1C Enterprise Detection Scanner
This scanner detects the use of 1C Enterprise in digital assets. It helps to identify the presence of this software by analyzing responses from web servers.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
1 month 3 days
Scan only one
URL
Toolbox
-
1C Enterprise is a software suite widely used in business applications for enterprise resource planning, accounting, and management tasks. It is primarily popular in Eastern Europe and used by various organizations, including corporations, governments, and educational institutions. The software facilitates comprehensive data handling and process automation, making it a vital tool for large-scale organizational management. With modules handling everything from human resources to supply chain management, 1C Enterprise offers flexibility and adaptations to meet specific industry needs. Its adaptability for localized business processes makes it a preferred choice in regions where such tailored solutions are critical. Companies implementing 1C Enterprise usually experience enhanced efficiency in their operational management.
The detection scanner for 1C Enterprise is designed to identify the presence of 1C Enterprise installations on web servers. It accomplishes this by looking for specific signatures in the HTTP headers of web pages served by the software. By identifying these indicators, system administrators can catalog or assess systems running the software. This can be particularly useful for audits, ensuring compliance with software use policies. Detection helps in recognizing outdated or unmonitored instances that may require updates or security patches. It plays an essential role in maintaining the overall security posture of networked environments where the software is used.
The scanner starts by sending GET requests to standard paths such as the web root or portal path. It checks for HTTP responses with a status code of 200 and looks at the headers to identify a text/html content type. It further leverages a regular expression pattern designed to pinpoint the software's unique identifier in the headers. Specifically, it searches for vendor-specific prefixes characteristic of 1C Enterprise within the server’s responses. The regex also targets the version information, extracting version numbers if present, which can help in maintaining current software inventories or assessing versions in need of support or upgrades.
Exploiting a detection vulnerability typically involves using the information collected to map software deployments in an organization's IT infrastructure. If misused, this information could guide attackers in finding specific software instances to target for further exploitation. Particularly, knowing the exact software version helps in identifying unpatched vulnerabilities where attackers can launch more sophisticated attacks. This could lead to unauthorized access, information theft, or disruptions to business operations, especially if vulnerable instances are left unmanaged.