Shodan + Grok a match made in OSINT Heaven

Shodan Maps is a useful tool for investigators and OSINT (click the link to see my discussion about OSINT) to find computers on the internet at a specific location (paid version). However, it does not work like a regular map where you can type in an address; you have to use the longitude and latitude coordinates. For example, if I wanted to find computers around Texas A&M and see what was within 5 km around them, I would have to look up their coordinates, remove the degree symbols and directions, and specify my search accordingly.

geo:"30.615,-96.342,8"

This targets devices within approximately 8 km (about 5 miles) of the campus center. To refine results further, you layer on additional filters, such as:

• os:"Windows 7" for specific operating systems
• port:445 for SMB-exposed devices
• vuln:MS17-010 for known vulnerabilities like EternalBlue

The full query could become:
geo:"30.615,-96.342,8" os:"Windows 7" port:445

This process quickly becomes tedious, especially when scouting multiple buildings, campuses, or locations. You must repeat coordinate lookups, unit conversions, and filter combinations every time—often resulting in broad results that include every public-facing device in the radius, requiring manual narrowing. This is where artificial intelligence, like Grok, transforms the workflow. Instead of wrestling with syntax and manual prep, you can now describe your needs in plain English:

• “Do a Shodan-style search for computers around Texas A&M within 5 miles.”
• “Find exposed RDP services near College Station, TX, in a 10 km radius.”
• “Show internet-connected ICS/SCADA devices within 8 km of Texas A&M coordinates.”

AI handles the heavy lifting automatically:

• Looks up or confirms coordinates (e.g., pulling ~30.615, -96.342 for Texas A&M).
• Converts units (5 miles ≈ 8 km).
• Builds the precise geo string and suggests complementary filters (like country:"US", city:"College Station", or organization-specific terms).
• Reminds users of ethical boundaries—Shodan reveals only publicly exposed banners and services; unauthorized access or exploitation remains illegal.

The beauty of this shift lies in natural language processing. For years, I’ve wondered why computers couldn’t simply understand everyday speech the way they parse rigid code like print("Hello, World!"). Why force users into exact syntax when the intent is clear? The age of AI is proving to be a massive boon for OSINT and the broader world. Tasks that once demanded hours of manual effort—coordinate hunting, syntax tweaking, filter chaining—now happen in seconds through conversation. This democratizes powerful reconnaissance tools, making them more accessible to legitimate researchers, security professionals, and investigators while emphasizing responsible use.

God bless, and tech talk to you later!