Lot 56954066 · VA - RICHMOND

2016 MERCEDES-BENZ CLA CLA250

VIN WDDSJ4EB5GN298958

Price
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The vehicle

  • Year 2016
  • Make / model MERCEDES-BENZ CLA
  • Trim level CLA250
  • Body type Sedan/Saloon
  • Condition CERT OF TITLE - SALVAGE
  • VIN WDDSJ4EB5GN298958
  • Engine CLA250 sedan (2.0-liter turbocharged GDI M270 I4)
  • Exterior color dark blue
  • Odometer 0 mi (0 km)
  • Listing valid until 2026-07-24 17:00
Notes
Този CLA 2016 е стилен седан в тъмносин цвят. Умерени щети по предницата. 🚗 2016 MERCEDES-BENZ CLA седан 📋 Основни характеристики: пробег в км: 0 ℹ️ Допълнителна информация: каросерия: седан цвят: тъмносин
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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 “CERT OF TITLE – SALVAGE” with “FRONT END” as the primary damage classification. Stage 1 reports that the visible front bumper abrasion and paint loss support the front-end damage claim, although no structural front-end deformation was visibly confirmed; the salvage title could not be verified from the photos. Visible exterior damage is concentrated at the front bumper. The lower edge and left corner have extensive white abrasion, black paint loss, and a roughened surface. The left rear quarter-panel fuel-filler door is missing, exposing the filler recess and dark internal components. The interior has moderate cosmetic wear. The front passenger-seat lower cushion has a large tear with lighter material visible underneath. The driver-seat lower cushion and front edge show multiple tears and extensive cracking, also exposing lighter material in places. The center-console armrest has pronounced wrinkling and surface wear. A physical inspection is recommended to assess the front-end components and confirm whether any damage extends beyond the visible bumper cover. The vehicle should also be checked for proper operation and fitment of the fuel-filler area, as well as the condition of the seat upholstery and related interior trim.

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