Lot 54716006 · CA - RANCHO CUCAMONGA
2015 MERCEDES-BENZ ML ML350
VIN 4JGDA5JBXFA612524
Price
€12,300
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ ML
- Trim level ML350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition DIS/DLR/EXP APP FOR DUP CLEAN
- VIN 4JGDA5JBXFA612524
- Engine ML350 2wd ['13-'15], GLE350 2wd ['16-'18] (3.5-liter M276 60° GDI V6)
- Exterior color dark blue
- Odometer 190,201 mi (306,098 km)
- Listing valid until 2026-09-24 22:00
Notes
Този Mercedes-Benz ML от 2015 г. е готов за нови приключения.
Минимални козметични забележки по интериора.
🚗 2015 MERCEDES-BENZ ML
📋 Основни характеристики:
пробег в км: 306098
ℹ️ Допълнителна информация:
каросерия: джип
цвят: тъмносин
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Condition assessment
The auction record lists the condition as “DIS/DLR/EXP APP FOR DUP CLEAN” and the primary damage as “NORMAL WEAR.” The photo-based assessment states that the vehicle appears externally complete, with no clearly visible collision damage, and that the minor interior wear is broadly consistent with the “NORMAL WEAR” classification. The administrative claim “DIS/DLR/EXP APP FOR DUP CLEAN” cannot be confirmed from the photographs.
Observed interior issues are minor and cosmetic. The upper and side sections of the steering-wheel rim have shiny, visibly worn areas. The passenger-side brown wood-look dashboard trim has irregular linear cracking or splitting near the air vent and center stack. The dark trim around the center-console storage and control areas also shows scuffing and worn finish, with lighter exposed-looking patches.
The check-engine warning indicator is illuminated. A diagnostic scan is required to identify the underlying powertrain or emissions fault; the available findings do not confirm a specific cause or model-related failure.
VIN decoding identifies the vehicle as a 2015 Mercedes-Benz ML-Class ML350 sport utility vehicle, equipped with a 3.5-liter gasoline V6 engine. It was manufactured by Mercedes-Benz USA in Vance, Alabama. The decoded data also lists front and side airbag locations, seat-belt pretensioners and load limiters, and direct tire-pressure monitoring.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.