257 lines
10 KiB
Python
257 lines
10 KiB
Python
# dnsrecon/core/logger.py
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import logging
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from datetime import datetime
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from typing import Dict, Any, Optional, List
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from dataclasses import dataclass, asdict
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from datetime import timezone
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@dataclass
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class APIRequest:
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"""Structured representation of an API request for forensic logging."""
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timestamp: str
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provider: str
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url: str
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method: str
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status_code: Optional[int]
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response_size: Optional[int]
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duration_ms: Optional[float]
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error: Optional[str]
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target_indicator: str
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discovery_context: Optional[str]
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@dataclass
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class RelationshipDiscovery:
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"""Structured representation of a discovered relationship."""
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timestamp: str
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source_node: str
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target_node: str
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relationship_type: str
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confidence_score: float
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provider: str
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raw_data: Dict[str, Any]
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discovery_method: str
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class ForensicLogger:
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"""
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Thread-safe forensic logging system for DNSRecon.
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Maintains detailed audit trail of all reconnaissance activities.
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"""
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def __init__(self, session_id: str = None):
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"""
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Initialize forensic logger.
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Args:
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session_id: Unique identifier for this reconnaissance session
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"""
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self.session_id = session_id or self._generate_session_id()
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# Initialize audit trail storage
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self.api_requests: List[APIRequest] = []
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self.relationships: List[RelationshipDiscovery] = []
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self.session_metadata = {
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'session_id': self.session_id,
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'start_time': datetime.now(timezone.utc).isoformat(),
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'end_time': None,
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'total_requests': 0,
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'total_relationships': 0,
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'providers_used': set(),
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'target_domains': set()
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}
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# Configure standard logger
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self.logger = logging.getLogger(f'dnsrecon.{self.session_id}')
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self.logger.setLevel(logging.INFO)
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# Create formatter for structured logging
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formatter = logging.Formatter(
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'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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# Add console handler if not already present
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if not self.logger.handlers:
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console_handler = logging.StreamHandler()
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console_handler.setFormatter(formatter)
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self.logger.addHandler(console_handler)
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def __getstate__(self):
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state = self.__dict__.copy()
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# Exclude the unpickleable 'logger' attribute
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if 'logger' in state:
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del state['logger']
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return state
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def __setstate__(self, state):
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self.__dict__.update(state)
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# Re-initialize the 'logger' attribute
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self.logger = logging.getLogger(f'dnsrecon.{self.session_id}')
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self.logger.setLevel(logging.INFO)
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formatter = logging.Formatter(
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'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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if not self.logger.handlers:
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console_handler = logging.StreamHandler()
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console_handler.setFormatter(formatter)
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self.logger.addHandler(console_handler)
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def _generate_session_id(self) -> str:
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"""Generate unique session identifier."""
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return f"dnsrecon_{datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')}"
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def log_api_request(self, provider: str, url: str, method: str = "GET",
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status_code: Optional[int] = None,
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response_size: Optional[int] = None,
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duration_ms: Optional[float] = None,
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error: Optional[str] = None,
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target_indicator: str = "",
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discovery_context: Optional[str] = None) -> None:
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"""
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Log an API request for forensic audit trail.
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Args:
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provider: Name of the data provider
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url: Request URL
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method: HTTP method
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status_code: HTTP response status code
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response_size: Size of response in bytes
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duration_ms: Request duration in milliseconds
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error: Error message if request failed
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target_indicator: The indicator being investigated
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discovery_context: Context of how this indicator was discovered
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"""
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api_request = APIRequest(
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timestamp=datetime.now(timezone.utc).isoformat(),
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provider=provider,
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url=url,
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method=method,
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status_code=status_code,
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response_size=response_size,
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duration_ms=duration_ms,
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error=error,
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target_indicator=target_indicator,
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discovery_context=discovery_context
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)
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self.api_requests.append(api_request)
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self.session_metadata['total_requests'] += 1
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self.session_metadata['providers_used'].add(provider)
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if target_indicator:
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self.session_metadata['target_domains'].add(target_indicator)
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# Log to standard logger
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if error:
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self.logger.error(f"API Request Failed - {provider}: {url} - {error}")
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else:
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self.logger.info(f"API Request - {provider}: {url} - Status: {status_code}")
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def log_relationship_discovery(self, source_node: str, target_node: str,
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relationship_type: str, confidence_score: float,
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provider: str, raw_data: Dict[str, Any],
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discovery_method: str) -> None:
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"""
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Log discovery of a new relationship between indicators.
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Args:
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source_node: Source node identifier
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target_node: Target node identifier
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relationship_type: Type of relationship (e.g., 'SAN', 'A_Record')
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confidence_score: Confidence score (0.0 to 1.0)
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provider: Provider that discovered this relationship
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raw_data: Raw data from provider response
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discovery_method: Method used to discover relationship
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"""
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relationship = RelationshipDiscovery(
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timestamp=datetime.now(timezone.utc).isoformat(),
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source_node=source_node,
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target_node=target_node,
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relationship_type=relationship_type,
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confidence_score=confidence_score,
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provider=provider,
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raw_data=raw_data,
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discovery_method=discovery_method
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)
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self.relationships.append(relationship)
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self.session_metadata['total_relationships'] += 1
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self.logger.info(
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f"Relationship Discovered - {source_node} -> {target_node} "
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f"({relationship_type}) - Confidence: {confidence_score:.2f} - Provider: {provider}"
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)
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def log_scan_start(self, target_domain: str, recursion_depth: int,
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enabled_providers: List[str]) -> None:
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"""Log the start of a reconnaissance scan."""
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self.logger.info(f"Scan Started - Target: {target_domain}, Depth: {recursion_depth}")
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self.logger.info(f"Enabled Providers: {', '.join(enabled_providers)}")
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self.session_metadata['target_domains'].add(target_domain)
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def log_scan_complete(self) -> None:
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"""Log the completion of a reconnaissance scan."""
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self.session_metadata['end_time'] = datetime.now(timezone.utc).isoformat()
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self.session_metadata['providers_used'] = list(self.session_metadata['providers_used'])
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self.session_metadata['target_domains'] = list(self.session_metadata['target_domains'])
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self.logger.info(f"Scan Complete - Session: {self.session_id}")
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self.logger.info(f"Total API Requests: {self.session_metadata['total_requests']}")
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self.logger.info(f"Total Relationships: {self.session_metadata['total_relationships']}")
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def export_audit_trail(self) -> Dict[str, Any]:
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"""
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Export complete audit trail for forensic analysis.
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Returns:
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Dictionary containing complete session audit trail
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"""
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return {
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'session_metadata': self.session_metadata.copy(),
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'api_requests': [asdict(req) for req in self.api_requests],
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'relationships': [asdict(rel) for rel in self.relationships],
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'export_timestamp': datetime.now(timezone.utc).isoformat()
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}
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def get_forensic_summary(self) -> Dict[str, Any]:
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"""
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Get summary statistics for forensic reporting.
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Returns:
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Dictionary containing summary statistics
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"""
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provider_stats = {}
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for provider in self.session_metadata['providers_used']:
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provider_requests = [req for req in self.api_requests if req.provider == provider]
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provider_relationships = [rel for rel in self.relationships if rel.provider == provider]
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provider_stats[provider] = {
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'total_requests': len(provider_requests),
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'successful_requests': len([req for req in provider_requests if req.error is None]),
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'failed_requests': len([req for req in provider_requests if req.error is not None]),
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'relationships_discovered': len(provider_relationships),
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'avg_confidence': sum(rel.confidence_score for rel in provider_relationships) / len(provider_relationships) if provider_relationships else 0
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}
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return {
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'session_id': self.session_id,
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'duration_minutes': self._calculate_session_duration(),
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'total_requests': self.session_metadata['total_requests'],
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'total_relationships': self.session_metadata['total_relationships'],
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'unique_indicators': len(set([rel.source_node for rel in self.relationships] + [rel.target_node for rel in self.relationships])),
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'provider_statistics': provider_stats
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}
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def _calculate_session_duration(self) -> float:
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"""Calculate session duration in minutes."""
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if not self.session_metadata['end_time']:
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end_time = datetime.now(timezone.utc)
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else:
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end_time = datetime.fromisoformat(self.session_metadata['end_time'])
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start_time = datetime.fromisoformat(self.session_metadata['start_time'])
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duration = (end_time - start_time).total_seconds() / 60
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return round(duration, 2) |