eZ Publish Panel Detection Scanner
This scanner detects the use of eZ Publish Panel in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
23 days 21 hours
Scan only one
URL
Toolbox
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eZ Publish is an open-source enterprise content management system (CMS) used globally by organizations for creating, managing, and delivering digital content. It's widely utilized in sectors such as media, education, and enterprise environments, where managing large volumes of content efficiently is crucial. Organizations prefer eZ Publish for its scalability, customization options, and capability to support multilingual content. Digital content managers, technical teams, and businesses leverage eZ Publish to streamline content workflows and enhance web experiences. The platform is compatible with multiple operating systems and offers robust APIs for integrations, enhancing its applicability across different systems. eZ Publish is used to increase content accessibility, drive user engagement, and optimize content delivery across various digital channels.
Panel detection in eZ Publish involves identifying instances where the login or management panels are accessible, which can pose security risks if left unprotected. The vulnerability primarily stems from the exposure of the login panel, potentially leading attackers to brute force or exploit entry points in the system. Detecting the panel assists administrators in recognizing default or exposed panel setups that should be secured to prevent unauthorized access. This detection helps in security assessments by pointing out configurations that might invite security breaches. The goal is to prompt further investigation and secure exposed interfaces to safeguard sensitive data and system integrity. Regular audits using detection templates can help maintain security and ensure compliance with organizational policies.
The technical endpoint often checked involves the HTTP response for specific markers indicating the presence of eZ Publish's login panel or related pages. During detection, the system identifies characteristic elements in the body or headers of the HTTP request that confirm the eZ Publish installation. This method leverages pattern matching and string checks to ascertain the panel's presence without needing access credentials. The detection process is efficient, allowing quick identification across numerous assets, ensuring manual checks can focus only on confirmed cases. Matchers are configured to identify both visible content and less overt indicators in headers, providing comprehensive coverage. These methodologies help optimize scanning processes for large networks or digital ecosystems where multiple instances are deployed.
Exploiting an unsecured eZ Publish panel can lead to severe consequences, such as unauthorized data access, alteration, or service disruption. If attackers gain entry through the panel, they may manipulate content, affecting the site's credibility and causing reputational damage. Data breaches from such vulnerabilities impact user trust and could lead to compliance issues with data protection regulations. Furthermore, the exposure of configuration interfaces makes the system vulnerable to further exploits that could compromise other integrated systems. Effective detection and remediation minimize these risks by securing exposed access points, ensuring that only authenticated personnel can perform administrative tasks. Failures in addressing these issues could result in financial losses, brand damage, and loss of user confidence.