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'Proof Shot of Blood Pool' and More: Stabbed 40 Times After Enraged by Attempt to Stop Assault

It has been confirmed that an additional weapon believed to have been used in the crime was found at the crime scene of Jeong Jae-hwan, the suspect in the 'naked murder' case who has been indicted and detained, alongside the two previously known weapons.

According to prosecutors and other sources, Jeong was investigated to have used a total of three weapons on the day of the incident.

The additionally identified weapon is about 26 centimeters in total length and was found stained with blood near the head of the living room floor where the victim had collapsed. Prosecutors have secured it as physical evidence, recognizing it as proof of the crime.

The details of how the crime unfolded have also become more specific.

Investigations showed that while assaulting another friend who was at the scene, Jeong became enraged at the victim, who tried to stop the assault, and swung a weapon.

Prosecutors stated that they confirmed Jeong brutally committed the crime by indiscriminately attacking the victim who tried to restrain him, and continuing to wield the weapon even after the victim had already lost the ability to resist.

The victim was stabbed between 30 and 40 times in areas such as the neck, shoulders, back, and abdomen. The direct cause of death was investigated to be excessive bleeding resulting from multiple injuries.

It was also found that immediately after the crime, Jeong used his mobile phone to photograph the pool of blood on the floor.

Prosecutors indicted Jeong while detaining him yesterday (July 30) on charges of murder and assault.

Jeong is accused of murdering the victim, with whom he was drinking alcohol on the 4th, by stabbing him dozens of times with a weapon, and inflicting injuries by assaulting another friend who was present at the scene.

(Reported by Kim Min정, Video by Kim Hye-ju, Design by Lee Su-min, Produced by SBS Digital News)
※ Please note: This article was translated by AI and may contain errors.
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