Lot 61320826 · ON - LONDON

2015 MERCEDES-BENZ CLA CLA250 4 MATIC

VIN WDDSJ4GB4FN217492

Price
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The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ CLA
  • Trim level CLA250 4 MATIC
  • Body type Sedan/Saloon
  • Condition PERMIT NO BRAND - UNFIT
  • VIN WDDSJ4GB4FN217492
  • Drive type AWD/All-Wheel Drive
  • Engine CLA250 4Matic sedan (2.0-liter turbocharged GDI M270 I4)
  • Exterior color white
  • Odometer 129,470 mi (208,361 km)
  • Listing valid until още не е насрочена
Notes
Този Mercedes-Benz CLA от 2015 г. е стилен седан с 4x4 задвижване, готов за нов собственик. Липсва задно стъкло и има деформация на капака на багажника. 🚗 Mercedes-Benz CLA 2015 📋 Основни характеристики: пробег: 208 361 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 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle as “PERMIT NO BRAND – UNFIT” with “VANDALISM” as the primary damage classification. These are auction claims. The photo review did not confirm either the vandalism claim or the legal designation; the visible damage consists of a missing rear windshield and deformation of the trunk lid, while the cause and legal status cannot be determined from the photos. The rear windshield glass is absent, leaving the rear windshield opening exposed. The upper edge and center area of the trunk lid, directly below the opening, have an irregular, creased contour and an uneven gap. The trunk-lid damage is assessed as moderate, while the missing rear glass is assessed as severe. The VIN decodes as a 2015 Mercedes-Benz CLA-Class CLA250 4MATIC sedan with all-wheel drive, a 2.0-liter four-cylinder engine, and direct tire-pressure monitoring. The vehicle was manufactured by Mercedes-Benz Cars and is identified as a passenger car. The decoder notes that some VIN information may vary for non-U.S.-market vehicles. The vehicle requires replacement of the rear windshield and a detailed inspection of the trunk lid, surrounding body structure, seals, interior, and related systems before its condition or repair requirements can be fully assessed.

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