AI tools can now identify where people are located by analyzing photos shared on social media, creating a new privacy risk even when users remove location tags or GPS information.
Recent McAfee Labs research found that AI was able to identify the location shown in 87% to 91% of tested travel photos. The technology analyzes visual clues inside an image rather than relying only on GPS metadata.
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Buildings, shop signs, road markings, plants, landscapes and recognizable landmarks can all reveal information about where someone took a photo. In some cases, even photos of beaches, hotel rooms, rivers or other seemingly generic scenes can provide enough clues for AI to estimate a country or location.
AI-powered geolocation tools already demonstrate how this works. These systems analyze architecture, terrain, streets, signs, vegetation and other environmental details to estimate where an image originated, even when the file contains no GPS or EXIF location data.
Scammers can use location details
The bigger concern involves how criminals can combine this information with phishing scams. Someone posting vacation photos, for example, could unknowingly reveal where they are traveling.
A scammer could then send a fake bank alert mentioning suspicious activity in that location. Since the message includes details that match the person’s recent travel, it can appear more convincing. McAfee researchers highlighted this type of personalized scam as a growing risk.
Users can reduce their exposure by waiting until they return home before posting travel photos, limiting who can view their social media posts and checking images for obvious location clues before sharing them.
Removing photo metadata also helps, although visual details inside an image can still reveal its location to modern AI systems.
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