Lot 56445396 · TX - LONGVIEW

2017 MERCEDES-BENZ C C300

VIN WDDWF4JB0HR306726

Current bid
$30
≈ €28

The vehicle

  • Year 2017
  • Make / model MERCEDES-BENZ C
  • Trim level C300
  • Body type Sedan/Saloon
  • Condition SALVAGE VEHICLE TITLE
  • VIN WDDWF4JB0HR306726
  • Transmission Automatic · 9-ст.
  • Engine C300 sedan (2.0-liter turbocharged GDI M274 I4)
  • Steering location Left-Hand Drive (LHD)
  • Exterior color white
  • Odometer 101,003 mi (162,548 km)
  • Listing valid until 2026-08-03 20:00
Notes
Този Mercedes-Benz C-Class от 2017 г. е стилен седан, готов за нов собственик. Има следи от щети: умерени по долната лява част на прага под вратите, умерена вдлъбнатина на капака на багажника около мястото за регистрационния номер и сериозно задействана странична въздушна възглавница от лявата страна на тавана. 🚗 2017 MERCEDES-BENZ C-Class седан 📋 Основни характеристики: пробег: 162 548 км каросерия: седан цвят: бял ℹ️ Допълнителна информация: няма данни
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Damage assessment

Body zones

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Underbody
Condition assessment 1 AI-written variant

gpt-5.6-luna

The vehicle is a 2017 Mercedes-Benz C-Class offered with a salvage vehicle title. The auction lists the primary damage as “undercarriage.” Stage 1 reports that this claim cannot be confirmed from the available exterior and interior photos and requires a physical inspection. The salvage-title status is documentary and cannot be assessed from the photos. Visible damage includes a long rocker molding or trim piece detached and hanging below the lower left-side rocker area between the doors. The lower trunk lid has a broad inward dent with creasing and uneven deformation around the license-plate recess. A left-side roof-edge curtain airbag is visibly deployed, with turquoise fabric extended from the upper interior trim. The deployed airbag and the unconfirmed undercarriage claim make a thorough inspection essential. The vehicle should be checked for structural and underbody damage, airbag-system deployment components, and correct repair quality before purchase.

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