Mystery Surrounds Slain Woman Found In Hamptons Guest Room of Luxury Celebrity Getaway

By
 Shou Sugi Ban House
An employee found Sabina Rosas, 33, of Brooklyn, New York dead at the Shou Sugi Ban House Monday afternoon, according to the Suffolk County Police Department, ABC News and NBC News reported. Flickr

Detectives are investigating the mysterious circumstances that led to the murder of a New York woman at an upscale Hamptons resort.

An employee found Sabina Rosas, 33, of Brooklyn, New York dead at the Shou Sugi Ban House Monday afternoon, according to the Suffolk County Police Department, ABC News reported.

"Suffolk County Police Homicide Squad detectives are investigating the murder of a victim whose body was found in a guest room at a Water Mill resort," county police said, according to NBC. "It was determined the woman was a victim of a violence."

Police believe the attack was targeted and isolated.

A cause of death and motive remain under investigation.

No arrests have been made.

The Shou Sugi Ban House is a wellness resort spread across five acres within a gated compound, according to its website. Thirteen luxury rooms, standalone residences and a spa are on property.

The luxurious hotel, which can cost up to $5,000 per night has seen such celebrity luminaries as Kate Hudson and Katie Couric walk through its doors, according to Vogue.

Tags
Murder, New York, New York City, U.S. Crime
Join the Discussion
More News
Florida Woman Barricades Family Inside House and Threatens to Tase

Florida Woman Barricades Family Inside House and Threatens to Tase Them After Daughter Asks to Live With Dad: Police

Tiffany Nichole Dunford

Virginia Woman Doused Victim In Gasoline Before Setting Her Ablaze As She Sat on Couch, Authorities Say

Carey Dale Grayson

Plea From Alabama Death Row Inmate Against 'Inhuman' Execution Method Shot Down With Only A Day To Live

Trentin Isaac

Missing Ohio Teenager Found Dead Under 'Suspicious Circumstances', Police Looking Into Possible 'Tips and Rumors' On Social Media

Real Time Analytics