Lot 54128196 · TX - HOUSTON EAST
2018 MERCEDES-BENZ GLC GLC 300-4M
VIN WDC0G4KB6JV110339
Price
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The vehicle
- Year 2018
- Make / model MERCEDES-BENZ GLC
- Trim level GLC 300-4M
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE VEHICLE TITLE
- VIN WDC0G4KB6JV110339
- Transmission Automatic · 9-ст.
- Horsepower 241 к.с.
- Exterior color black
- Odometer 136,025 mi (218,910 km)
- Listing valid until още не е насрочена
Notes
Този Mercedes-Benz GLC от 2018 г. е истинска находка за всеки, който търси стил и комфорт.
Тежка щета в предната част.
🚗 2018 MERCEDES-BENZ GLC
📋 Основни характеристики:
пробег в км: 218910
2.0L, 4 цилиндъра, 241 к.с.
задно предаване
ℹ️ Допълнителна информация:
автоматична скоростна кутия, 9 скорости
каросерия: джип
цвят: черен
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Damage assessment
Body zones
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Underbody
Condition assessment
The vehicle is listed with a salvage vehicle title, and the auction identifies the primary damage as front end. Stage 1 reports that the visible front-bumper damage supports the stated front-end damage classification; however, the salvage-title status could not be independently confirmed from the photos.
The front bumper cover has severe damage at the right corner and lower edge, including a large open area, cracked and broken plastic, and a detached section hanging downward. The lower grille insert is missing from the right-side bumper opening, leaving an exposed cavity. Inside the vehicle, green curtain-airbag fabric is visibly hanging from the roof-side area, indicating a deployed curtain airbag.
According to the VIN decode, this is a 2018 Mercedes-Benz GLC-Class GLC 300-4M SUV, equipped with a turbocharged 2.0-liter four-cylinder gasoline engine and a nine-speed automatic transmission. The vehicle was manufactured in Finland. The extent of the visible collision and restraint-system damage warrants a comprehensive inspection of the structure, airbag system, front-end components, cooling system, sensors, and related wiring before purchase or repair.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.