Let’s catch up on the more interesting vulnerability disclosures and cyber security news gathered from articles across the web this week. This is what we have been reading about on our coffee break! I’m sure techs were hoping for a gradual wind down for the holiday season…

I first met Tines co-founders Eoin Hinchy and Thomas Kinsella more than a decade ago at eBay. Even then, we shared the same frustration: too much important work was slowed down by brittle processes, manual handoffs, and disconnected tools. We all believed technology should help people focus on meaningful work, not slow them down in muckwork. That idea has shaped my career ever since. I started out in security operations, using automation to make my own job easier.

Phishing remains one of the most common cyber threats, affecting users across industries and regions. It targets human behavior rather than technology, which makes it more effective than many other attack methods. Now, attackers are using advanced tools, like AI, to make phishing more effective. To know how to avoid phishing attacks, you must understand how they work and the different forms they take.

On December 3, 2025, immediately following the public disclosure of the critical, maximum-severity React2Shell vulnerability (CVE-2025-55182), the Cloudforce One Threat Intelligence team began monitoring for early signs of exploitation. Within hours, we observed scanning and active exploitation attempts, including traffic originating from infrastructure associated with Asian-nexus threat groups.

An API token is like a small digital key that tells a system that a user or an app is allowed to act in the system. When this key gets stolen, attackers act as real users and misuse the account. It’s called API token hijacking, and this issue has grown in the last few years. Most companies are not able to detect this problem in time. It’s important for IT/security teams to understand token theft to respond quickly and build stronger protection for future attacks.

In our recent analysis of AI browser exfiltration risks, we exposed how OpenAI's Atlas and Perplexity's Comet create permanent backdoors to sensitive data through persistent memory, autonomous agents, and cross-platform sync. The challenges with AI native browsers strongly resonated with CISO’s and security leaders we speak with on a daily basis. But the threat extends far beyond Atlas and Comet.

Sensitive information disclosure ranks on the OWASP Top 10 for LLM Applications, and for good reason. When AI-powered applications inadvertently expose private data like personally identifiable information (PII), financial records, health information, API keys, or proprietary business intelligence, the consequences cascade quickly: regulatory violations, competitive disadvantage, and shattered user trust.

In 2025, we engineered a truly new era of modern DAST. We unlocked next-gen assessments with “infinite” payloads, eliminated the trade-off between broad attack surface visibility and deep application testing, and found the ultimate balance between human ingenuity and machine intelligence with our AI Researcher, Alfred. The result? A modern DAST product that delivers unmatched innovation and accuracy in the AppSec space.