OrangeHRM Login Panel - Detection Scanner

OrangeHRM is a widely-used human resource management system designed to help companies manage their HR functions such as attendance tracking, employee records, and performance evaluations. It is often deployed by small to medium-sized businesses due to its open-source nature and ease of use. System administrators and HR departments are the primary users of OrangeHRM. The application is typically hosted on-premises or in private/public cloud environments. Many organizations integrate it into their internal infrastructure or expose it via a web interface for remote access. Its popularity and web-based nature make it a common target for reconnaissance scans.

This scanner detects the presence of an accessible OrangeHRM login panel. While not inherently a vulnerability, the exposure of this panel may suggest poor configuration or lack of access restrictions. Detection of such panels allows defenders to assess whether authentication mechanisms and access policies are properly implemented. Public exposure of login interfaces can invite brute-force or credential-stuffing attacks. Identifying such exposure is an important step in reducing the external attack surface. Ensuring proper access control and monitoring can help mitigate associated risks.

Technically, the scanner sends GET requests to common OrangeHRM login panel paths, such as `/symfony/web/index.php/auth/login` and `/web/index.php/auth/login`. It verifies the presence of the OrangeHRM panel by matching specific HTML content like the page title or copyright. The match conditions rely on the presence of “

OrangeHRM

” or a footer line referencing “OrangeHRM, Inc.”. If a 200 OK status is returned alongside these identifiers, the panel is considered detected. This detection does not require authentication and can be performed externally.

If a malicious actor discovers an exposed OrangeHRM login panel, they may attempt to exploit it via credential attacks or use it as a pivot point for further enumeration. Unsecured panels can become gateways to sensitive HR data if not adequately protected. Attackers could also analyze the interface for version-specific vulnerabilities. Automated scanners and bots could continuously probe such panels for weaknesses. Persistent exposure may increase the likelihood of targeted attacks against HR systems. Addressing these exposures early can prevent more severe incidents later.

REFERENCES

• https://www.orangehrm.com/