Lot 50229996 · CA - SACRAMENTO
2015 MERCEDES-BENZ C C400 4-MATIC
VIN 55SWF6GB2FU035795
Current bid
$350
≈ €324
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ C
- Trim level C400 4-MATIC
- Body type Sedan/Saloon
- Condition DIS/DLR/EXP ONLY CLEAN TITLE (P)
- VIN 55SWF6GB2FU035795
- Engine C400 4Matic sedan (3.0-liter twin turbo M276 60° GDI V6)
- Exterior color silver
- Odometer 120,698 mi (194,244 km)
- Listing valid until 2026-07-28 22:00
Notes
Този Mercedes-Benz C-Class от 2015 г. е стилен седан с пробег от 194 244 км.
Има леки щети по предницата.
🚗 2015 MERCEDES-BENZ C-Class седан
📋 Основни характеристики:
пробег: 194 244 км
двигател: 2.0 L, 4 цилиндъра, 241 к.с.
задвижване: задно предаване
ℹ️ Допълнителна информация:
каросерия: седан
цвят: сребрист
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle as “DIS/DLR/EXP ONLY CLEAN TITLE (P)” with “FRONT END” as the primary damage classification. Stage 1 reports that the visible photos show only minor front-bumper scuffing and do not support a significant front-end primary-damage claim. The auction title/condition designation could not be verified from the photos.
The vehicle is a 2015 Mercedes-Benz C-Class sedan, decoded as a C400 4MATIC with a 3.0-liter, six-cylinder gasoline engine. It was manufactured by Mercedes-Benz Cars in Vance, Alabama, USA.
Observed damage is primarily cosmetic. The lower center-left area of the front bumper cover and lip has a localized scraped and discolored section. The center-lower rear bumper cover has several small dark scuff marks and areas of paint transfer. The front driver’s seat has multiple tears and worn-through sections on the lower cushion and outer bolster, exposing lighter underlying material; this is assessed as moderate upholstery damage.
The findings do not establish the condition of hidden mechanical, structural, or underbody components. A physical inspection and mechanical evaluation are recommended before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.