Lot 85627025 · NH - CANDIA
2017 MERCEDES-BENZ C AMG C43
VIN WDDWK6EB7HF570755
Current bid
$125
≈ €116
Archive
The vehicle
- Year 2017
- Make / model MERCEDES-BENZ C
- Trim level AMG C43
- Body type Convertible/Cabriolet
- Condition CERT OF TITLE-SALVAGE
- VIN WDDWK6EB7HF570755
- Drive type AWD/All-Wheel Drive
- Transmission Automatic · 9-ст.
- Horsepower 362 к.с.
- Steering location Left-Hand Drive (LHD)
- Exterior color blue
- Odometer 48,304 mi (77,738 km)
- Listing valid until 2026-09-01 17:00
Engine sound
Engine start-up clip from the auction listing -- not an independent inspection.
Notes
Ето едно страхотно кабрио Mercedes-Benz C-Class от 2017 година с 4х4 задвижване и автоматична скоростна кутия с 9 предавки.
Двигателят стартира и работи, като се забелязва леко почукване, което се променя с оборотите, а празен ход е леко неравномерен.
🚗 Mercedes-Benz C-Class кабрио 2017
📋 Основни характеристики:
пробег: 77 738 км
двигател: 3.0 L, 6 цилиндъра, 362 к.с.
задвижване: 4x4
ℹ️ Допълнителна информация:
скоростна кутия: автоматична, 9 предавки
каросерия: кабрио
цвят: син
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Damage assessment
Body zones
No AI damage assessment yet for this lot.
Top
Underbody
Condition assessment
The vehicle is a 2017 Mercedes-Benz C-Class AMG C43 convertible with an all-wheel-drive system. VIN decoding identifies a 3.0-liter M276 gasoline V6 engine, automatic nine-speed transmission, and left-hand drive. The vehicle was manufactured by Mercedes-Benz Cars in Bremen, Germany.
The auction record lists the vehicle as having a salvage title and identifies “front end” as the primary damage. Stage 1’s photo-based assessment reports that the visible photos do not support this claimed damage: the front bumper, grille, headlights, hood, and surrounding panels appear intact in the available views.
No additional damage findings were provided. A comprehensive physical inspection is recommended, including checks of the structure, mechanical systems, underside, safety systems, and title history.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.