Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A newly disclosed denial-of-service vulnerability, CVE-2025-66675, affects a wide range of Apache Struts 2 versions and poses a serious availability risk for applications that handle file uploads. While the EPSS score is 0.05%, indicating a low probability of exploitation in the next 30 days, the vulnerability still represents a high availability risk for exposed and unpatched environments.

Modern exposure management has evolved beyond vulnerability scanning and alert volume into a discipline focused on measurable risk reduction. As the exposure management market matures, security leaders are adopting cyber exposure management platforms that unify signals across vulnerability, cloud, application, and attack surface tools to prioritize what truly matters.

On December 17, 2025, SonicWall released fixes for an actively exploited medium-severity zero-day vulnerability in the SonicWall SMA1000 Appliance Management Console (AMC), tracked as CVE-2025-40602. The vulnerability allows local threat actors to escalate privileges due to insufficient authorization in the SMA1000 AMC and does not affect SSL VPN functionality on SonicWall firewalls.

The disclosure of React2Shell (CVE-2025-55182) triggered a rapid patching effort across the React and Next.js ecosystem. However, deeper inspection of React Server Components (RSC) in the aftermath revealed additional vulnerabilities in adjacent code paths. These vulnerabilities pose serious operational and security risks.

Application Security, WAF, and OWASP form an interconnected defense strategy for web applications. OWASP (Open Web Application Security Project) provides the framework for identifying critical vulnerabilities through resources like the OWASP Top 10, while WAFs act as the protective layer that detects and blocks attacks targeting these vulnerabilities in real-time.

From intelligent chatbots to autonomous agents, innovation has never moved faster thanks to GenAI. But with the rate of velocity comes a massive new challenge: a class of complex, non-deterministic security risks that traditional cybersecurity methods are simply not equipped to handle. AI-native applications are already running in production. Across industries, teams are deploying copilots, RAG systems, autonomous agents, and AI-powered workflows faster than traditional security processes can keep up.