Suspect in Stockholm attack that killed 4 & injured 15 is ISIS member – Uzbekistan FM

Uzbekistan’s Foreign Ministry has confirmed that the suspect in the Stockholm truck attack, an Uzbek citizen, had been investigated for having terrorist sympathies. He apparently had called on his fellow Uzbeks to go to Syria and join Islamic State.

Read more

 Forensic police investigators work at the crime scene in central Stockholm on April 08, 2017 © Noella Johansson

The statement said Rakhmad Akilov, 39, who is now in Swedish police custody, was flagged as a potential threat. Uzbekistan had given information about the man to a western security service partnered with Sweden, it added.

IS recruited Akilov himself after he left Uzbekistan in 2014, Foreign Minister Abdulaziz Kamilov told reporters on Friday.

Last Friday’s assault took place in Drottninggatan, one of the Stockholm’s main pedestrian areas, where a truck ploughed through a crowd, killing four and injuring over a dozen people.

The Swedish police identified the alleged perpetrator as a rejected asylum seeker and Islamic State (IS, formerly ISIS/ISIL) sympathizer. He managed to flee the scene, but was arrested after a manhunt.

READ MORE: The Stockholm truck attack suspect appeared in ‘security information’ before – police

DETAILS TO FOLLOW

Let’s block ads! (Why?)

RT – Daily news

Post Author: martin

Martin is an enthusiastic programmer, a webdeveloper and a young entrepreneur. He is intereted into computers for a long time. In the age of 10 he has programmed his first website and since then he has been working on web technologies until now. He is the Founder and Editor-in-Chief of BriefNews.eu and PCHealthBoost.info Online Magazines. His colleagues appreciate him as a passionate workhorse, a fan of new technologies, an eternal optimist and a dreamer, but especially the soul of the team for whom he can do anything in the world.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.