Lot 60849666 · AZ - TUCSON
2015 MERCEDES-BENZ E E350
VIN WDDHF5KB1FB111687
Current bid
$400
≈ €370
The vehicle
- Year 2015
- Make / model MERCEDES-BENZ E
- Trim level E350
- Body type Sedan/Saloon
- Condition CERT OF TITLE - SALVAGE
- VIN WDDHF5KB1FB111687
- Exterior color white
- Odometer 90,402 mi (145,488 km)
- Listing valid until още не е насрочена
Notes
Ето един стилен Mercedes-Benz E-Class от 2015 година, който ще ви впечатли с елегантния си бял цвят и комфорт.
Тежко ударен в задната част.
🚗 2015 Mercedes-Benz E-Class седан
📋 Основни характеристики:
пробег в км: 145488
ℹ️ Допълнителна информация:
каросерия: седан
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 this 2015 Mercedes-Benz E-Class as having a salvage title, with “rear end” recorded as the primary damage classification. Stage 1 reports that the visible evidence supports the stated rear-end damage claim because the rear bumper cover and both rear tail-lamp assemblies are missing.
The complete rear bumper cover is absent, exposing the bumper reinforcement, mounting areas, lower body components, and exhaust components. The left and right rear tail-lamp assemblies are also missing, leaving both lamp cavities and mounting openings exposed. Additional rear bumper fascia and lower trim components are absent, with further mounting points and the reinforcement visible.
These findings indicate substantial rear-end collision damage. The missing bumper and lighting components will require replacement, and the exposed rear structure, mounting points, body components, exhaust components, and related systems should be physically inspected before repair or road use.
According to the VIN decoding, this is a 2015 Mercedes-Benz E-Class E350 sedan, built in Germany, with a 3.5-liter six-cylinder gasoline engine. The decoder identifies front airbags, side airbags for the first and second rows, curtain airbags, manual seat belts with 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.