Lot 75668455 · NM - ALBUQUERQUE
2018 MERCEDES-BENZ E E300
VIN WDDZF4JBXJA360181
Current bid
$1,000
≈ €926
Archive
The vehicle
- Year 2018
- Make / model MERCEDES-BENZ E
- Trim level E300
- Body type Sedan/Saloon
- Condition CERT OF TITLE-SALVAGE
- VIN WDDZF4JBXJA360181
- Transmission Automatic · 9-ст.
- Horsepower 241 к.с.
- Engine E300 sedan ['17-'19] (2.0-liter turbocharged GDI M274 I4)
- Steering location Left-Hand Drive (LHD)
- Exterior color dark blue
- Odometer 103,545 mi (166,639 km)
- Listing valid until 2026-08-20 21:00
Notes
Този Mercedes-Benz E-Class от 2018 г. е чудесен избор за всеки, който търси стил и комфорт.
Тежко ударен в предницата.
🚗 2018 MERCEDES-BENZ E-Class седан
📋 Основни характеристики:
пробег в км: 166639
ℹ️ Допълнителна информация:
каросерия: седан
цвят: тъмносин
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Damage assessment
Body zones
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Underbody
Condition assessment
This 2018 Mercedes-Benz E is listed with a salvage certificate of title, and the auction’s primary-damage designation is FRONT END. Stage 1 reports that the visible evidence supports this claim, with substantial front-end components missing, detached, or visibly broken.
The front bumper cover and grille are missing, exposing the front reinforcement and cooling components. One headlamp assembly is also absent, while the opposite headlamp remains visible. Detached lower front panels and liner material are hanging below the vehicle. Additional detached parts shown on the ground include a bumper-cover section, grille-related plastic, and a headlamp assembly with broken and separated mounting and plastic sections.
The instrument cluster shows both a tire-pressure warning indicator and a check-engine warning indicator. The available findings do not establish the cause or extent of these warnings. A complete inspection should include the front structure, cooling system, lighting and electrical components, suspension and underbody, diagnostic fault codes, and any concealed collision damage before purchase or repair.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.