Cacti Information Disclosure Scanner
Detects 'Information Disclosure' vulnerability in Cacti.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
24 days 13 hours
Scan only one
Domain, Subdomain, IPv4
Toolbox
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Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. It is generally used by network engineers and system administrators for monitoring and graphing the performance of their networks. Cacti provides time-based storage of operational data collected from networks and servers, enabling robust and efficient visualization of network usage patterns. It supports SNMP for data collection from network devices and sources live data feeds for status updates. Organizations rely on Cacti to manage complex network infrastructures and proactively address operational issues.
Information disclosure vulnerabilities occur when web applications unintentionally reveal sensitive information. In the context of Cacti, such vulnerabilities could expose system logs, sensitive configuration details, or other critical operational data. Attackers may exploit such disclosures to gather intelligence about network structures, configurations, and vulnerabilities. This information can be a foothold for further penetration attacks, allowing attackers to refine their tactics for more invasive intrusions. Proper handling and protection of this information are crucial to maintaining network security.
The vulnerability relates to the exposure of the Cacti log file, cacti.log, which can contain sensitive system information. The vulnerability is present because the web server is improperly serving the cacti.log file, typically found at
When exploited, this vulnerability may lead to extensive data leaks that could be detrimental to organizational privacy and security. It could facilitate unauthorized access to other network components and exploitation of further vulnerabilities. The exposed data might include network credentials, user information, or infrastructure layouts, which could be used maliciously. Attackers could pivot from disclosed data to launch more sophisticated attacks, such as privilege escalation or data exfiltration.
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