Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In 2025, KrakenLabs tracked a series of shifts that reshaped how cyber threats materialized across organizations. Drawing on research conducted throughout the year, this article highlights the most consequential developments observed by KrakenLabs in 2025, where attacker success depended less on new tools or novel exploits and more on the large-scale exploitation of people, identity, and trusted access.

Exposure Management has quickly become one of the most talked-about concepts in cybersecurity. This article breaks down what exposure management really is, how it differs from vulnerability management, and why the ability to take action is what ultimately drives meaningful risk reduction.

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.

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.

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.