Lot 60236916 · FL - MIAMI SOUTH

2015 MERCEDES-BENZ G G550 4-Matic

VIN WDCYC3HF7FX233016

Current bid
$30
≈ €28

The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ G
  • Trim level G550 4-Matic
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERT OF TITLE SLVG REBUILDABLE
  • VIN WDCYC3HF7FX233016
  • Drive type AWD/All-Wheel Drive
  • Exterior color dark blue
  • Odometer 67,502 mi (108,634 km)
  • Listing valid until 2026-08-05 17:00
Notes
Този Mercedes-Benz G-Class от 2015 г. е истинска икона в света на офроуд автомобилите. Има умерени щети по задната част. 🚗 2015 Mercedes-Benz G, джип 📋 Основни характеристики: пробег в км: 108634 задвижване: 4x4 ℹ️ Допълнителна информация: цвят: тъмносин каросерия: джип
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is a 2015 Mercedes-Benz G-Class G550 4MATIC, identified by VIN WDCYC3HF7FX233016. Factory data describes it as an all-wheel-drive SUV with a 5.5-liter gasoline V8 engine. It was manufactured by Mercedes-Benz in Graz, Austria. The auction lists the vehicle as having a “CERT OF TITLE SLVG REBUILDABLE” condition and identifies the primary damage as “REAR END.” The visible damage at the rear right corner supports the auction’s rear-end damage classification. However, the photographs cannot confirm the stated salvage/rebuildable title status. Observed damage includes a broken or missing outer lens on the rear right tail lamp, with internal components exposed. The rear right bumper corner is severely cracked and broken, with missing sections and separated material. The lower rear right bumper lamp or reflector area is also damaged, including broken surrounding trim and exposed components. In addition, the lower-left portion of the rear-mounted spare tire cover has a large irregular damaged area with pronounced abrasion marks and disrupted surface material. The available findings are limited to visible exterior damage. A physical inspection should be performed to assess the condition of the underlying structure, mounting points, lighting systems, wiring, and any mechanical or safety-related components affected by the rear impact.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.