Lot 56456766 · NC - GASTONIA
2015 MERCEDES-BENZ C 4-MATIC
VIN 55SWF4KB7FU021418
Current bid
$550
≈ €509
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ C
- Trim level 4-MATIC
- Body type Sedan/Saloon
- Condition SALVAGE CERTIFICATE OF TITLE
- VIN 55SWF4KB7FU021418
- Drive type AWD/All-Wheel Drive
- Engine C300 4Matic sedan (2.0-liter turbocharged GDI M274 I4)
- Exterior color white
- Odometer 235,137 mi (378,415 km)
- Listing valid until 2026-07-29 17:00
Notes
Ето един стилен Mercedes C-Class от 2015 година, който ще ви впечатли с мощното си 4x4 задвижване.
Тежка щета в предната част.
🚗 2015 MERCEDES-BENZ C седан
📋 Основни характеристики:
пробег в км: 378415
задвижване: 4x4
ℹ️ Допълнителна информация:
каросерия: седан
цвят: бял
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists a salvage certificate of title and identifies “FRONT END” as the primary damage. Stage 1 reports that the visible front-left-corner damage supports the unverified “FRONT END” claim; however, the salvage-title status cannot be confirmed from exterior photographs.
The front-left headlamp assembly is severely damaged. Its lens and housing are broken, with internal components exposed and part of the outer lens missing. The front-left fender and wheel-arch area have severe deformation and sharp creasing around the headlamp opening and above the wheel arch. The front-left bumper corner is moderately damaged, with visible separation and irregular edges adjacent to the headlamp. The front-left edge of the hood is also moderately deformed, with an uneven contour next to the damaged fender and headlamp.
The VIN decodes this vehicle as a 2015 Mercedes-Benz C-Class sedan with 4MATIC all-wheel drive, a 2.0-liter four-cylinder gasoline engine, and a U.S. assembly plant in Vance, Alabama. A thorough inspection should include the front-end structure, lighting and wiring, cooling components, wheel-arch area, steering and suspension, safety systems, and alignment before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.