Coverage for src/alprina_cli/agents/red_teamer.py: 26%
85 statements
« prev ^ index » next coverage.py v7.11.3, created at 2025-11-14 11:27 +0100
1"""
2Alprina Red Team Agent
4Offensive security testing agent that simulates attacker behavior.
5Integrated from Alprina framework for use in Alprina platform.
6"""
8import asyncio
9from typing import Dict, Any, List
10from loguru import logger
13# Import actual CAI Red Team Agent (silently)
14try:
15 from alprina.agents import get_agent_by_name
16 CAI_AVAILABLE = True
17 logger.debug("CAI Red Team Agent available") # DEBUG level - not shown to users
18except ImportError as e:
19 CAI_AVAILABLE = False
20 logger.debug(f"Alprina agents not available: {e}") # DEBUG level - not shown to users
23class RedTeamerAgentWrapper:
24 """
25 Wrapper for CAI Red Team Agent.
27 Provides synchronous interface to the async CAI Red Team Agent.
28 """
30 def __init__(self):
31 self.name = "Red Team Agent"
32 self.agent_type = "offensive-security"
33 self.description = "Offensive security testing and attack simulation"
34 self._alprina_agent = None
36 def _get_alprina_agent(self):
37 """Get or create Alprina agent instance."""
38 if not CAI_AVAILABLE:
39 return None
41 if self._alprina_agent is None:
42 try:
43 # Get the real CAI Red Team Agent
44 self._alprina_agent = get_agent_by_name("redteam_agent")
45 logger.info("CAI Red Team Agent initialized")
46 except Exception as e:
47 logger.error(f"Failed to initialize CAI Red Team Agent: {e}")
48 return None
50 return self._alprina_agent
52 async def _scan_async(self, target: str, safe_only: bool = True) -> Dict[str, Any]:
53 """
54 Async scan using real Alprina agent.
56 Args:
57 target: Target system, application, or path
58 safe_only: If True, only perform safe, non-destructive tests
60 Returns:
61 Dictionary with scan results
62 """
63 alprina_agent = self._get_alprina_agent()
65 if alprina_agent is None:
66 # Fallback to mock implementation
67 return self._mock_scan(target, safe_only)
69 try:
70 # Build prompt for Alprina agent
71 if safe_only:
72 prompt = f"""Perform safe, non-destructive red team assessment on: {target}
74Focus on:
75- Identifying attack vectors (no exploitation)
76- Security weaknesses
77- Potential vulnerabilities
78- Attack surface analysis
80Provide detailed findings with severity levels."""
81 else:
82 prompt = f"""Perform comprehensive red team assessment on: {target}
84Include:
85- Attack vector identification
86- Exploitation path analysis
87- Security bypass techniques
88- Privilege escalation vectors
89- Complete attack surface mapping
91Provide detailed findings with exploitation scenarios."""
93 # Create message for Alprina agent
94 messages = [
95 {"role": "user", "content": prompt}
96 ]
98 # Run Alprina agent (async)
99 result = await alprina_agent.run(messages)
101 # Parse Alprina agent response into findings
102 findings = self._parse_cai_response(result.value, target)
104 return {
105 "agent": self.name,
106 "type": self.agent_type,
107 "target": target,
108 "findings": findings,
109 "summary": {
110 "total_findings": len(findings),
111 "attack_vectors": len([f for f in findings if f.get("type") == "Attack Vector"]),
112 "exploitation_paths": len([f for f in findings if f.get("type") == "Exploitation Path"]),
113 "alprina_powered": True
114 }
115 }
117 except Exception as e:
118 logger.error(f"CAI Red Team Agent error: {e}")
119 # Fallback to mock
120 return self._mock_scan(target, safe_only)
122 def _mock_scan(self, target: str, safe_only: bool = True) -> Dict[str, Any]:
123 """
124 Mock scan implementation (fallback when CAI not available).
126 Args:
127 target: Target to scan
128 safe_only: Only perform safe tests
130 Returns:
131 Mock scan results
132 """
133 findings = []
135 findings.append({
136 "type": "Attack Vector",
137 "severity": "HIGH",
138 "title": "Potential SQL Injection Entry Point",
139 "description": "Identified input parameter that may be vulnerable to SQL injection",
140 "file": target,
141 "line": 0,
142 "confidence": 0.85,
143 "attack_scenario": "Attacker could inject malicious SQL commands"
144 })
146 if not safe_only:
147 findings.append({
148 "type": "Exploitation Path",
149 "severity": "CRITICAL",
150 "title": "Authentication Bypass Possible",
151 "description": "Weak authentication mechanism could allow bypass",
152 "file": target,
153 "line": 0,
154 "confidence": 0.75,
155 "attack_scenario": "Session hijacking or credential stuffing"
156 })
158 return {
159 "agent": self.name,
160 "type": self.agent_type,
161 "target": target,
162 "findings": findings,
163 "summary": {
164 "total_findings": len(findings),
165 "attack_vectors": len([f for f in findings if f["type"] == "Attack Vector"]),
166 "exploitation_paths": len([f for f in findings if f["type"] == "Exploitation Path"]),
167 "alprina_powered": False
168 }
169 }
171 def _parse_cai_response(self, response: str, target: str) -> List[Dict[str, Any]]:
172 """
173 Parse Alprina agent response into structured findings.
175 Args:
176 response: Alprina agent response text
177 target: Target that was scanned
179 Returns:
180 List of finding dictionaries
181 """
182 findings = []
184 # Parse response text for findings
185 # Look for severity markers and extract structured data
186 import re
188 # Split by severity markers
189 high_pattern = r"(?i)(critical|high|severe).*?(?=\n\n|\Z)"
190 medium_pattern = r"(?i)(medium|moderate).*?(?=\n\n|\Z)"
191 low_pattern = r"(?i)(low|minor|info).*?(?=\n\n|\Z)"
193 for severity, pattern in [("HIGH", high_pattern), ("MEDIUM", medium_pattern), ("LOW", low_pattern)]:
194 matches = re.finditer(pattern, response, re.DOTALL)
195 for match in matches:
196 finding_text = match.group(0)
198 # Extract title (first line)
199 lines = finding_text.strip().split('\n')
200 title = lines[0] if lines else "Security Finding"
202 # Create finding entry
203 finding = {
204 "type": "Attack Vector" if "attack" in finding_text.lower() else "Security Finding",
205 "severity": severity,
206 "title": title[:100], # Limit title length
207 "description": finding_text[:500], # Limit description
208 "file": target,
209 "line": 0,
210 "confidence": 0.8,
211 "attack_scenario": self._extract_attack_scenario(finding_text)
212 }
213 findings.append(finding)
215 # If no findings parsed, create a summary finding
216 if not findings and len(response) > 50:
217 findings.append({
218 "type": "Red Team Assessment",
219 "severity": "INFO",
220 "title": "Red Team Analysis Complete",
221 "description": response[:500],
222 "file": target,
223 "line": 0,
224 "confidence": 1.0,
225 "attack_scenario": "See full assessment details"
226 })
228 return findings
230 def _extract_attack_scenario(self, text: str) -> str:
231 """Extract attack scenario from finding text."""
232 # Look for common attack scenario keywords
233 keywords = ["attack", "exploit", "compromise", "inject", "bypass"]
235 for keyword in keywords:
236 if keyword in text.lower():
237 # Extract sentence containing keyword
238 sentences = text.split('.')
239 for sentence in sentences:
240 if keyword in sentence.lower():
241 return sentence.strip()[:200]
243 return "See description for details"
245 def scan(self, target: str, safe_only: bool = True) -> Dict[str, Any]:
246 """
247 Perform offensive security scan (synchronous wrapper).
249 Args:
250 target: Target system, application, or path
251 safe_only: If True, only perform safe, non-destructive tests
253 Returns:
254 Dictionary with scan results
255 """
256 logger.info(f"Red Team Agent scanning: {target} (safe_only={safe_only}, CAI={CAI_AVAILABLE})")
258 # Run async scan in sync context
259 try:
260 loop = asyncio.get_event_loop()
261 except RuntimeError:
262 loop = asyncio.new_event_loop()
263 asyncio.set_event_loop(loop)
265 return loop.run_until_complete(self._scan_async(target, safe_only))
268# Create singleton instance
269red_teamer_agent = RedTeamerAgentWrapper()
272def run_red_team_scan(target: str, safe_only: bool = True) -> Dict[str, Any]:
273 """
274 Run red team security scan.
276 Args:
277 target: Target to scan
278 safe_only: Only perform safe tests
280 Returns:
281 Scan results
282 """
283 return red_teamer_agent.scan(target, safe_only)