Lot 57655785 · AL - MOBILE SOUTH
2015 MERCEDES-BENZ ML 350 ML350
VIN 4JGDA5JBXFA593473
Current bid
$250
≈ €231
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ ML 350
- Trim level ML350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERT OF TITLE-SALVAGE TITLE
- VIN 4JGDA5JBXFA593473
- Engine ML350 2wd ['13-'15], GLE350 2wd ['16-'18] (3.5-liter M276 60° GDI V6)
- Exterior color silver
- Odometer 225,925 mi (363,590 km)
- Listing valid until 2026-09-08 20:00
Notes
Този Mercedes-Benz ML 350 от 2015 г. е готов за нов собственик.
Тежък удар в предната част.
🚗 2015 MERCEDES-BENZ ML 350
📋 Основни характеристики:
пробег: 363 590 км
каросерия: джип
ℹ️ Допълнителна информация:
цвят: сребрист
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle as having a “CERT OF TITLE-SALVAGE TITLE” condition and “FRONT END” as the primary damage classification. These are auction designations; the salvage-title status cannot be confirmed from the available images.
Stage 1 reported that the visible evidence supports the stated front-end damage claim, based on the missing front bumper cover and grille with front components exposed. The front bumper cover is absent across the vehicle’s front, exposing the bumper reinforcement, mounting components, and cooling components. The center grille assembly is also missing, leaving the cooling assembly and other internal front components visible.
There is a localized dent and paint loss along the front edge of the hood near the right headlamp. A small dark scuff with localized finish loss is present on the lower rear bumper trim near the center.
The VIN decode identifies this vehicle as a 2015 Mercedes-Benz ML-Class ML350 SUV, manufactured in the United States. It is equipped with a 3.5-liter, six-cylinder gasoline engine. The available decode does not specify the drivetrain or transmission. Further inspection is recommended to assess the exposed front-end components, mounting points, cooling system, lighting, sensors, and any related mechanical or structural damage before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.