Lot 59862206 · TX - SAN ANTONIO
2015 MERCEDES-BENZ C 4-MATIC
VIN 55SWF4KB9FU093592
Current bid
$20
≈ €19
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ C
- Trim level 4-MATIC
- Body type Sedan/Saloon
- Condition SALVAGE VEHICLE TITLE
- VIN 55SWF4KB9FU093592
- Drive type AWD/All-Wheel Drive
- Engine C300 4Matic sedan (2.0-liter turbocharged GDI M274 I4)
- Exterior color dark gray
- Odometer 121,250 mi (195,132 km)
- Listing valid until 2026-08-06 20:00
Notes
Този Mercedes-Benz C-Class от 2015 г. е стилен седан с пробег от 195 132 км.
Тежко увреждане на предния ляв ъгъл.
🚗 2015 MERCEDES-BENZ C-Class седан
📋 Основни характеристики:
пробег: 195 132 км
двигател: 2.0 L, 4 цилиндъра, 156 к.с.
задвижване: задно предаване
ℹ️ Допълнителна информация:
каросерия: седан
цвят: тъмносив
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Damage assessment
Body zones
AI-detected zones are pre-marked below — click a zone to adjust its severity.
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Underbody
Condition assessment
This 2015 Mercedes-Benz C is listed with a salvage vehicle title and an auction primary-damage classification of FRONT END. The visible broken and missing components at the front-left corner support the stated FRONT END primary-damage code. The salvage-title status cannot be confirmed from the available photos.
The front-left headlamp assembly is severely damaged, with a fractured lens and displaced internal components. The bumper cover at the left corner is torn and separated, leaving an open gap around the headlamp area. The left front fender is missing, exposing the wheel-area and inner body components, while multiple wires and connectors are hanging outside the body enclosure.
Additional damage includes broken or missing trim around the left front wheel arch and bumper junction. The left front corner has extensive open and separated panel areas, and the front-left edge of the hood is deformed with an uneven gap and irregular panel alignment. A thorough inspection should determine whether any underlying structural, suspension, electrical, or mechanical components were affected.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.