Lot 47948976 · CA - SAN BERNARDINO

2017 MERCEDES-BENZ E E300-4M

VIN WDDZF4KB6HA093517

Current bid
$3,200
≈ €2,963

The vehicle

  • Year 2017
  • Make / model MERCEDES-BENZ E
  • Trim level E300-4M
  • Body type Sedan/Saloon
  • Condition DIS/DLR/EXP ONLY CLEAN TITLE (P)
  • VIN WDDZF4KB6HA093517
  • Transmission Automatic
  • Horsepower 241 к.с.
  • Engine E300 4Matic sedan ['17-'19] (2.0-liter turbocharged GDI M274 I4)
  • Steering location Left-Hand Drive (LHD)
  • Exterior color gray
  • Odometer 270,772 mi (435,764 km)
  • Listing valid until 2026-07-30 22:00
Notes
Този Mercedes-Benz E-Class от 2017 г. е стилен седан, готов за нов собственик. Леки козметични забележки по предната броня. 🚗 2017 MERCEDES-BENZ E-Class седан 📋 Основни характеристики: пробег в км: 435 764 2.0 L, 4 цилиндъра, 241 к.с. задно предаване ℹ️ Допълнителна информация: автоматична скоростна кутия сив цвят
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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 1 AI-written variant

gpt-5.6-luna

The auction record lists the vehicle as “DIS/DLR/EXP ONLY CLEAN TITLE (P)” and classifies the primary damage as “MINOR DENT/SCRATCHES.” The provided photo assessment identifies only a small, localized paint chip or scuff on the lower front bumper near the outer intake opening. It is minor cosmetic damage. According to the photo assessment, there is no visible headlamp or daytime-running-light damage or disassembly. This supports minor cosmetic damage but does not support the auction’s “DIS/DLR/EXP-only” claim. No other damage findings were provided. VIN decoding identifies this vehicle as a 2017 Mercedes-Benz E-Class sedan, trim E300-4M, manufactured in Germany. It is equipped with a 2.0-liter, four-cylinder gasoline M274 engine and an automatic transmission. The decoded data lists a left-hand-drive configuration and standard safety equipment including ABS, electronic stability control, traction control, forward-collision warning, and a rear-visibility system.

Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.