Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A newly disclosed MongoDB vulnerability, tracked as CVE-2025-14847 and informally referred to as MongoBleed, allows unauthenticated remote attackers to leak uninitialized memory from a MongoDB server. A public proof-of-concept exploit is already available, significantly increasing the risk for exposed MongoDB deployments. This post explains how the vulnerability works, what is required to exploit it, and how ARMO helps identify exposure and detect exploitation attempts at runtime.

In the world of database security, few things are as alarming as an unauthenticated memory leak. It recalls the panic of OpenSSL’s Heartbleed - a vulnerability where a simple heartbeat request could bleed out sensitive secrets from a server's memory. Now, MongoDB users are facing their own version: CVE-2025-14847, widely dubbed "MongoBleed".

In the current AI gold rush, teams are rapidly standing up automation, AI orchestration, and integration platforms to move faster. In many cases, speed comes at the expense of visibility and security. This is where external attack surface management becomes critical. IONIX can identify and continuously monitor a wide range of AI-related and automation assets exposed to the internet, helping organizations understand what they are running, where it is exposed, and what risks it introduces.

A critical remote code execution (RCE) vulnerability has been disclosed in n8n, a popular open-source workflow automation platform widely used to orchestrate business processes, SaaS integrations, and internal automation pipelines. Tracked as CVE-2025-68613, the vulnerability carries a CVSS score of 9.9 (Critical) and allows authenticated attackers to execute arbitrary system-level code on vulnerable n8n instances.

Remediation coordination often fails because security teams are dealing with unowned assets and resources. In this hands-on demo, Seemplicity Exposure Management Strategist Rob Babb shows how ownership gaps create blind spots, stall remediation, and slow exposure reduction across teams. The walkthrough highlights how remediation orchestration establishes accountability, improves visibility, and enables automation for exposure remediation across cloud, application, and infrastructure environments.

A critical code injection vulnerability has been identified in Apache Commons Text, a widely used Java library for text processing and interpolation. Tracked as CVE-2025-46295, the vulnerability carries a CVSS v3 score of 9.8 (Critical) and affects all versions of the library prior to 1.10.0. The vulnerability has an EPSS score of 0.253%, indicating a low short-term probability of exploitation.