attack

DDoS attack trends for the second half of 2023 reveal alarming developments in their scale and sophistication, according to Gcore. The maximum attack power rose from 800 Gbps …

Global attack attempts more than doubled in 2023, increasing 104%, according to Armis. Blind spots and critical vulnerabilities are worsening, with 45% of critical CVEs …

Computer science researchers have developed a new way to identify security weaknesses that leave people vulnerable to account takeover attacks, where an attacker gains …

In this Help Net Security interview, Tim Morris, Chief Security Advisor at Tanium, discusses ransomware negotiation, how it typically unfolds, and how organizations should …

OAuth attacks are on the rise. In December, the Microsoft Threat Intelligence team observed threat actors misusing OAuth apps to take over a cloud server and mine …

The motivations behind cyberattacks are as diverse as the methods employed. Whether driven by financial gain, political agendas, or sheer malice, cybercriminals exploit …

In this Help Net Security video, John Dwyer, Head of Research at IBM X-Force, discusses how 2024 is poised to be an incredibly impactful year for cyber attacks, driven by …

Threat actors evolved tactics, opting for a more nuanced approach that spread attacks across a broader timeframe to blend in with legitimate traffic and evade detection during …

In this Help Net Security video, Jay Yaneza, Cybersecurity Architect at VicOne, discusses how, in the first half of the year, cyberattacks on the automotive sector caused …

Ransomware has become a pervasive threat, compromising the security and functionality of vital systems across the United States. While governmental pledges and public …

CISOs don’t need a crystal ball – they already know that 2024 will be another tough year, especially with AI at everyone’s mind. Instead of playing catch-up regarding …

AI security researchers from Robust Intelligence and Yale University have designed a machine learning technique that can speedily jailbreak large language models (LLMs) in an …