Lot 59302196 · KY - LOUISVILLE
2012 MERCEDES-BENZ C C350
VIN WDDGF5HB6CR218904
Price
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The vehicle
- Year 2012
- Make / model MERCEDES-BENZ C
- Trim level C350
- Body type Sedan/Saloon
- Condition RED REBUILT FLOOD
- VIN WDDGF5HB6CR218904
- Engine C350 sedan (3.5-liter M276 60° GDI V6)
- Exterior color dark blue
- Odometer 121,384 mi (195,348 km)
- Listing valid until още не е насрочена
Notes
Един стилен и надежден Mercedes-Benz C-класа от 2012 година, готов за нов собственик.
Умерени щети по предната част на автомобила.
🚗 2012 MERCEDES-BENZ C-класа
📋 Основни характеристики:
пробег в км: 195348
ℹ️ Допълнителна информация:
каросерия: седан
цвят: тъмносин
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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
The vehicle is a 2012 Mercedes-Benz C-Class listed with a “RED REBUILT FLOOD” condition designation and “FRONT END” as the auction’s primary damage classification. These are auction claims rather than independently established facts.
The provided photo review found no visible tide line, water staining, mud or silt residue, mold-like discoloration, seat-rail or seatbelt corrosion, or visible wiring corrosion. The instrument cluster was also reported to display normally. Based on the visible evidence, the flood claim is not supported. The visible damage does support the stated front-end damage classification.
Damage is concentrated at the front-left corner. The hood edge near the headlamp is moderately deformed, raised, and has an irregular panel gap. The front-left fender is also visibly deformed around the headlamp and wheel-arch area. The bumper cover has an irregular edge and an open gap below the headlamp, with a section of the black corner trim or cover missing. Light-colored scuffing is present on the left side of the front bumper. The visible headlamp lenses show minor diffuse clouding.
A physical inspection should confirm the condition and alignment of the front-end components, bumper attachments, lighting system, and any underlying structure before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.