Lot 55068166 · CA - HAYWARD
2017 MERCEDES-BENZ E AMG E43
VIN WDDZF6EB3HA201065
Current bid
$1,150
≈ €1,065
Archive
The vehicle
- Year 2017
- Make / model MERCEDES-BENZ E
- Trim level AMG E43
- Body type Sedan/Saloon
- Condition SALVAGE CERTIFICATE
- VIN WDDZF6EB3HA201065
- Drive type AWD/All-Wheel Drive
- Transmission Automatic · 7-ст.
- Horsepower 396 к.с.
- Engine AMG E43 4Matic sedan ['17-'18] (3.0-liter twin turbo M276 60° GDI V6)
- Steering location Left-Hand Drive (LHD)
- Exterior color black
- Odometer 91,411 mi (147,111 km)
- Listing valid until 2026-07-21 22:00
Notes
Този Mercedes-Benz E-Class от 2017 г. е стилен седан с пробег от 147 111 км.
Тежки щети по лявата страна на автомобила.
🚗 2017 MERCEDES-BENZ E седан
📋 Основни характеристики:
пробег в км: 147111
каросерия: седан
цвят: черен
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle as having a **salvage certificate**, with **SIDE** recorded as the primary damage classification. Stage 1 reports that the visible evidence supports the SIDE classification because extensive collision damage is present on the left side. However, the salvage-certificate status cannot be confirmed from the photographs.
The most significant damage is concentrated on the left front corner and side. The left front fender is severely crushed, creased, torn, and partially missing around the wheel arch, exposing the area behind the panel. The left front door has extensive deep dents, sharp creases, scraped paint, and irregular deformation across the outer skin. The left front bumper corner has cracked and broken plastic with an irregular edge and damaged adjacent trim.
The driver-compartment airbags are deployed, including the steering-wheel airbag, the lower driver-side dashboard airbag, and a curtain airbag along the upper left side of the cabin. The provided findings do not establish the condition of the underlying structure, suspension, steering, wheel, or other mechanical and electrical components. A detailed physical inspection would be required before repair or purchase decisions.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.