IsoHunt against Child Porn
Filed under: Announcements & Events, Downloads, File-Sharing Programs, Networks & Services
With the Attorney General’s help, isoHunt tries to prevent thousands of porn child images from spreading on BitTorrent. The search engine is the first foreign website to partner with New York Attorney General Cuomo in an effort to keep the Internet clean from child pornography.
To combat the distribution of child pornography on the Internet, New York Attorney General Cuomo has started a hash value database. Site owners can use the database to voluntarily prevent thousands of illegal files from being shared via links posted from their websites.
The database is in use by many large social networking sites such as Facebook, Friendster and MySpace and the Attorney General is continuously looking for new partners to join. One of the latest websites to be approached by the Attorney General’s office is the BitTorrent site isoHunt, whose owner immediately said yes to the invitation.
“Users of isoHunt have often notified us of illegal child content in the past. We are pleased to expand this effort in working with Attorney General Cuomo in a collaborative database in stopping such appalling files from being spread on BitTorrent,” commented isoHunt owner.
Canada-based IsoHunt is not only the first BitTorrent site to join the program, it is also the first website outside the United States to cooperate with the initiative.
“This is all about protecting kids, and the same way child pornographers use technology to distribute these disturbing images, we are using technology to shut off their digital pipeline”, said Cuomo as he welcomed isoHunt to the program.
IsoHunt’s collaboration with the Attorney General sheds an interesting light on the lawsuit against the MPAA its currently involved with. In this case, a court ordered isoHunt to implement a keyword filter based on film titles provided by the MPAA. IsoHunt appealed this decision, claiming that a keyword filter would result in too much collateral damage and instead suggesting that a filter based on unique and confirmed fingerprints (hashed) would be more effective.



