Lot 60300806 · PA - YORK HAVEN
2014 MERCEDES-BENZ GLK GLK350 4-MATIC
VIN WDCGG8JB9EG250919
Price
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The vehicle
- Year 2014
- Make / model MERCEDES-BENZ GLK
- Trim level GLK350 4-MATIC
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERTIFICATE OF SALVAGE
- VIN WDCGG8JB9EG250919
- Drive type AWD/All-Wheel Drive
- Engine GLK350 4Matic ['13-'15] (3.5-liter M276 60° GDI V6)
- Exterior color red
- Odometer 130,759 mi (210,436 km)
- Listing valid until още не е насрочена
Notes
Този MERCEDES-BENZ GLK от 2014 г. е готов за нов собственик.
Предната част има умерени щети.
🚗 2014 MERCEDES-BENZ GLK джип
📋 Основни характеристики:
пробег: 210 436 км
цвят: червен
ℹ️ Допълнителна информация:
каросерия: джип
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Damage assessment
Body zones
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Underbody
Condition assessment
The vehicle is listed with a **Certificate of Salvage** condition and **FRONT END** as the auction’s primary-damage classification. Based on the provided photo assessment, the visible damage to the front grille, hood, and bumper supports the auction’s front-end damage claim. The salvage-certificate status itself cannot be confirmed from the photos.
The front grille center has broken and missing sections, leaving an open circular area with components exposed behind it. The Mercedes-Benz emblem is also missing. The center of the front bumper below the grille shows a broad area of white surface transfer and missing red paint. The leading edge of the hood has an irregular raised and creased contour, most noticeable toward the left front side.
At the left rear quarter panel, the fuel-filler door is missing, exposing the black filler-door recess. A narrow vertical white paint scuff is visible below and forward of the fuel-filler opening.
Inside the vehicle, the light-colored front driver’s seat cushion has a long tear exposing dark material, with additional cracking or separation in the surrounding upholstery.
A detailed physical inspection is recommended to assess any additional damage, verify the condition of the exposed components, and determine the repairs required.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.