---
title: "Vulnerability Detection"
description: "Learn how to create AI agents for vulnerability detection and analysis."
icon: "shield-check"
---

```mermaid
flowchart LR
    In[In] --> Scanner[Pattern Scanner]
    Scanner --> Vector[Vector Analyzer]
    Vector --> Simulator[Exploit Simulator]
    Simulator --> Generator[Signature Generator]
    Generator --> Validator[Finding Validator]
    Validator --> Out[Out]
    
    style In fill:#8B0000,color:#fff
    style Scanner fill:#2E8B57,color:#fff
    style Vector fill:#2E8B57,color:#fff
    style Simulator fill:#2E8B57,color:#fff
    style Generator fill:#2E8B57,color:#fff
    style Validator fill:#2E8B57,color:#fff
    style Out fill:#8B0000,color:#fff
```

## What is Vulnerability Detection?

Vulnerability Detection is a systematic process of identifying, analyzing, and validating security vulnerabilities in code. It involves pattern scanning, attack vector analysis, exploitation simulation, signature generation, and finding validation to ensure robust security measures are in place.

## Features

<CardGroup cols={2}>
  <Card title="Pattern Scanning" icon="magnifying-glass">
    Detection of buffer overflows, SQL injections, and race conditions.
  </Card>
  <Card title="Attack Vector Analysis" icon="route">
    Analysis of attack paths, complexity, and CVSS scores.
  </Card>
  <Card title="Exploit Simulation" icon="bug">
    Simulation of exploitation attempts with success rate and detection time.
  </Card>
  <Card title="Signature Generation" icon="fingerprint">
    Creation of vulnerability signatures with reliability metrics.
  </Card>
  <Card title="Finding Validation" icon="check-double">
    Validation of findings with confidence and reproducibility scores.
  </Card>
</CardGroup>

## Quick Start

<Steps>
    <Step title="Install Package">
        First, install the PraisonAI Agents package:
        ```bash
        pip install praisonaiagents
        ```
    </Step>

    <Step title="Set API Key">
        Set your OpenAI API key as an environment variable in your terminal:
        ```bash
        export OPENAI_API_KEY=your_api_key_here
        ```
    </Step>

    <Step title="Create a file">
        Create a new file `app.py` with the basic setup:
```python
from praisonaiagents import Agent, Task, PraisonAIAgents
import time
from typing import Dict, List
import asyncio

def scan_code_patterns():
    """Simulates code pattern scanning"""
    patterns = [
        {
            "type": "buffer_overflow",
            "severity": "critical",
            "location": "memory_management",
            "frequency": 3
        },
        {
            "type": "sql_injection",
            "severity": "high",
            "location": "database_interface",
            "frequency": 2
        },
        {
            "type": "race_condition",
            "severity": "medium",
            "location": "thread_handling",
            "frequency": 1
        }
    ]
    return patterns[int(time.time()) % 3]

def analyze_attack_vectors(pattern: Dict):
    """Analyzes potential attack vectors"""
    vectors = []
    severity_scores = {"critical": 9.5, "high": 8.0, "medium": 6.5}
    base_score = severity_scores[pattern["type"]]
    
    vectors.append({
        "type": pattern["type"],
        "attack_path": f"exploit_{pattern['location']}",
        "complexity": "high" if pattern["frequency"] < 2 else "medium",
        "cvss_score": base_score + (time.time() % 1)
    })
    return vectors

def simulate_exploitation(vectors: List[Dict]):
    """Simulates exploitation attempts"""
    results = []
    for vector in vectors:
        results.append({
            "vector": vector["type"],
            "success_rate": 0.7 + (time.time() % 3) / 10,
            "detection_time": 100 + (int(time.time()) % 50),
            "mitigation_possible": vector["complexity"] != "high"
        })
    return results

def generate_signatures(results: List[Dict]):
    """Generates vulnerability signatures"""
    signatures = []
    for result in results:
        signatures.append({
            "pattern": f"signature_{result['vector']}",
            "reliability": result['success_rate'],
            "false_positive_rate": 0.1 + (time.time() % 2) / 10,
            "detection_speed": result['detection_time']
        })
    return signatures

def validate_findings(signatures: List[Dict]):
    """Validates vulnerability findings"""
    validations = []
    for sig in signatures:
        validations.append({
            "signature": sig["pattern"],
            "confidence": sig["reliability"] * (1 - sig["false_positive_rate"]),
            "reproducibility": 0.8 + (time.time() % 2) / 10,
            "severity": "critical" if sig["reliability"] > 0.8 else "high"
        })
    return validations

# Create specialized agents
pattern_scanner = Agent(
    name="Pattern Scanner",
    role="Code Analysis",
    goal="Scan for suspicious patterns",
    instructions="Analyze code for potential vulnerabilities",
    tools=[scan_code_patterns]
)

vector_analyzer = Agent(
    name="Vector Analyzer",
    role="Attack Vector Analysis",
    goal="Analyze attack vectors",
    instructions="Identify potential attack paths",
    tools=[analyze_attack_vectors]
)

exploit_simulator = Agent(
    name="Exploit Simulator",
    role="Exploitation Testing",
    goal="Simulate exploitation attempts",
    instructions="Test potential vulnerabilities",
    tools=[simulate_exploitation]
)

signature_generator = Agent(
    name="Signature Generator",
    role="Signature Creation",
    goal="Generate vulnerability signatures",
    instructions="Create detection signatures",
    tools=[generate_signatures]
)

finding_validator = Agent(
    name="Finding Validator",
    role="Validation",
    goal="Validate findings",
    instructions="Verify vulnerability findings",
    tools=[validate_findings]
)

# Create workflow tasks
scanning_task = Task(
    name="scan_patterns",
    description="Scan code patterns",
    expected_output="Suspicious patterns",
    agent=pattern_scanner,
    is_start=True,
    next_tasks=["analyze_vectors"]
)

vector_task = Task(
    name="analyze_vectors",
    description="Analyze attack vectors",
    expected_output="Attack vectors",
    agent=vector_analyzer,
    next_tasks=["simulate_exploits"]
)

simulation_task = Task(
    name="simulate_exploits",
    description="Simulate exploits",
    expected_output="Exploitation results",
    agent=exploit_simulator,
    next_tasks=["generate_signatures"]
)

signature_task = Task(
    name="generate_signatures",
    description="Generate signatures",
    expected_output="Vulnerability signatures",
    agent=signature_generator,
    next_tasks=["validate_findings"]
)

validation_task = Task(
    name="validate_findings",
    description="Validate findings",
    expected_output="Validation results",
    agent=finding_validator,
    task_type="decision",
    condition={
        "critical": ["scan_patterns"],  # Continue scanning if critical
        "high": ["analyze_vectors"],  # Reanalyze if high
        "medium": ""  # End workflow if medium
    }
)

# Create workflow
workflow = PraisonAIAgents(
    agents=[pattern_scanner, vector_analyzer, exploit_simulator,
            signature_generator, finding_validator],
    tasks=[scanning_task, vector_task, simulation_task,
           signature_task, validation_task],
    process="workflow",
    verbose=True
)

async def main():
    print("\nStarting Vulnerability Detection Workflow...")
    print("=" * 50)
    
    # Run workflow
    results = await workflow.astart()
    
    # Print results
    print("\nVulnerability Detection Results:")
    print("=" * 50)
    for task_id, result in results["task_results"].items():
        if result:
            print(f"\nTask: {task_id}")
            print(f"Result: {result.raw}")
            print("-" * 50)

if __name__ == "__main__":
    asyncio.run(main())
```
    </Step>
</Steps>

## Next Steps

<CardGroup>
  <Card title="Introduction" icon="book" href="/introduction">
    Learn more about PraisonAI and its core concepts
  </Card>
  <Card title="Quick Start" icon="bolt" href="/quickstart">
    Get started with the basics of PraisonAI
  </Card>
</CardGroup>