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Author SHA1 Message Date
overcuriousity
9f3b17e658 try_db 2025-09-14 22:54:37 +02:00
20 changed files with 1680 additions and 4665 deletions

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@ -29,6 +29,6 @@ MAX_CONCURRENT_REQUESTS=5
# The number of results from a provider that triggers the "large entity" grouping. # The number of results from a provider that triggers the "large entity" grouping.
LARGE_ENTITY_THRESHOLD=100 LARGE_ENTITY_THRESHOLD=100
# The number of times to retry a target if a provider fails. # The number of times to retry a target if a provider fails.
MAX_RETRIES_PER_TARGET=8 MAX_RETRIES_PER_TARGET=3
# How long cached provider responses are stored (in hours). # How long cached provider responses are stored (in hours).
CACHE_EXPIRY_HOURS=12 CACHE_EXPIRY_HOURS=12

1
.gitignore vendored
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@ -169,4 +169,3 @@ cython_debug/
#.idea/ #.idea/
dump.rdb dump.rdb
cache/

226
README.md
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@ -4,32 +4,28 @@ DNSRecon is an interactive, passive reconnaissance tool designed to map adversar
**Current Status: Phase 2 Implementation** **Current Status: Phase 2 Implementation**
* ✅ Core infrastructure and graph engine - ✅ Core infrastructure and graph engine
* ✅ Multi-provider support (crt.sh, DNS, Shodan) - ✅ Multi-provider support (crt.sh, DNS, Shodan)
* ✅ Session-based multi-user support - ✅ Session-based multi-user support
* ✅ Real-time web interface with interactive visualization - ✅ Real-time web interface with interactive visualization
* ✅ Forensic logging system and JSON export - ✅ Forensic logging system and JSON export
-----
## Features ## Features
* **Passive Reconnaissance**: Gathers data without direct contact with target infrastructure. - **Passive Reconnaissance**: Gathers data without direct contact with target infrastructure.
* **In-Memory Graph Analysis**: Uses NetworkX for efficient relationship mapping. - **In-Memory Graph Analysis**: Uses NetworkX for efficient relationship mapping.
* **Real-Time Visualization**: The graph updates dynamically as the scan progresses. - **Real-Time Visualization**: The graph updates dynamically as the scan progresses.
* **Forensic Logging**: A complete audit trail of all reconnaissance activities is maintained. - **Forensic Logging**: A complete audit trail of all reconnaissance activities is maintained.
* **Confidence Scoring**: Relationships are weighted based on the reliability of the data source. - **Confidence Scoring**: Relationships are weighted based on the reliability of the data source.
* **Session Management**: Supports concurrent user sessions with isolated scanner instances. - **Session Management**: Supports concurrent user sessions with isolated scanner instances.
-----
## Installation ## Installation
### Prerequisites ### Prerequisites
* Python 3.8 or higher - Python 3.8 or higher
* A modern web browser with JavaScript enabled - A modern web browser with JavaScript enabled
* (Recommended) A Linux host for running the application and the optional DNS cache. - (Recommended) A Linux host for running the application and the optional DNS cache.
### 1\. Clone the Project ### 1\. Clone the Project
@ -48,50 +44,156 @@ source venv/bin/activate
pip install -r requirements.txt pip install -r requirements.txt
``` ```
The `requirements.txt` file contains the following dependencies: ### 3\. (Optional but Recommended) Set up a Local DNS Caching Resolver
* Flask\>=2.3.3 Running a local DNS caching resolver can significantly speed up DNS queries and reduce your network footprint. Heres how to set up `unbound` on a Debian-based Linux distribution (like Ubuntu).
* networkx\>=3.1
* requests\>=2.31.0
* python-dateutil\>=2.8.2
* Werkzeug\>=2.3.7
* urllib3\>=2.0.0
* dnspython\>=2.4.2
* gunicorn
* redis
* python-dotenv
----- **a. Install Unbound:**
## Configuration
DNSRecon is configured using a `.env` file. You can copy the provided example file and edit it to suit your needs:
```bash ```bash
cp .env.example .env sudo apt update
sudo apt install unbound -y
``` ```
The following environment variables are available for configuration: **b. Configure Unbound:**
Create a new configuration file for DNSRecon:
| Variable | Description | Default | ```bash
| :--- | :--- | :--- | sudo nano /etc/unbound/unbound.conf.d/dnsrecon.conf
| `SHODAN_API_KEY` | Your Shodan API key. | | ```
| `FLASK_SECRET_KEY`| A strong, random secret key for session security. | `your-very-secret-and-random-key-here` |
| `FLASK_HOST` | The host address for the Flask application. | `127.0.0.1` |
| `FLASK_PORT` | The port for the Flask application. | `5000` |
| `FLASK_DEBUG` | Enable or disable Flask's debug mode. | `True` |
| `FLASK_PERMANENT_SESSION_LIFETIME_HOURS`| How long a user's session in the browser lasts (in hours). | `2` |
| `SESSION_TIMEOUT_MINUTES` | How long inactive scanner data is stored in Redis (in minutes). | `60` |
| `DEFAULT_RECURSION_DEPTH` | The default number of levels to recurse when scanning. | `2` |
| `DEFAULT_TIMEOUT` | Default timeout for provider API requests in seconds. | `30` |
| `MAX_CONCURRENT_REQUESTS`| The number of concurrent provider requests to make. | `5` |
| `LARGE_ENTITY_THRESHOLD`| The number of results from a provider that triggers the "large entity" grouping. | `100` |
| `MAX_RETRIES_PER_TARGET`| The number of times to retry a target if a provider fails. | `8` |
| `CACHE_EXPIRY_HOURS`| How long cached provider responses are stored (in hours). | `12` |
----- Add the following content to the file:
## Systemd Service ```
server:
# Listen on localhost for all users
interface: 127.0.0.1
access-control: 0.0.0.0/0 refuse
access-control: 127.0.0.0/8 allow
# Enable prefetching of popular items
prefetch: yes
```
**c. Restart Unbound and set it as the default resolver:**
```bash
sudo systemctl restart unbound
sudo systemctl enable unbound
```
To use this resolver for your system, you may need to update your network settings to point to `127.0.0.1` as your DNS server.
**d. Update DNSProvider to use the local resolver:**
In `dnsrecon/providers/dns_provider.py`, you can explicitly set the resolver's nameservers in the `__init__` method:
```python
# dnsrecon/providers/dns_provider.py
class DNSProvider(BaseProvider):
def __init__(self, session_config=None):
"""Initialize DNS provider with session-specific configuration."""
super().__init__(...)
# Configure DNS resolver
self.resolver = dns.resolver.Resolver()
self.resolver.nameservers = ['127.0.0.1'] # Use local caching resolver
self.resolver.timeout = 5
self.resolver.lifetime = 10
```
## Usage (Development)
### 1\. Start the Application
```bash
python app.py
```
### 2\. Open Your Browser
Navigate to `http://127.0.0.1:5000`.
### 3\. Basic Reconnaissance Workflow
1. **Enter Target Domain**: Input a domain like `example.com`.
2. **Select Recursion Depth**: Depth 2 is recommended for most investigations.
3. **Start Reconnaissance**: Click "Start Reconnaissance" to begin.
4. **Monitor Progress**: Watch the real-time graph build as relationships are discovered.
5. **Analyze and Export**: Interact with the graph and download the results when the scan is complete.
## Production Deployment
To deploy DNSRecon in a production environment, follow these steps:
### 1\. Use a Production WSGI Server
Do not use the built-in Flask development server for production. Use a WSGI server like **Gunicorn**:
```bash
pip install gunicorn
gunicorn --workers 4 --bind 0.0.0.0:5000 app:app
```
### 2\. Configure Environment Variables
Set the following environment variables for a secure and configurable deployment:
```bash
# Generate a strong, random secret key
export SECRET_KEY='your-super-secret-and-random-key'
# Set Flask to production mode
export FLASK_ENV='production'
export FLASK_DEBUG=False
# API keys (optional, but recommended for full functionality)
export SHODAN_API_KEY="your_shodan_key"
```
### 3\. Use a Reverse Proxy
Set up a reverse proxy like **Nginx** to sit in front of the Gunicorn server. This provides several benefits, including:
- **TLS/SSL Termination**: Securely handle HTTPS traffic.
- **Load Balancing**: Distribute traffic across multiple application instances.
- **Serving Static Files**: Efficiently serve CSS and JavaScript files.
**Example Nginx Configuration:**
```nginx
server {
listen 80;
server_name your_domain.com;
location / {
return 301 https://$host$request_uri;
}
}
server {
listen 443 ssl;
server_name your_domain.com;
# SSL cert configuration
ssl_certificate /etc/letsencrypt/live/your_domain.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/your_domain.com/privkey.pem;
location / {
proxy_pass http://127.0.0.1:5000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
location /static {
alias /path/to/your/dnsrecon/static;
expires 30d;
}
}
```
## Autostart with systemd
To run DNSRecon as a service that starts automatically on boot, you can use `systemd`. To run DNSRecon as a service that starts automatically on boot, you can use `systemd`.
@ -143,18 +245,12 @@ You can check the status of the service at any time with:
sudo systemctl status dnsrecon.service sudo systemctl status dnsrecon.service
``` ```
----- ## Security Considerations
- **API Keys**: API keys are stored in memory for the duration of a user session and are not written to disk.
- **Rate Limiting**: DNSRecon includes built-in rate limiting to be respectful to data sources.
- **Local Use**: The application is designed for local or trusted network use and does not have built-in authentication. **Do not expose it directly to the internet without proper security controls.**
## License ## License
This project is licensed under the terms of the **BSD-3-Clause** license. This project is licensed under the terms of the license agreement found in the `LICENSE` file.
Copyright (c) 2025 mstoeck3.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

128
app.py
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@ -13,8 +13,6 @@ import io
from core.session_manager import session_manager from core.session_manager import session_manager
from config import config from config import config
from core.graph_manager import NodeType
from utils.helpers import is_valid_target
app = Flask(__name__) app = Flask(__name__)
@ -66,21 +64,18 @@ def start_scan():
try: try:
data = request.get_json() data = request.get_json()
if not data or 'target' not in data: if not data or 'target_domain' not in data:
return jsonify({'success': False, 'error': 'Missing target in request'}), 400 return jsonify({'success': False, 'error': 'Missing target_domain in request'}), 400
target = data['target'].strip() target_domain = data['target_domain'].strip()
max_depth = data.get('max_depth', config.default_recursion_depth) max_depth = data.get('max_depth', config.default_recursion_depth)
clear_graph = data.get('clear_graph', True) clear_graph = data.get('clear_graph', True)
force_rescan_target = data.get('force_rescan_target', None) # **FIX**: Get the new parameter
print(f"Parsed - target: '{target}', max_depth: {max_depth}, clear_graph: {clear_graph}, force_rescan: {force_rescan_target}") print(f"Parsed - target_domain: '{target_domain}', max_depth: {max_depth}, clear_graph: {clear_graph}")
# Validation # Validation
if not target: if not target_domain:
return jsonify({'success': False, 'error': 'Target cannot be empty'}), 400 return jsonify({'success': False, 'error': 'Target domain cannot be empty'}), 400
if not is_valid_target(target):
return jsonify({'success': False, 'error': 'Invalid target format. Please enter a valid domain or IP address.'}), 400
if not isinstance(max_depth, int) or not 1 <= max_depth <= 5: if not isinstance(max_depth, int) or not 1 <= max_depth <= 5:
return jsonify({'success': False, 'error': 'Max depth must be an integer between 1 and 5'}), 400 return jsonify({'success': False, 'error': 'Max depth must be an integer between 1 and 5'}), 400
@ -105,7 +100,7 @@ def start_scan():
print(f"Using scanner {id(scanner)} in session {user_session_id}") print(f"Using scanner {id(scanner)} in session {user_session_id}")
success = scanner.start_scan(target, max_depth, clear_graph=clear_graph, force_rescan_target=force_rescan_target) # **FIX**: Pass the new parameter success = scanner.start_scan(target_domain, max_depth, clear_graph=clear_graph)
if success: if success:
return jsonify({ return jsonify({
@ -124,7 +119,7 @@ def start_scan():
print(f"ERROR: Exception in start_scan endpoint: {e}") print(f"ERROR: Exception in start_scan endpoint: {e}")
traceback.print_exc() traceback.print_exc()
return jsonify({'success': False, 'error': f'Internal server error: {str(e)}'}), 500 return jsonify({'success': False, 'error': f'Internal server error: {str(e)}'}), 500
@app.route('/api/scan/stop', methods=['POST']) @app.route('/api/scan/stop', methods=['POST'])
def stop_scan(): def stop_scan():
"""Stop the current scan with immediate GUI feedback.""" """Stop the current scan with immediate GUI feedback."""
@ -282,108 +277,6 @@ def get_graph_data():
} }
}), 500 }), 500
@app.route('/api/graph/large-entity/extract', methods=['POST'])
def extract_from_large_entity():
"""Extract a node from a large entity, making it a standalone node."""
try:
data = request.get_json()
large_entity_id = data.get('large_entity_id')
node_id = data.get('node_id')
if not large_entity_id or not node_id:
return jsonify({'success': False, 'error': 'Missing required parameters'}), 400
user_session_id, scanner = get_user_scanner()
if not scanner:
return jsonify({'success': False, 'error': 'No active session found'}), 404
success = scanner.extract_node_from_large_entity(large_entity_id, node_id)
if success:
session_manager.update_session_scanner(user_session_id, scanner)
return jsonify({'success': True, 'message': f'Node {node_id} extracted successfully.'})
else:
return jsonify({'success': False, 'error': f'Failed to extract node {node_id}.'}), 500
except Exception as e:
print(f"ERROR: Exception in extract_from_large_entity endpoint: {e}")
traceback.print_exc()
return jsonify({'success': False, 'error': f'Internal server error: {str(e)}'}), 500
@app.route('/api/graph/node/<node_id>', methods=['DELETE'])
def delete_graph_node(node_id):
"""Delete a node from the graph for the current user session."""
try:
user_session_id, scanner = get_user_scanner()
if not scanner:
return jsonify({'success': False, 'error': 'No active session found'}), 404
success = scanner.graph.remove_node(node_id)
if success:
# Persist the change
session_manager.update_session_scanner(user_session_id, scanner)
return jsonify({'success': True, 'message': f'Node {node_id} deleted successfully.'})
else:
return jsonify({'success': False, 'error': f'Node {node_id} not found in graph.'}), 404
except Exception as e:
print(f"ERROR: Exception in delete_graph_node endpoint: {e}")
traceback.print_exc()
return jsonify({'success': False, 'error': f'Internal server error: {str(e)}'}), 500
@app.route('/api/graph/revert', methods=['POST'])
def revert_graph_action():
"""Reverts a graph action, such as re-adding a deleted node."""
try:
data = request.get_json()
if not data or 'type' not in data or 'data' not in data:
return jsonify({'success': False, 'error': 'Invalid revert request format'}), 400
user_session_id, scanner = get_user_scanner()
if not scanner:
return jsonify({'success': False, 'error': 'No active session found'}), 404
action_type = data['type']
action_data = data['data']
if action_type == 'delete':
# Re-add the node
node_to_add = action_data.get('node')
if node_to_add:
scanner.graph.add_node(
node_id=node_to_add['id'],
node_type=NodeType(node_to_add['type']),
attributes=node_to_add.get('attributes'),
description=node_to_add.get('description'),
metadata=node_to_add.get('metadata')
)
# Re-add the edges
edges_to_add = action_data.get('edges', [])
for edge in edges_to_add:
# Add edge only if both nodes exist to prevent errors
if scanner.graph.graph.has_node(edge['from']) and scanner.graph.graph.has_node(edge['to']):
scanner.graph.add_edge(
source_id=edge['from'],
target_id=edge['to'],
relationship_type=edge['metadata']['relationship_type'],
confidence_score=edge['metadata']['confidence_score'],
source_provider=edge['metadata']['source_provider'],
raw_data=edge.get('raw_data', {})
)
# Persist the change
session_manager.update_session_scanner(user_session_id, scanner)
return jsonify({'success': True, 'message': 'Delete action reverted successfully.'})
return jsonify({'success': False, 'error': f'Unknown revert action type: {action_type}'}), 400
except Exception as e:
print(f"ERROR: Exception in revert_graph_action endpoint: {e}")
traceback.print_exc()
return jsonify({'success': False, 'error': f'Internal server error: {str(e)}'}), 500
@app.route('/api/export', methods=['GET']) @app.route('/api/export', methods=['GET'])
@ -437,10 +330,9 @@ def get_providers():
user_session_id, scanner = get_user_scanner() user_session_id, scanner = get_user_scanner()
if scanner: if scanner:
# Updated debug print to be consistent with the new progress bar logic
completed_tasks = scanner.indicators_completed completed_tasks = scanner.indicators_completed
total_tasks = scanner.total_tasks_ever_enqueued enqueued_tasks = len(scanner.task_queue)
print(f"DEBUG: Task Progress - Completed: {completed_tasks}, Total Enqueued: {total_tasks}") print(f"DEBUG: Tasks - Completed: {completed_tasks}, Enqueued: {enqueued_tasks}")
else: else:
print("DEBUG: No active scanner session found.") print("DEBUG: No active scanner session found.")

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@ -1,5 +1,3 @@
# dnsrecon-reduced/config.py
""" """
Configuration management for DNSRecon tool. Configuration management for DNSRecon tool.
Handles API key storage, rate limiting, and default settings. Handles API key storage, rate limiting, and default settings.
@ -21,10 +19,10 @@ class Config:
# --- General Settings --- # --- General Settings ---
self.default_recursion_depth = 2 self.default_recursion_depth = 2
self.default_timeout = 30 self.default_timeout = 15
self.max_concurrent_requests = 5 self.max_concurrent_requests = 5
self.large_entity_threshold = 100 self.large_entity_threshold = 100
self.max_retries_per_target = 8 self.max_retries_per_target = 3
self.cache_expiry_hours = 12 self.cache_expiry_hours = 12
# --- Provider Caching Settings --- # --- Provider Caching Settings ---
@ -32,7 +30,7 @@ class Config:
# --- Rate Limiting (requests per minute) --- # --- Rate Limiting (requests per minute) ---
self.rate_limits = { self.rate_limits = {
'crtsh': 5, 'crtsh': 30,
'shodan': 60, 'shodan': 60,
'dns': 100 'dns': 100
} }

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@ -413,53 +413,6 @@ class GraphManager:
raw_data=raw_data or {}) raw_data=raw_data or {})
self.last_modified = datetime.now(timezone.utc).isoformat() self.last_modified = datetime.now(timezone.utc).isoformat()
return True return True
def extract_node_from_large_entity(self, large_entity_id: str, node_id_to_extract: str) -> bool:
"""
Removes a node from a large entity's internal lists and updates its count.
This prepares the large entity for the node's promotion to a regular node.
"""
if not self.graph.has_node(large_entity_id):
return False
node_data = self.graph.nodes[large_entity_id]
attributes = node_data.get('attributes', {})
# Remove from the list of member nodes
if 'nodes' in attributes and node_id_to_extract in attributes['nodes']:
attributes['nodes'].remove(node_id_to_extract)
# Update the count
attributes['count'] = len(attributes['nodes'])
else:
# This can happen if the node was already extracted, which is not an error.
print(f"Warning: Node {node_id_to_extract} not found in the 'nodes' list of {large_entity_id}.")
return True # Proceed as if successful
self.last_modified = datetime.now(timezone.utc).isoformat()
return True
def remove_node(self, node_id: str) -> bool:
"""Remove a node and its connected edges from the graph."""
if not self.graph.has_node(node_id):
return False
# Remove node from the graph (NetworkX handles removing connected edges)
self.graph.remove_node(node_id)
# Clean up the correlation index
keys_to_delete = []
for value, nodes in self.correlation_index.items():
if node_id in nodes:
del nodes[node_id]
if not nodes: # If no other nodes are associated with this value, remove it
keys_to_delete.append(value)
for key in keys_to_delete:
if key in self.correlation_index:
del self.correlation_index[key]
self.last_modified = datetime.now(timezone.utc).isoformat()
return True
def get_node_count(self) -> int: def get_node_count(self) -> int:
"""Get total number of nodes in the graph.""" """Get total number of nodes in the graph."""

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@ -50,7 +50,7 @@ class ForensicLogger:
session_id: Unique identifier for this reconnaissance session session_id: Unique identifier for this reconnaissance session
""" """
self.session_id = session_id or self._generate_session_id() self.session_id = session_id or self._generate_session_id()
self.lock = threading.Lock() #self.lock = threading.Lock()
# Initialize audit trail storage # Initialize audit trail storage
self.api_requests: List[APIRequest] = [] self.api_requests: List[APIRequest] = []
@ -86,8 +86,6 @@ class ForensicLogger:
# Remove the unpickleable 'logger' attribute # Remove the unpickleable 'logger' attribute
if 'logger' in state: if 'logger' in state:
del state['logger'] del state['logger']
if 'lock' in state:
del state['lock']
return state return state
def __setstate__(self, state): def __setstate__(self, state):
@ -103,7 +101,6 @@ class ForensicLogger:
console_handler = logging.StreamHandler() console_handler = logging.StreamHandler()
console_handler.setFormatter(formatter) console_handler.setFormatter(formatter)
self.logger.addHandler(console_handler) self.logger.addHandler(console_handler)
self.lock = threading.Lock()
def _generate_session_id(self) -> str: def _generate_session_id(self) -> str:
"""Generate unique session identifier.""" """Generate unique session identifier."""

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@ -1,29 +0,0 @@
# dnsrecon-reduced/core/rate_limiter.py
import time
import redis
class GlobalRateLimiter:
def __init__(self, redis_client):
self.redis = redis_client
def is_rate_limited(self, key, limit, period):
"""
Check if a key is rate-limited.
"""
now = time.time()
key = f"rate_limit:{key}"
# Remove old timestamps
self.redis.zremrangebyscore(key, 0, now - period)
# Check the count
count = self.redis.zcard(key)
if count >= limit:
return True
# Add new timestamp
self.redis.zadd(key, {now: now})
self.redis.expire(key, period)
return False

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@ -1,22 +1,20 @@
# dnsrecon-reduced/core/scanner.py # dnsrecon/core/scanner.py
import threading import threading
import traceback import traceback
import time import time
import os import os
import importlib import importlib
import redis
from typing import List, Set, Dict, Any, Tuple, Optional from typing import List, Set, Dict, Any, Tuple, Optional
from concurrent.futures import ThreadPoolExecutor, as_completed, CancelledError, Future from concurrent.futures import ThreadPoolExecutor, as_completed, CancelledError, Future
from collections import defaultdict from collections import defaultdict, deque
from queue import PriorityQueue
from datetime import datetime, timezone from datetime import datetime, timezone
from core.graph_manager import GraphManager, NodeType from core.graph_manager import GraphManager, NodeType
from core.logger import get_forensic_logger, new_session from core.logger import get_forensic_logger, new_session
from utils.helpers import _is_valid_ip, _is_valid_domain from utils.helpers import _is_valid_ip, _is_valid_domain
from providers.base_provider import BaseProvider from providers.base_provider import BaseProvider
from core.rate_limiter import GlobalRateLimiter
class ScanStatus: class ScanStatus:
"""Enumeration of scan statuses.""" """Enumeration of scan statuses."""
@ -52,7 +50,7 @@ class Scanner:
self.stop_event = threading.Event() self.stop_event = threading.Event()
self.scan_thread = None self.scan_thread = None
self.session_id: Optional[str] = None # Will be set by session manager self.session_id: Optional[str] = None # Will be set by session manager
self.task_queue = PriorityQueue() self.task_queue = deque([])
self.target_retries = defaultdict(int) self.target_retries = defaultdict(int)
self.scan_failed_due_to_retries = False self.scan_failed_due_to_retries = False
@ -65,7 +63,6 @@ class Scanner:
self.indicators_processed = 0 self.indicators_processed = 0
self.indicators_completed = 0 self.indicators_completed = 0
self.tasks_re_enqueued = 0 self.tasks_re_enqueued = 0
self.total_tasks_ever_enqueued = 0
self.current_indicator = "" self.current_indicator = ""
# Concurrent processing configuration # Concurrent processing configuration
@ -79,9 +76,6 @@ class Scanner:
# Initialize logger # Initialize logger
print("Initializing forensic logger...") print("Initializing forensic logger...")
self.logger = get_forensic_logger() self.logger = get_forensic_logger()
# Initialize global rate limiter
self.rate_limiter = GlobalRateLimiter(redis.StrictRedis(db=0))
print("Scanner initialization complete") print("Scanner initialization complete")
@ -135,10 +129,7 @@ class Scanner:
'stop_event', 'stop_event',
'scan_thread', 'scan_thread',
'executor', 'executor',
'processing_lock', 'processing_lock' # **NEW**: Exclude the processing lock
'task_queue',
'rate_limiter',
'logger'
] ]
for attr in unpicklable_attrs: for attr in unpicklable_attrs:
@ -147,6 +138,7 @@ class Scanner:
# Handle providers separately to ensure they're picklable # Handle providers separately to ensure they're picklable
if 'providers' in state: if 'providers' in state:
# The providers should be picklable now, but let's ensure clean state
for provider in state['providers']: for provider in state['providers']:
if hasattr(provider, '_stop_event'): if hasattr(provider, '_stop_event'):
provider._stop_event = None provider._stop_event = None
@ -161,15 +153,9 @@ class Scanner:
self.stop_event = threading.Event() self.stop_event = threading.Event()
self.scan_thread = None self.scan_thread = None
self.executor = None self.executor = None
self.processing_lock = threading.Lock() self.processing_lock = threading.Lock() # **NEW**: Recreate processing lock
self.task_queue = PriorityQueue()
self.rate_limiter = GlobalRateLimiter(redis.StrictRedis(db=0))
self.logger = get_forensic_logger()
if not hasattr(self, 'providers') or not self.providers:
print("Providers not found after loading session, re-initializing...")
self._initialize_providers()
# **NEW**: Reset processing tracking
if not hasattr(self, 'currently_processing'): if not hasattr(self, 'currently_processing'):
self.currently_processing = set() self.currently_processing = set()
@ -218,12 +204,11 @@ class Scanner:
self._initialize_providers() self._initialize_providers()
print("Session configuration updated") print("Session configuration updated")
def start_scan(self, target: str, max_depth: int = 2, clear_graph: bool = True, force_rescan_target: Optional[str] = None) -> bool: def start_scan(self, target_domain: str, max_depth: int = 2, clear_graph: bool = True) -> bool:
"""Start a new reconnaissance scan with proper cleanup of previous scans.""" """Start a new reconnaissance scan with proper cleanup of previous scans."""
print(f"=== STARTING SCAN IN SCANNER {id(self)} ===") print(f"=== STARTING SCAN IN SCANNER {id(self)} ===")
print(f"Session ID: {self.session_id}") print(f"Session ID: {self.session_id}")
print(f"Initial scanner status: {self.status}") print(f"Initial scanner status: {self.status}")
self.total_tasks_ever_enqueued = 0
# **IMPROVED**: More aggressive cleanup of previous scan # **IMPROVED**: More aggressive cleanup of previous scan
if self.scan_thread and self.scan_thread.is_alive(): if self.scan_thread and self.scan_thread.is_alive():
@ -236,7 +221,7 @@ class Scanner:
# Clear all processing state # Clear all processing state
with self.processing_lock: with self.processing_lock:
self.currently_processing.clear() self.currently_processing.clear()
self.task_queue = PriorityQueue() self.task_queue.clear()
# Shutdown executor aggressively # Shutdown executor aggressively
if self.executor: if self.executor:
@ -266,7 +251,7 @@ class Scanner:
with self.processing_lock: with self.processing_lock:
self.currently_processing.clear() self.currently_processing.clear()
self.task_queue = PriorityQueue() self.task_queue.clear()
self.target_retries.clear() self.target_retries.clear()
self.scan_failed_due_to_retries = False self.scan_failed_due_to_retries = False
@ -283,14 +268,7 @@ class Scanner:
if clear_graph: if clear_graph:
self.graph.clear() self.graph.clear()
self.current_target = target_domain.lower().strip()
if force_rescan_target and self.graph.graph.has_node(force_rescan_target):
print(f"Forcing rescan of {force_rescan_target}, clearing provider states.")
node_data = self.graph.graph.nodes[force_rescan_target]
if 'metadata' in node_data and 'provider_states' in node_data['metadata']:
node_data['metadata']['provider_states'] = {}
self.current_target = target.lower().strip()
self.max_depth = max_depth self.max_depth = max_depth
self.current_depth = 0 self.current_depth = 0
@ -326,119 +304,95 @@ class Scanner:
self._update_session_state() self._update_session_state()
return False return False
def _get_priority(self, provider_name): def _execute_scan(self, target_domain: str, max_depth: int) -> None:
rate_limit = self.config.get_rate_limit(provider_name)
if rate_limit > 90:
return 1 # Highest priority
elif rate_limit > 50:
return 2
else:
return 3 # Lowest priority
def _execute_scan(self, target: str, max_depth: int) -> None:
"""Execute the reconnaissance scan with proper termination handling.""" """Execute the reconnaissance scan with proper termination handling."""
print(f"_execute_scan started for {target} with depth {max_depth}") print(f"_execute_scan started for {target_domain} with depth {max_depth}")
self.executor = ThreadPoolExecutor(max_workers=self.max_workers) self.executor = ThreadPoolExecutor(max_workers=self.max_workers)
processed_tasks = set() processed_targets = set()
# Initial task population for the main target self.task_queue.append((target_domain, 0, False))
is_ip = _is_valid_ip(target)
initial_providers = self._get_eligible_providers(target, is_ip, False)
for provider in initial_providers:
provider_name = provider.get_name()
self.task_queue.put((self._get_priority(provider_name), (provider_name, target, 0)))
self.total_tasks_ever_enqueued += 1
try: try:
self.status = ScanStatus.RUNNING self.status = ScanStatus.RUNNING
self._update_session_state() self._update_session_state()
enabled_providers = [provider.get_name() for provider in self.providers] enabled_providers = [provider.get_name() for provider in self.providers]
self.logger.log_scan_start(target, max_depth, enabled_providers) self.logger.log_scan_start(target_domain, max_depth, enabled_providers)
self.graph.add_node(target_domain, NodeType.DOMAIN)
self._initialize_provider_states(target_domain)
# Determine initial node type # **IMPROVED**: Better termination checking in main loop
node_type = NodeType.IP if is_ip else NodeType.DOMAIN while self.task_queue and not self._is_stop_requested():
self.graph.add_node(target, node_type)
self._initialize_provider_states(target)
# Better termination checking in main loop
while not self.task_queue.empty() and not self._is_stop_requested():
try: try:
priority, (provider_name, target_item, depth) = self.task_queue.get() target, depth, is_large_entity_member = self.task_queue.popleft()
except IndexError: except IndexError:
# Queue became empty during processing # Queue became empty during processing
break break
task_tuple = (provider_name, target_item) if target in processed_targets:
if task_tuple in processed_tasks:
continue continue
if depth > max_depth: if depth > max_depth:
continue continue
if self.rate_limiter.is_rate_limited(provider_name, self.config.get_rate_limit(provider_name), 60): # **NEW**: Track this target as currently processing
self.task_queue.put((priority + 1, (provider_name, target_item, depth))) # Postpone
continue
with self.processing_lock: with self.processing_lock:
if self._is_stop_requested(): if self._is_stop_requested():
print(f"Stop requested before processing {target_item}") print(f"Stop requested before processing {target}")
break break
self.currently_processing.add(target_item) self.currently_processing.add(target)
try: try:
self.current_depth = depth self.current_depth = depth
self.current_indicator = target_item self.current_indicator = target
self._update_session_state() self._update_session_state()
# **IMPROVED**: More frequent stop checking during processing
if self._is_stop_requested(): if self._is_stop_requested():
print(f"Stop requested during processing setup for {target_item}") print(f"Stop requested during processing setup for {target}")
break break
provider = next((p for p in self.providers if p.get_name() == provider_name), None) new_targets, large_entity_members, success = self._query_providers_for_target(target, depth, is_large_entity_member)
if provider: # **NEW**: Check stop signal after provider queries
new_targets, large_entity_members, success = self._query_single_provider_for_target(provider, target_item, depth) if self._is_stop_requested():
print(f"Stop requested after querying providers for {target}")
if self._is_stop_requested(): break
print(f"Stop requested after querying providers for {target_item}")
break if not success:
self.target_retries[target] += 1
if not success: if self.target_retries[target] <= self.config.max_retries_per_target:
self.target_retries[task_tuple] += 1 print(f"Re-queueing target {target} (attempt {self.target_retries[target]})")
if self.target_retries[task_tuple] <= self.config.max_retries_per_target: self.task_queue.append((target, depth, is_large_entity_member))
print(f"Re-queueing task {task_tuple} (attempt {self.target_retries[task_tuple]})") self.tasks_re_enqueued += 1
self.task_queue.put((priority, (provider_name, target_item, depth)))
self.tasks_re_enqueued += 1
self.total_tasks_ever_enqueued += 1
else:
print(f"ERROR: Max retries exceeded for task {task_tuple}")
self.scan_failed_due_to_retries = True
self._log_target_processing_error(str(task_tuple), "Max retries exceeded")
else: else:
processed_tasks.add(task_tuple) print(f"ERROR: Max retries exceeded for target {target}")
self.indicators_completed += 1 self.scan_failed_due_to_retries = True
self._log_target_processing_error(target, "Max retries exceeded")
if not self._is_stop_requested(): else:
all_new_targets = new_targets.union(large_entity_members) processed_targets.add(target)
for new_target in all_new_targets: self.indicators_completed += 1
is_ip_new = _is_valid_ip(new_target)
eligible_providers_new = self._get_eligible_providers(new_target, is_ip_new, False) # **NEW**: Only add new targets if not stopped
for p_new in eligible_providers_new: if not self._is_stop_requested():
p_name_new = p_new.get_name() for new_target in new_targets:
if (p_name_new, new_target) not in processed_tasks: if new_target not in processed_targets:
new_depth = depth + 1 if new_target in new_targets else depth self.task_queue.append((new_target, depth + 1, False))
self.task_queue.put((self._get_priority(p_name_new), (p_name_new, new_target, new_depth)))
self.total_tasks_ever_enqueued += 1 for member in large_entity_members:
if member not in processed_targets:
self.task_queue.append((member, depth, True))
finally: finally:
# **NEW**: Always remove from processing set
with self.processing_lock: with self.processing_lock:
self.currently_processing.discard(target_item) self.currently_processing.discard(target)
# **NEW**: Log termination reason
if self._is_stop_requested(): if self._is_stop_requested():
print("Scan terminated due to stop request") print("Scan terminated due to stop request")
self.logger.logger.info("Scan terminated by user request") self.logger.logger.info("Scan terminated by user request")
elif self.task_queue.empty(): elif not self.task_queue:
print("Scan completed - no more targets to process") print("Scan completed - no more targets to process")
self.logger.logger.info("Scan completed - all targets processed") self.logger.logger.info("Scan completed - all targets processed")
@ -448,16 +402,17 @@ class Scanner:
self.status = ScanStatus.FAILED self.status = ScanStatus.FAILED
self.logger.logger.error(f"Scan failed: {e}") self.logger.logger.error(f"Scan failed: {e}")
finally: finally:
# **NEW**: Clear processing state on exit
with self.processing_lock: with self.processing_lock:
self.currently_processing.clear() self.currently_processing.clear()
if self._is_stop_requested(): if self._is_stop_requested():
self.status = ScanStatus.STOPPED self.status = ScanStatus.STOPPED
elif self.scan_failed_due_to_retries: elif self.scan_failed_due_to_retries:
self.status = ScanStatus.FAILED self.status = ScanStatus.FAILED
else: else:
self.status = ScanStatus.COMPLETED self.status = ScanStatus.COMPLETED
self._update_session_state() self._update_session_state()
self.logger.log_scan_complete() self.logger.log_scan_complete()
if self.executor: if self.executor:
@ -467,43 +422,60 @@ class Scanner:
print("Final scan statistics:") print("Final scan statistics:")
print(f" - Total nodes: {stats['basic_metrics']['total_nodes']}") print(f" - Total nodes: {stats['basic_metrics']['total_nodes']}")
print(f" - Total edges: {stats['basic_metrics']['total_edges']}") print(f" - Total edges: {stats['basic_metrics']['total_edges']}")
print(f" - Tasks processed: {len(processed_tasks)}") print(f" - Targets processed: {len(processed_targets)}")
def _query_single_provider_for_target(self, provider: BaseProvider, target: str, depth: int) -> Tuple[Set[str], Set[str], bool]: def _query_providers_for_target(self, target: str, depth: int, dns_only: bool = False) -> Tuple[Set[str], Set[str], bool]:
"""Query providers for a single target with enhanced stop checking."""
# **NEW**: Early termination check
if self._is_stop_requested(): if self._is_stop_requested():
print(f"Stop requested before querying {provider.get_name()} for {target}") print(f"Stop requested before querying providers for {target}")
return set(), set(), False return set(), set(), False
is_ip = _is_valid_ip(target) is_ip = _is_valid_ip(target)
target_type = NodeType.IP if is_ip else NodeType.DOMAIN target_type = NodeType.IP if is_ip else NodeType.DOMAIN
print(f"Querying {provider.get_name()} for {target_type.value}: {target} at depth {depth}") print(f"Querying providers for {target_type.value}: {target} at depth {depth}")
self.graph.add_node(target, target_type) self.graph.add_node(target, target_type)
self._initialize_provider_states(target) self._initialize_provider_states(target)
new_targets = set() new_targets = set()
large_entity_members = set() large_entity_members = set()
node_attributes = defaultdict(lambda: defaultdict(list)) node_attributes = defaultdict(lambda: defaultdict(list))
provider_successful = True all_providers_successful = True
try: eligible_providers = self._get_eligible_providers(target, is_ip, dns_only)
provider_results = self._query_single_provider_forensic(provider, target, is_ip, depth)
if provider_results is None: if not eligible_providers:
provider_successful = False self._log_no_eligible_providers(target, is_ip)
elif not self._is_stop_requested(): return new_targets, large_entity_members, True
discovered, is_large_entity = self._process_provider_results(
target, provider, provider_results, node_attributes, depth # **IMPROVED**: Check stop signal before each provider
) for i, provider in enumerate(eligible_providers):
if is_large_entity: if self._is_stop_requested():
large_entity_members.update(discovered) print(f"Stop requested while querying provider {i+1}/{len(eligible_providers)} for {target}")
all_providers_successful = False
break
try:
provider_results = self._query_single_provider_forensic(provider, target, is_ip, depth)
if provider_results is None:
all_providers_successful = False
elif not self._is_stop_requested():
discovered, is_large_entity = self._process_provider_results_forensic(
target, provider, provider_results, node_attributes, depth
)
if is_large_entity:
large_entity_members.update(discovered)
else:
new_targets.update(discovered)
else: else:
new_targets.update(discovered) print(f"Stop requested after processing results from {provider.get_name()}")
else: break
print(f"Stop requested after processing results from {provider.get_name()}") except Exception as e:
except Exception as e: all_providers_successful = False
provider_successful = False self._log_provider_error(target, provider.get_name(), str(e))
self._log_provider_error(target, provider.get_name(), str(e))
# **NEW**: Only update node attributes if not stopped
if not self._is_stop_requested(): if not self._is_stop_requested():
for node_id, attributes in node_attributes.items(): for node_id, attributes in node_attributes.items():
if self.graph.graph.has_node(node_id): if self.graph.graph.has_node(node_id):
@ -511,7 +483,7 @@ class Scanner:
node_type_to_add = NodeType.IP if node_is_ip else NodeType.DOMAIN node_type_to_add = NodeType.IP if node_is_ip else NodeType.DOMAIN
self.graph.add_node(node_id, node_type_to_add, attributes=attributes) self.graph.add_node(node_id, node_type_to_add, attributes=attributes)
return new_targets, large_entity_members, provider_successful return new_targets, large_entity_members, all_providers_successful
def stop_scan(self) -> bool: def stop_scan(self) -> bool:
"""Request immediate scan termination with proper cleanup.""" """Request immediate scan termination with proper cleanup."""
@ -530,10 +502,8 @@ class Scanner:
print(f"Cleared {len(currently_processing_copy)} currently processing targets: {currently_processing_copy}") print(f"Cleared {len(currently_processing_copy)} currently processing targets: {currently_processing_copy}")
# **IMPROVED**: Clear task queue and log what was discarded # **IMPROVED**: Clear task queue and log what was discarded
discarded_tasks = [] discarded_tasks = list(self.task_queue)
while not self.task_queue.empty(): self.task_queue.clear()
discarded_tasks.append(self.task_queue.get())
self.task_queue = PriorityQueue()
print(f"Discarded {len(discarded_tasks)} pending tasks") print(f"Discarded {len(discarded_tasks)} pending tasks")
# **IMPROVED**: Aggressively shut down executor # **IMPROVED**: Aggressively shut down executor
@ -589,12 +559,11 @@ class Scanner:
'indicators_completed': self.indicators_completed, 'indicators_completed': self.indicators_completed,
'tasks_re_enqueued': self.tasks_re_enqueued, 'tasks_re_enqueued': self.tasks_re_enqueued,
'progress_percentage': self._calculate_progress(), 'progress_percentage': self._calculate_progress(),
'total_tasks_ever_enqueued': self.total_tasks_ever_enqueued,
'enabled_providers': [provider.get_name() for provider in self.providers], 'enabled_providers': [provider.get_name() for provider in self.providers],
'graph_statistics': self.graph.get_statistics(), 'graph_statistics': self.graph.get_statistics(),
'task_queue_size': self.task_queue.qsize(), 'task_queue_size': len(self.task_queue),
'currently_processing_count': currently_processing_count, 'currently_processing_count': currently_processing_count, # **NEW**
'currently_processing': currently_processing_list[:5] 'currently_processing': currently_processing_list[:5] # **NEW**: Show first 5 for debugging
} }
except Exception as e: except Exception as e:
print(f"ERROR: Exception in get_scan_status: {e}") print(f"ERROR: Exception in get_scan_status: {e}")
@ -711,7 +680,7 @@ class Scanner:
self.logger.logger.info(f"Provider state updated: {target} -> {provider_name} -> {status} ({results_count} results)") self.logger.logger.info(f"Provider state updated: {target} -> {provider_name} -> {status} ({results_count} results)")
def _process_provider_results(self, target: str, provider, results: List, def _process_provider_results_forensic(self, target: str, provider, results: List,
node_attributes: Dict, current_depth: int) -> Tuple[Set[str], bool]: node_attributes: Dict, current_depth: int) -> Tuple[Set[str], bool]:
"""Process provider results, returns (discovered_targets, is_large_entity).""" """Process provider results, returns (discovered_targets, is_large_entity)."""
provider_name = provider.get_name() provider_name = provider.get_name()
@ -741,14 +710,8 @@ class Scanner:
discovery_method=f"{provider_name}_query_depth_{current_depth}" discovery_method=f"{provider_name}_query_depth_{current_depth}"
) )
# Collect attributes for the source node
self._collect_node_attributes(source, provider_name, rel_type, rel_target, raw_data, node_attributes[source]) self._collect_node_attributes(source, provider_name, rel_type, rel_target, raw_data, node_attributes[source])
# If the relationship is asn_membership, collect attributes for the target ASN node
if rel_type == 'asn_membership':
self._collect_node_attributes(rel_target, provider_name, rel_type, source, raw_data, node_attributes[rel_target])
if isinstance(rel_target, list): if isinstance(rel_target, list):
# If the target is a list, iterate and process each item # If the target is a list, iterate and process each item
for single_target in rel_target: for single_target in rel_target:
@ -800,7 +763,6 @@ class Scanner:
elif _is_valid_ip(targets[0]): elif _is_valid_ip(targets[0]):
node_type = 'ip' node_type = 'ip'
# We still create the nodes so they exist in the graph, they are just not processed for edges yet.
for target in targets: for target in targets:
self.graph.add_node(target, NodeType.DOMAIN if node_type == 'domain' else NodeType.IP) self.graph.add_node(target, NodeType.DOMAIN if node_type == 'domain' else NodeType.IP)
@ -826,73 +788,6 @@ class Scanner:
return set(targets) return set(targets)
def extract_node_from_large_entity(self, large_entity_id: str, node_id_to_extract: str) -> bool:
"""
Extracts a node from a large entity, re-creates its original edge, and
re-queues it for full scanning.
"""
if not self.graph.graph.has_node(large_entity_id):
print(f"ERROR: Large entity {large_entity_id} not found.")
return False
# 1. Get the original source node that discovered the large entity
predecessors = list(self.graph.graph.predecessors(large_entity_id))
if not predecessors:
print(f"ERROR: No source node found for large entity {large_entity_id}.")
return False
source_node_id = predecessors[0]
# Get the original edge data to replicate it for the extracted node
original_edge_data = self.graph.graph.get_edge_data(source_node_id, large_entity_id)
if not original_edge_data:
print(f"ERROR: Could not find original edge data from {source_node_id} to {large_entity_id}.")
return False
# 2. Modify the graph data structure first
success = self.graph.extract_node_from_large_entity(large_entity_id, node_id_to_extract)
if not success:
print(f"ERROR: Node {node_id_to_extract} could not be removed from {large_entity_id}'s attributes.")
return False
# 3. Create the direct edge from the original source to the newly extracted node
print(f"Re-creating direct edge from {source_node_id} to extracted node {node_id_to_extract}")
self.graph.add_edge(
source_id=source_node_id,
target_id=node_id_to_extract,
relationship_type=original_edge_data.get('relationship_type', 'extracted_from_large_entity'),
confidence_score=original_edge_data.get('confidence_score', 0.85), # Slightly lower confidence
source_provider=original_edge_data.get('source_provider', 'unknown'),
raw_data={'context': f'Extracted from large entity {large_entity_id}'}
)
# 4. Re-queue the extracted node for full processing by all eligible providers
print(f"Re-queueing extracted node {node_id_to_extract} for full reconnaissance...")
is_ip = _is_valid_ip(node_id_to_extract)
current_depth = self.graph.graph.nodes[large_entity_id].get('attributes', {}).get('discovery_depth', 0)
eligible_providers = self._get_eligible_providers(node_id_to_extract, is_ip, False)
for provider in eligible_providers:
provider_name = provider.get_name()
self.task_queue.put((self._get_priority(provider_name), (provider_name, node_id_to_extract, current_depth)))
self.total_tasks_ever_enqueued += 1
# 5. If the scanner is not running, we need to kickstart it to process this one item.
if self.status != ScanStatus.RUNNING:
print("Scanner is idle. Starting a mini-scan to process the extracted node.")
self.status = ScanStatus.RUNNING
self._update_session_state()
if not self.scan_thread or not self.scan_thread.is_alive():
self.scan_thread = threading.Thread(
target=self._execute_scan,
args=(self.current_target, self.max_depth),
daemon=True
)
self.scan_thread.start()
print(f"Successfully extracted and re-queued {node_id_to_extract} from {large_entity_id}.")
return True
def _collect_node_attributes(self, node_id: str, provider_name: str, rel_type: str, def _collect_node_attributes(self, node_id: str, provider_name: str, rel_type: str,
target: str, raw_data: Dict[str, Any], attributes: Dict[str, Any]) -> None: target: str, raw_data: Dict[str, Any], attributes: Dict[str, Any]) -> None:
"""Collect and organize attributes for a node.""" """Collect and organize attributes for a node."""
@ -915,22 +810,18 @@ class Scanner:
attributes.setdefault('related_domains_san', []).append(target) attributes.setdefault('related_domains_san', []).append(target)
elif provider_name == 'shodan': elif provider_name == 'shodan':
# This logic will now apply to the correct node (ASN or IP)
shodan_attributes = attributes.setdefault('shodan', {}) shodan_attributes = attributes.setdefault('shodan', {})
for key, value in raw_data.items(): for key, value in raw_data.items():
if key not in shodan_attributes or not shodan_attributes.get(key): if key not in shodan_attributes or not shodan_attributes.get(key):
shodan_attributes[key] = value shodan_attributes[key] = value
if _is_valid_ip(node_id):
if 'ports' in raw_data:
attributes['ports'] = raw_data['ports']
if 'os' in raw_data and raw_data['os']:
attributes['os'] = raw_data['os']
if rel_type == "asn_membership": if rel_type == "asn_membership":
# This is the key change: these attributes are for the target (the ASN), attributes['asn'] = {
# not the source (the IP). We will add them to the ASN node later. 'id': target,
pass 'description': raw_data.get('org', ''),
'isp': raw_data.get('isp', ''),
'country': raw_data.get('country', '')
}
record_type_name = rel_type record_type_name = rel_type
if record_type_name not in attributes: if record_type_name not in attributes:
@ -957,9 +848,10 @@ class Scanner:
def _calculate_progress(self) -> float: def _calculate_progress(self) -> float:
"""Calculate scan progress percentage based on task completion.""" """Calculate scan progress percentage based on task completion."""
if self.total_tasks_ever_enqueued == 0: total_tasks = self.indicators_completed + len(self.task_queue)
if total_tasks == 0:
return 0.0 return 0.0
return min(100.0, (self.indicators_completed / self.total_tasks_ever_enqueued) * 100) return min(100.0, (self.indicators_completed / total_tasks) * 100)
def get_graph_data(self) -> Dict[str, Any]: def get_graph_data(self) -> Dict[str, Any]:
"""Get current graph data for visualization.""" """Get current graph data for visualization."""

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@ -3,15 +3,14 @@ Data provider modules for DNSRecon.
Contains implementations for various reconnaissance data sources. Contains implementations for various reconnaissance data sources.
""" """
from .base_provider import BaseProvider from .base_provider import BaseProvider, RateLimiter
from .crtsh_provider import CrtShProvider from .crtsh_provider import CrtShProvider
from .dns_provider import DNSProvider from .dns_provider import DNSProvider
from .shodan_provider import ShodanProvider from .shodan_provider import ShodanProvider
from core.rate_limiter import GlobalRateLimiter
__all__ = [ __all__ = [
'BaseProvider', 'BaseProvider',
'GlobalRateLimiter', 'RateLimiter',
'CrtShProvider', 'CrtShProvider',
'DNSProvider', 'DNSProvider',
'ShodanProvider' 'ShodanProvider'

View File

@ -7,7 +7,40 @@ from abc import ABC, abstractmethod
from typing import List, Dict, Any, Optional, Tuple from typing import List, Dict, Any, Optional, Tuple
from core.logger import get_forensic_logger from core.logger import get_forensic_logger
from core.rate_limiter import GlobalRateLimiter
class RateLimiter:
"""Simple rate limiter for API calls."""
def __init__(self, requests_per_minute: int):
"""
Initialize rate limiter.
Args:
requests_per_minute: Maximum requests allowed per minute
"""
self.requests_per_minute = requests_per_minute
self.min_interval = 60.0 / requests_per_minute
self.last_request_time = 0
def __getstate__(self):
"""RateLimiter is fully picklable, return full state."""
return self.__dict__.copy()
def __setstate__(self, state):
"""Restore RateLimiter state."""
self.__dict__.update(state)
def wait_if_needed(self) -> None:
"""Wait if necessary to respect rate limits."""
current_time = time.time()
time_since_last = current_time - self.last_request_time
if time_since_last < self.min_interval:
sleep_time = self.min_interval - time_since_last
time.sleep(sleep_time)
self.last_request_time = time.time()
class BaseProvider(ABC): class BaseProvider(ABC):
@ -35,9 +68,11 @@ class BaseProvider(ABC):
# Fallback to global config for backwards compatibility # Fallback to global config for backwards compatibility
from config import config as global_config from config import config as global_config
self.config = global_config self.config = global_config
actual_rate_limit = rate_limit
actual_timeout = timeout actual_timeout = timeout
self.name = name self.name = name
self.rate_limiter = RateLimiter(actual_rate_limit)
self.timeout = actual_timeout self.timeout = actual_timeout
self._local = threading.local() self._local = threading.local()
self.logger = get_forensic_logger() self.logger = get_forensic_logger()
@ -137,6 +172,8 @@ class BaseProvider(ABC):
print(f"Request cancelled before start: {url}") print(f"Request cancelled before start: {url}")
return None return None
self.rate_limiter.wait_if_needed()
start_time = time.time() start_time = time.time()
response = None response = None
error = None error = None
@ -260,5 +297,5 @@ class BaseProvider(ABC):
'failed_requests': self.failed_requests, 'failed_requests': self.failed_requests,
'success_rate': (self.successful_requests / self.total_requests * 100) if self.total_requests > 0 else 0, 'success_rate': (self.successful_requests / self.total_requests * 100) if self.total_requests > 0 else 0,
'relationships_found': self.total_relationships_found, 'relationships_found': self.total_relationships_found,
'rate_limit': self.config.get_rate_limit(self.name) 'rate_limit': self.rate_limiter.requests_per_minute
} }

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@ -1,20 +1,15 @@
# dnsrecon/providers/shodan_provider.py # dnsrecon/providers/shodan_provider.py
import json import json
import os
from pathlib import Path
from typing import List, Dict, Any, Tuple from typing import List, Dict, Any, Tuple
from datetime import datetime, timezone
import requests
from .base_provider import BaseProvider from .base_provider import BaseProvider
from utils.helpers import _is_valid_ip, _is_valid_domain from utils.helpers import _is_valid_ip, _is_valid_domain
class ShodanProvider(BaseProvider): class ShodanProvider(BaseProvider):
""" """
Provider for querying Shodan API for IP address information. Provider for querying Shodan API for IP address and hostname information.
Now uses session-specific API keys, is limited to IP-only queries, and includes caching. Now uses session-specific API keys.
""" """
def __init__(self, name=None, session_config=None): def __init__(self, name=None, session_config=None):
@ -27,10 +22,6 @@ class ShodanProvider(BaseProvider):
) )
self.base_url = "https://api.shodan.io" self.base_url = "https://api.shodan.io"
self.api_key = self.config.get_api_key('shodan') self.api_key = self.config.get_api_key('shodan')
# Initialize cache directory
self.cache_dir = Path('cache') / 'shodan'
self.cache_dir.mkdir(parents=True, exist_ok=True)
def is_available(self) -> bool: def is_available(self) -> bool:
"""Check if Shodan provider is available (has valid API key in this session).""" """Check if Shodan provider is available (has valid API key in this session)."""
@ -42,7 +33,7 @@ class ShodanProvider(BaseProvider):
def get_display_name(self) -> str: def get_display_name(self) -> str:
"""Return the provider display name for the UI.""" """Return the provider display name for the UI."""
return "Shodan" return "shodan"
def requires_api_key(self) -> bool: def requires_api_key(self) -> bool:
"""Return True if the provider requires an API key.""" """Return True if the provider requires an API key."""
@ -50,150 +41,267 @@ class ShodanProvider(BaseProvider):
def get_eligibility(self) -> Dict[str, bool]: def get_eligibility(self) -> Dict[str, bool]:
"""Return a dictionary indicating if the provider can query domains and/or IPs.""" """Return a dictionary indicating if the provider can query domains and/or IPs."""
return {'domains': False, 'ips': True} return {'domains': True, 'ips': True}
def _get_cache_file_path(self, ip: str) -> Path:
"""Generate cache file path for an IP address."""
safe_ip = ip.replace('.', '_').replace(':', '_')
return self.cache_dir / f"{safe_ip}.json"
def _get_cache_status(self, cache_file_path: Path) -> str:
"""
Check cache status for an IP.
Returns: 'not_found', 'fresh', or 'stale'
"""
if not cache_file_path.exists():
return "not_found"
try:
with open(cache_file_path, 'r') as f:
cache_data = json.load(f)
last_query_str = cache_data.get("last_upstream_query")
if not last_query_str:
return "stale"
last_query = datetime.fromisoformat(last_query_str.replace('Z', '+00:00'))
hours_since_query = (datetime.now(timezone.utc) - last_query).total_seconds() / 3600
cache_timeout = self.config.cache_timeout_hours
if hours_since_query < cache_timeout:
return "fresh"
else:
return "stale"
except (json.JSONDecodeError, ValueError, KeyError):
return "stale"
def query_domain(self, domain: str) -> List[Tuple[str, str, str, float, Dict[str, Any]]]: def query_domain(self, domain: str) -> List[Tuple[str, str, str, float, Dict[str, Any]]]:
""" """
Domain queries are no longer supported for the Shodan provider. Query Shodan for information about a domain.
Uses Shodan's hostname search to find associated IPs.
Args:
domain: Domain to investigate
Returns:
List of relationships discovered from Shodan data
""" """
return [] if not _is_valid_domain(domain) or not self.is_available():
return []
relationships = []
try:
# Search for hostname in Shodan
search_query = f"hostname:{domain}"
url = f"{self.base_url}/shodan/host/search"
params = {
'key': self.api_key,
'query': search_query,
'minify': True # Get minimal data to reduce bandwidth
}
response = self.make_request(url, method="GET", params=params, target_indicator=domain)
if not response or response.status_code != 200:
return []
data = response.json()
if 'matches' not in data:
return []
# Process search results
for match in data['matches']:
ip_address = match.get('ip_str')
hostnames = match.get('hostnames', [])
if ip_address and domain in hostnames:
raw_data = {
'ip_address': ip_address,
'hostnames': hostnames,
'country': match.get('location', {}).get('country_name', ''),
'city': match.get('location', {}).get('city', ''),
'isp': match.get('isp', ''),
'org': match.get('org', ''),
'ports': match.get('ports', []),
'last_update': match.get('last_update', '')
}
relationships.append((
domain,
ip_address,
'a_record', # Domain resolves to IP
0.8,
raw_data
))
self.log_relationship_discovery(
source_node=domain,
target_node=ip_address,
relationship_type='a_record',
confidence_score=0.8,
raw_data=raw_data,
discovery_method="shodan_hostname_search"
)
# Also create relationships to other hostnames on the same IP
for hostname in hostnames:
if hostname != domain and _is_valid_domain(hostname):
hostname_raw_data = {
'shared_ip': ip_address,
'all_hostnames': hostnames,
'discovery_context': 'shared_hosting'
}
relationships.append((
domain,
hostname,
'passive_dns', # Shared hosting relationship
0.6, # Lower confidence for shared hosting
hostname_raw_data
))
self.log_relationship_discovery(
source_node=domain,
target_node=hostname,
relationship_type='passive_dns',
confidence_score=0.6,
raw_data=hostname_raw_data,
discovery_method="shodan_shared_hosting"
)
except json.JSONDecodeError as e:
self.logger.logger.error(f"Failed to parse JSON response from Shodan: {e}")
return relationships
def query_ip(self, ip: str) -> List[Tuple[str, str, str, float, Dict[str, Any]]]: def query_ip(self, ip: str) -> List[Tuple[str, str, str, float, Dict[str, Any]]]:
""" """
Query Shodan for information about an IP address, with caching of processed relationships. Query Shodan for information about an IP address.
Args:
ip: IP address to investigate
Returns:
List of relationships discovered from Shodan IP data
""" """
if not _is_valid_ip(ip) or not self.is_available(): if not _is_valid_ip(ip) or not self.is_available():
return [] return []
cache_file = self._get_cache_file_path(ip)
cache_status = self._get_cache_status(cache_file)
relationships = []
try:
if cache_status == "fresh":
relationships = self._load_from_cache(cache_file)
self.logger.logger.info(f"Using cached Shodan relationships for {ip}")
else: # "stale" or "not_found"
url = f"{self.base_url}/shodan/host/{ip}"
params = {'key': self.api_key}
response = self.make_request(url, method="GET", params=params, target_indicator=ip)
if response and response.status_code == 200:
data = response.json()
# Process the data into relationships BEFORE caching
relationships = self._process_shodan_data(ip, data)
self._save_to_cache(cache_file, relationships) # Save the processed relationships
elif cache_status == "stale":
# If API fails on a stale cache, use the old data
relationships = self._load_from_cache(cache_file)
except requests.exceptions.RequestException as e:
self.logger.logger.error(f"Shodan API query failed for {ip}: {e}")
if cache_status == "stale":
relationships = self._load_from_cache(cache_file)
return relationships
def _load_from_cache(self, cache_file_path: Path) -> List[Tuple[str, str, str, float, Dict[str, Any]]]:
"""Load processed Shodan relationships from a cache file."""
try:
with open(cache_file_path, 'r') as f:
cache_content = json.load(f)
# The entire file content is the list of relationships
return cache_content.get("relationships", [])
except (json.JSONDecodeError, FileNotFoundError, KeyError):
return []
def _save_to_cache(self, cache_file_path: Path, relationships: List[Tuple[str, str, str, float, Dict[str, Any]]]) -> None:
"""Save processed Shodan relationships to a cache file."""
try:
cache_data = {
"last_upstream_query": datetime.now(timezone.utc).isoformat(),
"relationships": relationships
}
with open(cache_file_path, 'w') as f:
json.dump(cache_data, f, separators=(',', ':'))
except Exception as e:
self.logger.logger.warning(f"Failed to save Shodan cache for {cache_file_path.name}: {e}")
def _process_shodan_data(self, ip: str, data: Dict[str, Any]) -> List[Tuple[str, str, str, float, Dict[str, Any]]]:
"""
Process Shodan data to extract relationships.
"""
relationships = [] relationships = []
# Extract hostname relationships try:
hostnames = data.get('hostnames', []) # Query Shodan host information
for hostname in hostnames: url = f"{self.base_url}/shodan/host/{ip}"
if _is_valid_domain(hostname): params = {'key': self.api_key}
response = self.make_request(url, method="GET", params=params, target_indicator=ip)
if not response or response.status_code != 200:
return []
data = response.json()
# Extract hostname relationships
hostnames = data.get('hostnames', [])
for hostname in hostnames:
if _is_valid_domain(hostname):
raw_data = {
'ip_address': ip,
'hostname': hostname,
'country': data.get('country_name', ''),
'city': data.get('city', ''),
'isp': data.get('isp', ''),
'org': data.get('org', ''),
'asn': data.get('asn', ''),
'ports': data.get('ports', []),
'last_update': data.get('last_update', ''),
'os': data.get('os', '')
}
relationships.append((
ip,
hostname,
'a_record', # IP resolves to hostname
0.8,
raw_data
))
self.log_relationship_discovery(
source_node=ip,
target_node=hostname,
relationship_type='a_record',
confidence_score=0.8,
raw_data=raw_data,
discovery_method="shodan_host_lookup"
)
# Extract ASN relationship if available
asn = data.get('asn')
if asn:
# Ensure the ASN starts with "AS"
if isinstance(asn, str) and asn.startswith('AS'):
asn_name = asn
asn_number = asn[2:]
else:
asn_name = f"AS{asn}"
asn_number = str(asn)
asn_raw_data = {
'ip_address': ip,
'asn': asn_number,
'isp': data.get('isp', ''),
'org': data.get('org', '')
}
relationships.append(( relationships.append((
ip, ip,
hostname, asn_name,
'a_record', 'asn_membership',
0.8, 0.7,
data asn_raw_data
)) ))
self.log_relationship_discovery( self.log_relationship_discovery(
source_node=ip, source_node=ip,
target_node=hostname, target_node=asn_name,
relationship_type='a_record', relationship_type='asn_membership',
confidence_score=0.8, confidence_score=0.7,
raw_data=data, raw_data=asn_raw_data,
discovery_method="shodan_host_lookup" discovery_method="shodan_asn_lookup"
) )
# Extract ASN relationship except json.JSONDecodeError as e:
asn = data.get('asn') self.logger.logger.error(f"Failed to parse JSON response from Shodan: {e}")
if asn:
asn_name = f"AS{asn[2:]}" if isinstance(asn, str) and asn.startswith('AS') else f"AS{asn}" return relationships
relationships.append((
ip, def search_by_organization(self, org_name: str) -> List[Dict[str, Any]]:
asn_name, """
'asn_membership', Search Shodan for hosts belonging to a specific organization.
0.7,
data Args:
)) org_name: Organization name to search for
self.log_relationship_discovery(
source_node=ip, Returns:
target_node=asn_name, List of host information dictionaries
relationship_type='asn_membership', """
confidence_score=0.7, if not self.is_available():
raw_data=data, return []
discovery_method="shodan_asn_lookup"
) try:
search_query = f"org:\"{org_name}\""
return relationships url = f"{self.base_url}/shodan/host/search"
params = {
'key': self.api_key,
'query': search_query,
'minify': True
}
response = self.make_request(url, method="GET", params=params, target_indicator=org_name)
if response and response.status_code == 200:
data = response.json()
return data.get('matches', [])
except Exception as e:
self.logger.logger.error(f"Error searching Shodan by organization {org_name}: {e}")
return []
def get_host_services(self, ip: str) -> List[Dict[str, Any]]:
"""
Get service information for a specific IP address.
Args:
ip: IP address to query
Returns:
List of service information dictionaries
"""
if not _is_valid_ip(ip) or not self.is_available():
return []
try:
url = f"{self.base_url}/shodan/host/{ip}"
params = {'key': self.api_key}
response = self.make_request(url, method="GET", params=params, target_indicator=ip)
if response and response.status_code == 200:
data = response.json()
return data.get('data', []) # Service banners
except Exception as e:
self.logger.logger.error(f"Error getting Shodan services for IP {ip}: {e}")
return []

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@ -7,4 +7,5 @@ urllib3>=2.0.0
dnspython>=2.4.2 dnspython>=2.4.2
gunicorn gunicorn
redis redis
python-dotenv python-dotenv
psycopg2-binary

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@ -1,57 +1,7 @@
/** /**
* Graph visualization module for DNSRecon * Graph visualization module for DNSRecon
* Handles network graph rendering using vis.js with proper large entity node hiding * Handles network graph rendering using vis.js
*/ */
const contextMenuCSS = `
.graph-context-menu {
position: fixed;
z-index: 1000;
background: linear-gradient(135deg, #2a2a2a 0%, #1e1e1e 100%);
border: 1px solid #444;
border-radius: 6px;
box-shadow: 0 8px 25px rgba(0,0,0,0.6);
display: none;
font-family: 'Roboto Mono', monospace;
font-size: 0.9rem;
color: #c7c7c7;
min-width: 180px;
overflow: hidden;
}
.graph-context-menu ul {
list-style: none;
padding: 0.5rem 0;
margin: 0;
}
.graph-context-menu ul li {
padding: 0.75rem 1rem;
cursor: pointer;
transition: all 0.2s ease;
display: flex;
align-items: center;
gap: 0.5rem;
}
.graph-context-menu ul li:hover {
background: linear-gradient(135deg, #3a3a3a 0%, #2e2e2e 100%);
color: #00ff41;
}
.graph-context-menu .menu-icon {
font-size: 0.9rem;
width: 1.2rem;
text-align: center;
}
.graph-context-menu ul li:first-child {
border-top: none;
}
.graph-context-menu ul li:last-child {
border-bottom: none;
}
`;
class GraphManager { class GraphManager {
constructor(containerId) { constructor(containerId) {
@ -62,13 +12,6 @@ class GraphManager {
this.isInitialized = false; this.isInitialized = false;
this.currentLayout = 'physics'; this.currentLayout = 'physics';
this.nodeInfoPopup = null; this.nodeInfoPopup = null;
this.contextMenu = null;
this.history = [];
this.filterPanel = null;
this.initialTargetIds = new Set();
// Track large entity members for proper hiding
this.largeEntityMembers = new Set();
this.isScanning = false;
this.options = { this.options = {
nodes: { nodes: {
@ -172,14 +115,8 @@ class GraphManager {
randomSeed: 2 randomSeed: 2
} }
}; };
if (typeof document !== 'undefined') {
const style = document.createElement('style');
style.textContent = contextMenuCSS;
document.head.appendChild(style);
}
this.createNodeInfoPopup(); this.createNodeInfoPopup();
this.createContextMenu();
document.body.addEventListener('click', () => this.hideContextMenu());
} }
/** /**
@ -191,30 +128,6 @@ class GraphManager {
this.nodeInfoPopup.style.display = 'none'; this.nodeInfoPopup.style.display = 'none';
document.body.appendChild(this.nodeInfoPopup); document.body.appendChild(this.nodeInfoPopup);
} }
/**
* Create context menu
*/
createContextMenu() {
// Remove existing context menu if it exists
const existing = document.getElementById('graph-context-menu');
if (existing) {
existing.remove();
}
this.contextMenu = document.createElement('div');
this.contextMenu.id = 'graph-context-menu';
this.contextMenu.className = 'graph-context-menu';
this.contextMenu.style.display = 'none';
// Prevent body click listener from firing when clicking the menu itself
this.contextMenu.addEventListener('click', (event) => {
event.stopPropagation();
});
document.body.appendChild(this.contextMenu);
console.log('Context menu created and added to body');
}
/** /**
* Initialize the network graph * Initialize the network graph
@ -242,7 +155,6 @@ class GraphManager {
// Add graph controls // Add graph controls
this.addGraphControls(); this.addGraphControls();
this.addFilterPanel();
console.log('Graph initialized successfully'); console.log('Graph initialized successfully');
} catch (error) { } catch (error) {
@ -261,8 +173,6 @@ class GraphManager {
<button class="graph-control-btn" id="graph-fit" title="Fit to Screen">[FIT]</button> <button class="graph-control-btn" id="graph-fit" title="Fit to Screen">[FIT]</button>
<button class="graph-control-btn" id="graph-physics" title="Toggle Physics">[PHYSICS]</button> <button class="graph-control-btn" id="graph-physics" title="Toggle Physics">[PHYSICS]</button>
<button class="graph-control-btn" id="graph-cluster" title="Cluster Nodes">[CLUSTER]</button> <button class="graph-control-btn" id="graph-cluster" title="Cluster Nodes">[CLUSTER]</button>
<button class="graph-control-btn" id="graph-unhide" title="Unhide All">[UNHIDE]</button>
<button class="graph-control-btn" id="graph-revert" title="Revert Last Action">[REVERT]</button>
`; `;
this.container.appendChild(controlsContainer); this.container.appendChild(controlsContainer);
@ -271,14 +181,6 @@ class GraphManager {
document.getElementById('graph-fit').addEventListener('click', () => this.fitView()); document.getElementById('graph-fit').addEventListener('click', () => this.fitView());
document.getElementById('graph-physics').addEventListener('click', () => this.togglePhysics()); document.getElementById('graph-physics').addEventListener('click', () => this.togglePhysics());
document.getElementById('graph-cluster').addEventListener('click', () => this.toggleClustering()); document.getElementById('graph-cluster').addEventListener('click', () => this.toggleClustering());
document.getElementById('graph-unhide').addEventListener('click', () => this.unhideAll());
document.getElementById('graph-revert').addEventListener('click', () => this.revertLastAction());
}
addFilterPanel() {
this.filterPanel = document.createElement('div');
this.filterPanel.className = 'graph-filter-panel';
this.container.appendChild(this.filterPanel);
} }
/** /**
@ -287,31 +189,8 @@ class GraphManager {
setupNetworkEvents() { setupNetworkEvents() {
if (!this.network) return; if (!this.network) return;
// FIXED: Right-click context menu
this.container.addEventListener('contextmenu', (event) => {
event.preventDefault();
console.log('Right-click detected at:', event.offsetX, event.offsetY);
// Get coordinates relative to the canvas
const pointer = {
x: event.offsetX,
y: event.offsetY
};
const nodeId = this.network.getNodeAt(pointer);
console.log('Node at pointer:', nodeId);
if (nodeId) {
// Pass the original client event for positioning
this.showContextMenu(nodeId, event);
} else {
this.hideContextMenu();
}
});
// Node click event with details // Node click event with details
this.network.on('click', (params) => { this.network.on('click', (params) => {
this.hideContextMenu();
if (params.nodes.length > 0) { if (params.nodes.length > 0) {
const nodeId = params.nodes[0]; const nodeId = params.nodes[0];
if (this.network.isCluster(nodeId)) { if (this.network.isCluster(nodeId)) {
@ -337,6 +216,10 @@ class GraphManager {
} }
}); });
this.network.on('oncontext', (params) => {
params.event.preventDefault();
});
// Stabilization events with progress // Stabilization events with progress
this.network.on('stabilizationProgress', (params) => { this.network.on('stabilizationProgress', (params) => {
const progress = params.iterations / params.total; const progress = params.iterations / params.total;
@ -352,13 +235,6 @@ class GraphManager {
console.log('Selected nodes:', params.nodes); console.log('Selected nodes:', params.nodes);
console.log('Selected edges:', params.edges); console.log('Selected edges:', params.edges);
}); });
// Click away to hide context menu
document.addEventListener('click', (e) => {
if (!this.contextMenu.contains(e.target)) {
this.hideContextMenu();
}
});
} }
/** /**
@ -376,28 +252,21 @@ class GraphManager {
this.initialize(); this.initialize();
} }
this.largeEntityMembers.clear();
const largeEntityMap = new Map(); const largeEntityMap = new Map();
graphData.nodes.forEach(node => { graphData.nodes.forEach(node => {
if (node.type === 'large_entity' && node.attributes && Array.isArray(node.attributes.nodes)) { if (node.type === 'large_entity' && node.attributes && Array.isArray(node.attributes.nodes)) {
node.attributes.nodes.forEach(nodeId => { node.attributes.nodes.forEach(nodeId => {
largeEntityMap.set(nodeId, node.id); largeEntityMap.set(nodeId, node.id);
this.largeEntityMembers.add(nodeId);
}); });
} }
}); });
const filteredNodes = graphData.nodes.filter(node => { const processedNodes = graphData.nodes.map(node => {
// Only include nodes that are NOT members of large entities, but always include the container itself const processed = this.processNode(node);
return !this.largeEntityMembers.has(node.id) || node.type === 'large_entity'; if (largeEntityMap.has(node.id)) {
}); processed.hidden = true;
}
console.log(`Filtered ${graphData.nodes.length - filteredNodes.length} large entity member nodes from visualization`); return processed;
// Process only the filtered nodes
const processedNodes = filteredNodes.map(node => {
return this.processNode(node);
}); });
const mergedEdges = {}; const mergedEdges = {};
@ -441,10 +310,6 @@ class GraphManager {
// Update existing data // Update existing data
this.nodes.update(processedNodes); this.nodes.update(processedNodes);
this.edges.update(processedEdges); this.edges.update(processedEdges);
// After data is loaded, apply filters
this.updateFilterControls();
this.applyAllFilters();
// Highlight new additions briefly // Highlight new additions briefly
if (newNodes.length > 0 || newEdges.length > 0) { if (newNodes.length > 0 || newEdges.length > 0) {
@ -457,8 +322,6 @@ class GraphManager {
} }
console.log(`Graph updated: ${processedNodes.length} nodes, ${processedEdges.length} edges (${newNodes.length} new nodes, ${newEdges.length} new edges)`); console.log(`Graph updated: ${processedNodes.length} nodes, ${processedEdges.length} edges (${newNodes.length} new nodes, ${newEdges.length} new edges)`);
console.log(`Large entity members hidden: ${this.largeEntityMembers.size}`);
} catch (error) { } catch (error) {
console.error('Failed to update graph:', error); console.error('Failed to update graph:', error);
this.showError('Failed to update visualization'); this.showError('Failed to update visualization');
@ -545,6 +408,8 @@ class GraphManager {
} }
}; };
return processedEdge; return processedEdge;
} }
@ -591,6 +456,7 @@ class GraphManager {
return colors[nodeType] || '#ffffff'; return colors[nodeType] || '#ffffff';
} }
/** /**
* Get node border color based on type * Get node border color based on type
* @param {string} nodeType - Node type * @param {string} nodeType - Node type
@ -980,9 +846,6 @@ class GraphManager {
clear() { clear() {
this.nodes.clear(); this.nodes.clear();
this.edges.clear(); this.edges.clear();
this.history = [];
this.largeEntityMembers.clear(); // Clear large entity tracking
this.clearInitialTargets();
// Show placeholder // Show placeholder
const placeholder = this.container.querySelector('.graph-placeholder'); const placeholder = this.container.querySelector('.graph-placeholder');
@ -1003,577 +866,59 @@ class GraphManager {
} }
} }
/* * @param {Set} excludedNodeIds - Node IDs to exclude from analysis (for simulation)
* @param {Set} excludedEdgeTypes - Edge types to exclude from traversal
* @param {Set} excludedNodeTypes - Node types to exclude from traversal
* @returns {Object} Analysis results with reachable/unreachable nodes
*/
analyzeGraphReachability(excludedNodeIds = new Set(), excludedEdgeTypes = new Set(), excludedNodeTypes = new Set()) {
console.log("Performing comprehensive reachability analysis...");
const analysis = {
reachableNodes: new Set(),
unreachableNodes: new Set(),
isolatedClusters: [],
affectedNodes: new Set()
};
if (this.nodes.length === 0) return analysis;
// Build adjacency list excluding specified elements
const adjacencyList = {};
this.nodes.getIds().forEach(id => {
if (!excludedNodeIds.has(id)) {
adjacencyList[id] = [];
}
});
this.edges.forEach(edge => {
const edgeType = edge.metadata?.relationship_type || '';
if (!excludedEdgeTypes.has(edgeType) &&
!excludedNodeIds.has(edge.from) &&
!excludedNodeIds.has(edge.to)) {
if (adjacencyList[edge.from]) {
adjacencyList[edge.from].push(edge.to);
}
}
});
// BFS traversal from initial targets
const traversalQueue = [];
// Start from initial targets that aren't excluded
this.initialTargetIds.forEach(rootId => {
if (!excludedNodeIds.has(rootId)) {
const node = this.nodes.get(rootId);
if (node && !excludedNodeTypes.has(node.type)) {
if (!analysis.reachableNodes.has(rootId)) {
traversalQueue.push(rootId);
analysis.reachableNodes.add(rootId);
}
}
}
});
// BFS to find all reachable nodes
let queueIndex = 0;
while (queueIndex < traversalQueue.length) {
const currentNode = traversalQueue[queueIndex++];
for (const neighbor of (adjacencyList[currentNode] || [])) {
if (!analysis.reachableNodes.has(neighbor)) {
const node = this.nodes.get(neighbor);
if (node && !excludedNodeTypes.has(node.type)) {
analysis.reachableNodes.add(neighbor);
traversalQueue.push(neighbor);
}
}
}
}
// Identify unreachable nodes (maintaining forensic integrity)
Object.keys(adjacencyList).forEach(nodeId => {
if (!analysis.reachableNodes.has(nodeId)) {
analysis.unreachableNodes.add(nodeId);
}
});
// Find isolated clusters among unreachable nodes
analysis.isolatedClusters = this.findIsolatedClusters(
Array.from(analysis.unreachableNodes),
adjacencyList
);
console.log(`Reachability analysis complete:`, {
reachable: analysis.reachableNodes.size,
unreachable: analysis.unreachableNodes.size,
clusters: analysis.isolatedClusters.length
});
return analysis;
}
/** /**
* Find isolated clusters within a set of nodes * Get network statistics
* Used for forensic analysis to identify disconnected subgraphs * @returns {Object} Statistics object
*/
findIsolatedClusters(nodeIds, adjacencyList) {
const visited = new Set();
const clusters = [];
for (const nodeId of nodeIds) {
if (!visited.has(nodeId)) {
const cluster = [];
const stack = [nodeId];
while (stack.length > 0) {
const current = stack.pop();
if (!visited.has(current)) {
visited.add(current);
cluster.push(current);
// Add unvisited neighbors within the unreachable set
for (const neighbor of (adjacencyList[current] || [])) {
if (nodeIds.includes(neighbor) && !visited.has(neighbor)) {
stack.push(neighbor);
}
}
}
}
if (cluster.length > 0) {
clusters.push(cluster);
}
}
}
return clusters;
}
/**
* ENHANCED: Get comprehensive graph statistics with forensic information
* Updates the existing getStatistics() method
*/ */
getStatistics() { getStatistics() {
const basicStats = { return {
nodeCount: this.nodes.length, nodeCount: this.nodes.length,
edgeCount: this.edges.length, edgeCount: this.edges.length,
largeEntityMembersHidden: this.largeEntityMembers.size //isStabilized: this.network ? this.network.isStabilized() : false
}; };
// Add forensic statistics
const visibleNodes = this.nodes.get({ filter: node => !node.hidden });
const hiddenNodes = this.nodes.get({ filter: node => node.hidden });
return {
...basicStats,
forensicStatistics: {
visibleNodes: visibleNodes.length,
hiddenNodes: hiddenNodes.length,
initialTargets: this.initialTargetIds.size,
integrityStatus: visibleNodes.length > 0 && this.initialTargetIds.size > 0 ? 'INTACT' : 'COMPROMISED'
}
};
}
addInitialTarget(targetId) {
this.initialTargetIds.add(targetId);
console.log("Initial targets:", this.initialTargetIds);
}
clearInitialTargets() {
this.initialTargetIds.clear();
console.log("Initial targets cleared.");
}
updateFilterControls() {
if (!this.filterPanel) return;
const nodeTypes = new Set(this.nodes.get().map(n => n.type));
const edgeTypes = new Set(this.edges.get().map(e => e.metadata.relationship_type));
// Wrap both columns in a single container with vertical layout
let filterHTML = '<div class="filter-container">';
// Nodes section
filterHTML += '<div class="filter-column"><h4>Nodes</h4><div class="checkbox-group">';
nodeTypes.forEach(type => {
const label = type === 'correlation_object' ? 'latent correlations' : type;
const isChecked = type !== 'correlation_object';
filterHTML += `<label><input type="checkbox" data-filter-type="node" value="${type}" ${isChecked ? 'checked' : ''}> ${label}</label>`;
});
filterHTML += '</div></div>';
// Edges section
filterHTML += '<div class="filter-column"><h4>Edges</h4><div class="checkbox-group">';
edgeTypes.forEach(type => {
filterHTML += `<label><input type="checkbox" data-filter-type="edge" value="${type}" checked> ${type}</label>`;
});
filterHTML += '</div></div>';
filterHTML += '</div>'; // Close filter-container
this.filterPanel.innerHTML = filterHTML;
this.filterPanel.querySelectorAll('input[type="checkbox"]').forEach(checkbox => {
checkbox.addEventListener('change', () => this.applyAllFilters());
});
} }
/** /**
* ENHANCED: Apply filters using consolidated reachability analysis * Apply filters to the graph
* Replaces the existing applyAllFilters() method * @param {string} nodeType - The type of node to show ('all' for no filter)
* @param {number} minConfidence - The minimum confidence score for edges to be visible
*/ */
applyAllFilters() { applyFilters(nodeType, minConfidence) {
console.log("Applying filters with enhanced reachability analysis..."); console.log(`Applying filters: nodeType=${nodeType}, minConfidence=${minConfidence}`);
if (this.nodes.length === 0) return;
// Get filter criteria from UI const nodeUpdates = [];
const excludedNodeTypes = new Set(); const edgeUpdates = [];
this.filterPanel?.querySelectorAll('input[data-filter-type="node"]:not(:checked)').forEach(cb => {
excludedNodeTypes.add(cb.value);
});
const excludedEdgeTypes = new Set(); const allNodes = this.nodes.get({ returnType: 'Object' });
this.filterPanel?.querySelectorAll('input[data-filter-type="edge"]:not(:checked)').forEach(cb => { const allEdges = this.edges.get();
excludedEdgeTypes.add(cb.value);
});
// Perform comprehensive analysis // Determine which nodes are visible based on the nodeType filter
const analysis = this.analyzeGraphReachability(new Set(), excludedEdgeTypes, excludedNodeTypes); for (const nodeId in allNodes) {
const node = allNodes[nodeId];
// Apply visibility updates const isVisible = (nodeType === 'all' || node.type === nodeType);
const nodeUpdates = this.nodes.map(node => ({ nodeUpdates.push({ id: nodeId, hidden: !isVisible });
id: node.id, }
hidden: !analysis.reachableNodes.has(node.id)
}));
const edgeUpdates = this.edges.map(edge => ({
id: edge.id,
hidden: excludedEdgeTypes.has(edge.metadata?.relationship_type || '') ||
!analysis.reachableNodes.has(edge.from) ||
!analysis.reachableNodes.has(edge.to)
}));
// Update nodes first to determine edge visibility
this.nodes.update(nodeUpdates); this.nodes.update(nodeUpdates);
// Determine which edges are visible based on confidence and connected nodes
for (const edge of allEdges) {
const sourceNode = this.nodes.get(edge.from);
const targetNode = this.nodes.get(edge.to);
const confidence = edge.metadata ? edge.metadata.confidence_score : 0;
const isVisible = confidence >= minConfidence &&
sourceNode && !sourceNode.hidden &&
targetNode && !targetNode.hidden;
edgeUpdates.push({ id: edge.id, hidden: !isVisible });
}
this.edges.update(edgeUpdates); this.edges.update(edgeUpdates);
console.log(`Enhanced filters applied. Visible nodes: ${analysis.reachableNodes.size}`); console.log('Filters applied.');
} }
/**
* ENHANCED: Hide node with forensic integrity using reachability analysis
* Replaces the existing hideNodeAndOrphans() method
*/
hideNodeWithReachabilityAnalysis(nodeId) {
console.log(`Hiding node ${nodeId} with reachability analysis...`);
// Simulate hiding this node and analyze impact
const excludedNodes = new Set([nodeId]);
const analysis = this.analyzeGraphReachability(excludedNodes);
// Nodes that will become unreachable (should be hidden)
const nodesToHide = [nodeId, ...Array.from(analysis.unreachableNodes)];
// Store history for potential revert
const historyData = {
nodeIds: nodesToHide,
operation: 'hide_with_reachability',
timestamp: Date.now()
};
// Apply hiding with forensic documentation
const updates = nodesToHide.map(id => ({
id: id,
hidden: true,
forensicNote: `Hidden due to reachability analysis from ${nodeId}`
}));
this.nodes.update(updates);
this.addToHistory('hide', historyData);
console.log(`Forensic hide operation: ${nodesToHide.length} nodes hidden`, {
originalTarget: nodeId,
cascadeNodes: nodesToHide.length - 1,
isolatedClusters: analysis.isolatedClusters.length
});
return {
hiddenNodes: nodesToHide,
isolatedClusters: analysis.isolatedClusters
};
}
/**
* ENHANCED: Delete node with forensic integrity using reachability analysis
* Replaces the existing deleteNodeAndOrphans() method
*/
async deleteNodeWithReachabilityAnalysis(nodeId) {
console.log(`Deleting node ${nodeId} with reachability analysis...`);
// Simulate deletion and analyze impact
const excludedNodes = new Set([nodeId]);
const analysis = this.analyzeGraphReachability(excludedNodes);
// Nodes that will become unreachable (should be deleted)
const nodesToDelete = [nodeId, ...Array.from(analysis.unreachableNodes)];
// Collect forensic data before deletion
const historyData = {
nodes: nodesToDelete.map(id => this.nodes.get(id)).filter(Boolean),
edges: [],
operation: 'delete_with_reachability',
timestamp: Date.now(),
forensicAnalysis: {
originalTarget: nodeId,
cascadeNodes: nodesToDelete.length - 1,
isolatedClusters: analysis.isolatedClusters.length,
clusterSizes: analysis.isolatedClusters.map(cluster => cluster.length)
}
};
// Collect affected edges
nodesToDelete.forEach(id => {
const connectedEdgeIds = this.network.getConnectedEdges(id);
const edges = this.edges.get(connectedEdgeIds);
historyData.edges.push(...edges);
});
// Remove duplicates from edges
historyData.edges = Array.from(new Map(historyData.edges.map(e => [e.id, e])).values());
// Perform backend deletion with forensic logging
let operationFailed = false;
for (const targetNodeId of nodesToDelete) {
try {
const response = await fetch(`/api/graph/node/${targetNodeId}`, {
method: 'DELETE',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
forensicContext: {
operation: 'reachability_cascade_delete',
originalTarget: nodeId,
analysisTimestamp: historyData.timestamp
}
})
});
const result = await response.json();
if (!result.success) {
console.error(`Backend deletion failed for node ${targetNodeId}:`, result.error);
operationFailed = true;
break;
}
console.log(`Node ${targetNodeId} deleted from backend with forensic context`);
this.nodes.remove({ id: targetNodeId });
} catch (error) {
console.error(`API error during deletion of node ${targetNodeId}:`, error);
operationFailed = true;
break;
}
}
// Handle operation results
if (!operationFailed) {
this.addToHistory('delete', historyData);
console.log(`Forensic delete operation completed:`, historyData.forensicAnalysis);
return {
success: true,
deletedNodes: nodesToDelete,
forensicAnalysis: historyData.forensicAnalysis
};
} else {
// Revert UI changes if backend operations failed - use update instead of add
console.log("Reverting UI changes due to backend failure");
this.nodes.update(historyData.nodes);
this.edges.update(historyData.edges);
return {
success: false,
error: "Backend deletion failed, UI reverted"
};
}
}
/**
* Show context menu for a node
* @param {string} nodeId - The ID of the node
* @param {Event} event - The contextmenu event
*/
showContextMenu(nodeId, event) {
console.log('Showing context menu for node:', nodeId);
const node = this.nodes.get(nodeId);
// Create menu items
let menuItems = `
<ul>
<li data-action="focus" data-node-id="${nodeId}">
<span class="menu-icon">🎯</span>
<span>Focus on Node</span>
</li>
`;
// Add "Iterate Scan" option only for domain or IP nodes
if (node && (node.type === 'domain' || node.type === 'ip')) {
const disabled = this.isScanning ? 'disabled' : ''; // Check if scanning
const title = this.isScanning ? 'A scan is already in progress' : 'Iterate Scan (Add to Graph)'; // Add a title for disabled state
menuItems += `
<li data-action="iterate" data-node-id="${nodeId}" ${disabled} title="${title}">
<span class="menu-icon"></span>
<span>Iterate Scan (Add to Graph)</span>
</li>
`;
}
menuItems += `
<li data-action="hide" data-node-id="${nodeId}">
<span class="menu-icon">👁🗨</span>
<span>Hide Node</span>
</li>
<li data-action="delete" data-node-id="${nodeId}">
<span class="menu-icon">🗑</span>
<span>Delete Node</span>
</li>
<li data-action="details" data-node-id="${nodeId}">
<span class="menu-icon"></span>
<span>Show Details</span>
</li>
</ul>
`;
this.contextMenu.innerHTML = menuItems;
// Position the menu
this.contextMenu.style.left = `${event.clientX}px`;
this.contextMenu.style.top = `${event.clientY}px`;
this.contextMenu.style.display = 'block';
// Ensure menu stays within viewport
const rect = this.contextMenu.getBoundingClientRect();
if (rect.right > window.innerWidth) {
this.contextMenu.style.left = `${event.clientX - rect.width}px`;
}
if (rect.bottom > window.innerHeight) {
this.contextMenu.style.top = `${event.clientY - rect.height}px`;
}
// Add event listeners to menu items
this.contextMenu.querySelectorAll('li').forEach(item => {
item.addEventListener('click', (e) => {
if (e.currentTarget.hasAttribute('disabled')) { // Prevent action if disabled
e.stopPropagation();
return;
}
e.stopPropagation();
const action = e.currentTarget.dataset.action;
const nodeId = e.currentTarget.dataset.nodeId;
console.log('Context menu action:', action, 'for node:', nodeId);
this.performContextMenuAction(action, nodeId);
this.hideContextMenu();
});
});
}
/**
* Hide the context menu
*/
hideContextMenu() {
if (this.contextMenu) {
this.contextMenu.style.display = 'none';
}
}
/**
* UPDATED: Enhanced context menu actions using new methods
* Updates the existing performContextMenuAction() method
*/
performContextMenuAction(action, nodeId) {
console.log('Performing enhanced action:', action, 'on node:', nodeId);
switch (action) {
case 'focus':
this.focusOnNode(nodeId);
break;
case 'iterate':
const event = new CustomEvent('iterateScan', {
detail: { nodeId }
});
document.dispatchEvent(event);
break;
case 'hide':
// Use enhanced method with reachability analysis
this.hideNodeWithReachabilityAnalysis(nodeId);
break;
case 'delete':
// Use enhanced method with reachability analysis
this.deleteNodeWithReachabilityAnalysis(nodeId);
break;
case 'details':
const node = this.nodes.get(nodeId);
if (node) {
this.showNodeDetails(node);
}
break;
default:
console.warn('Unknown action:', action);
}
}
/**
* Add an operation to the history stack
* @param {string} type - The type of operation ('hide', 'delete')
* @param {Object} data - The data needed to revert the operation
*/
addToHistory(type, data) {
this.history.push({ type, data });
}
/**
* Revert the last action
*/
async revertLastAction() {
const lastAction = this.history.pop();
if (!lastAction) {
console.log('No actions to revert.');
return;
}
switch (lastAction.type) {
case 'hide':
// Revert hiding nodes by un-hiding them
const updates = lastAction.data.nodeIds.map(id => ({ id: id, hidden: false }));
this.nodes.update(updates);
break;
case 'delete':
try {
const response = await fetch('/api/graph/revert', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(lastAction)
});
const result = await response.json();
if (result.success) {
console.log('Delete action reverted successfully on backend.');
// Re-add all nodes and edges from the history to the local view - use update instead of add
this.nodes.update(lastAction.data.nodes);
this.edges.update(lastAction.data.edges);
} else {
console.error('Failed to revert delete action on backend:', result.error);
// Push the action back onto the history stack if the API call failed
this.history.push(lastAction);
}
} catch (error) {
console.error('Error during revert API call:', error);
this.history.push(lastAction);
}
break;
}
}
/**
* Unhide all hidden nodes
*/
unhideAll() {
const allNodes = this.nodes.get({
filter: (node) => node.hidden === true
});
const updates = allNodes.map(node => ({ id: node.id, hidden: false }));
this.nodes.update(updates);
}
} }
// Export for use in main.js // Export for use in main.js

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@ -32,8 +32,19 @@
<div class="form-container"> <div class="form-container">
<div class="input-group"> <div class="input-group">
<label for="target-input">Target Domain or IP</label> <label for="target-domain">Target Domain</label>
<input type="text" id="target-input" placeholder="example.com or 8.8.8.8" autocomplete="off"> <input type="text" id="target-domain" placeholder="example.com" autocomplete="off">
</div>
<div class="input-group">
<label for="max-depth">Recursion Depth</label>
<select id="max-depth">
<option value="1">Depth 1 - Direct relationships</option>
<option value="2" selected>Depth 2 - Recommended</option>
<option value="3">Depth 3 - Extended analysis</option>
<option value="4">Depth 4 - Deep reconnaissance</option>
<option value="5">Depth 5 - Maximum depth</option>
</select>
</div> </div>
<div class="button-group"> <div class="button-group">
@ -53,9 +64,9 @@
<span class="btn-icon">[EXPORT]</span> <span class="btn-icon">[EXPORT]</span>
<span>Download Results</span> <span>Download Results</span>
</button> </button>
<button id="configure-settings" class="btn btn-secondary"> <button id="configure-api-keys" class="btn btn-secondary">
<span class="btn-icon">[API]</span> <span class="btn-icon">[API]</span>
<span>Settings</span> <span>Configure API Keys</span>
</button> </button>
</div> </div>
</div> </div>
@ -93,22 +104,30 @@
<div class="progress-bar"> <div class="progress-bar">
<div id="progress-fill" class="progress-fill"></div> <div id="progress-fill" class="progress-fill"></div>
</div> </div>
<div class="progress-placeholder">
<span class="status-label">
⚠️ <strong>Important:</strong> Scanning large public services (e.g., Google, Cloudflare, AWS) is
<strong>discouraged</strong> due to rate limits (e.g., crt.sh).
<br><br>
Our task scheduler operates on a <strong>priority-based queue</strong>:
Short, targeted tasks like DNS are processed first, while resource-intensive requests (e.g., crt.sh)
are <strong>automatically deprioritized</strong> and may be processed later.
</span>
</div>
</div> </div>
</section> </section>
<section class="visualization-panel"> <section class="visualization-panel">
<div class="panel-header"> <div class="panel-header">
<h2>Infrastructure Map</h2> <h2>Infrastructure Map</h2>
<div class="view-controls">
<div class="filter-group">
<label for="node-type-filter">Node Type:</label>
<select id="node-type-filter">
<option value="all">All</option>
<option value="domain">Domain</option>
<option value="ip">IP</option>
<option value="asn">ASN</option>
<option value="correlation_object">Correlation Object</option>
<option value="large_entity">Large Entity</option>
</select>
</div>
<div class="filter-group">
<label for="confidence-filter">Min Confidence:</label>
<input type="range" id="confidence-filter" min="0" max="1" step="0.1" value="0">
<span id="confidence-value">0</span>
</div>
</div>
</div> </div>
<div id="network-graph" class="graph-container"> <div id="network-graph" class="graph-container">
@ -186,28 +205,16 @@
</div> </div>
</div> </div>
<div id="settings-modal" class="modal"> <div id="api-key-modal" class="modal">
<div class="modal-content"> <div class="modal-content">
<div class="modal-header"> <div class="modal-header">
<h3>Settings</h3> <h3>Configure API Keys</h3>
<button id="settings-modal-close" class="modal-close">[×]</button> <button id="api-key-modal-close" class="modal-close">[×]</button>
</div> </div>
<div class="modal-body"> <div class="modal-body">
<p class="modal-description"> <p class="modal-description">
Configure scan settings and API keys. Keys are stored in memory for the current session only. Enter your API keys for enhanced data providers. Keys are stored in memory for the current session only and are never saved to disk.
Only provide API-keys you dont use for anything else. Don´t enter an API-key if you don´t trust me (best practice would that you don´t).
</p> </p>
<br>
<div class="input-group">
<label for="max-depth">Recursion Depth</label>
<select id="max-depth">
<option value="1">Depth 1 - Direct relationships</option>
<option value="2" selected>Depth 2 - Recommended</option>
<option value="3">Depth 3 - Extended analysis</option>
<option value="4">Depth 4 - Deep reconnaissance</option>
<option value="5">Depth 5 - Maximum depth</option>
</select>
</div>
<div id="api-key-inputs"> <div id="api-key-inputs">
</div> </div>
<div class="button-group" style="flex-direction: row; justify-content: flex-end;"> <div class="button-group" style="flex-direction: row; justify-content: flex-end;">
@ -215,7 +222,7 @@
<span>Reset</span> <span>Reset</span>
</button> </button>
<button id="save-api-keys" class="btn btn-primary"> <button id="save-api-keys" class="btn btn-primary">
<span>Save API-Keys</span> <span>Save Keys</span>
</button> </button>
</div> </div>
</div> </div>

View File

@ -48,15 +48,3 @@ def _is_valid_ip(ip: str) -> bool:
except (ValueError, AttributeError): except (ValueError, AttributeError):
return False return False
def is_valid_target(target: str) -> bool:
"""
Checks if the target is a valid domain or IP address.
Args:
target: The target string to validate.
Returns:
True if the target is a valid domain or IP, False otherwise.
"""
return _is_valid_domain(target) or _is_valid_ip(target)