27.02.2026 09:50
A 20-year-old woman arrested in connection with the deaths of two men and the discovery of another man unconscious quickly gained over 10,000 followers after her photos spread, up from 265. The woman's beauty overshadowed the brutality, as it was determined that she caused the men's deaths by mixing substances into their drinks. Users claimed that the young woman should be released because she is "very beautiful."
A 20-year-old woman has been detained in the investigation related to the deaths of two men and the discovery of one person in a fainted state in South Korea. Authorities believe that the deaths occurred due to substances the suspect, known as Kim Mo, mixed into the men's drinks at the hotel they visited together. According to reports in the foreign press, the young woman admitted during her interrogation that she had put drugs into the drinks but claimed she did not foresee that deaths would occur. In her statement, she expressed that she only targeted men whom she thought had wronged her.
PHOTOS SPREAD, FOLLOWER COUNT SOARED
While the police did not make an official statement, some social media accounts published the young woman's photos and personal accounts under the title "We are exposing the serial murder suspect." Following these posts, the number of followers on the suspect's Instagram account rose from 265 to over 10,000.
COMMENTS LEFT PEOPLE HORRIFIED
More than two thousand comments were written under her photos. Some users defended the woman and called for her release. Expressions like "Very beautiful. I would have drunk that drink too," "The court should consider her appearance and release her," "Lighten her sentence," "She is innocent" resonated widely on social media.
SUSPECT ASKED QUESTIONS TO ARTIFICIAL INTELLIGENCE
The teams conducting the investigation began to examine the suspect's messaging applications and social media accounts. Authorities determined that the young woman had searched for the dangers of mixing pills and alcohol through ChatGPT before the incident. The system flagged this query as "high risk."