S4E just found a high-severity finding from [ai] web application login panel detection scanner
high·Misconfiguration·Updated Oct 8, 2024

Advantech R-SeeNet Default Login Scanner

This scanner detects the use of Advantech R-SeeNet in digital assets. It helps in identifying the presence of default admin credentials used for monitoring Advantech routers.

Est. Time~1 minutes
Scan TypeSingle Scan
Targetsdomain, ipv4, subdomain
CostFree
2.9k
Times Used
continuous scan runs
3.4k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
Detail

Advantech R-SeeNet is a software system utilized for monitoring the status and functions of Advantech routers. It is typically deployed by network administrators in organizations relying on Advantech infrastructure. The product assists in visualizing network performance and managing network devices remotely. By providing comprehensive data reports, it aids in maintaining network reliability. Network monitoring applications like R-SeeNet are crucial for operational consistency. R-SeeNet is specifically aimed at users managing large sets of data and remote devices.

The vulnerability being detected is the presence of default admin credentials within the Advantech R-SeeNet system. Default Logins are notorious for being a significant security flaw, often exploited by cyber attackers. This vulnerability could lead to unauthorized access to sensitive network data. If unaddressed, it poses a major risk to network integrity. Identifying the usage of default login credentials is crucial for securing the network. This detection allows administrators to address potential entry points that attackers might exploit.

Technically, this vulnerability is identified by checking for the default login parameters, "admin" as the username and "conel" as the password. This involves submitting login requests and analyzing the responses for patterns indicating a successful login. Key indicators are specific text patterns like "<title>R-SeeNet (.*)</title>" and "User is successfully logged." These checks help verify if the system is using factory-set credentials. The process relies on carefully crafted HTTP POST requests to simulate login attempts. The endpoint, identified in the payload, is "/index.php".

If exploited, the use of default credentials can result in unauthorized access to the R-SeeNet system. Attackers could monitor sensitive data exchanged over the network, compromising privacy. Furthermore, they might alter router settings, leading to network disruption. The intruder could deploy additional malicious tools to further penetrate the network. This breach compromises overall network security, leading to potential operational and financial losses. Consequently, the broader organization becomes vulnerable to cyber threats.

REFERENCES

Solution Advice
  • Change all default passwords immediately post-installation to strong, unique passwords.
  • Regularly audit and update credentials to minimize exposure to unauthorized access.
  • Implement multi-factor authentication (MFA) for administrative access to increase security layers.
  • Develop a process for regular review and tightening of access permissions across all networked devices.
  • Ensure that all network hardware and software are regularly updated with the latest patches and security updates.

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