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Cybersecurity researchers are warning of a new campaign that's targeting Portuguese-speaking users in Brazil with trial versions of commercial remote monitoring and management (RMM) software since January 2025. "The spam message uses the Brazilian electronic invoice system, NF-e, as a lure to entice users into clicking hyperlinks and accessing malicious content hosted in Dropbox," Cisco Talos researcher Guilherme Venere said in a Thursday report. The attack chains begin with specially crafted spam emails that claim to originate from financial institutions or cell phone carriers, warning of overdue bills or outstanding payments in order to trick users into clicking on bogus Dropbox links that point to a binary installer for the RMM tool. Two notable RMM tools observed are N-able RMM Remote Access and PDQ Connect , granting attackers the ability to read and write files to the remote file system. In some cases, the threat actors then use the remote capabilities of th...

AI agents are changing the way businesses work. They can answer questions, automate tasks, and create better user experiences. But with this power comes new risks — like data leaks, identity theft, and malicious misuse. If your company is exploring or already using AI agents, you need to ask:  Are they secure? AI agents work with sensitive data and make real-time decisions. If they’re not protected, attackers can exploit them to steal information, spread misinformation, or take control of systems. Join Michelle Agroskin, Product Marketing Manager at Auth0 , for a free, expert-led webinar — Building AI Agents Securely  — that breaks down the most important AI security issues and what you can do about them. What You’ll Learn: What AI Agents Are: Understand how AI agents work and why they’re different from chatbots or traditional apps. What Can Go Wrong: Learn about real risks — like adversarial attacks, data leakage, and identity misuse. How to Secure Them: Discover prov...

Cybersecurity researchers have flagged three malicious npm packages that are designed to target the Apple macOS version of Cursor, a popular artificial intelligence (AI)-powered source code editor. "Disguised as developer tools offering 'the cheapest Cursor API,' these packages steal user credentials, fetch an encrypted payload from threat actor-controlled infrastructure, overwrite Cursor's main.js file, and disable auto-updates to maintain persistence," Socket researcher Kirill Boychenko said . The packages in question are listed below - sw-cur (2,771 downloads) sw-cur1 (307 downloads), and aiide-cur (163 downloads) All three packages continue to be available for download from the npm registry. "Aiide-cur" was first published on February 14, 2025. It was uploaded by a user named "aiide." The npm library is described as a "command-line tool for configuring the macOS version of the Cursor editor." The other two packages, ...

The Vulnerability Treadmill The reactive nature of vulnerability management, combined with delays from policy and process, strains security teams. Capacity is limited and patching everything immediately is a struggle. Our Vulnerability Operation Center (VOC) dataset analysis identified 1,337,797 unique findings (security issues) across 68,500 unique customer assets. 32,585 of them were distinct CVEs, with 10,014 having a CVSS score of 8 or higher. Among these, external assets have 11,605 distinct CVEs, while internal assets have 31,966. With this volume of CVEs, it’s no surprise that some go unpatched and lead to compromises. Why are we stuck in this situation, what can be done, and is there a better approach out there? We’ll explore the state of vulnerability reporting, how to prioritize vulnerabilities by threat and exploitation, examine statistical probabilities, and briefly discuss risk. Lastly, we’ll consider solutions to minimize vulnerability impact while giving management ...

Google on Thursday announced it's rolling out new artificial intelligence (AI)-powered countermeasures to combat scams across Chrome, Search, and Android. The tech giant said it will begin using Gemini Nano , its on-device large language model (LLM), to improve Safe Browsing in Chrome 137 on desktops. "The on-device approach provides instant insight on risky websites and allows us to offer protection, even against scams that haven't been seen before. Gemini Nano's LLM is perfect for this use because of its ability to distill the varied, complex nature of websites, helping us adapt to new scam tactics more quickly," the company said . Google noted that it's already using this AI-driven approach to tackle remote tech support scams, which often seek to trick users into parting with their personal or financial information under the pretext of a non-existent computer problem. This works by evaluating the web pages using the LLM for potential signals that are...