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Shodan Reconnaissance
ASecurityThis skill should be used when the user asks to "search for exposed devices on the internet," "perform Shodan reconnaissance," "find vulnerable services using Shodan," "scan IP ranges...
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- Added September 11, 2026
Works with
Security analysis
96/100- Installs packages at runtime which could introduce malicious dependencies
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[](https://www.skillsdirectory.com/skills/ranbot-ai-shodan-reconnaissance)---
name: shodan-reconnaissance
description: This skill should be used when the user asks to "search for exposed devices on the internet," "perform Shodan reconnaissance," "find vulnerable services using Shodan," "scan IP ranges...
category: Security & Systems
source: antigravity
tags: [python, api, ai, automation, workflow, document, pentest, vulnerability, docker, rag]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/shodan-reconnaissance
---
# Shodan Reconnaissance and Pentesting
## Purpose
Provide systematic methodologies for leveraging Shodan as a reconnaissance tool during penetration testing engagements. This skill covers the Shodan web interface, command-line interface (CLI), REST API, search filters, on-demand scanning, and network monitoring capabilities for discovering exposed services, vulnerable systems, and IoT devices.
## Inputs / Prerequisites
- **Shodan Account**: Free or paid account at shodan.io
- **API Key**: Obtained from Shodan account dashboard
- **Target Information**: IP addresses, domains, or network ranges to investigate
- **Shodan CLI**: Python-based command-line tool installed
- **Authorization**: Written permission for reconnaissance on target networks
## Outputs / Deliverables
- **Asset Inventory**: List of discovered hosts, ports, and services
- **Vulnerability Report**: Identified CVEs and exposed vulnerable services
- **Banner Data**: Service banners revealing software versions
- **Network Mapping**: Geographic and organizational distribution of assets
- **Screenshot Gallery**: Visual reconnaissance of exposed interfaces
- **Exported Data**: JSON/CSV files for further analysis
## Core Workflow
### 1. Setup and Configuration
#### Install Shodan CLI
```bash
# Using pip
pip install shodan
# Or easy_install
easy_install shodan
# On BlackArch/Arch Linux
sudo pacman -S python-shodan
```
#### Initialize API Key
```bash
# Set your API key
shodan init YOUR_API_KEY
# Verify setup
shodan info
# Output: Query credits available: 100
# Scan credits available: 100
```
#### Check Account Status
```bash
# View credits and plan info
shodan info
# Check your external IP
shodan myip
# Check CLI version
shodan version
```
### 2. Basic Host Reconnaissance
#### Query Single Host
```bash
# Get all information about an IP
shodan host 1.1.1.1
# Example output:
# 1.1.1.1
# Hostnames: one.one.one.one
# Country: Australia
# Organization: Mountain View Communications
# Number of open ports: 3
# Ports:
# 53/udp
# 80/tcp
# 443/tcp
```
#### Check if Host is Honeypot
```bash
# Get honeypot probability score
shodan honeyscore 192.168.1.100
# Output: Not a honeypot
# Score: 0.3
```
### 3. Search Queries
#### Basic Search (Free)
```bash
# Simple keyword search (no credits consumed)
shodan search apache
# Specify output fields
shodan search --fields ip_str,port,os smb
```
#### Filtered Search (1 Credit)
```bash
# Product-specific search
shodan search product:mongodb
# Search with multiple filters
shodan search product:nginx country:US city:"New York"
```
#### Count Results
```bash
# Get result count without consuming credits
shodan count openssh
# Output: 23128
shodan count openssh 7
# Output: 219
```
#### Download Results
```bash
# Download 1000 results (default)
shodan download results.json.gz "apache country:US"
# Download specific number of results
shodan download --limit 5000 results.json.gz "nginx"
# Download all available results
shodan download --limit -1 all_results.json.gz "query"
```
#### Parse Downloaded Data
```bash
# Extract specific fields from downloaded data
shodan parse --fields ip_str,port,hostnames results.json.gz
# Filter by specific criteria
shodan parse --fields location.country_code3,ip_str -f port:22 results.json.gz
# Export to CSV format
shodan parse --fields ip_str,port,org --separator , results.json.gz > results.csv
```
### 4. Search Filters Reference
#### Network Filters
```
ip:1.2.3.4 # Specific IP address
net:192.168.0.0/24 # Network range (CIDR)
hostname:example.com # Hostname contains
port:22 # Specific port
asn:AS15169 # Autonomous System Number
```
#### Geographic Filters
```
country:US # Two-letter country code
country:"United States" # Full country name
city:"San Francisco" # City name
state:CA # State/region
postal:94102 # Postal/ZIP code
geo:37.7,-122.4 # Lat/long coordinates
```
#### Organization Filters
```
org:"Google" # Organization name
isp:"Comcast" # ISP name
```
#### Service/Product Filters
```
product:nginx # Software product
version:1.14.0 # Software version
os:"Windows Server 2019" # Operating system
http.title:"Dashboard" # HTTP page title
http.html:"login" # HTML content
http.status:200 # HTTP status code
ssl.cert.subject.cn:*.example.com # SSL certificate
ssl:true # Has SSL enabled
```
#### Vulnerability Filters
```
vuln:CVE-2019-0708 # Specific CVE
has_vuln:true # Has any vulnerability
```
#### Screenshot Filters
```
has_screenshot:true # Has screenshot available
screenshot.label:webcam # Screenshot type
```
### 5. On-Demand Scanning
#### Submit Scan
```bash
# Scan single IP (1 credit per IP)
shodan scan submit 192.168.1.100
# Scan with verbose output (s
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