Lot 46365656 · NH - CANDIA

2019 MERCEDES-BENZ CLS CLS450-4M

VIN WDD2J5KB6KA030737

Current bid
$1,000
≈ €926

The vehicle

  • Year 2019
  • Make / model MERCEDES-BENZ CLS
  • Trim level CLS450-4M
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE-SALVAGE
  • VIN WDD2J5KB6KA030737
  • Transmission Automated Manual Transmission (AMT) · 7-ст.
  • Horsepower 362 к.с.
  • Engine CLS450 4Matic sedan (EQ Boost 48v Mild Hybrid: 3.0-liter turbo M256 GDI I6 + electric motor)
  • Exterior color white
  • Odometer 0 mi (0 km)
  • Listing valid until 2026-07-21 17:00
Notes
Този CLS от 2019 г. е стилен седан, който очаква своя нов собственик. Умерени щети по интериора. 🚗 2019 MERCEDES-BENZ CLS седан 📋 Основни характеристики: пробег в км: 0 ℹ️ Допълнителна информация: каросерия: седан цвят: бял
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The 2019 Mercedes-Benz CLS is listed with a salvage certificate of title, with vandalism stated as the auction’s primary damage classification. Visible evidence shows extensive removal of interior trim and components, including the center-console and lower-dashboard areas. Open cavities, electrical connectors, and wiring are exposed around the center tunnel and lower dashboard. Sections of the front passenger-side carpeting and floor covering are missing, exposing the painted floor pan and electrical modules. Seat-side trim panels and adjacent interior components are also absent, with seat mechanisms, wiring, and mounting hardware visible. On the driver’s side, lower dashboard and footwell trim are missing, exposing fuse modules, wiring harnesses, connectors, and portions of the floor. The visible removal of interior trim and components is consistent with the stated vandalism claim; however, the cause cannot be confirmed from photos alone. The salvage-title status also cannot be confirmed from the photos. Reassembly, replacement of missing components, and inspection of the exposed wiring, electrical modules, seat mechanisms, and mounting hardware will be required.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.