A driver of a Mahindra Thar SUV refueled with diesel at a petrol pump in Mathura and fled without paying for the fuel.

The incident highlights the challenges fuel station operators face when dealing with vehicles lacking official identification, as the car in the footage had no number plate.

The theft occurred Sunday night, June 2, 2024, at the Dhangar filling station located in the Jamunapar area of Mathura, Uttar Pradesh [1]. According to reports, the vehicle arrived at the pump, took on diesel, and then drove away from the premises without completing the payment process [1].

Surveillance cameras at the station captured the entire sequence of events. The footage shows the SUV's lack of a registration plate, a detail that complicates the process of identifying the driver or the owner of the vehicle [1]. Local reports on the incident surfaced June 3, 2024 [1].

The Dhangar filling station is a known fuel point in the Jamunapar region. The use of a vehicle without a number plate suggests a deliberate attempt to avoid detection by law enforcement after the theft [1]. Authorities typically rely on registration data to track suspects in such cases, but the absence of a plate creates a significant gap in the immediate investigation.

While the identity of the driver has not been disclosed, the viral nature of the CCTV footage has brought attention to the security vulnerabilities at unmanned or semi-automated filling stations. The incident serves as a reminder of the risks associated with providing services to unidentified vehicles in high-traffic transit areas [1].

The car in the footage had no number plate.

This incident underscores a systemic vulnerability in the retail fuel sector where the lack of immediate vehicle verification allows for opportunistic theft. Because the vehicle lacked a number plate, the perpetrator bypassed the primary method of identification used by Indian law enforcement, shifting the burden of proof entirely onto visual CCTV evidence which may be insufficient for a legal conviction without further corroborating data.