Lot 52573586 · HI - HONOLULU
2015 MERCEDES-BENZ C Base
VIN 55SWF4JB7FU087131
Price
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The vehicle
- Year 2015
- Make / model MERCEDES-BENZ C
- Trim level Base
- Body type Sedan/Saloon
- Condition CERTIFICATE OF SALVAGE
- VIN 55SWF4JB7FU087131
- Drive type AWD/All-Wheel Drive
- Engine C300 sedan (2.0-liter turbocharged GDI M274 I4)
- Exterior color white
- Odometer 58,892 mi (94,777 km)
- Listing valid until още не е насрочена
Notes
Ето един стилен Mercedes-Benz C-класа от 2015 г., който съчетава елегантност и надеждност.
Тежка щета в задната част.
🚗 2015 MERCEDES-BENZ C-класа седан
📋 Основни характеристики:
пробег: 94 777 км
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 this 2015 Mercedes-Benz C-Class as having a Certificate of Salvage, with “REAR END” recorded as the primary damage. Stage 1 reports that the visible evidence supports the reported rear-end damage because the rear bumper cover is missing and the lower trunk lid is deformed. Stage 1 also notes that the certificate-of-salvage status cannot be confirmed from the photographs.
The rear bumper cover is missing across the visible full-width lower rear section, including both the left and right rear corners. Internal bumper-area components, the black bumper reinforcement or mounting structure, and a silver-colored panel are exposed. The lower center of the trunk lid, around the license-plate recess, has a broad indentation and visible creasing. The extent of damage to the exposed internal components, mounting points, and surrounding structure requires physical inspection.
VIN decoding identifies the vehicle as a 2015 Mercedes-Benz C-Class sedan with all-wheel drive, a 2.0-liter four-cylinder gasoline engine, and a U.S. assembly origin. Restoration will require replacement of the missing rear bumper cover and assessment of the trunk lid and exposed rear components before repair costs and roadworthiness can be determined.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.