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.

Industrial control systems (ICS) and SCADA (Supervisory Control and Data Acquisition) environments were never designed to be exposed to the internet. Yet, as manufacturing enterprises embrace digital transformation, they find themselves in a challenging position—balancing operational efficiency with cybersecurity risk.

In the world of cybersecurity, nothing stays still for long. The endless proliferation of new technologies and rapidly shifting threat landscapes forces organizations to continually reevaluate their approach to risk. Over the last two decades, security teams have leaned heavily on vulnerability management (VM) solutions to identify, classify, and patch software vulnerabilities on internal assets.

As enterprises continue to adopt hybrid and multi-cloud environments, the complexity of managing network security has increased significantly. Attack Surface Management (ASM) has emerged as a critical capability for identifying, monitoring, and mitigating risks across these dynamic environments. Forward Networks’ innovative digital twin technology delivers a compelling solution that addresses the challenges of effective ASM practices.