NewsLetter DailyWeekly
My HanCinema | Sign up, Why ? Your E-mail   Password    Auto| Help
HanCinema :: The Korean Movie and Drama Database, discover the South Korean cinema and drama diversity Contact HanCinema HanCinema on TwitterFaceBook HanCinema PageHanCinema on Twitter

Jung Woo-sung, Hwang Jung-min and Ju Ji-hoon's 'Asura: The City of Madness' is coming to theatres next month

2016/08/17 Source

Film director Kim Seong-soo's new movie, "Asura: The City of Madness" has been decided to hit the box offices in September.

Among the six realms in Buddhism, Asura is the realm between Animal realm and Human Realm, where the endless wars and fights exist. Movie "Asura: The City of Madness" tells the story of villains who fight to survive.

Jung Woo-sung, who plays Han Do-gyeon, and Hwang Jung-min, who plays Park Seong-bae, a villain mayor will show off their strong screen presence effortlessly. Ju Ji-hoon playing a detective, who is attached to Han Do-gyeong like real brothers, and slowly turns into a villain influenced by the senior detective and Kwak Do-won playing a badass prosecutor, who is after Park Seong-bae will make sure to deliver the thrilling entertainment to the moviegoers this September.

Source :

Copy & paste guideline for this article
Always put a link back to the source and HanCinema permalink

Creative Commons License"Jung Woo-sung, Hwang Jung-min and Ju Ji-hoon's 'Asura: The City of Madness' is coming to theatres next month"
by HanCinema is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.
Based on a work from this source

Attention You're reading the news with potential spoilers, make them spoiler free, dismiss



 Previous news

Subscribe to HanCinema Pure to remove ads from the website (not for episode and movie videos) for US$0.99 monthly or US$7.99 yearly (you can cancel anytime). The first step is to be a member, please click here : Sign up, then a subscribe button will show up.


Remove ads

Sign up




Visible, hide

Learn to read Korean in 90 minutes or less using visual associations