Upcoming Ubisoft Games Like Splinter Cell Remake, Assassin's Creed Jade, Codename Hexe, Could Leak Due To This Data Breach, All You Need To Know

The hackers these days are not sparing anyone, be it an AI company or a game studio. And in the recent massacre, Ubisoft has been targeted, and the result could be a leak of about half a dozen upcoming Ubisoft projects. According to a post made by an account on X, the hackers have exfiltrated the source code of all Ubisoft products from 1990 to till date. The data includes everything like games, Uplay, and other products by the company. The post suggests that the hackers have access to more than 900GB of data for 48 hours, and Crytek and Ubisoft have found themselves on the suffering end. Now, if Ubisoft fails to pay the ransom and it is confirmed that the data was successfully stolen, then we are talking about leaks that can shake up the whole

company, revealing all the products in development along with content from all the titles. The hack was executed via MongoDB using a security vulnerability named MongoBleed. Until now, Ubisoft has not confirmed anything related to the online leak of all source codes, so we are expecting a damage of catastrophic damage will most probably be avoided by the company.

What Is MongoBleed? The Technique Used To Breach Ubisoft

It would be disappointing for you to know that MongoBleed is one of the most boring hacking processes out there, nothing like Hollywood tech scenarios. MongoBleed happens when hackers scan the internet and find open MongoDB ports or a database with no authentication. In simple terms, if a company gets hit by MongoBleed, they can kiss goodbye to some of their most important databases or just focus on simple safeguards to stay safe from the situation. And game studios have been prime targets of MongoBleed because they have source codes, unreleased builds, DLCs, player databases, and a lot more. Furthermore, live service games like Rainbow Six Seige and GTA Online are the best resorts for hackers because they expose a lot of data in a single go.