US EditionAuthorities Charge Afghan Suspect in Munich Car Ramming Attack that Killed 2 and Injured 44
An Afghan man charged with two murders and 44 attempted murders after ramming a car into a labor union crowd, driven by extremist religious motives, prosecutors say.
- An Afghan national, identified as Farhad N., is accused of two charges of murder and 44 charges of attempted murder for a car-ramming attack during a trade union demonstration in Munich in February.
- The attack killed a 37-year-old woman and her 12-year-old daughter, while injuring 44 others, with prosecutors stating Farhad N.'s motive was his 'excessive religious motivation.'
- Farhad N., who came to Germany as an asylum seeker, believed he was obliged to attack and kill randomly selected people in Germany in response to the suffering of Muslims in Islamic countries, according to the prosecution.
32 Articles
32 Articles
After the attack with a vehicle on a Verdi demonstration in Munich in February, the Federal Prosecutor's Office charged the alleged perpetrator.
Man charged over Munich car ramming attack that killed two and injured 44
Authorities in Germany have announced murder charges against an Afghan man accused of killing two people and injuring 44 in a car ramming in Munich in February that prosecutors say was motivated by a desire to avenge suffering of Muslims.
Associated Press News
Authorities charge Afghan suspect in Munich car ramming attack that killed 2 and injured 44
Authorities in Germany have announced murder charges against an Afghan man accused of killing two people and injuring 44 in a car-ramming in Munich in February that prosecutors say was motivated by a desire to avenge suffering of Muslims.
In February, a man rushed into a march in Munich, a woman and her two-year-old daughter died. Now, the Federal Prosecutor's Office has indicted her. She speaks of an "excessive religious motivation".
On February 13, 2025, a 24-year-old raced into a crowd at a Verdi demonstration in Munich. Now there is new information.
Coverage Details
Bias Distribution
- 39% of the sources lean Left
Factuality
To view factuality data please Upgrade to Premium
