New York Times 270GB of Source Code 'Leaked' on 4Chan

The New York Times' source code has just been "leaked" on the anonymous forum board 4Chan as more corporate giants suffer data breaches.

New York Times 270GB of Source Code 'Leaked' on 4Chan
Angela Weiss/AFP via Getty Images

In a post on X (formerly Twitter) last Friday, data leak reporter @vxunderground confirmed that 270GB of New York Times data, including over 5,000 source code and 3.6 million data files, has been leaked.

New York Times' Wordle Hit by 4Chan Hacking

The data breach reportedly occurred via the New York Times' GitHub repository where most of its source code, including operating systems for its popular Wordle game.

In response, The New York Times told Bleeping Computer that it had already taken "appropriate measures" to the data breach.

The news publisher assured that the data leak that apparently happened earlier in January will affect its operations.

The data breach on the New York Times is the second major data leak in the past week, just days after Club Penguin fans allegedly hacked Disney.

Club Penguin, a now-defunct Disney web-based game, is among the common gathering spots for 4chan users to launch online troll campaigns as they did in Habbo Hotel in 2006.

4Chan Surfaces Again in Data Leak Controversies

The data breaches on Disney and the New York Times marked the resurgence of the forum board in cyberattacks and service disruptions since it first became infamous in the early 2000s and 2010s.

The forum board first became associated with hacking operations with the rise of the cybercriminal gang Anonymous, one of the biggest "hacktivist" groups in digital space.

Since then, 4Chan users have launched cyberattack campaigns against other online platforms and companies for various reasons but often linked to far-right movements.

Due to the forum board hiding its users in anonymity, it is harder to ascertain the perpetrators.

© 2024 iTech Post All rights reserved. Do not reproduce without permission.

More from iTechPost

Real Time Analytics