SteVe Default Login Scanner
This scanner detects the use of SteVe in digital assets.
Short Info
Level
Informational
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
1 minute
Time Interval
16 days 12 hours
Scan only one
Domain, IPv4
Toolbox
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SteVe (Steckdosenverwaltung) is a software platform used for managing charging stations for electric vehicles. It is employed by businesses and organizations to streamline the management and monitoring of charging infrastructure. The software is typically used by system administrators and engineers who are responsible for electric vehicle charging networks. SteVe is an open-source project supported by a community of developers, focusing on providing efficient functionalities for controlling and accessing charging stations. The platform offers features such as user management, session tracking, and station supervision to ensure seamless operation. It's a vital tool for institutions seeking to provide electric vehicle services in a smart and organized manner.
The detected vulnerability involves default login credentials, a common weakness in software systems. Default login vulnerabilities occur when software is shipped with pre-configured usernames and passwords, making it susceptible to unauthorized access. This issue is prevalent in systems that are not properly configured post-installation, leaving them open to exploitation. Attackers can easily gain access to such systems if the default credentials are unchanged, leading to potential data breaches. This vulnerability underlines the importance of proper system configuration practices. Awareness of this flaw is crucial for maintaining security in any digital asset using SteVe.
Default Login vulnerabilities typically exploit the initial setup of a software product where standard usernames and passwords are used. Attackers may seek access to endpoints like the login panel in SteVe through automated scripts or manual techniques. The vulnerable parameters in this context are usually the "username" and "password" fields of the login form. This detection involves sending various typical default login credentials through these fields to gain unauthorized access. If access is granted using these credentials, it confirms the vulnerability. The technical detail revolves around the weak configuration practice that permits maintenance of default settings without user intervention.
Exploiting this vulnerability could lead to unauthorized access to sensitive information stored within the SteVe system. Attackers might exploit such access to compromise networked devices or manipulate charging sessions. This unauthorized access can also allow attackers to alter user data, potentially disrupting services or causing data loss. Moreover, control over the charging infrastructure can be seized, leading to unauthorized use of resources or service downtime. The result could include financial repercussions, reputational damage, and operational challenges for the affected organization.
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