Lot 52370406 · OH - CLEVELAND EAST
2017 MERCEDES-BENZ C C300d-4M
VIN WDDWF4KB6HR215698
Current bid
$90
≈ €83
Archive
The vehicle
- Year 2017
- Make / model MERCEDES-BENZ C
- Trim level C300d-4M
- Body type Sedan/Saloon
- Condition CERT OF TITLE-REPOSSESSION
- VIN WDDWF4KB6HR215698
- Transmission Automatic
- Engine C300 4Matic sedan (2.0-liter turbocharged GDI M274 I4)
- Steering location Left-Hand Drive (LHD)
- Exterior color dark blue
- Odometer 141,221 mi (227,273 km)
- Listing valid until 2026-07-23 19:00
Notes
Този Mercedes-Benz C-Class от 2017 г. е стилен седан в тъмносин цвят, който предлага комфорт и елегантност.
Има леки козметични забележки по интериора.
За съжаление, автомобилът не стартира.
🚗 Mercedes-Benz C-Class, 2017 г.
📋 Основни характеристики:
пробег: 227 273 км
скоростна кутия: автоматична
ℹ️ Допълнителна информация:
каросерия: седан
цвят: тъмносин
Make an offer or ask a question
Log in to make an offer or ask a question about this car. Log in
Damage assessment
Body zones
AI-detected zones are pre-marked below — click a zone to adjust its severity.
Top
Underbody
Condition assessment
The vehicle is a 2017 Mercedes-Benz C-Class sedan, VIN WDDWF4KB6HR215698. NHTSA VIN data identifies it as a gasoline-powered 2.1-liter four-cylinder model with an automatic transmission, built in South Africa. The decoded trim is listed as C300d-4M.
The auction condition is listed as “CERT OF TITLE-REPOSSESSION.” The provided photographs cannot confirm or contradict the repossession-condition claim, and no direct evidence of the circumstances of repossession is visible.
The documented issues are minor cosmetic wear inside the cabin. The driver’s seat has a jagged split in the outer side bolster, with light-colored material visible. The center-console armrest has a localized rough, abraded area with visible creasing. The steering-wheel rim shows smooth, shiny wear on the grip surface.
No other damage findings, mechanical concerns, or known failure-pattern flags were provided.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.