Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Apache Tomcat recently disclosed a critical security vulnerability, CVE-2025-24813, affecting several versions of its widely used servlet container. This vulnerability arises from improper handling of path equivalence checks involving filenames with internal dots (file…txt). Exploitation could result in unauthorized information disclosure, file manipulation, and even remote code execution (RCE).

Cybersecurity has advanced beyond the reliance on firewalls and antivirus software. As cyber threats become more sophisticated and unpredictable, traditional security tools alone are no longer enough. Modern attacks exploit unknown, unmanaged, and overlooked assets, making Attack Surface Management (ASM) essential for a proactive and comprehensive defense.

With the rise of hybrid work and software-as-a-service (SaaS) applications for core business functions, as well as the near ubiquity of the cloud, organizations’ attack surfaces are no longer easily defined. In many cases, they are rapidly expanding. This presents both new opportunities for threat actors and new challenges for security teams, giving rise to a new tactic for security posture improvement — attack surface management.

The enterprise attack surface now extends well beyond the network firewall. As a result, Third Party Risk Management Teams are increasingly becoming an extension of Security Operations Centers, responding in times of crisis to questions of who, what, and more urgently, how and when. The line between ‘their exposure’ and ‘our risk’ is almost non-existent. But bridging the gap between data and platforms can be challenging.

When generative AI first emerged, the cybersecurity community primarily focused on two promising benefits. However, a concerning “third angle” has now been demonstrated: AI as an attacker – powerful AI systems in the hands of malicious actors, autonomously exploiting vulnerabilities with minimal human guidance.

Organizations rely on stable systems to run their operations. Unfortunately, the IP addresses representing these systems can change frequently. This is especially challenging for cybersecurity, where identifying and tracking assets by IP address is crucial. Dynamic IP management is the practice of identifying, tracking, and contextualizing systems that use dynamic IPs to ensure accurate visibility, reduce noise, and maintain a continuous security posture.

A newly discovered critical vulnerability in the XWiki Platform, tracked as CVE-2025-24893, allows unauthenticated remote code execution (RCE) through the SolrSearch macro. This vulnerability was assigned a CVSS score of 9.8 as rated by GitHub, Inc.)

On February 12, 2025, Palo Alto Networks announced CVE-2025-0108, a high severity (8.8) authentication bypass vulnerability affecting Palo Alto Networks PAN-OS management web interface. Successful exploitation of this vulnerability allows unauthenticated attackers with network access to invoke certain PHP scripts without proper authentication. While it does not lead to remote code execution, it impacts the confidentiality and integrity of the affected system.

Recently, Palo Alto Networks disclosed CVE‑2025‑0108—a high-severity authentication bypass in the PAN‑OS management web interface. Although the flaw does not enable remote code execution, it compromises the confidentiality and integrity of management functions. In this post, we’ll break down the technical details, discuss the exploitation methodology, illustrate configuration and code examples, and outline effective mitigation strategies.