Lot 61698856 · MN - MINNEAPOLIS NORTH
2015 MERCEDES-BENZ ML ML350
VIN 4JGDA5HB9FA611970
Current bid
$300
≈ €278
Archive
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ ML
- Trim level ML350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERT OF TITLE-SALVAGE
- VIN 4JGDA5HB9FA611970
- Exterior color white
- Odometer 100,087 mi (161,074 km)
- Listing valid until 2026-08-25 20:00
Notes
Този Mercedes-Benz ML от 2015 г. е солиден и надежден джип, готов за нов собственик.
Умерени щети по лявата страна на автомобила.
🚗 2015 Mercedes-Benz ML джип
📋 Основни характеристики:
пробег: 161 074 км
ℹ️ Допълнителна информация:
каросерия: джип
цвят: бял
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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
The auction record lists the vehicle as having a salvage certificate of title and identifies the primary damage as “SIDE.” These are auction-record designations and should be verified independently. Stage 1 reports that the visible denting and scraping on the driver-side doors and rocker-panel area supports the stated SIDE primary-damage code; the salvage-title status cannot be confirmed from photographs.
The visible damage is concentrated along the driver side. The lower and central portion of the driver-side front door has a broad, moderate dent with creasing and inward deformation. The lower front door edge and adjacent rocker-panel area show moderate abrasion, dark marks, scuffing, and paint-transfer-like damage. Several minor horizontal scratches are also visible on the outer panel of the driver-side rear door.
The VIN decodes the vehicle as a 2015 Mercedes-Benz ML-Class ML350 SUV with a 3.5-liter, six-cylinder gasoline engine. It was manufactured by Mercedes-Benz USA in Vance, Alabama. The available decoding data does not specify the drivetrain or transmission. Further inspection should assess the affected door structures, hinges, closures, rocker panel, and any related mechanical or alignment components before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.