S4E

BigAnt Default Login Scanner

This scanner detects the use of BigAnt default login in digital assets.

Short Info


Level

Critical

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

1 week 12 hours

Scan only one

Domain, IPv4

Toolbox

-

BigAnt is a collaborative instant messaging software used by enterprises for secure communication and file transfer. Its features include messaging, file sharing, and task management, providing an efficient communication solution for businesses. Typically employed in corporate environments, BigAnt is used by IT departments to improve productivity and enhance team collaboration. The software is designed for Windows, macOS, and mobile platforms, catering to the needs of diverse workspaces. BigAnt supports various industries like manufacturing, education, and healthcare to facilitate streamlined communication. The software is known for its user-friendly interface, allowing easy integration into existing business systems.

The scanner detects the presence of default login credentials within the BigAnt system. Default credentials are a significant security flaw, allowing unauthorized users potential access to the system. This issue stems from misconfigurations where predefined login credentials are not changed after deployment. The detection process involves identifying the use of the superadmin account with its standard password, which could lead to security breaches. The vulnerability is considered critical, posing risks if not remediated immediately. The scanner focuses on assessing whether the system retains default login settings, assisting in mitigating unauthorized access.

The technical details involve sending HTTP requests to specific BigAnt login endpoints, verifying whether login attempts using default credentials are successful. The vulnerable endpoint is identified as '/index.php/Home/login/index.html', followed by a POST request for authentication. The scanner checks the HTTP response for a '200' status code and specific success phrases like "Login Successfully! Loading..." which indicate default credential access. Extractors use regex to ascertain dynamic data such as 'hash' which may be required for successful requests. These findings help administrators promptly address potential security gaps.

If exploited, this vulnerability allows attackers full administrative access to the BigAnt system, compromising sensitive information. Unauthorized access could result in data breaches, affecting confidentiality and integrity. Malicious users could manipulate files, send unauthorized messages, or disable critical communication features. Adversaries may also install malware, leading to broader network infiltration. Moreover, the affected organization could face severe legal and financial consequences. By mitigating this vulnerability, systems can better safeguard against unauthorized entity control.

REFERENCES

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