Lot 60451396 · DC - WASHINGTON DC

2015 MERCEDES-BENZ GLK GLK250 BLUETEC 4-MATIC

VIN WDCGG0EBXFG374694

Current bid
$300
≈ €278

The vehicle

  • Year 2015
  • Make / model MERCEDES-BENZ GLK
  • Trim level GLK250 BLUETEC 4-MATIC
  • Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
  • Condition CERT OF SALVAGE > 75% DAMAGE
  • VIN WDCGG0EBXFG374694
  • Drive type AWD/All-Wheel Drive
  • Engine GLK250 Bluetec 4Matic ['13-'15]
  • Exterior color gray
  • Odometer 115,858 mi (186,455 km)
  • Listing valid until 2026-07-24 17:00
Notes
Този GLK е стилен и надежден джип от 2015 година, с пробег от 186 455 км. Леки козметични забележки по предните фарове, седалката на шофьора, волана и вратата. 🚗 2015 MERCEDES-BENZ GLK джип 📋 Основни характеристики: пробег: 186 455 км двигател: 2.1 L, 4 цилиндъра, 170 к.с. задвижване: 4x4
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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 “CERT OF SALVAGE > 75% DAMAGE,” with “MINOR DENT/SCRATCHES” recorded as the primary damage. Stage 1’s assessment found that the visible evidence does not support the certificate-of-salvage claim for more than 75% damage; the vehicle appears substantially intact, with only minor cosmetic findings visible. The minor dent/scratches classification is only partially supported because surface scuffing is visible, but no unambiguous dent was identified in the photos. The visible cosmetic findings include cloudy, oxidized lenses on both front headlamps; a localized abrasion on the outer bolster of the driver’s seat; discoloration and shiny surface wear on the steering-wheel rim; and a dark bluish paint scuff near the lower edge of the driver-side front door and adjacent rocker area. No mechanical or structural assessment is provided by these findings. A physical inspection is recommended to verify the vehicle’s condition and the basis for the salvage designation.

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