feat: add SQLite persistent storage for request logging

- Add SQLAlchemy-based database layer for persistent storage
  - Create models for access_logs, credential_attempts, attack_detections, ip_stats
  - Include fields for future GeoIP and reputation enrichment
  - Implement sanitization utilities to protect against malicious payloads
  - Fix XSS vulnerability in dashboard template (HTML escape all user data)
  - Add DATABASE_PATH and DATABASE_RETENTION_DAYS config options
  - Dual storage: in-memory for dashboard performance + SQLite for persistence

  New files:
  - src/models.py - SQLAlchemy ORM models
  - src/database.py - DatabaseManager singleton
  - src/sanitizer.py - Input sanitization and HTML escaping
  - requirements.txt - SQLAlchemy dependency

  Security protections:
  - Parameterized queries via SQLAlchemy ORM
  - Field length limits to prevent storage exhaustion
  - Null byte and control character stripping
  - HTML escaping on dashboard output

.gitignore

@@ -61,6 +61,10 @@ secrets/
 *.log
 logs/
 
+# Database
+data/
+*.db
+
 # Temporary files
 *.tmp
 *.temp

docs/coding-guidelines.md

@@ -0,0 +1,90 @@
+### Coding Standards
+
+**Style & Structure**
+- Prefer longer, explicit code over compact one-liners
+- Always include docstrings for functions/classes + inline comments
+- Strongly prefer OOP-style code (classes over functional/nested functions)
+- Strong typing throughout (dataclasses, TypedDict, Enums, type hints)
+- Value future-proofing and expanded usage insights
+
+**Data Design**
+- Use dataclasses for internal data modeling
+- Typed JSON structures
+- Functions return fully typed objects (no loose dicts)
+- Snapshot files in JSON or YAML
+- Human-readable fields (e.g., `sql_injection`, `xss_attempt`)
+
+**Templates & UI**
+- Don't mix large HTML/CSS blocks in Python code
+- Prefer Jinja templates for HTML rendering
+- Clean CSS, minimal inline clutter, readable template logic
+
+**Writing & Documentation**
+- Markdown documentation
+- Clear section headers
+- Roadmap/Phase/Feature-Session style documents
+
+**Logging**
+- Use singleton for logging found in `src\logger.py`
+- Setup logging at app start: 
+    ```
+    initialize_logging()
+    app_logger = get_app_logger()
+    access_logger = get_access_logger()
+    credential_logger = get_credential_logger()
+    ```
+
+**Preferred Pip Packages**
+- API/Web Server: Simple Python
+- HTTP: Requests
+- SQLite: Sqlalchemy
+- Database Migrations: Alembic
+
+### Error Handling
+- Custom exception classes for domain-specific errors
+- Consistent error response formats (JSON structure)
+- Logging severity levels (ERROR vs WARNING)
+
+### Configuration
+- `.env` for secrets (never committed)
+- Maintain `.env.example` in each component for documentation
+- Typed config loaders using dataclasses
+- Validation on startup
+
+### Containerization & Deployment
+- Explicit Dockerfiles
+- Production-friendly hardening (distroless/slim when meaningful)
+- Use git branch as tag
+
+### Dependency Management
+- Use `requirements.txt` and virtual environments (`python3 -m venv venv`)
+- Use path `venv` for all virtual environments
+- Pin versions to version ranges (or exact versions if pinning a particular version)
+- Activate venv before running code (unless in Docker)
+
+### Testing Standards
+- Manual testing preferred for applications
+- **tests:** Use shell scripts with curl/httpie for simulation and attack scripts.
+- tests should be located in `tests` directory
+
+### Git Standards
+
+**Branch Strategy:**
+- `master` - Production-ready code only
+- `beta` - Public pre-release testing
+- `dev` - Main development branch, integration point
+
+**Workflow:**
+- Feature work branches off `dev` (e.g., `feature/add-scheduler`)
+- Merge features back to `dev` for testing
+- Promote `dev` → `beta` for public testing (when applicable)
+- Promote `beta` (or `dev`) → `master` for production
+
+**Commit Messages:**
+- Use conventional commit format: `feat:`, `fix:`, `docs:`, `refactor:`, etc.
+- Keep commits atomic and focused
+- Write clear, descriptive messages
+
+**Tagging:**
+- Tag releases on `master` with semantic versioning (e.g., `v1.2.3`)
+- Optionally tag beta releases (e.g., `v1.2.3-beta.1`)

requirements.txt

@@ -0,0 +1,5 @@
+# Krawl Honeypot Dependencies
+# Install with: pip install -r requirements.txt
+
+# Database ORM
+SQLAlchemy>=2.0.0,<3.0.0

src/config.py

@@ -22,6 +22,9 @@ class Config:
     api_server_path: str = "/api/v2/users"
     probability_error_codes: int = 0  # Percentage (0-100)
     server_header: str = "Apache/2.2.22 (Ubuntu)"
+    # Database settings
+    database_path: str = "data/krawl.db"
+    database_retention_days: int = 30
 
     @classmethod
     def from_env(cls) -> 'Config':
@@ -46,5 +49,7 @@ class Config:
             api_server_port=int(os.getenv('API_SERVER_PORT', 8080)),
             api_server_path=os.getenv('API_SERVER_PATH', '/api/v2/users'),
             probability_error_codes=int(os.getenv('PROBABILITY_ERROR_CODES', 5)),
-            server_header=os.getenv('SERVER_HEADER', 'Apache/2.2.22 (Ubuntu)')
+            server_header=os.getenv('SERVER_HEADER', 'Apache/2.2.22 (Ubuntu)'),
+            database_path=os.getenv('DATABASE_PATH', 'data/krawl.db'),
+            database_retention_days=int(os.getenv('DATABASE_RETENTION_DAYS', 30))
         )

src/database.py

@@ -0,0 +1,361 @@
+#!/usr/bin/env python3
+
+"""
+Database singleton module for the Krawl honeypot.
+Provides SQLAlchemy session management and database initialization.
+"""
+
+import os
+import stat
+from datetime import datetime
+from typing import Optional, List, Dict, Any
+
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker, scoped_session, Session
+
+from models import Base, AccessLog, CredentialAttempt, AttackDetection, IpStats
+from sanitizer import (
+    sanitize_ip,
+    sanitize_path,
+    sanitize_user_agent,
+    sanitize_credential,
+    sanitize_attack_pattern,
+)
+
+
+class DatabaseManager:
+    """
+    Singleton database manager for the Krawl honeypot.
+
+    Handles database initialization, session management, and provides
+    methods for persisting access logs, credentials, and attack detections.
+    """
+    _instance: Optional["DatabaseManager"] = None
+
+    def __new__(cls) -> "DatabaseManager":
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+            cls._instance._initialized = False
+        return cls._instance
+
+    def initialize(self, database_path: str = "data/krawl.db") -> None:
+        """
+        Initialize the database connection and create tables.
+
+        Args:
+            database_path: Path to the SQLite database file
+        """
+        if self._initialized:
+            return
+
+        # Create data directory if it doesn't exist
+        data_dir = os.path.dirname(database_path)
+        if data_dir and not os.path.exists(data_dir):
+            os.makedirs(data_dir, exist_ok=True)
+
+        # Create SQLite database with check_same_thread=False for multi-threaded access
+        database_url = f"sqlite:///{database_path}"
+        self._engine = create_engine(
+            database_url,
+            connect_args={"check_same_thread": False},
+            echo=False  # Set to True for SQL debugging
+        )
+
+        # Create session factory with scoped_session for thread safety
+        session_factory = sessionmaker(bind=self._engine)
+        self._Session = scoped_session(session_factory)
+
+        # Create all tables
+        Base.metadata.create_all(self._engine)
+
+        # Set restrictive file permissions (owner read/write only)
+        if os.path.exists(database_path):
+            try:
+                os.chmod(database_path, stat.S_IRUSR | stat.S_IWUSR)  # 600
+            except OSError:
+                # May fail on some systems, not critical
+                pass
+
+        self._initialized = True
+
+    @property
+    def session(self) -> Session:
+        """Get a thread-local database session."""
+        if not self._initialized:
+            raise RuntimeError("DatabaseManager not initialized. Call initialize() first.")
+        return self._Session()
+
+    def close_session(self) -> None:
+        """Close the current thread-local session."""
+        if self._initialized:
+            self._Session.remove()
+
+    def persist_access(
+        self,
+        ip: str,
+        path: str,
+        user_agent: str = "",
+        method: str = "GET",
+        is_suspicious: bool = False,
+        is_honeypot_trigger: bool = False,
+        attack_types: Optional[List[str]] = None,
+        matched_patterns: Optional[Dict[str, str]] = None
+    ) -> Optional[int]:
+        """
+        Persist an access log entry to the database.
+
+        Args:
+            ip: Client IP address
+            path: Requested path
+            user_agent: Client user agent string
+            method: HTTP method (GET, POST, HEAD)
+            is_suspicious: Whether the request was flagged as suspicious
+            is_honeypot_trigger: Whether a honeypot path was accessed
+            attack_types: List of detected attack types
+            matched_patterns: Dict mapping attack_type to matched pattern
+
+        Returns:
+            The ID of the created AccessLog record, or None on error
+        """
+        session = self.session
+        try:
+            # Create access log with sanitized fields
+            access_log = AccessLog(
+                ip=sanitize_ip(ip),
+                path=sanitize_path(path),
+                user_agent=sanitize_user_agent(user_agent),
+                method=method[:10],
+                is_suspicious=is_suspicious,
+                is_honeypot_trigger=is_honeypot_trigger,
+                timestamp=datetime.utcnow()
+            )
+            session.add(access_log)
+            session.flush()  # Get the ID before committing
+
+            # Add attack detections if any
+            if attack_types:
+                matched_patterns = matched_patterns or {}
+                for attack_type in attack_types:
+                    detection = AttackDetection(
+                        access_log_id=access_log.id,
+                        attack_type=attack_type[:50],
+                        matched_pattern=sanitize_attack_pattern(
+                            matched_patterns.get(attack_type, "")
+                        )
+                    )
+                    session.add(detection)
+
+            # Update IP stats
+            self._update_ip_stats(session, ip)
+
+            session.commit()
+            return access_log.id
+
+        except Exception as e:
+            session.rollback()
+            # Log error but don't crash - database persistence is secondary to honeypot function
+            print(f"Database error persisting access: {e}")
+            return None
+        finally:
+            self.close_session()
+
+    def persist_credential(
+        self,
+        ip: str,
+        path: str,
+        username: Optional[str] = None,
+        password: Optional[str] = None
+    ) -> Optional[int]:
+        """
+        Persist a credential attempt to the database.
+
+        Args:
+            ip: Client IP address
+            path: Login form path
+            username: Submitted username
+            password: Submitted password
+
+        Returns:
+            The ID of the created CredentialAttempt record, or None on error
+        """
+        session = self.session
+        try:
+            credential = CredentialAttempt(
+                ip=sanitize_ip(ip),
+                path=sanitize_path(path),
+                username=sanitize_credential(username),
+                password=sanitize_credential(password),
+                timestamp=datetime.utcnow()
+            )
+            session.add(credential)
+            session.commit()
+            return credential.id
+
+        except Exception as e:
+            session.rollback()
+            print(f"Database error persisting credential: {e}")
+            return None
+        finally:
+            self.close_session()
+
+    def _update_ip_stats(self, session: Session, ip: str) -> None:
+        """
+        Update IP statistics (upsert pattern).
+
+        Args:
+            session: Active database session
+            ip: IP address to update
+        """
+        sanitized_ip = sanitize_ip(ip)
+        now = datetime.utcnow()
+
+        ip_stats = session.query(IpStats).filter(IpStats.ip == sanitized_ip).first()
+
+        if ip_stats:
+            ip_stats.total_requests += 1
+            ip_stats.last_seen = now
+        else:
+            ip_stats = IpStats(
+                ip=sanitized_ip,
+                total_requests=1,
+                first_seen=now,
+                last_seen=now
+            )
+            session.add(ip_stats)
+
+    def get_access_logs(
+        self,
+        limit: int = 100,
+        offset: int = 0,
+        ip_filter: Optional[str] = None,
+        suspicious_only: bool = False
+    ) -> List[Dict[str, Any]]:
+        """
+        Retrieve access logs with optional filtering.
+
+        Args:
+            limit: Maximum number of records to return
+            offset: Number of records to skip
+            ip_filter: Filter by IP address
+            suspicious_only: Only return suspicious requests
+
+        Returns:
+            List of access log dictionaries
+        """
+        session = self.session
+        try:
+            query = session.query(AccessLog).order_by(AccessLog.timestamp.desc())
+
+            if ip_filter:
+                query = query.filter(AccessLog.ip == sanitize_ip(ip_filter))
+            if suspicious_only:
+                query = query.filter(AccessLog.is_suspicious == True)
+
+            logs = query.offset(offset).limit(limit).all()
+
+            return [
+                {
+                    'id': log.id,
+                    'ip': log.ip,
+                    'path': log.path,
+                    'user_agent': log.user_agent,
+                    'method': log.method,
+                    'is_suspicious': log.is_suspicious,
+                    'is_honeypot_trigger': log.is_honeypot_trigger,
+                    'timestamp': log.timestamp.isoformat(),
+                    'attack_types': [d.attack_type for d in log.attack_detections]
+                }
+                for log in logs
+            ]
+        finally:
+            self.close_session()
+
+    def get_credential_attempts(
+        self,
+        limit: int = 100,
+        offset: int = 0,
+        ip_filter: Optional[str] = None
+    ) -> List[Dict[str, Any]]:
+        """
+        Retrieve credential attempts with optional filtering.
+
+        Args:
+            limit: Maximum number of records to return
+            offset: Number of records to skip
+            ip_filter: Filter by IP address
+
+        Returns:
+            List of credential attempt dictionaries
+        """
+        session = self.session
+        try:
+            query = session.query(CredentialAttempt).order_by(
+                CredentialAttempt.timestamp.desc()
+            )
+
+            if ip_filter:
+                query = query.filter(CredentialAttempt.ip == sanitize_ip(ip_filter))
+
+            attempts = query.offset(offset).limit(limit).all()
+
+            return [
+                {
+                    'id': attempt.id,
+                    'ip': attempt.ip,
+                    'path': attempt.path,
+                    'username': attempt.username,
+                    'password': attempt.password,
+                    'timestamp': attempt.timestamp.isoformat()
+                }
+                for attempt in attempts
+            ]
+        finally:
+            self.close_session()
+
+    def get_ip_stats(self, limit: int = 100) -> List[Dict[str, Any]]:
+        """
+        Retrieve IP statistics ordered by total requests.
+
+        Args:
+            limit: Maximum number of records to return
+
+        Returns:
+            List of IP stats dictionaries
+        """
+        session = self.session
+        try:
+            stats = session.query(IpStats).order_by(
+                IpStats.total_requests.desc()
+            ).limit(limit).all()
+
+            return [
+                {
+                    'ip': s.ip,
+                    'total_requests': s.total_requests,
+                    'first_seen': s.first_seen.isoformat(),
+                    'last_seen': s.last_seen.isoformat(),
+                    'country_code': s.country_code,
+                    'city': s.city,
+                    'asn': s.asn,
+                    'asn_org': s.asn_org,
+                    'reputation_score': s.reputation_score,
+                    'reputation_source': s.reputation_source
+                }
+                for s in stats
+            ]
+        finally:
+            self.close_session()
+
+
+# Module-level singleton instance
+_db_manager = DatabaseManager()
+
+
+def get_database() -> DatabaseManager:
+    """Get the database manager singleton instance."""
+    return _db_manager
+
+
+def initialize_database(database_path: str = "data/krawl.db") -> None:
+    """Initialize the database system."""
+    _db_manager.initialize(database_path)

src/handler.py

@@ -229,7 +229,7 @@ class Handler(BaseHTTPRequestHandler):
                 self.access_logger.warning(f"[CREDENTIALS CAPTURED] {client_ip} - Username: {username or 'N/A'} - Path: {self.path}")
 
         # send the post data (body) to the record_access function so the post data can be used to detect suspicious things.
-        self.tracker.record_access(client_ip, self.path, user_agent, post_data)
+        self.tracker.record_access(client_ip, self.path, user_agent, post_data, method='POST')
         
         time.sleep(1)
         
@@ -347,7 +347,7 @@ class Handler(BaseHTTPRequestHandler):
                 self.app_logger.error(f"Error generating dashboard: {e}")
             return
 
-        self.tracker.record_access(client_ip, self.path, user_agent)
+        self.tracker.record_access(client_ip, self.path, user_agent, method='GET')
 
         if self.tracker.is_suspicious_user_agent(user_agent):
             self.access_logger.warning(f"[SUSPICIOUS] {client_ip} - {user_agent[:50]} - {self.path}")

src/models.py

@@ -0,0 +1,141 @@
+#!/usr/bin/env python3
+
+"""
+SQLAlchemy ORM models for the Krawl honeypot database.
+Stores access logs, credential attempts, attack detections, and IP statistics.
+"""
+
+from datetime import datetime
+from typing import Optional, List
+
+from sqlalchemy import String, Integer, Boolean, DateTime, ForeignKey, Index
+from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
+
+from sanitizer import (
+    MAX_IP_LENGTH,
+    MAX_PATH_LENGTH,
+    MAX_USER_AGENT_LENGTH,
+    MAX_CREDENTIAL_LENGTH,
+    MAX_ATTACK_PATTERN_LENGTH,
+    MAX_CITY_LENGTH,
+    MAX_ASN_ORG_LENGTH,
+    MAX_REPUTATION_SOURCE_LENGTH,
+)
+
+
+class Base(DeclarativeBase):
+    """Base class for all ORM models."""
+    pass
+
+
+class AccessLog(Base):
+    """
+    Records all HTTP requests to the honeypot.
+
+    Stores request metadata, suspicious activity flags, and timestamps
+    for analysis and dashboard display.
+    """
+    __tablename__ = 'access_logs'
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    ip: Mapped[str] = mapped_column(String(MAX_IP_LENGTH), nullable=False, index=True)
+    path: Mapped[str] = mapped_column(String(MAX_PATH_LENGTH), nullable=False)
+    user_agent: Mapped[Optional[str]] = mapped_column(String(MAX_USER_AGENT_LENGTH), nullable=True)
+    method: Mapped[str] = mapped_column(String(10), nullable=False, default='GET')
+    is_suspicious: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    is_honeypot_trigger: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    timestamp: Mapped[datetime] = mapped_column(DateTime, nullable=False, default=datetime.utcnow, index=True)
+
+    # Relationship to attack detections
+    attack_detections: Mapped[List["AttackDetection"]] = relationship(
+        "AttackDetection",
+        back_populates="access_log",
+        cascade="all, delete-orphan"
+    )
+
+    # Composite index for common queries
+    __table_args__ = (
+        Index('ix_access_logs_ip_timestamp', 'ip', 'timestamp'),
+    )
+
+    def __repr__(self) -> str:
+        return f"<AccessLog(id={self.id}, ip='{self.ip}', path='{self.path[:50]}')>"
+
+
+class CredentialAttempt(Base):
+    """
+    Records captured login attempts from honeypot login forms.
+
+    Stores the submitted username and password along with request metadata.
+    """
+    __tablename__ = 'credential_attempts'
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    ip: Mapped[str] = mapped_column(String(MAX_IP_LENGTH), nullable=False, index=True)
+    path: Mapped[str] = mapped_column(String(MAX_PATH_LENGTH), nullable=False)
+    username: Mapped[Optional[str]] = mapped_column(String(MAX_CREDENTIAL_LENGTH), nullable=True)
+    password: Mapped[Optional[str]] = mapped_column(String(MAX_CREDENTIAL_LENGTH), nullable=True)
+    timestamp: Mapped[datetime] = mapped_column(DateTime, nullable=False, default=datetime.utcnow, index=True)
+
+    # Composite index for common queries
+    __table_args__ = (
+        Index('ix_credential_attempts_ip_timestamp', 'ip', 'timestamp'),
+    )
+
+    def __repr__(self) -> str:
+        return f"<CredentialAttempt(id={self.id}, ip='{self.ip}', username='{self.username}')>"
+
+
+class AttackDetection(Base):
+    """
+    Records detected attack patterns in requests.
+
+    Linked to the parent AccessLog record. Multiple attack types can be
+    detected in a single request.
+    """
+    __tablename__ = 'attack_detections'
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    access_log_id: Mapped[int] = mapped_column(
+        Integer,
+        ForeignKey('access_logs.id', ondelete='CASCADE'),
+        nullable=False,
+        index=True
+    )
+    attack_type: Mapped[str] = mapped_column(String(50), nullable=False)
+    matched_pattern: Mapped[Optional[str]] = mapped_column(String(MAX_ATTACK_PATTERN_LENGTH), nullable=True)
+
+    # Relationship back to access log
+    access_log: Mapped["AccessLog"] = relationship("AccessLog", back_populates="attack_detections")
+
+    def __repr__(self) -> str:
+        return f"<AttackDetection(id={self.id}, type='{self.attack_type}')>"
+
+
+class IpStats(Base):
+    """
+    Aggregated statistics per IP address.
+
+    Includes fields for future GeoIP and reputation enrichment.
+    Updated on each request from an IP.
+    """
+    __tablename__ = 'ip_stats'
+
+    ip: Mapped[str] = mapped_column(String(MAX_IP_LENGTH), primary_key=True)
+    total_requests: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
+    first_seen: Mapped[datetime] = mapped_column(DateTime, nullable=False, default=datetime.utcnow)
+    last_seen: Mapped[datetime] = mapped_column(DateTime, nullable=False, default=datetime.utcnow)
+
+    # GeoIP fields (populated by future enrichment)
+    country_code: Mapped[Optional[str]] = mapped_column(String(2), nullable=True)
+    city: Mapped[Optional[str]] = mapped_column(String(MAX_CITY_LENGTH), nullable=True)
+    asn: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
+    asn_org: Mapped[Optional[str]] = mapped_column(String(MAX_ASN_ORG_LENGTH), nullable=True)
+
+    # Reputation fields (populated by future enrichment)
+    reputation_score: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
+    reputation_source: Mapped[Optional[str]] = mapped_column(String(MAX_REPUTATION_SOURCE_LENGTH), nullable=True)
+    reputation_updated: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
+
+    def __repr__(self) -> str:
+        return f"<IpStats(ip='{self.ip}', total_requests={self.total_requests})>"

src/sanitizer.py

@@ -0,0 +1,113 @@
+#!/usr/bin/env python3
+
+"""
+Sanitization utilities for safe database storage and HTML output.
+Protects against SQL injection payloads, XSS, and storage exhaustion attacks.
+"""
+
+import html
+import re
+from typing import Optional
+
+
+# Field length limits for database storage
+MAX_IP_LENGTH = 45  # IPv6 max length
+MAX_PATH_LENGTH = 2048  # URL max practical length
+MAX_USER_AGENT_LENGTH = 512
+MAX_CREDENTIAL_LENGTH = 256
+MAX_ATTACK_PATTERN_LENGTH = 256
+MAX_CITY_LENGTH = 128
+MAX_ASN_ORG_LENGTH = 256
+MAX_REPUTATION_SOURCE_LENGTH = 64
+
+
+def sanitize_for_storage(value: Optional[str], max_length: int) -> str:
+    """
+    Sanitize and truncate string for safe database storage.
+
+    Removes null bytes and control characters that could cause issues
+    with database storage or log processing.
+
+    Args:
+        value: The string to sanitize
+        max_length: Maximum length to truncate to
+
+    Returns:
+        Sanitized and truncated string, empty string if input is None/empty
+    """
+    if not value:
+        return ""
+
+    # Convert to string if not already
+    value = str(value)
+
+    # Remove null bytes and control characters (except newline \n, tab \t, carriage return \r)
+    # Control chars are 0x00-0x1F and 0x7F, we keep 0x09 (tab), 0x0A (newline), 0x0D (carriage return)
+    cleaned = re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f]', '', value)
+
+    # Truncate to max length
+    return cleaned[:max_length]
+
+
+def sanitize_ip(value: Optional[str]) -> str:
+    """Sanitize IP address for storage."""
+    return sanitize_for_storage(value, MAX_IP_LENGTH)
+
+
+def sanitize_path(value: Optional[str]) -> str:
+    """Sanitize URL path for storage."""
+    return sanitize_for_storage(value, MAX_PATH_LENGTH)
+
+
+def sanitize_user_agent(value: Optional[str]) -> str:
+    """Sanitize user agent string for storage."""
+    return sanitize_for_storage(value, MAX_USER_AGENT_LENGTH)
+
+
+def sanitize_credential(value: Optional[str]) -> str:
+    """Sanitize username or password for storage."""
+    return sanitize_for_storage(value, MAX_CREDENTIAL_LENGTH)
+
+
+def sanitize_attack_pattern(value: Optional[str]) -> str:
+    """Sanitize matched attack pattern for storage."""
+    return sanitize_for_storage(value, MAX_ATTACK_PATTERN_LENGTH)
+
+
+def escape_html(value: Optional[str]) -> str:
+    """
+    Escape HTML special characters for safe display in web pages.
+
+    Prevents stored XSS attacks when displaying user-controlled data
+    in the dashboard.
+
+    Args:
+        value: The string to escape
+
+    Returns:
+        HTML-escaped string, empty string if input is None/empty
+    """
+    if not value:
+        return ""
+    return html.escape(str(value))
+
+
+def escape_html_truncated(value: Optional[str], max_display_length: int) -> str:
+    """
+    Escape HTML and truncate for display.
+
+    Args:
+        value: The string to escape and truncate
+        max_display_length: Maximum display length (truncation happens before escaping)
+
+    Returns:
+        HTML-escaped and truncated string
+    """
+    if not value:
+        return ""
+
+    value_str = str(value)
+    if len(value_str) > max_display_length:
+        value_str = value_str[:max_display_length] + "..."
+
+    return html.escape(value_str)

src/server.py

@@ -12,6 +12,7 @@ from config import Config
 from tracker import AccessTracker
 from handler import Handler
 from logger import initialize_logging, get_app_logger, get_access_logger, get_credential_logger
+from database import initialize_database
 
 
 def print_usage():
@@ -33,6 +34,8 @@ def print_usage():
     print('  PROBABILITY_ERROR_CODES - Probability (0-100) to return HTTP error codes (default: 0)')
     print('  CHAR_SPACE            - Characters for random links')
     print('  SERVER_HEADER         - HTTP Server header for deception (default: Apache/2.2.22 (Ubuntu))')
+    print('  DATABASE_PATH         - Path to SQLite database (default: data/krawl.db)')
+    print('  DATABASE_RETENTION_DAYS - Days to retain database records (default: 30)')
 
 
 def main():
@@ -49,6 +52,13 @@ def main():
 
     config = Config.from_env()
 
+    # Initialize database for persistent storage
+    try:
+        initialize_database(config.database_path)
+        app_logger.info(f'Database initialized at: {config.database_path}')
+    except Exception as e:
+        app_logger.warning(f'Database initialization failed: {e}. Continuing with in-memory only.')
+
     tracker = AccessTracker()
 
     Handler.config = config

src/templates/dashboard_template.py

@@ -5,49 +5,58 @@ Dashboard template for viewing honeypot statistics.
 Customize this template to change the dashboard appearance.
 """
 
+import html
+
+
+def _escape(value) -> str:
+    """Escape HTML special characters to prevent XSS attacks."""
+    if value is None:
+        return ""
+    return html.escape(str(value))
+
 
 def generate_dashboard(stats: dict) -> str:
     """Generate dashboard HTML with access statistics"""
     
-    # Generate IP rows
+    # Generate IP rows (IPs are generally safe but escape for consistency)
     top_ips_rows = '\n'.join([
-        f'<tr><td class="rank">{i+1}</td><td>{ip}</td><td>{count}</td></tr>'
+        f'<tr><td class="rank">{i+1}</td><td>{_escape(ip)}</td><td>{count}</td></tr>'
         for i, (ip, count) in enumerate(stats['top_ips'])
     ]) or '<tr><td colspan="3" style="text-align:center;">No data</td></tr>'
 
-    # Generate paths rows
+    # Generate paths rows (CRITICAL: paths can contain XSS payloads)
     top_paths_rows = '\n'.join([
-        f'<tr><td class="rank">{i+1}</td><td>{path}</td><td>{count}</td></tr>'
+        f'<tr><td class="rank">{i+1}</td><td>{_escape(path)}</td><td>{count}</td></tr>'
         for i, (path, count) in enumerate(stats['top_paths'])
     ]) or '<tr><td colspan="3" style="text-align:center;">No data</td></tr>'
 
-    # Generate User-Agent rows
+    # Generate User-Agent rows (CRITICAL: user agents can contain XSS payloads)
     top_ua_rows = '\n'.join([
-        f'<tr><td class="rank">{i+1}</td><td style="word-break: break-all;">{ua[:80]}</td><td>{count}</td></tr>'
+        f'<tr><td class="rank">{i+1}</td><td style="word-break: break-all;">{_escape(ua[:80])}</td><td>{count}</td></tr>'
         for i, (ua, count) in enumerate(stats['top_user_agents'])
     ]) or '<tr><td colspan="3" style="text-align:center;">No data</td></tr>'
 
-    # Generate suspicious accesses rows
+    # Generate suspicious accesses rows (CRITICAL: multiple user-controlled fields)
     suspicious_rows = '\n'.join([
-        f'<tr><td>{log["ip"]}</td><td>{log["path"]}</td><td style="word-break: break-all;">{log["user_agent"][:60]}</td><td>{log["timestamp"].split("T")[1][:8]}</td></tr>'
+        f'<tr><td>{_escape(log["ip"])}</td><td>{_escape(log["path"])}</td><td style="word-break: break-all;">{_escape(log["user_agent"][:60])}</td><td>{_escape(log["timestamp"].split("T")[1][:8])}</td></tr>'
         for log in stats['recent_suspicious'][-10:]
     ]) or '<tr><td colspan="4" style="text-align:center;">No suspicious activity detected</td></tr>'
 
     # Generate honeypot triggered IPs rows
     honeypot_rows = '\n'.join([
-        f'<tr><td>{ip}</td><td style="word-break: break-all;">{", ".join(paths)}</td><td>{len(paths)}</td></tr>'
+        f'<tr><td>{_escape(ip)}</td><td style="word-break: break-all;">{_escape(", ".join(paths))}</td><td>{len(paths)}</td></tr>'
         for ip, paths in stats.get('honeypot_triggered_ips', [])
     ]) or '<tr><td colspan="3" style="text-align:center;">No honeypot triggers yet</td></tr>'
 
-    # Generate attack types rows
+    # Generate attack types rows (CRITICAL: paths and user agents are user-controlled)
     attack_type_rows = '\n'.join([
-        f'<tr><td>{log["ip"]}</td><td>{log["path"]}</td><td>{", ".join(log["attack_types"])}</td><td style="word-break: break-all;">{log["user_agent"][:60]}</td><td>{log["timestamp"].split("T")[1][:8]}</td></tr>'
+        f'<tr><td>{_escape(log["ip"])}</td><td>{_escape(log["path"])}</td><td>{_escape(", ".join(log["attack_types"]))}</td><td style="word-break: break-all;">{_escape(log["user_agent"][:60])}</td><td>{_escape(log["timestamp"].split("T")[1][:8])}</td></tr>'
         for log in stats.get('attack_types', [])[-10:]
     ]) or '<tr><td colspan="4" style="text-align:center;">No attacks detected</td></tr>'
 
-    # Generate credential attempts rows
+    # Generate credential attempts rows (CRITICAL: usernames and passwords are user-controlled)
     credential_rows = '\n'.join([
-        f'<tr><td>{log["ip"]}</td><td>{log["username"]}</td><td>{log["password"]}</td><td>{log["path"]}</td><td>{log["timestamp"].split("T")[1][:8]}</td></tr>'
+        f'<tr><td>{_escape(log["ip"])}</td><td>{_escape(log["username"])}</td><td>{_escape(log["password"])}</td><td>{_escape(log["path"])}</td><td>{_escape(log["timestamp"].split("T")[1][:8])}</td></tr>'
         for log in stats.get('credential_attempts', [])[-20:]
     ]) or '<tr><td colspan="5" style="text-align:center;">No credentials captured yet</td></tr>'
 

src/tracker.py

@@ -1,15 +1,29 @@
 #!/usr/bin/env python3
 
-from typing import Dict, List, Tuple
+from typing import Dict, List, Tuple, Optional
 from collections import defaultdict
 from datetime import datetime
 import re
 import urllib.parse
 
+from database import get_database, DatabaseManager
+
 
 class AccessTracker:
-    """Track IP addresses and paths accessed"""
-    def __init__(self):
+    """
+    Track IP addresses and paths accessed.
+
+    Maintains in-memory structures for fast dashboard access and
+    persists data to SQLite for long-term storage and analysis.
+    """
+    def __init__(self, db_manager: Optional[DatabaseManager] = None):
+        """
+        Initialize the access tracker.
+
+        Args:
+            db_manager: Optional DatabaseManager for persistence.
+                        If None, will use the global singleton.
+        """
         self.ip_counts: Dict[str, int] = defaultdict(int)
         self.path_counts: Dict[str, int] = defaultdict(int)
         self.user_agent_counts: Dict[str, int] = defaultdict(int)
@@ -21,7 +35,7 @@ class AccessTracker:
             'burp', 'zap', 'w3af', 'metasploit', 'nuclei', 'gobuster', 'dirbuster'
         ]
 
-        # common attack types such as xss, shell injection, probes
+        # Common attack types such as xss, shell injection, probes
         self.attack_types = {
             'path_traversal': r'\.\.',
             'sql_injection': r"('|--|;|\bOR\b|\bUNION\b|\bSELECT\b|\bDROP\b)",
@@ -33,6 +47,25 @@ class AccessTracker:
         # Track IPs that accessed honeypot paths from robots.txt
         self.honeypot_triggered: Dict[str, List[str]] = defaultdict(list)
 
+        # Database manager for persistence (lazily initialized)
+        self._db_manager = db_manager
+
+    @property
+    def db(self) -> Optional[DatabaseManager]:
+        """
+        Get the database manager, lazily initializing if needed.
+
+        Returns:
+            DatabaseManager instance or None if not available
+        """
+        if self._db_manager is None:
+            try:
+                self._db_manager = get_database()
+            except Exception:
+                # Database not initialized, persistence disabled
+                pass
+        return self._db_manager
+
     def parse_credentials(self, post_data: str) -> Tuple[str, str]:
         """
         Parse username and password from POST data.
@@ -75,7 +108,12 @@ class AccessTracker:
         return username, password
 
     def record_credential_attempt(self, ip: str, path: str, username: str, password: str):
-        """Record a credential login attempt"""
+        """
+        Record a credential login attempt.
+
+        Stores in both in-memory list and SQLite database.
+        """
+        # In-memory storage for dashboard
         self.credential_attempts.append({
             'ip': ip,
             'path': path,
@@ -84,37 +122,89 @@ class AccessTracker:
             'timestamp': datetime.now().isoformat()
         })
 
-    def record_access(self, ip: str, path: str, user_agent: str = '', body: str = ''):
-        """Record an access attempt"""
+        # Persist to database
+        if self.db:
+            try:
+                self.db.persist_credential(
+                    ip=ip,
+                    path=path,
+                    username=username,
+                    password=password
+                )
+            except Exception:
+                # Don't crash if database persistence fails
+                pass
+
+    def record_access(
+        self,
+        ip: str,
+        path: str,
+        user_agent: str = '',
+        body: str = '',
+        method: str = 'GET'
+    ):
+        """
+        Record an access attempt.
+
+        Stores in both in-memory structures and SQLite database.
+
+        Args:
+            ip: Client IP address
+            path: Requested path
+            user_agent: Client user agent string
+            body: Request body (for POST/PUT)
+            method: HTTP method
+        """
         self.ip_counts[ip] += 1
         self.path_counts[path] += 1
         if user_agent:
             self.user_agent_counts[user_agent] += 1
-        
-        # path attack type detection
+
+        # Path attack type detection
         attack_findings = self.detect_attack_type(path)
 
-        # post / put data
+        # POST/PUT body attack detection
         if len(body) > 0:
             attack_findings.extend(self.detect_attack_type(body))
 
-        is_suspicious = self.is_suspicious_user_agent(user_agent) or self.is_honeypot_path(path) or len(attack_findings) > 0
+        is_suspicious = (
+            self.is_suspicious_user_agent(user_agent) or
+            self.is_honeypot_path(path) or
+            len(attack_findings) > 0
+        )
+        is_honeypot = self.is_honeypot_path(path)
 
-        
         # Track if this IP accessed a honeypot path
-        if self.is_honeypot_path(path):
+        if is_honeypot:
             self.honeypot_triggered[ip].append(path)
-        
+
+        # In-memory storage for dashboard
         self.access_log.append({
             'ip': ip,
             'path': path,
             'user_agent': user_agent,
             'suspicious': is_suspicious,
-            'honeypot_triggered': self.is_honeypot_path(path),
-            'attack_types':attack_findings,
+            'honeypot_triggered': is_honeypot,
+            'attack_types': attack_findings,
             'timestamp': datetime.now().isoformat()
         })
 
+        # Persist to database
+        if self.db:
+            try:
+                self.db.persist_access(
+                    ip=ip,
+                    path=path,
+                    user_agent=user_agent,
+                    method=method,
+                    is_suspicious=is_suspicious,
+                    is_honeypot_trigger=is_honeypot,
+                    attack_types=attack_findings if attack_findings else None
+                )
+            except Exception:
+                # Don't crash if database persistence fails
+                pass
+
     def detect_attack_type(self, data:str) -> list[str]:
         """
         Returns a list of all attack types found in path data