Lot 58369396 · IN - CICERO

2017 MERCEDES-BENZ GLA GLA250-4M

VIN WDCTG4GB6HJ332452

Current bid
$30
≈ €28

The vehicle

  • Year 2017
  • Make / model MERCEDES-BENZ GLA
  • Trim level GLA250-4M
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERT OF TITLE-SALVAGE TITLE
  • VIN WDCTG4GB6HJ332452
  • Drive type AWD/All-Wheel Drive
  • Horsepower 208 к.с.
  • Engine GLA250 4Matic ['15-'20] (2.0-liter turbocharged GDI M270 I4)
  • Exterior color red
  • Odometer 154,519 mi (248,674 km)
  • Listing valid until 2026-09-15 17:00
Notes
Стилен червен джип Mercedes-Benz GLA от 2017 година. Умерен удар в предната част на автомобила. 🚗 2017 MERCEDES-BENZ GLA джип 📋 Основни характеристики: пробег в км: 248674 ℹ️ Допълнителна информация: цвят: червен каросерия: джип
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Damage assessment

Body zones

AI-detected zones are pre-marked below — click a zone to adjust its severity.

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is listed with a CERT OF TITLE-SALVAGE TITLE, and the auction’s primary-damage designation is “FRONT END.” Stage 1 reports that the visible damage is concentrated on the left front fender and left front door; the front bumper, grille, hood, and headlamps do not show clear corresponding damage in the provided photos. Accordingly, the “FRONT END” designation is not fully supported by the visible evidence. Stage 1 also notes that salvage-title status cannot be confirmed from the photos. The left front fender has a broad, moderately severe concave dent with sharp creasing and pronounced buckling above and behind the front wheel. The black wheel-arch trim is separated from the body and sits irregularly along the upper-rear section of the wheel opening. The left front door has a large dent and multiple creases across the front and lower areas, together with light-colored abrasion or paint transfer near the front edge and the fender junction. Repair assessment should include inspection of the fender, door, wheel-arch trim, panel alignment, door operation, and any underlying components or attachment points in the affected area.

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