IMINT

One photo, thirty minutes, and a fugitive who'd been hiding for three decades was back on the front page. That's what facial recognition does in a serious OSINT workflow — and that's also exactly why it scares regulators. Facial recognition is the loudest sub-discipline of IMINT (Imagery Intelligence) right now. Not …

An employee in Hong Kong watched her CFO and several colleagues join a video call. Familiar faces. Familiar voices. She wired $25.6 million across 15 transactions. Every face on that call was synthetic. That's the IMINT deepfake problem in one sentence. Not a future risk. Not a research paper. A line item on a forensic…

Pixels lie. The job is to make them confess. IMINT forensics is the part of imagery intelligence that doesn't care what the picture shows — it cares what the file betrays. Every edit leaves a fingerprint somewhere: in the compression grid, in the sensor noise, in a shadow that points the wrong way. A working analyst …

In December 2012 a journalist published one photo of John McAfee, on the run from Belize police. One photo. Inside the JPEG sat an unstripped GPS tag from an iPhone 4S — 15°39'29.4"N, 88°59'31.8"W — a poolside in Parque Nacional Río Dulce, Guatemala. McAfee tried to claim the data was faked. Two days later he co…

An image is rarely just an image. It's a timestamp, a location, a face, a logo on a wall, a reflection in a window — and somewhere on the public web, there's a chance it's been posted before. Reverse image search is how you make that chance work for you. Done badly, it's a single drag-and-drop into Google. Done prope…