Security researcher and analyst Jon Oltsik examines how some companies go too far with automation and capabilities, stressing the need for alignment between security and IT operations.
On December 12, 2025, the MongoDB Security Engineering team disclosed a high-severity vulnerability in MongoDB that allows unauthenticated memory disclosure. The issue is tracked as CVE-2025-14847 and has a CVSS score of 8.7 and was quickly nicknamed MongoBleed in the security community due to the way it exposes server memory.
For years, the cybersecurity industry has told itself that vulnerability management has been improving. This story is centered around “more”: more scanners, more data, more dashboards. Despite this abundance, by 2025 the gap between activity and outcomes became impossible to ignore. Security teams were doing more work than ever but struggled to show that risk was actually going down.
Cato CTRL’s Vitaly Simonovich (senior security researcher) has discovered a vulnerability (CVE-2025-64496 with a “High” severity rating of 7.3 out of 10) in Open WebUI in versions 0.6.34 and older. This flaw affects the Direct Connections feature, which lets users connect to external AI model servers (ex: OpenAI’s API). If a threat actor tricks a user into connecting to a malicious server, it can lead to an account takeover attack.
Insecure Direct Object References, commonly referred to as IDORs, remain one of the most common and damaging classes of application vulnerabilities. Despite being well documented and widely understood at a conceptual level, they continue to appear in real production systems, particularly in modern, API-driven applications.
CVE-2025-14847, nicknamed MongoBleed, is a high-severity (CVSS 7.5–8.7) unauthenticated information disclosure vulnerability in MongoDB Server. It allows remote attackers to leak uninitialized heap memory containing sensitive data—such as credentials, API keys, session tokens, and PII—without authentication. Exploitation occurs pre-authentication via malformed zlib-compressed network packets on port 27017.
Zero-day vulnerabilities often attract attention and concern because of their unpredictability. They are, by definition, weaknesses that are unknown to software vendors and therefore have no official fix at the point of discovery. When discovered and exploited by malicious actors, they allow attackers to bypass controls before organisations even realise there is a problem.
Can an under-the-radar AI tool actually build a secure, functional CRUD note-taking app from scratch? In this video, I put GitHub Raptor Mini to the test to see if it can design, implement, and reason through a real-world CRUD application — including authentication, data handling, and basic security considerations.