KLR 300N Router Panel Detection Scanner
This scanner detects the use of KLR 300N Router in digital assets. It is valuable for identifying the presence of the KLR 300N Router login panel in networks.
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
8 days 6 hours
Scan only one
URL
Toolbox
-
The KLR 300N Router is primarily used in home and small office settings to provide wireless internet connectivity. It is manufactured by KEO, a company known for producing reliable consumer networking devices. The router is designed for ease of use, with a web-based interface for configuration. The KLR 300N supports multiple wireless standards, providing flexibility for different devices and usage scenarios. This router is valued for its affordability and performance, making it a popular choice in cost-conscious markets. With its multilingual interface, it caters to a broad user base across various regions.
This panel detection vulnerability is concerned with identifying the presence of the KLR 300N Router's web login panel. The vulnerability can be exploited to determine if the login page is publicly accessible. Unauthorized access to the login page could potentially allow attackers to attempt brute force attacks. A successful attack could compromise the network secured by the router. Detecting the panel is a crucial step in securing the router against unauthorized access. Understanding this vulnerability is key in maintaining network security.
The technical details of the vulnerability involve accessing the router's login page typically found at the relative path "/login.asp" on the router's IP. The page includes specific indicators such as the title "Roteador Wireless KLR 300N" and the presence of a login form. Detection involves checking the HTTP status and content to confirm the panel's presence. This verification process is crucial to ensure accurate detection and assessment of potential security risks. Network administrators need to check for default or weak credentials associated with these login panels. Utilizing this detection can highlight areas that require improved security measures.
Exploitation of this vulnerability could result in unauthorized access to the router's administrative functions. An attacker could modify network settings, leading to service disruption or data interception. Additionally, compromised routers can become part of botnets used in large-scale cyber attacks. Access to the router's settings might also expose sensitive information, including network credentials. Continuous monitoring and regular updates are essential to mitigating these risks. Understanding and addressing this vulnerability effectively can prevent significant security breaches.
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