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The North Korean threat actor known as the Lazarus Group has been observed leveraging a "web-based administrative platform" to oversee its command-and-control (C2) infrastructure, giving the adversary the ability to centrally supervise all aspects of their campaigns. "Each C2 server hosted a web-based administrative platform, built with a React application and a Node.js API," SecurityScorecard's

A team of security researchers from Georgia Institute of Technology and Ruhr University Bochum has demonstrated two new side-channel attacks targeting Apple silicon that could be exploited to leak sensitive information from web browsers like Safari and Google Chrome. The attacks have been codenamed Data Speculation Attacks via Load Address Prediction on Apple Silicon (SLAP) and Breaking the

Curious about the buzz around AI in cybersecurity? Wonder if it's just a shiny new toy in the tech world or a serious game changer? Let's unpack this together in a not-to-be-missed webinar that goes beyond the hype to explore the real impact of AI on cybersecurity. Join Ravid Circus, a seasoned pro in cybersecurity and AI, as we peel back the layers of AI in cybersecurity through a revealing

A critical security flaw has been disclosed in the Cacti open-source network monitoring and fault management framework that could allow an authenticated attacker to achieve remote code execution on susceptible instances. The flaw, tracked as CVE-2025-22604, carries a CVSS score of 9.1 out of a maximum of 10.0. "Due to a flaw in the multi-line SNMP result parser, authenticated users can inject

Ransomware attacks have reached an unprecedented scale in the healthcare sector, exposing vulnerabilities that put millions at risk. Recently, UnitedHealth revealed that 190 million Americans had their personal and healthcare data stolen during the Change Healthcare ransomware attack, a figure that nearly doubles the previously disclosed total.  This breach shows just how deeply ransomware

Posted by the Agentic AI Security Team Modern AI systems, like Gemini, are more capable than ever, helping retrieve data and perform actions on behalf of users. However, data from external sources present new security challenges if untrusted sources are available to execute instructions on AI systems. Attackers can take advantage of this by hiding malicious instructions in data that are likely to be retrieved by the AI system, to manipulate its behavior. This type of attack is commonly referred to as an "indirect prompt injection," a term first coined by Kai Greshake and the NVIDIA team. To mitigate the risk posed by this class of attacks, we are actively deploying defenses within our AI systems along with measurement and monitoring tools. One of these tools is a robust evaluation…