Lot 55795336 · NJ - TRENTON
2014 MERCEDES-BENZ C C300 4 MATIC
VIN WDDGF8AB5ER303036
Price
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The vehicle
- Year 2014
- Make / model MERCEDES-BENZ C
- Trim level C300 4 MATIC
- Body type Sedan/Saloon
- Condition CERT OF TITLE-SALVAGE
- VIN WDDGF8AB5ER303036
- Drive type AWD/All-Wheel Drive
- Engine C300 4Matic sedan (3.5-liter M276 60° GDI V6)
- Exterior color dark blue
- Odometer 58,359 mi (93,919 km)
- Listing valid until още не е насрочена
Notes
Ето една страхотна C-класа от 2014 година, която е готова за нов собственик.
Има умерени козметични щети по предната и задната броня, както и по вратите от дясната страна.
🚗 MERCEDES-BENZ C-класа, седан
📋 Основни характеристики:
пробег: 93 919 км
двигател: 2.0 L, 4 цилиндъра, 201 к.с.
задвижване: задно
ℹ️ Допълнителна информация:
автоматична скоростна кутия, 7 предавки
тъмносин цвят
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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 2014 Mercedes-Benz C listed with a salvage certificate of title. The auction’s stated primary damage is “FRONT END.” Stage 1 reports that visible front bumper scraping and broken or missing lower bumper trim support this stated damage classification; however, the salvage-title status cannot be confirmed from photographs.
Visible exterior damage includes extensive white scraping and paint transfer on the front bumper, particularly across the lower left and right corners. A lower front bumper grille or trim section is broken or missing, leaving an irregular open area, with a loose or displaced black piece visible nearby.
The right-side front and rear doors have broad white scraping and paint transfer across their lower and middle sections. The right rear bumper corner also shows extensive scraping and multiple abrasion marks.
A physical inspection is recommended to assess any concealed damage, confirm the condition and mounting of the bumper components, and determine the repairs required.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.