation across multiple scanner outputs

Tool Categories (150+ Tools)

Network Reconnaissance (25+ tools)

Port scanning, service enumeration, DNS analysis, subdomain discovery, network mapping. Tools include: nmap, masscan, amass, subfinder, dnsenum, fierce, netdiscover, hping3, unicornscan, zmap, and more.

Web Application Security (40+ tools)

Web vulnerability scanning, fuzzing, crawling, proxying, authentication testing. Tools include: burpsuite, sqlmap, nikto, dirb, gobuster, wfuzz, nuclei, httpx, katana, dalfox, xsser, commix, and more.

Authentication and Password (12+ tools)

Password cracking, brute-forcing, hash analysis, credential testing. Tools include: hydra, john, hashcat, medusa, ncrack, patator, crowbar, and more.

Binary and Reverse Engineering (25+ tools)

Disassembly, debugging, binary analysis, unpacking, exploitation. Tools include: ghidra, gdb, radare2, pwntools, checksec, ropper, one_gadget, strace, ltrace, and more.

Cloud and Container (20+ tools)

Cloud enumeration, container scanning, Kubernetes assessment, infrastructure auditing. Tools include: prowler, scoutSuite, pacu, cloudmapper, trivy, kube-hunter, kube-bench, checkov, and more.

CTF and Forensics (20+ tools)

Steganography, forensics analysis, crypto challenges, encoding/decoding. Tools include: steghide, binwalk, foremost, volatility, autopsy, zsteg, exiftool, cyberchef, and more.

Bug Bounty and OSINT (20+ tools)

Target reconnaissance, subdomain enumeration, technology detection, email harvesting. Tools include: theHarvester, shodan, censys, amass, recon-ng, maltego, spiderfoot, and more.

AI Agents (12 Agents)

This section covers ai agents (12 agents) for hexstrike ai pentest.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

Core Intelligence Agents

Exploitation and Analysis Agents

Operational Agents

MCP Integration

This section covers mcp integration for hexstrike ai pentest.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

Claude Desktop Configuration

{
  "mcpServers": {
    "hexstrike": {
      "command": "python",
      "args": ["path/to/hexstrike/mcp_server.py"],
      "env": {}
    }
  }
}

VS Code (Continue) Configuration

{
  "mcpServers": {
    "hexstrike": {
      "command": "python",
      "args": ["path/to/hexstrike/mcp_server.py"]
    }
  }
}

Cursor Configuration

Add MCP server in Cursor settings pointing to the hexstrike MCP server entrypoint.

Workflow Examples

1. Scope and authorize — confirm written authorization and define target boundaries
2. Reconnaissance — enumerate targets, services, and potential attack surfaces
3. Exploitation — attempt exploitation of identified vulnerabilities within scope
4. Post-exploitation — document access level, lateral movement, and data exposure
5. Report and remediate — compile findings with reproduction steps and fix recommendations

Bug Bounty Reconnaissance

1. BugBountyWorkflowManager receives target domain
2. TechnologyDetector fingerprints the target
3. IntelligentDecisionEngine selects recon tools
4. Subdomain enumeration + port scanning + tech stack identification
5. VulnerabilityCorrelator maps findings to known CVEs
6. AIExploitGenerator creates PoC for confirmed vulnerabilities

CTF Challenge

1. CTFWorkflowManager identifies challenge category (web/crypto/pwn/forensics)
2. IntelligentDecisionEngine selects appropriate tool chain
3. Tools execute in sequence with FailureRecoverySystem as safety net
4. ParameterOptimizer adjusts based on intermediate results
5. Solution generated and validated

Installation

git clone https://github.com/0x4m4/hexstrike-ai.git
cd hexstrike-ai
pip install -r requirements.txt

# Configure MCP in your client (Claude Desktop, VS Code, or Cursor)
# See MCP Integration section above

When NOT to Use

• Task is outside your authorization scope
• You need to implement controls (use implementing-* skills)
• Task is about analysis, not action (use analyzing-* skills)
• You don't have access to target systems
• Task requires compliance expertise (consult professionals)
• Task is about defense, not offense (use defensive skills)

Red Flags

• Automated scanning against targets without authorization is illegal
• AI-generated exploits must only be used in authorized assessments
• Tool outputs may contain sensitive data — handle with care
• Rate limiting bypass should only be used within engagement scope
• Always validate tool availability before starting a workflow

Verification

• All steps executed successfully against a test environment before production use
• Output documented with screenshots or logs demonstrating expected behavior
• All exploited vulnerabilities documented with reproduction steps
• Scope boundaries confirmed — only authorized targets were tested
• Remediation recommendations included for every finding

Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality

Anti-Rationalization Table