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Introduction:
In the world of cybersecurity, reconnaissance is the bedrock upon which every successful penetration test, vulnerability assessment, and defensive strategy is built. While commercial platforms like Shodan and Censys have become industry standards for discovering internet-connected devices, their results are often stale, heavily picked over by other researchers, and subject to geographic blind spots that can obscure critical vulnerabilities. This article explores how to build your own lightweight, high-performance “Mini Shodan” using Project Deep Focus—an asynchronous network scanner designed for massive-scale asset discovery that prioritizes weakly secured services and provides real-time operational intelligence.
Learning Objectives:
- Understand the limitations of traditional third-party reconnaissance platforms and the advantages of self-hosted scanning solutions.
- Master the installation, configuration, and operation of Project Deep Focus for both interactive and automated scanning workflows.
- Learn how to scale reconnaissance operations across multiple CIDR ranges using Python automation scripts.
- Develop the ability to identify and fingerprint exposed services including HTTP, FTP, SSH, VNC, RTSP, and RDP.
- Gain practical knowledge of ethical scanning practices and legal considerations for large-scale network reconnaissance.
You Should Know:
1. Understanding the Limitations of Traditional Reconnaissance Platforms
Before building your own Mini Shodan, it is essential to understand why traditional platforms fall short in modern cybersecurity operations. Shodan, FOFA, and Hunter have become standard tools for pentesters, defenders, and attackers alike. However, the results these platforms return are often stale—by the time an exposed service appears in their databases, it may already have been abused, patched, or taken offline.
Perhaps more critically, there exists a geographic blind spot that many security professionals underestimate. Certain countries actively block or restrict foreign IP ranges, meaning that scanners operating from outside these regions simply cannot see the same attack surface that a local IP would observe. Russia is a prime example of this phenomenon, where threat actors routinely solve the problem by renting local VPS instances inside the country to conduct reconnaissance from within the target network space.
Port scanning itself is frequently misunderstood. While some associate it exclusively with malicious hacking activities, it remains one of the most fundamental activities in security work. During penetration tests, clients provide public IP ranges, and large organizations often hand over entire CIDR blocks that must be assessed quickly. In national security and cyber defense contexts, the scale becomes even larger, with agencies needing to scan massive lists of IP ranges to identify vulnerable endpoints before adversaries do.
The stakes are high. On April 7, 2026, the Federal Bureau of Investigation, the U.S. Department of Justice, the National Security Agency, and international partners publicly announced that Russian GRU operators had been targeting and compromising thousands of TP-Link routers, along with some MikroTik devices, since at least 2024. Simultaneously, recent reporting from Censys highlighted more than 5,000 devices exposed to activity linked to Iranian APT operations, with the majority located in the United States. These real-world examples underscore why organizations and security researchers cannot afford to rely solely on third-party intelligence platforms.
- Introducing Project Deep Focus: Your Personal Mini Shodan
Project Deep Focus is an asynchronous network scanner built specifically for large-scale service discovery with a sharp focus on weakly secured services and immediate operational usefulness. Unlike simple port scanners, it probes common network services including HTTP, FTP, SSH, VNC, RTSP, and RDP, then attempts to determine whether authentication is required. The tool can identify service types and software patterns that help you quickly determine whether you are looking at a generic server, a camera, a NAS device, a DVR, or potentially a vulnerable appliance.
The tool supports both interactive and non-interactive workflows. In interactive mode, you launch the terminal dashboard and work inside its interface. In non-interactive mode, you can pass arguments directly through the terminal, making it more automation-friendly. Project Deep Focus can scan both public and private IP ranges, making it equally useful for internet-wide reconnaissance and internal penetration tests.
Installation and Setup
Getting started with Project Deep Focus is straightforward. The following commands will clone the repository, install dependencies, and launch the tool:
Clone the repository kali > git clone https://github.com/Y0oshi/Project-Deep-Focus.git Navigate to the directory kali > cd Project-Deep-Focus Run the installation script kali > bash install.sh Launch the tool kali > deepfocus
The installation script runs quickly and handles the required setup steps without manual effort. Once the tool launches, your Mini Shodan is ready for operation.
3. Running Your First Scan: Configuration and Execution
Inside the settings, the most important configuration is the target CIDR range. For demonstration purposes, researchers often use Russian IP ranges to illustrate how local scanning can reveal assets that foreign services frequently miss. This is particularly valuable for understanding the geographic blind spot phenomenon discussed earlier.
Once you type /scan, the dashboard appears and begins populating the screen in real time. If you need to close the dashboard view, simply press Ctrl + C. The important detail here is that the scan itself continues running in the background. Once it completes, return to the interface and run /stop. Confirm with Y, and the results will be exported into .export/.
The fingerprinting data gives you a fast way to judge whether the discovered software is likely vulnerable. In real-world testing, scans have revealed vulnerable HFS servers known to allow remote code execution. Even more concerning, the contents of one such exposed server contained a WireGuard VPN configuration file that led directly into the company’s internal network. This illustrates the critical importance of proactive reconnaissance—identifying these exposures before malicious actors do.
4. Scaling Your Reconnaissance with Python Automation
Scanning a single CIDR range is useful, but it quickly becomes repetitive when working across multiple public allocations. To address this, security researchers have created simple Python automation scripts to scale the workflow.
The automation script, available at the GitHub repository, should be saved inside the Project Deep Focus directory alongside a `targets.txt` file that contains multiple CIDR ranges. A reliable source for country-based IP allocations is ipdeny, which provides large public IP lists organized by country. For example, you can load a large set of Russian ranges into `targets.txt` and let the automation handle the rest:
kali > python3 run_targets.py
The script automatically reads the ranges from the list and launches scans one after another, removing the manual repetition. When you want to export the results after the batch completes, simply return to the Deep Focus interface:
kali > deepfocus Deep Focus > /stop
This will export all discovered exposed services across the entire target list.
5. Advanced Techniques and Operational Considerations
For security professionals working in Windows environments, equivalent scanning capabilities can be achieved through various tools. While Project Deep Focus is primarily designed for Linux systems, Windows users can leverage Windows Subsystem for Linux (WSL) to run the same toolset. Alternatively, tools like Masscan and Nmap provide cross-platform scanning capabilities:
Windows Commands (using Nmap):
Basic port scan nmap -sS -p- 192.168.1.0/24 Service version detection nmap -sV -sC 192.168.1.0/24 Scan multiple targets from file nmap -iL targets.txt -sS -p 1-1000
Linux Commands (using Masscan for high-speed scanning):
Scan entire CIDR range for specific ports masscan 192.168.1.0/24 -p80,443,22,21,3389 --rate=10000 Output results in various formats masscan 192.168.1.0/24 -p1-65535 --rate=1000 -oJ scan.json
API Security and Cloud Hardening Considerations
When conducting reconnaissance at scale, it is crucial to consider the security implications of exposed APIs and cloud resources. Project Deep Focus can help identify:
- Exposed REST APIs running on non-standard ports
- Unauthenticated administrative interfaces
- Cloud storage buckets with misconfigured access controls
- Database servers exposed to the public internet
To harden cloud environments against such reconnaissance, security teams should:
- Implement proper network segmentation and security group rules
2. Use API gateways with authentication requirements
3. Regularly audit public-facing resources
- Deploy Web Application Firewalls (WAF) to detect and block scanning activity
- Monitor for unusual traffic patterns indicative of reconnaissance
Vulnerability Exploitation and Mitigation
The identification of vulnerable services is only half the battle. Once Project Deep Focus identifies potentially vulnerable systems, security professionals must understand both the exploitation vectors and the corresponding mitigations:
| Service | Common Vulnerability | Mitigation |
||||
| HFS (HTTP File Server) | Remote Code Execution | Update to latest version, restrict access |
| VNC | No authentication required | Enable authentication, use SSH tunneling |
| FTP | Anonymous access enabled | Disable anonymous access, use SFTP |
| RTSP | Default credentials on cameras | Change default credentials, isolate IoT devices |
| RDP | Weak passwords, BlueKeep vulnerability | Enable Network Level Authentication, patch systems |
6. Practical Workflow: From Reconnaissance to Actionable Intelligence
The complete workflow for using your Mini Shodan effectively follows these steps:
Step 1: Define Your Scope
Identify the IP ranges you need to assess. This could be a single CIDR block for a penetration test or multiple country-level allocations for threat intelligence gathering.
Step 2: Prepare Target Lists
Create a `targets.txt` file containing all CIDR ranges to be scanned. For country-based reconnaissance, leverage ipdeny to obtain comprehensive IP allocations.
Step 3: Execute Scans
Run the automation script to scan all targets systematically:
kali > python3 run_targets.py
Step 4: Monitor Progress
The interactive dashboard provides real-time visibility into discovered services. Press `Ctrl + C` to exit the dashboard while scans continue in the background.
Step 5: Export and Analyze Results
Once scans complete, export all results:
kali > deepfocus Deep Focus > /stop
Step 6: Prioritize Findings
Analyze the exported data to identify:
- Services without authentication
- Known vulnerable software versions
- Devices that should not be publicly accessible
- Configuration files or sensitive data exposed
Step 7: Take Action
Remediate identified vulnerabilities, notify affected parties, and document findings for reporting purposes.
What Undercode Say:
- Self-hosted reconnaissance tools provide superior freshness and geographic coverage compared to commercial alternatives. By building your own Mini Shodan, you gain the ability to scan from any location, uncovering assets that global scanners frequently miss due to geographic restrictions or stale data.
-
Proactive discovery is the foundation of effective cybersecurity. Before exploitation and reporting, there is discovery. Organizations that wait for third-party platforms to identify their exposures are already behind the curve, as threat actors are actively scanning for vulnerabilities using custom tools and localized infrastructure.
The implications of this approach extend far beyond simple port scanning. From researchers and penetration testers to national security teams, port scanning remains the very first and most fundamental step in understanding an attack surface. Project Deep Focus was designed to prioritize unsecured services and fingerprinting, running fast while intelligently managing system load so that even passively cooled laptops can perform large scans without overheating.
The geopolitical dimension of reconnaissance cannot be overstated. When Russian GRU operators compromise thousands of routers or Iranian APT groups target devices in the United States, they are leveraging reconnaissance capabilities that identify vulnerable systems before defenders can act. Building your own Mini Shodan is not merely a technical exercise—it is a strategic imperative for organizations that take their security posture seriously.
Prediction:
+1: The democratization of large-scale reconnaissance tools will empower smaller security teams and independent researchers to conduct threat intelligence gathering previously limited to nation-states and large enterprises, leveling the playing field in cybersecurity defense.
+1: As organizations become more aware of geographic blind spots in commercial scanning platforms, we will see increased adoption of self-hosted reconnaissance solutions and distributed scanning architectures that provide more comprehensive visibility.
-1: The availability of tools like Project Deep Focus will inevitably be weaponized by threat actors, leading to an increase in automated vulnerability discovery and exploitation campaigns targeting exposed services identified through these platforms.
-1: Organizations that fail to implement proactive, continuous reconnaissance capabilities will find themselves increasingly vulnerable to attacks that exploit exposures discovered by adversaries using similar tools, widening the gap between defenders and attackers.
-P: Regulatory bodies may begin requiring organizations to conduct regular self-assessments using tools like Project Deep Focus, creating compliance frameworks that mandate proactive vulnerability discovery rather than reactive incident response.
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