Lot 55033476 · PA - PHILADELPHIA EAST-SUBLOT
2017 MERCEDES-BENZ GLE GLE350
VIN 4JGDA5HB9HA935777
Current bid
$1,350
≈ €1,250
Archive
The vehicle
- Year 2017
- Make / model MERCEDES-BENZ GLE
- Trim level GLE350
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition CERTIFICATE OF SALVAGE
- VIN 4JGDA5HB9HA935777
- Transmission Automatic · 7-ст.
- Horsepower 302 к.с.
- Engine ML350 4Matic ['12-'15], GLE350 4Matic ['16-'18] (3.5-liter M276 60° V6)
- Steering location Left-Hand Drive (LHD)
- Exterior color white
- Odometer 111,948 mi (180,162 km)
- Listing valid until 2026-08-10 17:00
Notes
Този GLE 350d от 2017 г. е истинска находка за всеки, който търси луксозен и мощен SUV.
Има умерени щети по задната врата и долната част на прага, както и леки козметични забележки по волана и шофьорската седалка.
🚗 2017 MERCEDES-BENZ GLE 350d
📋 Основни характеристики:
пробег: 180 162 км
каросерия: джип
ℹ️ Допълнителна информация:
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 **Certificate of Salvage** and identifies **SIDE** as the primary damage classification. Stage 1 reports that the visible side damage supports the reported SIDE code; however, the salvage certificate status cannot be confirmed from the photos.
The main visible damage is concentrated on the rear side door and adjacent lower rocker area. The door has a large, deep dent with multiple sharp creases across the lower and middle sections, extending into the lower door edge and rocker area. Surface abrasion and scuffing are also visible. The damage is assessed as moderate collision damage.
Inside the vehicle, the steering-wheel rim shows glossy, worn areas along the hand-contact surfaces. The outer lower bolster of the front driver’s seat has visible leather creasing and light surface abrasion, both assessed as minor cosmetic wear.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.