
East Hanover police warn of organized theft crews after attempted vehicle theft; BMWs, Land Rovers targeted
EAST HANOVER TOWNSHIP, N.J. (Morris County) — East Hanover police are warning residents about what they described as an increase in attempted vehicle thefts and occupied burglaries across the region after an attempted auto theft on Garden Street early Thursday morning.
Township police said suspects tried to steal vehicles by targeting key fobs and car keys but were deterred by homeowners and responding officers. Patrols “flooded the area” and used the department’s drone unit, police said.
During the investigation, police said they learned the suspect vehicle was later seen in several surrounding towns. The suspects fled without stealing anything from the Garden Street residence, police said, but officials said related incidents in other towns remain under active investigation.
Police said they are concerned that specific vehicles — particularly BMWs and Land Rovers — and specific addresses are being intentionally targeted by organized theft crews operating throughout the region. Police said they have been in contact with several other law enforcement agencies.
“These crimes are often carried out quickly and with prior knowledge of vehicle locations,” police said.
Police urged residents — “especially BMW owners” — to take precautions, including locking vehicle and home doors, activating alarms, using enhanced first-floor window locks, parking vehicles in garages when possible, and using exterior lighting and cameras. If a garage is not available, police suggested blocking targeted vehicles in with another car.
Residents were also urged to report suspicious activity immediately by calling 911 and to consider using the police department’s vacation house check service.
“These recommendations are offered to help reduce risk and are not intended to place blame on any victim,” police said.
The department said it has increased patrols and special enforcement details and is working with local, county, state and federal partners through intelligence-led policing and real-time information sharing.




