Lot 56445396 · TX - LONGVIEW
2017 MERCEDES-BENZ C C300
VIN WDDWF4JB0HR306726
Current bid
$30
≈ €28
Archive
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
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.