This week, one of the world’s largest active botnets was finally brought down in an operation undertaken by a taskforce at Europol with the help of specialists from Symantec, Microsoft, and Anubis Networks.

Made possible by the notorious Ramnit malware, the 3.2 million-strong botnet was employed for a slew of nefarious activities, including massive spam campaigns, DDoS attacks, and virus distribution across thousands of separate networks.

Though the team behind the bust refused to name the group responsible for Ramnit, they told reporters that the server seizures spanned four different countries, all independently operating from one another and tasked with various parts of a puzzle that worked in concert to maintain the syndicated crime spree.

Because Ramnit was so versatile, it was capable of everything from flooding social networks with infected links to building backdoor trojans in individual systems. It’s said the tool was preferred by many high profile hackers due to its modular nature, which could be actively updated to deal with efforts to prevent its spread as it moved from one machine to the next.

When asked about the effect that the takedown of Ramnit would have, Steve Rye of the National Crime Agency told reporters that “…as a result of this action, the world is safer from RAMNIT, but it is important that individuals take action now to disinfect their machines, and protect their personal information.”

Related Posts

Your first Windows on ARM gaming laptop may be a Lenovo Legion

The clue comes from how Lenovo's naming appears to tag the platform inside each system. Qualcomm is marked with a Q, while NVIDIA shows up under two labels, N1 and N1X. A dataminer, Huang514613, surfaced a cluster of Lenovo models where those tags appear across multiple families, not just one device.

New study shows AI isn’t ready for office work

A reality check for the "replacement" theory

Google Research suggests AI models like DeepSeek exhibit collective intelligence patterns

The paper, published on arXiv with the evocative title Reasoning Models Generate Societies of Thought, posits that these models don't merely compute; they implicitly simulate a "multi-agent" interaction. Imagine a boardroom full of experts tossing ideas around, challenging each other's assumptions, and looking at a problem from different angles before finally agreeing on the best answer. That is essentially what is happening inside the code. The researchers found that these models exhibit "perspective diversity," meaning they generate conflicting viewpoints and work to resolve them internally, much like a team of colleagues debating a strategy to find the best path forward.