A massive trove of leaked data, amounting to 16 billion login credentials, has surfaced online, marking one of the largest breaches ever recorded. Security researchers believe the credentials were harvested by a range of infostealer malware strains and compiled from multiple incidents over time.
Cybernews researchers uncovered a massive trove of data, containing billions of login credentials spanning everything from social media accounts and corporate systems to VPN services and developer platforms. The discovery points to an unprecedented concentration of stolen access data circulating in cybercriminal spaces.
Since January, the Cybernews team has been actively tracking the web for large-scale data leaks and has identified 30 massive datasets, each containing over 3.5 billion records. According to their findings, all but one of these datasets were previously reported. Researchers warned that similarly large troves continue to surface every few weeks, underscoring the widespread impact of infostealer malware.
“This is not just a leak – it’s a blueprint for mass exploitation. With over 16 billion login records exposed, cybercriminals now have unprecedented access to personal credentials that can be used for account takeover, identity theft, and highly targeted phishing,” Cybernews researchers stated.
The researchers emphasized that these exposures go beyond simple data leaks, representing a blueprint for widespread and systematic exploitation. What’s especially concerning is the structure and recency of these datasets – these aren’t just old breaches being recycled. This is fresh, weaponizable intelligence at scale,” they added.
Additionally, the researchers reported that the majority of data in the leaked sets combine information harvested by stealer malware, credential stuffing attacks, and recycled data from previous breaches.
The team found that much of the exposed data followed a consistent format, typically listing a URL, then a username and password, suggesting it was harvested by modern infostealer malware that commonly collects credentials in this structured manner.
The leaked datasets have potentially unlocked access to a wide range of online platforms, including Apple, Facebook, Google, GitHub, Telegram, and several government portals, raising serious concerns about the security of user accounts and digital infrastructure.
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