Doc/updated documentation (#60)

* added documentation, updated repo pointer in the dashboard, added dashboard link highlighting and mionor fixes

* added doc

* added logo to dashboard

* Fixed dashboard attack chart

* Enhance fake data generation with varied request counts for better visualization

* Add automatic migrations and support for latitude/longitude in IP stats

* Update Helm chart version to 0.2.2 and add timezone configuration option

---------

Co-authored-by: BlessedRebuS <patrick.difa@gmail.com>
This commit is contained in:
Lorenzo Venerandi
2026-01-29 11:55:06 +01:00
committed by GitHub
parent 39d9d62247
commit e93bcb959a
34 changed files with 917 additions and 314 deletions

287
README.md
View File

@@ -10,7 +10,7 @@
<div align="center">
<p align="center">
A modern, customizable zero-dependencies honeypot server designed to detect and track malicious activity through deceptive web pages, fake credentials, and canary tokens.
A modern, customizable web honeypot server designed to detect and track malicious activity from attackers and web crawlers through deceptive web pages, fake credentials, and canary tokens.
</p>
<div align="center">
@@ -55,7 +55,7 @@ Tip: crawl the `robots.txt` paths for additional fun
## What is Krawl?
**Krawl** is a cloudnative deception server designed to detect, delay, and analyze malicious web crawlers and automated scanners.
**Krawl** is a cloudnative deception server designed to detect, delay, and analyze malicious attackers, web crawlers and automated scanners.
It creates realistic fake web applications filled with lowhanging fruit such as admin panels, configuration files, and exposed fake credentials to attract and identify suspicious activity.
@@ -68,11 +68,14 @@ It features:
- **Honeypot Paths**: Advertised in robots.txt to catch scanners
- **Fake Credentials**: Realistic-looking usernames, passwords, API keys
- **[Canary Token](#customizing-the-canary-token) Integration**: External alert triggering
- **Random server headers**: Confuse attacks based on server header and version
- **Real-time Dashboard**: Monitor suspicious activity
- **Customizable Wordlists**: Easy JSON-based configuration
- **Random Error Injection**: Mimic real server behavior
![asd](img/deception-page.png)
![dashboard](img/deception-page.png)
![geoip](img/geoip_dashboard.png)
## 🚀 Installation
@@ -127,149 +130,98 @@ Stop with:
docker-compose down
```
### Helm Chart
Install with default values:
```bash
helm install krawl oci://ghcr.io/blessedrebus/krawl-chart \
--version 2.0.0 \
--namespace krawl-system \
--create-namespace
```
Or create a minimal `values.yaml` file:
```yaml
service:
type: LoadBalancer
port: 5000
ingress:
enabled: true
className: "traefik"
hosts:
- host: krawl.example.com
paths:
- path: /
pathType: Prefix
config:
server:
port: 5000
delay: 100
dashboard:
secret_path: null # Auto-generated if not set
database:
persistence:
enabled: true
size: 1Gi
```
Install with custom values:
```bash
helm install krawl oci://ghcr.io/blessedrebus/krawl-chart \
--version 2.0.0 \
--namespace krawl-system \
--create-namespace \
-f values.yaml
```
To access the deception server:
```bash
kubectl get svc krawl -n krawl-system
```
Once the EXTERNAL-IP is assigned, access your deception server at `http://<EXTERNAL-IP>:5000`
### Kubernetes
**Krawl is also available natively on Kubernetes**. Installation can be done either [via manifest](kubernetes/README.md) or [using the helm chart](helm/README.md).
Apply all manifests with:
## Use Krawl to Ban Malicious IPs
Krawl uses a reputation-based system to classify attacker IP addresses. Every five minutes, Krawl exports the identified malicious IPs to a `malicious_ips.txt` file.
This file can either be mounted from the Docker container into another system or downloaded directly via `curl`:
```bash
kubectl apply -f https://raw.githubusercontent.com/BlessedRebuS/Krawl/refs/heads/main/kubernetes/krawl-all-in-one-deploy.yaml
curl https://your-krawl-instance/<DASHBOARD-PATH>/api/download/malicious_ips.txt
```
Or clone the repo and apply the manifest:
This file can be used to [update a set of firewall rules](https://www.allthingstech.ch/using-opnsense-and-ip-blocklists-to-block-malicious-traffic), for example on OPNsense and pfSense, enabling automatic blocking of malicious IPs or using IPtables
## IP Reputation
Krawl [uses tasks that analyze recent traffic to build and continuously update an IP reputation](src/tasks/analyze_ips.py) score. It runs periodically and evaluates each active IP address based on multiple behavioral indicators to classify it as an attacker, crawler, or regular user. Thresholds are fully customizable.
![ip reputation](img/ip-reputation.png)
The analysis includes:
- **Risky HTTP methods usage** (e.g. POST, PUT, DELETE ratios)
- **Robots.txt violations**
- **Request timing anomalies** (bursty or irregular patterns)
- **User-Agent consistency**
- **Attack URL detection** (e.g. SQL injection, XSS patterns)
Each signal contributes to a weighted scoring model that assigns a reputation category:
- `attacker`
- `bad_crawler`
- `good_crawler`
- `regular_user`
- `unknown` (for insufficient data)
The resulting scores and metrics are stored in the database and used by Krawl to drive dashboards, reputation tracking, and automated mitigation actions such as IP banning or firewall integration.
## Forward server header
If Krawl is deployed behind a proxy such as NGINX the **server header** should be forwarded using the following configuration in your proxy:
```bash
kubectl apply -f kubernetes/krawl-all-in-one-deploy.yaml
location / {
proxy_pass https://your-krawl-instance;
proxy_pass_header Server;
}
```
Access the deception server:
## API
Krawl uses the following APIs
- https://iprep.lcrawl.com (IP Reputation)
- https://nominatim.openstreetmap.org/reverse (Reverse IP Lookup)
- https://api.ipify.org (Public IP discovery)
- http://ident.me (Public IP discovery)
- https://ifconfig.me (Public IP discovery)
## Configuration
Krawl uses a **configuration hierarchy** in which **environment variables take precedence over the configuration file**. This approach is recommended for Docker deployments and quick out-of-the-box customization.
### Configuration via Enviromental Variables
| Environment Variable | Description | Default |
|----------------------|-------------|---------|
| `CONFIG_LOCATION` | Path to yaml config file | `config.yaml` |
| `KRAWL_PORT` | Server listening port | `5000` |
| `KRAWL_DELAY` | Response delay in milliseconds | `100` |
| `KRAWL_SERVER_HEADER` | HTTP Server header for deception | `""` |
| `KRAWL_LINKS_LENGTH_RANGE` | Link length range as `min,max` | `5,15` |
| `KRAWL_LINKS_PER_PAGE_RANGE` | Links per page as `min,max` | `10,15` |
| `KRAWL_CHAR_SPACE` | Characters used for link generation | `abcdefgh...` |
| `KRAWL_MAX_COUNTER` | Initial counter value | `10` |
| `KRAWL_CANARY_TOKEN_URL` | External canary token URL | None |
| `KRAWL_CANARY_TOKEN_TRIES` | Requests before showing canary token | `10` |
| `KRAWL_DASHBOARD_SECRET_PATH` | Custom dashboard path | Auto-generated |
| `KRAWL_API_SERVER_URL` | API server URL | None |
| `KRAWL_API_SERVER_PORT` | API server port | `8080` |
| `KRAWL_API_SERVER_PATH` | API server endpoint path | `/api/v2/users` |
| `KRAWL_PROBABILITY_ERROR_CODES` | Error response probability (0-100%) | `0` |
| `KRAWL_DATABASE_PATH` | Database file location | `data/krawl.db` |
| `KRAWL_DATABASE_RETENTION_DAYS` | Days to retain data in database | `30` |
| `KRAWL_HTTP_RISKY_METHODS_THRESHOLD` | Threshold for risky HTTP methods detection | `0.1` |
| `KRAWL_VIOLATED_ROBOTS_THRESHOLD` | Threshold for robots.txt violations | `0.1` |
| `KRAWL_UNEVEN_REQUEST_TIMING_THRESHOLD` | Coefficient of variation threshold for timing | `0.5` |
| `KRAWL_UNEVEN_REQUEST_TIMING_TIME_WINDOW_SECONDS` | Time window for request timing analysis in seconds | `300` |
| `KRAWL_USER_AGENTS_USED_THRESHOLD` | Threshold for detecting multiple user agents | `2` |
| `KRAWL_ATTACK_URLS_THRESHOLD` | Threshold for attack URL detection | `1` |
For example
```bash
kubectl get svc krawl-server -n krawl-system
```
Once the EXTERNAL-IP is assigned, access your deception server at `http://<EXTERNAL-IP>:5000`
### From Source (Python 3.11+)
Clone the repository:
```bash
git clone https://github.com/blessedrebus/krawl.git
cd krawl/src
```
Run the server:
```bash
python3 server.py
```
Visit `http://localhost:5000` and access the dashboard at `http://localhost:5000/<dashboard-secret-path>`
## Configuration via Environment Variables
To customize the deception server installation, environment variables can be specified using the naming convention: `KRAWL_<FIELD_NAME>` where `<FIELD_NAME>` is the configuration field name in uppercase with special characters converted:
- `.``_`
- `-``__` (double underscore)
- ` ` (space) → `_`
### Configuration Variables
| Configuration Field | Environment Variable | Description | Default |
|-----------|-----------|-------------|---------|
| `port` | `KRAWL_PORT` | Server listening port | `5000` |
| `delay` | `KRAWL_DELAY` | Response delay in milliseconds | `100` |
| `server_header` | `KRAWL_SERVER_HEADER` | HTTP Server header for deception | `""` |
| `links_length_range` | `KRAWL_LINKS_LENGTH_RANGE` | Link length range as `min,max` | `5,15` |
| `links_per_page_range` | `KRAWL_LINKS_PER_PAGE_RANGE` | Links per page as `min,max` | `10,15` |
| `char_space` | `KRAWL_CHAR_SPACE` | Characters used for link generation | `abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789` |
| `max_counter` | `KRAWL_MAX_COUNTER` | Initial counter value | `10` |
| `canary_token_url` | `KRAWL_CANARY_TOKEN_URL` | External canary token URL | None |
| `canary_token_tries` | `KRAWL_CANARY_TOKEN_TRIES` | Requests before showing canary token | `10` |
| `dashboard_secret_path` | `KRAWL_DASHBOARD_SECRET_PATH` | Custom dashboard path | Auto-generated |
| `api_server_url` | `KRAWL_API_SERVER_URL` | API server URL | None |
| `api_server_port` | `KRAWL_API_SERVER_PORT` | API server port | `8080` |
| `api_server_path` | `KRAWL_API_SERVER_PATH` | API server endpoint path | `/api/v2/users` |
| `probability_error_codes` | `KRAWL_PROBABILITY_ERROR_CODES` | Error response probability (0-100%) | `0` |
| `database_path` | `KRAWL_DATABASE_PATH` | Database file location | `data/krawl.db` |
| `database_retention_days` | `KRAWL_DATABASE_RETENTION_DAYS` | Days to retain data in database | `30` |
| `http_risky_methods_threshold` | `KRAWL_HTTP_RISKY_METHODS_THRESHOLD` | Threshold for risky HTTP methods detection | `0.1` |
| `violated_robots_threshold` | `KRAWL_VIOLATED_ROBOTS_THRESHOLD` | Threshold for robots.txt violations | `0.1` |
| `uneven_request_timing_threshold` | `KRAWL_UNEVEN_REQUEST_TIMING_THRESHOLD` | Coefficient of variation threshold for timing | `0.5` |
| `uneven_request_timing_time_window_seconds` | `KRAWL_UNEVEN_REQUEST_TIMING_TIME_WINDOW_SECONDS` | Time window for request timing analysis in seconds | `300` |
| `user_agents_used_threshold` | `KRAWL_USER_AGENTS_USED_THRESHOLD` | Threshold for detecting multiple user agents | `2` |
| `attack_urls_threshold` | `KRAWL_ATTACK_URLS_THRESHOLD` | Threshold for attack URL detection | `1` |
### Examples
```bash
# Set port and delay
export KRAWL_PORT=8080
export KRAWL_DELAY=200
# Set canary token
export CONFIG_LOCATION="config.yaml"
export KRAWL_CANARY_TOKEN_URL="http://your-canary-token-url"
# Set tuple values (min,max format)
export KRAWL_LINKS_LENGTH_RANGE="3,20"
# Set number of pages range (min,max format)
export KRAWL_LINKS_PER_PAGE_RANGE="5,25"
# Set analyzer thresholds
@@ -280,7 +232,7 @@ export KRAWL_VIOLATED_ROBOTS_THRESHOLD="0.15"
export KRAWL_DASHBOARD_SECRET_PATH="/my-secret-dashboard"
```
Or in Docker:
Example of a Docker run with env variables:
```bash
docker run -d \
@@ -292,36 +244,20 @@ docker run -d \
ghcr.io/blessedrebus/krawl:latest
```
## robots.txt
The actual (juicy) robots.txt configuration is the following
### Configuration via config.yaml
You can use the [config.yaml](config.yaml) file for more advanced configurations, such as Docker Compose or Helm chart deployments.
```txt
Disallow: /admin/
Disallow: /api/
Disallow: /backup/
Disallow: /config/
Disallow: /database/
Disallow: /private/
Disallow: /uploads/
Disallow: /wp-admin/
Disallow: /phpMyAdmin/
Disallow: /admin/login.php
Disallow: /api/v1/users
Disallow: /api/v2/secrets
Disallow: /.env
Disallow: /credentials.txt
Disallow: /passwords.txt
Disallow: /.git/
Disallow: /backup.sql
Disallow: /db_backup.sql
```
# Honeypot
Below is a complete overview of the Krawl honeypots capabilities
## robots.txt
The actual (juicy) robots.txt configuration [is the following](src/templates/html/robots.txt).
## Honeypot pages
Requests to common admin endpoints (`/admin/`, `/wp-admin/`, `/phpMyAdmin/`) return a fake login page. Any login attempt triggers a 1-second delay to simulate real processing and is fully logged in the dashboard (credentials, IP, headers, timing).
<div align="center">
<img src="img/admin-page.png" width="60%" />
</div>
![admin page](img/admin-page.png)
Requests to paths like `/backup/`, `/config/`, `/database/`, `/private/`, or `/uploads/` return a fake directory listing populated with “interesting” files, each assigned a random file size to look realistic.
@@ -329,21 +265,23 @@ Requests to paths like `/backup/`, `/config/`, `/database/`, `/private/`, or `/u
The `.env` endpoint exposes fake database connection strings, **AWS API keys**, and **Stripe secrets**. It intentionally returns an error due to the `Content-Type` being `application/json` instead of plain text, mimicking a “juicy” misconfiguration that crawlers and scanners often flag as information leakage.
![env-page](img/env-page.png)
The `/server` page displays randomly generated fake error information for each known server.
![server and env page](img/server-and-env-page.png)
The pages `/api/v1/users` and `/api/v2/secrets` show fake users and random secrets in JSON format
<div align="center">
<img src="img/api-users-page.png" width="45%" style="vertical-align: middle; margin: 0 10px;" />
<img src="img/api-secrets-page.png" width="45%" style="vertical-align: middle; margin: 0 10px;" />
</div>
![users and secrets](img/users-and-secrets.png)
The pages `/credentials.txt` and `/passwords.txt` show fake users and random secrets
<div align="center">
<img src="img/credentials-page.png" width="35%" style="vertical-align: middle; margin: 0 10px;" />
<img src="img/passwords-page.png" width="45%" style="vertical-align: middle; margin: 0 10px;" />
</div>
![credentials and passwords](img/credentials-and-passwords.png)
Pages such as `/users`, `/search`, `/contact`, `/info`, `/input`, and `/feedback`, along with APIs like `/api/sql` and `/api/database`, are designed to lure attackers into performing attacks such as **SQL injection** or **XSS**.
![sql injection](img/sql_injection.png)
Automated tools like **SQLMap** will receive a different randomized database error on each request, increasing scan noise and confusing the attacker. All detected attacks are logged and displayed in the dashboard.
## Customizing the Canary Token
To create a custom canary token, visit https://canarytokens.org
@@ -384,11 +322,13 @@ Access the dashboard at `http://<server-ip>:<port>/<dashboard-path>`
The dashboard shows:
- Total and unique accesses
- Suspicious activity detection
- Top IPs, paths, and user-agents
- Suspicious activity and attack detection
- Top IPs, paths, user-agents and GeoIP localization
- Real-time monitoring
The attackers' triggered honeypot path and the suspicious activity (such as failed login attempts) are logged
The attackers access to the honeypot endpoint and related suspicious activities (such as failed login attempts) are logged.
Krawl also implements a scoring system designed to distinguish between malicious and legitimate behavior on the website.
![dashboard-1](img/dashboard-1.png)
@@ -396,14 +336,7 @@ The top IP Addresses is shown along with top paths and User Agents
![dashboard-2](img/dashboard-2.png)
### Retrieving Dashboard Path
Check server startup logs or get the secret with
```bash
kubectl get secret krawl-server -n krawl-system \
-o jsonpath='{.data.dashboard-path}' | base64 -d && echo
```
![dashboard-3](img/dashboard-3.png)
## 🤝 Contributing

View File

@@ -22,12 +22,8 @@ canary:
dashboard:
# if set to "null" this will Auto-generates random path if not set
# can be set to "/dashboard" or similar <-- note this MUST include a forward slash
secret_path: super-secret-dashboard-path
api:
server_url: null
server_port: 8080
server_path: "/api/v2/users"
# secret_path: super-secret-dashboard-path
secret_path: null
database:
path: "data/krawl.db"

View File

@@ -2,8 +2,8 @@ apiVersion: v2
name: krawl-chart
description: A Helm chart for Krawl honeypot server
type: application
version: 0.2.1
appVersion: 0.2.1
version: 0.2.2
appVersion: 0.2.2
keywords:
- honeypot
- security

View File

@@ -10,6 +10,65 @@ A Helm chart for deploying the Krawl honeypot application on Kubernetes.
## Installation
### Helm Chart
Install with default values:
```bash
helm install krawl oci://ghcr.io/blessedrebus/krawl-chart \
--version 0.2.2 \
--namespace krawl-system \
--create-namespace
```
Or create a minimal `values.yaml` file:
```yaml
service:
type: LoadBalancer
port: 5000
ingress:
enabled: true
className: "traefik"
hosts:
- host: krawl.example.com
paths:
- path: /
pathType: Prefix
config:
server:
port: 5000
delay: 100
dashboard:
secret_path: null # Auto-generated if not set
database:
persistence:
enabled: true
size: 1Gi
```
Install with custom values:
```bash
helm install krawl oci://ghcr.io/blessedrebus/krawl-chart \
--version 0.2.2 \
--namespace krawl-system \
--create-namespace \
-f values.yaml
```
To access the deception server:
```bash
kubectl get svc krawl -n krawl-system
```
Once the EXTERNAL-IP is assigned, access your deception server at `http://<EXTERNAL-IP>:5000`
### Add the repository (if applicable)
```bash
@@ -176,6 +235,15 @@ The following table lists the main configuration parameters of the Krawl chart a
|-----------|-------------|---------|
| `networkPolicy.enabled` | Enable network policy | `true` |
### Retrieving Dashboard Path
Check server startup logs or get the secret with
```bash
kubectl get secret krawl-server -n krawl-system \
-o jsonpath='{.data.dashboard-path}' | base64 -d && echo
```
## Usage Examples
### Basic Installation

View File

@@ -43,6 +43,10 @@ spec:
env:
- name: CONFIG_LOCATION
value: "config.yaml"
{{- if .Values.timezone }}
- name: TZ
value: {{ .Values.timezone | quote }}
{{- end }}
volumeMounts:
- name: config
mountPath: /app/config.yaml

View File

@@ -49,6 +49,11 @@ resources:
cpu: 100m
memory: 64Mi
# Container timezone configuration
# Set this to change timezone (e.g., "America/New_York", "Europe/Rome")
# If not set, container will use its default timezone
timezone: ""
autoscaling:
enabled: false
minReplicas: 1
@@ -67,7 +72,6 @@ config:
server:
port: 5000
delay: 100
timezone: null # IANA timezone (e.g., "America/New_York", "Europe/Rome"). If not set, system timezone is used.
links:
min_length: 5
max_length: 15

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kubernetes/README.md Normal file
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@@ -0,0 +1,47 @@
### Kubernetes
Apply all manifests with:
```bash
kubectl apply -f https://raw.githubusercontent.com/BlessedRebuS/Krawl/refs/heads/main/kubernetes/krawl-all-in-one-deploy.yaml
```
Or clone the repo and apply the manifest:
```bash
kubectl apply -f kubernetes/krawl-all-in-one-deploy.yaml
```
Access the deception server:
```bash
kubectl get svc krawl-server -n krawl-system
```
Once the EXTERNAL-IP is assigned, access your deception server at `http://<EXTERNAL-IP>:5000`
### Retrieving Dashboard Path
Check server startup logs or get the secret with
```bash
kubectl get secret krawl-server -n krawl-system \
-o jsonpath='{.data.dashboard-path}' | base64 -d && echo
```
### From Source (Python 3.11+)
Clone the repository:
```bash
git clone https://github.com/blessedrebus/krawl.git
cd krawl/src
```
Run the server:
```bash
python3 server.py
```
Visit `http://localhost:5000` and access the dashboard at `http://localhost:5000/<dashboard-secret-path>`

View File

@@ -28,9 +28,6 @@ class Config:
canary_token_url: Optional[str] = None
canary_token_tries: int = 10
dashboard_secret_path: str = None
api_server_url: Optional[str] = None
api_server_port: int = 8080
api_server_path: str = "/api/v2/users"
probability_error_codes: int = 0 # Percentage (0-100)
# Crawl limiting settings - for legitimate vs malicious crawlers
@@ -187,9 +184,6 @@ class Config:
canary_token_url=canary.get("token_url"),
canary_token_tries=canary.get("token_tries", 10),
dashboard_secret_path=dashboard_path,
api_server_url=api.get("server_url"),
api_server_port=api.get("server_port", 8080),
api_server_path=api.get("server_path", "/api/v2/users"),
probability_error_codes=behavior.get("probability_error_codes", 0),
database_path=database.get("path", "data/krawl.db"),
database_retention_days=database.get("retention_days", 30),

View File

@@ -94,6 +94,9 @@ class DatabaseManager:
# Create all tables
Base.metadata.create_all(self._engine)
# Run automatic migrations for backward compatibility
self._run_migrations(database_path)
# Set restrictive file permissions (owner read/write only)
if os.path.exists(database_path):
try:
@@ -104,6 +107,47 @@ class DatabaseManager:
self._initialized = True
def _run_migrations(self, database_path: str) -> None:
"""
Run automatic migrations for backward compatibility.
Adds missing columns that were added in newer versions.
Args:
database_path: Path to the SQLite database file
"""
import sqlite3
try:
conn = sqlite3.connect(database_path)
cursor = conn.cursor()
# Check if latitude/longitude columns exist
cursor.execute("PRAGMA table_info(ip_stats)")
columns = [row[1] for row in cursor.fetchall()]
migrations_run = []
# Add latitude column if missing
if "latitude" not in columns:
cursor.execute("ALTER TABLE ip_stats ADD COLUMN latitude REAL")
migrations_run.append("latitude")
# Add longitude column if missing
if "longitude" not in columns:
cursor.execute("ALTER TABLE ip_stats ADD COLUMN longitude REAL")
migrations_run.append("longitude")
if migrations_run:
conn.commit()
applogger.info(
f"Auto-migration: Added columns {', '.join(migrations_run)} to ip_stats table"
)
conn.close()
except Exception as e:
applogger.error(f"Auto-migration failed: {e}")
# Don't raise - allow app to continue even if migration fails
@property
def session(self) -> Session:
"""Get a thread-local database session."""
@@ -399,6 +443,8 @@ class DatabaseManager:
asn_org: str,
list_on: Dict[str, str],
city: Optional[str] = None,
latitude: Optional[float] = None,
longitude: Optional[float] = None,
) -> None:
"""
Update IP rep stats
@@ -410,6 +456,8 @@ class DatabaseManager:
asn_org: IP address ASN ORG
list_on: public lists containing the IP address
city: City name (optional)
latitude: Latitude coordinate (optional)
longitude: Longitude coordinate (optional)
"""
session = self.session
@@ -423,6 +471,10 @@ class DatabaseManager:
ip_stats.list_on = list_on
if city:
ip_stats.city = city
if latitude is not None:
ip_stats.latitude = latitude
if longitude is not None:
ip_stats.longitude = longitude
session.commit()
except Exception as e:
session.rollback()
@@ -433,7 +485,7 @@ class DatabaseManager:
def get_unenriched_ips(self, limit: int = 100) -> List[str]:
"""
Get IPs that don't have complete reputation data yet.
Returns IPs without country_code OR without city data.
Returns IPs without country_code, city, latitude, or longitude data.
Excludes RFC1918 private addresses and other non-routable IPs.
Args:
@@ -442,27 +494,61 @@ class DatabaseManager:
Returns:
List of IP addresses without complete reputation data
"""
from sqlalchemy.exc import OperationalError
session = self.session
try:
ips = (
session.query(IpStats.ip)
.filter(
or_(IpStats.country_code.is_(None), IpStats.city.is_(None)),
~IpStats.ip.like("10.%"),
~IpStats.ip.like("172.16.%"),
~IpStats.ip.like("172.17.%"),
~IpStats.ip.like("172.18.%"),
~IpStats.ip.like("172.19.%"),
~IpStats.ip.like("172.2_.%"),
~IpStats.ip.like("172.30.%"),
~IpStats.ip.like("172.31.%"),
~IpStats.ip.like("192.168.%"),
~IpStats.ip.like("127.%"),
~IpStats.ip.like("169.254.%"),
# Try to query including latitude/longitude (for backward compatibility)
try:
ips = (
session.query(IpStats.ip)
.filter(
or_(
IpStats.country_code.is_(None),
IpStats.city.is_(None),
IpStats.latitude.is_(None),
IpStats.longitude.is_(None),
),
~IpStats.ip.like("10.%"),
~IpStats.ip.like("172.16.%"),
~IpStats.ip.like("172.17.%"),
~IpStats.ip.like("172.18.%"),
~IpStats.ip.like("172.19.%"),
~IpStats.ip.like("172.2_.%"),
~IpStats.ip.like("172.30.%"),
~IpStats.ip.like("172.31.%"),
~IpStats.ip.like("192.168.%"),
~IpStats.ip.like("127.%"),
~IpStats.ip.like("169.254.%"),
)
.limit(limit)
.all()
)
.limit(limit)
.all()
)
except OperationalError as e:
# If latitude/longitude columns don't exist yet, fall back to old query
if "no such column" in str(e).lower():
ips = (
session.query(IpStats.ip)
.filter(
or_(IpStats.country_code.is_(None), IpStats.city.is_(None)),
~IpStats.ip.like("10.%"),
~IpStats.ip.like("172.16.%"),
~IpStats.ip.like("172.17.%"),
~IpStats.ip.like("172.18.%"),
~IpStats.ip.like("172.19.%"),
~IpStats.ip.like("172.2_.%"),
~IpStats.ip.like("172.30.%"),
~IpStats.ip.like("172.31.%"),
~IpStats.ip.like("192.168.%"),
~IpStats.ip.like("127.%"),
~IpStats.ip.like("169.254.%"),
)
.limit(limit)
.all()
)
else:
raise
return [ip[0] for ip in ips]
finally:
self.close_session()
@@ -718,6 +804,8 @@ class DatabaseManager:
"last_seen": a.last_seen.isoformat() if a.last_seen else None,
"country_code": a.country_code,
"city": a.city,
"latitude": a.latitude,
"longitude": a.longitude,
"asn": a.asn,
"asn_org": a.asn_org,
"reputation_score": a.reputation_score,
@@ -813,6 +901,8 @@ class DatabaseManager:
"last_seen": ip.last_seen.isoformat() if ip.last_seen else None,
"country_code": ip.country_code,
"city": ip.city,
"latitude": ip.latitude,
"longitude": ip.longitude,
"asn": ip.asn,
"asn_org": ip.asn_org,
"reputation_score": ip.reputation_score,

View File

@@ -1,2 +0,0 @@
175.23.45.67
210.45.67.89

View File

@@ -493,6 +493,47 @@ class Handler(BaseHTTPRequestHandler):
return
user_agent = self._get_user_agent()
# Handle static files for dashboard
if self.config.dashboard_secret_path and self.path.startswith(
f"{self.config.dashboard_secret_path}/static/"
):
import os
file_path = self.path.replace(
f"{self.config.dashboard_secret_path}/static/", ""
)
static_dir = os.path.join(os.path.dirname(__file__), "templates", "static")
full_path = os.path.join(static_dir, file_path)
# Security check: ensure the path is within static directory
if os.path.commonpath(
[full_path, static_dir]
) == static_dir and os.path.exists(full_path):
try:
with open(full_path, "rb") as f:
content = f.read()
self.send_response(200)
if file_path.endswith(".svg"):
self.send_header("Content-type", "image/svg+xml")
elif file_path.endswith(".css"):
self.send_header("Content-type", "text/css")
elif file_path.endswith(".js"):
self.send_header("Content-type", "application/javascript")
else:
self.send_header("Content-type", "application/octet-stream")
self.send_header("Content-Length", str(len(content)))
self.end_headers()
self.wfile.write(content)
return
except Exception as e:
self.app_logger.error(f"Error serving static file: {e}")
self.send_response(404)
self.send_header("Content-type", "text/plain")
self.end_headers()
self.wfile.write(b"Not found")
return
if (
self.config.dashboard_secret_path
and self.path == self.config.dashboard_secret_path

View File

@@ -8,7 +8,16 @@ Stores access logs, credential attempts, attack detections, and IP statistics.
from datetime import datetime
from typing import Optional, List, Dict
from sqlalchemy import String, Integer, Boolean, DateTime, ForeignKey, Index, JSON
from sqlalchemy import (
String,
Integer,
Boolean,
DateTime,
Float,
ForeignKey,
Index,
JSON,
)
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
from sanitizer import (
@@ -153,6 +162,8 @@ class IpStats(Base):
# GeoIP fields (populated by future enrichment)
country_code: Mapped[Optional[str]] = mapped_column(String(2), nullable=True)
city: Mapped[Optional[str]] = mapped_column(String(MAX_CITY_LENGTH), nullable=True)
latitude: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
longitude: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
asn: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
asn_org: Mapped[Optional[str]] = mapped_column(
String(MAX_ASN_ORG_LENGTH), nullable=True

View File

@@ -29,26 +29,26 @@ def print_usage():
print("If no file is provided, random links will be generated.\n")
print("Configuration:")
print(" Configuration is loaded from a YAML file (default: config.yaml)")
print(" Set CONFIG_LOCATION environment variable to use a different file.\n")
print(" Example config.yaml structure:")
print(" server:")
print(" port: 5000")
print(" delay: 100")
print(" links:")
print(" min_length: 5")
print(" max_length: 15")
print(" min_per_page: 10")
print(" max_per_page: 15")
print(" canary:")
print(" token_url: null")
print(" token_tries: 10")
print(" dashboard:")
print(" secret_path: null # auto-generated if not set")
print(" database:")
print(' path: "data/krawl.db"')
print(" retention_days: 30")
print(" behavior:")
print(" probability_error_codes: 0")
print("Set CONFIG_LOCATION environment variable to use a different file.\n")
print("Example config.yaml structure:")
print("server:")
print("port: 5000")
print("delay: 100")
print("links:")
print("min_length: 5")
print("max_length: 15")
print("min_per_page: 10")
print("max_per_page: 15")
print("canary:")
print("token_url: null")
print("token_tries: 10")
print("dashboard:")
print("secret_path: null # auto-generated if not set")
print("database:")
print('path: "data/krawl.db"')
print("retention_days: 30")
print("behavior:")
print("probability_error_codes: 0")
def main():
@@ -103,8 +103,16 @@ def main():
tasks_master.run_scheduled_tasks()
try:
banner = f"""
============================================================
DASHBOARD AVAILABLE AT
{config.dashboard_secret_path}
============================================================
"""
app_logger.info(banner)
app_logger.info(f"Starting deception server on port {config.port}...")
app_logger.info(f"Dashboard available at: {config.dashboard_secret_path}")
if config.canary_token_url:
app_logger.info(
f"Canary token will appear after {config.canary_token_tries} tries"

View File

@@ -45,6 +45,8 @@ def main():
country_iso_code = geoip_data.get("country_iso_code")
asn = geoip_data.get("asn_autonomous_system_number")
asn_org = geoip_data.get("asn_autonomous_system_organization")
latitude = geoip_data.get("location_latitude")
longitude = geoip_data.get("location_longitude")
# Extract city from coordinates using reverse geocoding
city = extract_city_from_coordinates(geoip_data)
@@ -62,6 +64,8 @@ def main():
sanitized_asn_org,
sanitized_list_on,
sanitized_city,
latitude,
longitude,
)
except requests.RequestException as e:
app_logger.warning(f"Failed to fetch IP rep for {ip}: {e}")

View File

@@ -6,7 +6,7 @@ from zoneinfo import ZoneInfo
from logger import get_app_logger
from database import get_database
from config import get_config
from models import AccessLog
from models import AccessLog, IpStats
from ip_utils import is_local_or_private_ip, is_valid_public_ip
from sqlalchemy import distinct
@@ -44,7 +44,8 @@ def has_recent_honeypot_access(session, minutes: int = 5) -> bool:
def main():
"""
Export all IPs flagged as suspicious to a text file.
Export all attacker IPs to a text file, matching the "Attackers by Total Requests" dashboard table.
Uses the same query as the dashboard: IpStats where category == "attacker", ordered by total_requests.
TasksMaster will call this function based on the cron schedule.
"""
task_name = TASK_CONFIG.get("name")
@@ -61,10 +62,11 @@ def main():
)
return
# Query distinct suspicious IPs
results = (
session.query(distinct(AccessLog.ip))
.filter(AccessLog.is_suspicious == True)
# Query attacker IPs from IpStats (same as dashboard "Attackers by Total Requests")
attackers = (
session.query(IpStats)
.filter(IpStats.category == "attacker")
.order_by(IpStats.total_requests.desc())
.all()
)
@@ -72,7 +74,11 @@ def main():
config = get_config()
server_ip = config.get_server_ip()
public_ips = [ip for (ip,) in results if is_valid_public_ip(ip, server_ip)]
public_ips = [
attacker.ip
for attacker in attackers
if is_valid_public_ip(attacker.ip, server_ip)
]
# Ensure exports directory exists
os.makedirs(EXPORTS_DIR, exist_ok=True)
@@ -83,8 +89,8 @@ def main():
f.write(f"{ip}\n")
app_logger.info(
f"[Background Task] {task_name} exported {len(public_ips)} public IPs "
f"(filtered {len(results) - len(public_ips)} local/private IPs) to {OUTPUT_FILE}"
f"[Background Task] {task_name} exported {len(public_ips)} attacker IPs "
f"(filtered {len(attackers) - len(public_ips)} local/private IPs) to {OUTPUT_FILE}"
)
except Exception as e:

View File

@@ -68,6 +68,7 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
<head>
<meta charset="UTF-8">
<title>Krawl Dashboard</title>
<link rel="icon" type="image/svg+xml" href="https://raw.githubusercontent.com/BlessedRebuS/Krawl/refs/heads/main/img/krawl-svg.svg" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.9.4/leaflet.min.css" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.9.4/leaflet.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/3.9.1/chart.min.js"></script>
@@ -84,6 +85,30 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
margin: 0 auto;
position: relative;
}}
.github-logo {{
position: absolute;
top: 0;
left: 0;
display: flex;
align-items: center;
gap: 8px;
text-decoration: none;
color: #58a6ff;
transition: color 0.2s;
}}
.github-logo:hover {{
color: #79c0ff;
}}
.github-logo svg {{
width: 32px;
height: 32px;
fill: currentColor;
}}
.github-logo-text {{
font-size: 14px;
font-weight: 600;
text-decoration: none;
}}
h1 {{
color: #58a6ff;
text-align: center;
@@ -536,17 +561,25 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
filter: none;
}}
.leaflet-popup-content-wrapper {{
background-color: #161b22;
background-color: #0d1117;
color: #c9d1d9;
border: 1px solid #30363d;
border-radius: 4px;
border-radius: 6px;
padding: 0;
}}
.leaflet-popup-content {{
margin: 0;
min-width: 280px;
}}
.leaflet-popup-content-wrapper a {{
color: #58a6ff;
}}
.leaflet-popup-tip {{
background: #161b22;
border-top: 6px solid #30363d;
background: #0d1117;
border: 1px solid #30363d;
}}
.ip-detail-popup .leaflet-popup-content-wrapper {{
max-width: 340px !important;
}}
/* Remove the default leaflet icon background */
.ip-custom-marker {{
@@ -614,6 +647,12 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
</head>
<body>
<div class="container">
<a href="https://github.com/BlessedRebuS/Krawl" class="github-logo" target="_blank" rel="noopener noreferrer">
<svg viewBox="0 0 16 16" xmlns="http://www.w3.org/2000/svg">
<path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.012 8.012 0 0 0 16 8c0-4.42-3.58-8-8-8z"/>
</svg>
<span class="github-logo-text">BlessedRebuS/Krawl</span>
</a>
<div class="download-section">
<a href="{dashboard_path}/api/download/malicious_ips.txt" class="download-btn" download>
Export Malicious IPs
@@ -767,23 +806,23 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
<div style="display: flex; gap: 16px; align-items: center; flex-wrap: wrap;">
<label style="display: flex; align-items: center; gap: 6px; cursor: pointer; color: #c9d1d9; font-size: 13px;">
<input type="checkbox" id="filter-attacker" checked onchange="updateMapFilters()" style="cursor: pointer;">
<span style="color: #f85149;">Attackers</span>
<span style="color: #f85149;">Attackers</span>
</label>
<label style="display: flex; align-items: center; gap: 6px; cursor: pointer; color: #c9d1d9; font-size: 13px;">
<input type="checkbox" id="filter-bad-crawler" checked onchange="updateMapFilters()" style="cursor: pointer;">
<span style="color: #f0883e;">Bad Crawlers</span>
<span style="color: #f0883e;">Bad Crawlers</span>
</label>
<label style="display: flex; align-items: center; gap: 6px; cursor: pointer; color: #c9d1d9; font-size: 13px;">
<input type="checkbox" id="filter-good-crawler" checked onchange="updateMapFilters()" style="cursor: pointer;">
<span style="color: #3fb950;">Good Crawlers</span>
<span style="color: #3fb950;">Good Crawlers</span>
</label>
<label style="display: flex; align-items: center; gap: 6px; cursor: pointer; color: #c9d1d9; font-size: 13px;">
<input type="checkbox" id="filter-regular-user" checked onchange="updateMapFilters()" style="cursor: pointer;">
<span style="color: #58a6ff;">Regular Users</span>
<span style="color: #58a6ff;">Regular Users</span>
</label>
<label style="display: flex; align-items: center; gap: 6px; cursor: pointer; color: #c9d1d9; font-size: 13px;">
<input type="checkbox" id="filter-unknown" checked onchange="updateMapFilters()" style="cursor: pointer;">
<span style="color: #8b949e;">Unknown</span>
<span style="color: #8b949e;">Unknown</span>
</label>
</div>
</div>
@@ -884,8 +923,11 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
</div>
<div class="table-container alert-section" style="margin-top: 20px;">
<h2>Most Recurring Attack Types</h2>
<div style="position: relative; height: 400px; margin-top: 20px;">
<div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 20px;">
<h2 style="margin: 0;">Most Recurring Attack Types</h2>
<div style="font-size: 12px; color: #8b949e;">Top 10 Attack Vectors</div>
</div>
<div style="position: relative; height: 450px; margin-top: 20px;">
<canvas id="attack-types-chart"></canvas>
</div>
</div>
@@ -1221,6 +1263,97 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
return html;
}}
// Generate radar chart for map panel
function generateMapPanelRadarChart(categoryScores) {{
if (!categoryScores || Object.keys(categoryScores).length === 0) {{
return '<div style="color: #8b949e; text-align: center; padding: 20px;">No category data available</div>';
}}
let html = '<div style="display: flex; flex-direction: column; align-items: center;">';
html += '<svg class="radar-chart" viewBox="-30 -30 260 260" preserveAspectRatio="xMidYMid meet" style="width: 160px; height: 160px;">';
const scores = {{
attacker: categoryScores.attacker || 0,
good_crawler: categoryScores.good_crawler || 0,
bad_crawler: categoryScores.bad_crawler || 0,
regular_user: categoryScores.regular_user || 0,
unknown: categoryScores.unknown || 0
}};
const maxScore = Math.max(...Object.values(scores), 1);
const minVisibleRadius = 0.15;
const normalizedScores = {{}};
Object.keys(scores).forEach(key => {{
normalizedScores[key] = minVisibleRadius + (scores[key] / maxScore) * (1 - minVisibleRadius);
}});
const colors = {{
attacker: '#f85149',
good_crawler: '#3fb950',
bad_crawler: '#f0883e',
regular_user: '#58a6ff',
unknown: '#8b949e'
}};
const labels = {{
attacker: 'Attacker',
good_crawler: 'Good Bot',
bad_crawler: 'Bad Bot',
regular_user: 'User',
unknown: 'Unknown'
}};
const cx = 100, cy = 100, maxRadius = 75;
for (let i = 1; i <= 5; i++) {{
const r = (maxRadius / 5) * i;
html += `<circle cx="${{cx}}" cy="${{cy}}" r="${{r}}" fill="none" stroke="#30363d" stroke-width="0.5"/>`;
}}
const angles = [0, 72, 144, 216, 288];
const keys = ['good_crawler', 'regular_user', 'unknown', 'bad_crawler', 'attacker'];
angles.forEach((angle, i) => {{
const rad = (angle - 90) * Math.PI / 180;
const x2 = cx + maxRadius * Math.cos(rad);
const y2 = cy + maxRadius * Math.sin(rad);
html += `<line x1="${{cx}}" y1="${{cy}}" x2="${{x2}}" y2="${{y2}}" stroke="#30363d" stroke-width="0.5"/>`;
const labelDist = maxRadius + 35;
const lx = cx + labelDist * Math.cos(rad);
const ly = cy + labelDist * Math.sin(rad);
html += `<text x="${{lx}}" y="${{ly}}" fill="#8b949e" font-size="12" text-anchor="middle" dominant-baseline="middle">${{labels[keys[i]]}}</text>`;
}});
let points = [];
angles.forEach((angle, i) => {{
const normalizedScore = normalizedScores[keys[i]];
const rad = (angle - 90) * Math.PI / 180;
const r = normalizedScore * maxRadius;
const x = cx + r * Math.cos(rad);
const y = cy + r * Math.sin(rad);
points.push(`${{x}},${{y}}`);
}});
const dominantKey = Object.keys(scores).reduce((a, b) => scores[a] > scores[b] ? a : b);
const dominantColor = colors[dominantKey];
html += `<polygon points="${{points.join(' ')}}" fill="${{dominantColor}}" fill-opacity="0.4" stroke="${{dominantColor}}" stroke-width="2.5"/>`;
angles.forEach((angle, i) => {{
const normalizedScore = normalizedScores[keys[i]];
const rad = (angle - 90) * Math.PI / 180;
const r = normalizedScore * maxRadius;
const x = cx + r * Math.cos(rad);
const y = cy + r * Math.sin(rad);
html += `<circle cx="${{x}}" cy="${{y}}" r="4.5" fill="${{colors[keys[i]]}}" stroke="#0d1117" stroke-width="2"/>`;
}});
html += '</svg>';
html += '</div>';
return html;
}}
// Tab functionality with hash-based routing
function switchTab(tabName) {{
// Hide all tabs
@@ -2041,7 +2174,11 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
// Helper function to get coordinates for an IP
function getIPCoordinates(ip) {{
// Try city first
// Use actual latitude and longitude if available
if (ip.latitude != null && ip.longitude != null) {{
return [ip.latitude, ip.longitude];
}}
// Fall back to city lookup
if (ip.city && cityCoordinates[ip.city]) {{
return cityCoordinates[ip.city];
}}
@@ -2102,9 +2239,11 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
const category = ip.category.toLowerCase();
if (!markerLayers[category]) return;
// Calculate marker size based on request count
const sizeRatio = (ip.total_requests / maxRequests) * 0.7 + 0.3;
const markerSize = Math.max(15, Math.min(40, 20 * sizeRatio));
// Calculate marker size based on request count with more dramatic scaling
// Scale up to 10,000 requests, then cap it
const requestsForScale = Math.min(ip.total_requests, 10000);
const sizeRatio = Math.pow(requestsForScale / 10000, 0.5); // Square root for better visual scaling
const markerSize = Math.max(10, Math.min(30, 10 + (sizeRatio * 20)));
// Create custom marker element with category-specific class
const markerElement = document.createElement('div');
@@ -2122,7 +2261,7 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
}})
}});
// Create popup content with category badge
// Create popup with category badge and chart
const categoryColor = categoryColors[category] || '#8b949e';
const categoryLabels = {{
attacker: 'Attacker',
@@ -2132,26 +2271,103 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
unknown: 'Unknown'
}};
const popupContent = `
<div style="padding: 8px; min-width: 220px;">
<div style="display: flex; align-items: center; justify-content: space-between; margin-bottom: 8px;">
<strong style="color: #58a6ff;">${{ip.ip}}</strong>
<span style="background: ${{categoryColor}}1a; color: ${{categoryColor}}; padding: 2px 8px; border-radius: 12px; font-size: 11px; font-weight: 600;">
${{categoryLabels[category]}}
</span>
</div>
<span style="color: #8b949e; font-size: 12px;">
${{ip.city ? (ip.country_code ? `${{ip.city}}, ${{ip.country_code}}` : ip.city) : (ip.country_code || 'Unknown')}}
</span><br/>
<div style="margin-top: 8px; border-top: 1px solid #30363d; padding-top: 8px;">
<div><span style="color: #8b949e;">Requests:</span> <span style="color: ${{categoryColor}}; font-weight: bold;">${{ip.total_requests}}</span></div>
<div><span style="color: #8b949e;">First Seen:</span> <span style="color: #58a6ff;">${{formatTimestamp(ip.first_seen)}}</span></div>
<div><span style="color: #8b949e;">Last Seen:</span> <span style="color: #58a6ff;">${{formatTimestamp(ip.last_seen)}}</span></div>
</div>
</div>
`;
// Bind popup once when marker is created
marker.bindPopup('', {{
maxWidth: 550,
className: 'ip-detail-popup'
}});
// Add click handler to fetch data and show popup
marker.on('click', async function(e) {{
// Show loading popup first
const loadingPopup = `
<div style="padding: 12px; min-width: 280px; max-width: 320px;">
<div style="display: flex; align-items: center; justify-content: space-between; margin-bottom: 8px;">
<strong style="color: #58a6ff; font-size: 14px;">${{ip.ip}}</strong>
<span style="background: ${{categoryColor}}1a; color: ${{categoryColor}}; padding: 2px 8px; border-radius: 12px; font-size: 11px; font-weight: 600;">
${{categoryLabels[category]}}
</span>
</div>
<div style="text-align: center; padding: 20px; color: #8b949e;">
<div style="font-size: 12px;">Loading details...</div>
</div>
</div>
`;
marker.setPopupContent(loadingPopup);
marker.openPopup();
try {{
console.log('Fetching IP stats for:', ip.ip);
const response = await fetch(`${{DASHBOARD_PATH}}/api/ip-stats/${{ip.ip}}`);
if (!response.ok) throw new Error('Failed to fetch IP stats');
const stats = await response.json();
console.log('Received stats:', stats);
// Build complete popup content with chart
let popupContent = `
<div style="padding: 12px; min-width: 200px;">
<div style="display: flex; align-items: center; justify-content: space-between; margin-bottom: 8px;">
<strong style="color: #58a6ff; font-size: 14px;">${{ip.ip}}</strong>
<span style="background: ${{categoryColor}}1a; color: ${{categoryColor}}; padding: 2px 8px; border-radius: 12px; font-size: 11px; font-weight: 600;">
${{categoryLabels[category]}}
</span>
</div>
<span style="color: #8b949e; font-size: 12px;">
${{ip.city ? (ip.country_code ? `${{ip.city}}, ${{ip.country_code}}` : ip.city) : (ip.country_code || 'Unknown')}}
</span><br/>
<div style="margin-top: 8px; border-top: 1px solid #30363d; padding-top: 8px;">
<div style="margin-bottom: 4px;"><span style="color: #8b949e;">Requests:</span> <span style="color: ${{categoryColor}}; font-weight: bold;">${{ip.total_requests}}</span></div>
<div style="margin-bottom: 4px;"><span style="color: #8b949e;">First Seen:</span> <span style="color: #58a6ff; font-size: 11px;">${{formatTimestamp(ip.first_seen)}}</span></div>
<div style="margin-bottom: 4px;"><span style="color: #8b949e;">Last Seen:</span> <span style="color: #58a6ff; font-size: 11px;">${{formatTimestamp(ip.last_seen)}}</span></div>
</div>
`;
// Add chart if category scores exist
if (stats.category_scores && Object.keys(stats.category_scores).length > 0) {{
console.log('Category scores found:', stats.category_scores);
const chartHtml = generateMapPanelRadarChart(stats.category_scores);
console.log('Generated chart HTML length:', chartHtml.length);
popupContent += `
<div style="margin-top: 12px; border-top: 1px solid #30363d; padding-top: 12px;">
${{chartHtml}}
</div>
`;
}}
popupContent += '</div>';
// Update popup content
console.log('Updating popup content');
marker.setPopupContent(popupContent);
}} catch (err) {{
console.error('Error fetching IP stats:', err);
const errorPopup = `
<div style="padding: 12px; min-width: 280px; max-width: 320px;">
<div style="display: flex; align-items: center; justify-content: space-between; margin-bottom: 8px;">
<strong style="color: #58a6ff; font-size: 14px;">${{ip.ip}}</strong>
<span style="background: ${{categoryColor}}1a; color: ${{categoryColor}}; padding: 2px 8px; border-radius: 12px; font-size: 11px; font-weight: 600;">
${{categoryLabels[category]}}
</span>
</div>
<span style="color: #8b949e; font-size: 12px;">
${{ip.city ? (ip.country_code ? `${{ip.city}}, ${{ip.country_code}}` : ip.city) : (ip.country_code || 'Unknown')}}
</span><br/>
<div style="margin-top: 8px; border-top: 1px solid #30363d; padding-top: 8px;">
<div style="margin-bottom: 4px;"><span style="color: #8b949e;">Requests:</span> <span style="color: ${{categoryColor}}; font-weight: bold;">${{ip.total_requests}}</span></div>
<div style="margin-bottom: 4px;"><span style="color: #8b949e;">First Seen:</span> <span style="color: #58a6ff; font-size: 11px;">${{formatTimestamp(ip.first_seen)}}</span></div>
<div style="margin-bottom: 4px;"><span style="color: #8b949e;">Last Seen:</span> <span style="color: #58a6ff; font-size: 11px;">${{formatTimestamp(ip.last_seen)}}</span></div>
</div>
<div style="margin-top: 12px; border-top: 1px solid #30363d; padding-top: 12px; text-align: center; color: #f85149; font-size: 11px;">
Failed to load chart: ${{err.message}}
</div>
</div>
`;
marker.setPopupContent(errorPopup);
}}
}});
marker.bindPopup(popupContent);
markerLayers[category].addLayer(marker);
}});
@@ -2270,23 +2486,51 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
const labels = sortedAttacks.map(([type]) => type);
const counts = sortedAttacks.map(([, count]) => count);
const maxCount = Math.max(...counts);
// Define colors for different attack types
// Enhanced color palette with gradients
const colorMap = {{
'SQL Injection': '#0969da',
'XSS': '#1f6feb',
'Directory Traversal': '#2f81f7',
'Command Injection': '#54aeff',
'Path Traversal': '#79c0ff',
'Malware': '#58a6ff',
'Brute Force': '#388bfd',
'DDoS': '#1a7ae8',
'CSRF': '#0860ca',
'File Upload': '#1158d4'
'SQL Injection': 'rgba(233, 105, 113, 0.85)',
'XSS': 'rgba(240, 136, 62, 0.85)',
'Directory Traversal': 'rgba(248, 150, 56, 0.85)',
'Command Injection': 'rgba(229, 229, 16, 0.85)',
'Path Traversal': 'rgba(123, 201, 71, 0.85)',
'Malware': 'rgba(88, 166, 255, 0.85)',
'Brute Force': 'rgba(79, 161, 246, 0.85)',
'DDoS': 'rgba(139, 148, 244, 0.85)',
'CSRF': 'rgba(188, 140, 258, 0.85)',
'File Upload': 'rgba(241, 107, 223, 0.85)'
}};
const backgroundColors = labels.map(label => colorMap[label] || '#58a6ff');
const borderColors = labels.map(label => colorMap[label] || '#58a6ff');
const borderColorMap = {{
'SQL Injection': 'rgba(233, 105, 113, 1)',
'XSS': 'rgba(240, 136, 62, 1)',
'Directory Traversal': 'rgba(248, 150, 56, 1)',
'Command Injection': 'rgba(229, 229, 16, 1)',
'Path Traversal': 'rgba(123, 201, 71, 1)',
'Malware': 'rgba(88, 166, 255, 1)',
'Brute Force': 'rgba(79, 161, 246, 1)',
'DDoS': 'rgba(139, 148, 244, 1)',
'CSRF': 'rgba(188, 140, 258, 1)',
'File Upload': 'rgba(241, 107, 223, 1)'
}};
const hoverColorMap = {{
'SQL Injection': 'rgba(233, 105, 113, 1)',
'XSS': 'rgba(240, 136, 62, 1)',
'Directory Traversal': 'rgba(248, 150, 56, 1)',
'Command Injection': 'rgba(229, 229, 16, 1)',
'Path Traversal': 'rgba(123, 201, 71, 1)',
'Malware': 'rgba(88, 166, 255, 1)',
'Brute Force': 'rgba(79, 161, 246, 1)',
'DDoS': 'rgba(139, 148, 244, 1)',
'CSRF': 'rgba(188, 140, 258, 1)',
'File Upload': 'rgba(241, 107, 223, 1)'
}};
const backgroundColors = labels.map(label => colorMap[label] || 'rgba(88, 166, 255, 0.85)');
const borderColors = labels.map(label => borderColorMap[label] || 'rgba(88, 166, 255, 1)');
const hoverColors = labels.map(label => hoverColorMap[label] || 'rgba(88, 166, 255, 1)');
// Create or update chart
if (attackTypesChart) {{
@@ -2302,9 +2546,9 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
data: counts,
backgroundColor: backgroundColors,
borderColor: borderColors,
borderWidth: 1.5,
borderRadius: 4,
hoverBackgroundColor: borderColors
borderWidth: 2,
borderRadius: 6,
borderSkipped: false
}}]
}},
options: {{
@@ -2316,22 +2560,31 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
display: false
}},
tooltip: {{
backgroundColor: '#161b22',
enabled: true,
backgroundColor: 'rgba(22, 27, 34, 0.95)',
titleColor: '#58a6ff',
bodyColor: '#c9d1d9',
borderColor: '#30363d',
borderWidth: 1,
padding: 10,
borderColor: '#58a6ff',
borderWidth: 2,
padding: 14,
displayColors: false,
titleFont: {{
size: 13,
weight: 'bold'
size: 14,
weight: 'bold',
family: "'Segoe UI', Tahoma, Geneva, Verdana"
}},
bodyFont: {{
size: 12
size: 13,
family: "'Segoe UI', Tahoma, Geneva, Verdana"
}},
caretSize: 8,
caretPadding: 12,
callbacks: {{
title: function(context) {{
return '';
}},
label: function(context) {{
return 'Occurrences: ' + context.parsed.x;
return context.parsed.x;
}}
}}
}}
@@ -2342,29 +2595,63 @@ def generate_dashboard(stats: dict, dashboard_path: str = "") -> str:
ticks: {{
color: '#8b949e',
font: {{
size: 11
size: 12,
weight: '500'
}}
}},
grid: {{
color: '#30363d',
drawBorder: false
color: 'rgba(48, 54, 61, 0.4)',
drawBorder: false,
drawTicks: false
}}
}},
y: {{
ticks: {{
color: '#c9d1d9',
font: {{
size: 12
size: 13,
weight: '600'
}},
padding: 10
padding: 12,
callback: function(value, index) {{
const label = this.getLabelForValue(value);
const maxLength = 25;
return label.length > maxLength ? label.substring(0, maxLength) + '' : label;
}}
}},
grid: {{
display: false,
drawBorder: false
}}
}}
}},
animation: {{
duration: 1000,
easing: 'easeInOutQuart',
delay: (context) => {{
let delay = 0;
if (context.type === 'data') {{
delay = context.dataIndex * 50 + context.datasetIndex * 100;
}}
return delay;
}}
}},
onHover: (event, activeElements) => {{
canvas.style.cursor = activeElements.length > 0 ? 'pointer' : 'default';
}}
}}
}},
plugins: [{{
id: 'customCanvasBackgroundColor',
beforeDraw: (chart) => {{
if (chart.ctx) {{
chart.ctx.save();
chart.ctx.globalCompositeOperation = 'destination-over';
chart.ctx.fillStyle = 'rgba(0,0,0,0)';
chart.ctx.fillRect(0, 0, chart.width, chart.height);
chart.ctx.restore();
}}
}}
}}]
}});
attackTypesChartLoaded = true;

View File

@@ -2,7 +2,7 @@
<html>
<head>
<meta charset="UTF-8">
<title>Krawl</title>
<title>Krawl me!</title>
<style>
body {{
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;

View File

@@ -0,0 +1,95 @@
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After

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@@ -308,11 +308,28 @@ def generate_fake_data(
# Select random IPs from the pool
selected_ips = random.sample(FAKE_IPS, min(num_ips, len(FAKE_IPS)))
for ip in selected_ips:
app_logger.info(f"\nGenerating data for IP: {ip}")
# Create a varied distribution of request counts for better visualization
# Some IPs with very few requests, some with moderate, some with high
request_counts = []
for i in range(len(selected_ips)):
if i < len(selected_ips) // 5: # 20% high-traffic IPs
count = random.randint(1000, 10000)
elif i < len(selected_ips) // 2: # 30% medium-traffic IPs
count = random.randint(100, 1000)
else: # 50% low-traffic IPs
count = random.randint(5, 100)
request_counts.append(count)
random.shuffle(request_counts) # Randomize the order
for idx, ip in enumerate(selected_ips):
current_logs_count = request_counts[idx]
app_logger.info(
f"\nGenerating data for IP: {ip} ({current_logs_count} requests)"
)
# Generate access logs for this IP
for _ in range(logs_per_ip):
for _ in range(current_logs_count):
path = random.choice(FAKE_PATHS)
user_agent = random.choice(FAKE_USER_AGENTS)
is_suspicious = random.choice(
@@ -358,7 +375,7 @@ def generate_fake_data(
if cred_id:
total_credentials += 1
app_logger.info(f" ✓ Generated {logs_per_ip} access logs")
app_logger.info(f" ✓ Generated {current_logs_count} access logs")
app_logger.info(f" ✓ Generated {credentials_per_ip} credential attempts")
# Fetch geolocation data from API