LinShare Panel Detection Scanner
This scanner detects the use of LinShare login panel in digital assets.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
12 days 1 hour
Scan only one
URL
Toolbox
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LinShare is an open-source file-sharing application typically used by organizations to securely exchange files both internally and externally. It is developed by Linagora and serves clients who require a reliable platform for file exchanges, ensuring integrity and confidentiality. Its user base includes corporations, educational institutions, and government agencies needing robust document management. The software allows users to upload, store, and share files with colleagues or stakeholders, offering features like account management, transaction monitoring, and automation. LinShare integrates with various IT infrastructures providing flexibility and scalability, which makes it favorable for numerous enterprise environments. Its primary goal is to facilitate seamless, secure digital collaboration that enhances productivity within organizations.
The detection of the LinShare login panel falls under the category of panel detection vulnerabilities. This vulnerability can help identify LinShare installations using recognizable patterns assessed through HTTP responses. A login panel detection vulnerability is primarily an information-gathering issue that reveals the presence of a specific version or type of web interface. By exposing a login panel, it increases the exposure to potential authentication attacks if not properly secured. Although inherently not harmful, knowledge of login panel presence can serve attackers attempting unauthorized access to systems. It showcases how software detection can unveil potentially exploitable entry points for attackers.
Technical details of the vulnerability involve specific indicators within the application's HTTP responses that denote the presence of a LinShare login panel. The request pattern checks for particular elements, such as HTML title tags or JavaScript application names embedded in response bodies. Matching these patterns helps in identifying the active instances of LinShare interfaces. The endpoints checked include base and login-specific URLs which may indicate proper application deployments. These patterns are assessed through logic statements ensuring required conditions meet to validate panel detection successfully. Such details are essential for confirming the presence and proper deployment of LinShare software.
If this vulnerability is exploited, possible effects include increased visibility to attackers about the infrastructure using LinShare, potentially making it a target for further attacks. Exposure to login panels potentially increases the risk of brute force attacks or repeated login attempts if improper security configurations are in place. An attacker with knowledge of active panels could also attempt phishing or social engineering attacks against users. If combined with other vulnerabilities, it might aid in unauthorized access and data breaches. Even though direct damage is limited, awareness of panel presence can lead to overlooking other critical vulnerabilities present.
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