Landray EIS Information Disclosure Scanner

Landray EIS is a collaborative platform widely used by corporations and organizations that require efficient document management and workflow automation. It serves industries like healthcare, finance, and education, providing solutions for collaboration, information sharing, and workflow efficiency. Typically utilized by large teams, it supports document management, content collaboration, and application integration, enhancing operational efficiency in diverse environments. Users appreciate Landray EIS for its robust features that streamline operations and increase productivity. Key components include document storage, retrieval mechanisms, and collaborative tools for task management and communication. Overall, this software is integral to organizations aiming to improve team collaboration and documenthandling efficiency.

Information Disclosure vulnerabilities occur when an application inadvertently reveals sensitive information to unauthorized users. This particular vulnerability in Landray EIS exposes sensitive information via its WS_getAllInfos interface. Malicious actors can exploit this flaw to access confidential data like cell phone numbers and unique identifiers (UNID). Such vulnerabilities typically arise from insufficient access controls or improper data handling practices. Addressing these vulnerabilities is crucial to maintain the confidentiality and integrity of the system's information. Information Disclosure can lead to further exploitation if attackers leverage disclosed data to perform more targeted attacks.

The vulnerability in Landray EIS occurs in the WS_getAllInfos interface of the system. This interface handles XML-based requests and responses, revealing sensitive elements when improperly secured. The interface relies on a POST request to '/WS/Basic/Basic.asmx' with a SOAP envelope. The matchers in place identify disclosure signs within the response body and headers by looking for specific XML-tied content such as 'WS_getAllInfosResponse' and personal data identifiers like 'CELL_PHONE_NUMBER'. A successful match typically responds with a status of 200, indicating successful data retrieval under vulnerable conditions. Ensuring only authenticated requests access such endpoints is critical to mitigating this vulnerability.

When exploited, this Information Disclosure vulnerability can have significant negative impacts. The exposure of confidential data can lead to unauthorized use of sensitive personal information, resulting in privacy breaches. This could further lead to identity theft or unauthorized financial transactions impacting affected individuals. From an organizational perspective, such vulnerabilities can lead to reputational damage and loss of customer trust. If attackers can link these disclosures to other vulnerabilities, they might initiate broader attacks, exploiting combined points of weakness. Thus, preventing the exploitation of this vulnerability is imperative to protect data confidentiality and organizational integrity.

REFERENCES

• https://mp.weixin.qq.com/s/CTLyriSSF-nQ8SUFv4RX0A
• https://github.com/akyosk/pocman/blob/main/cve/Lanling/Lanling_Info.py