BioTime Panel Detection Scanner
This scanner detects the use of BioTime Web 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
25 days 14 hours
Scan only one
URL
Toolbox
-
The BioTime Web Login Panel is a component of ZKTeco's BioTime software, which is widely used for employee time and attendance management. This software is employed by various organizations around the world, including corporations and educational institutions, to monitor and record employee log-in times, manage payroll, and schedule work shifts. The BioTime software can be deployed as an on-premises solution or cloud-based service, allowing flexibility for different business needs. In addition to time management, it often includes features for access control, allowing employers to regulate who can access specific areas within a facility. The software's user-friendly interface is intended to streamline workforce management and enhance productivity. With its broad functionality, BioTime is a vital tool for efficient human resource and facilities management.
The vulnerability in question is a Panel Detection vulnerability, which involves identifying the presence of the BioTime Web Login Panel on a network. Detecting such panels enables security teams to map out attack surfaces and identify potential entry points for unauthorized access or attacks. Detection vulnerabilities of this nature can be considered low-risk but are crucial for comprehensive security assessments. By identifying accessible panels, organizations can better understand which systems are potentially visible and vulnerable to outside threats. While simply detecting the panel does not inherently cause a security breach, it serves as a stepping stone for further protective measures. As such, keeping track of detected panels helps organizations bolster their security posture by mitigating potential threats before they unfold.
The BioTime Web Login Panel can be detected by issuing GET requests to specific endpoints, such as the base URL or the "/login/" path. If the title "BioTime" is present in the response body and the status code returned is 200, the panel is confirmed to be present. This detection relies primarily on regex matching and status code checks, making it a straightforward process. Identifying these panels is mainly about collecting information for defensive purposes. It helps determine whether the panel is publicly exposed and may impact its security posture. Even though this type of detection does not exploit weaknesses, it is a highlight for organizations to verify their configurations are secure and private, preventing unintended access.
If exploited, malicious entities could use the information from the detected panel to identify targets for more serious attacks, such as unauthorized access or data breaches. Once a login panel is identified, attackers might attempt credential stuffing or brute-force methods to gain access, leading to potential unauthorized access to sensitive time and attendance data or broader network infiltration. Early detection of these panels could prevent subsequent malicious actions. It allows security teams to remediate any misconfigurations that could lead to further harm. Keeping such panels undisclosed or safeguarded dramatically reduces the risk of them being used as a gateway for cyber threats.