Maltrail Panel Detection Scanner

This scanner detects the use of Maltrail in digital assets. It identifies instances to ensure systems are monitored for malicious traffic detection panels.

Short Info


Level

Medium

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

18 days 14 hours

Scan only one

URL

Toolbox

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Maltrail is a malicious traffic detection system widely adopted by cybersecurity teams to monitor and identify threats. It is utilized in various IT infrastructures to detect domain names, URLs, IP addresses, and HTTP User-Agent headers associated with security risks. Organizations deploy Maltrail to bolster security measures, making their networks resistant to malevolent activities. The system leverages public blacklists and AV report data to identify malicious trails, helping security professionals to act swiftly. Its integration saves significant time and resources in identifying potential security breaches. With an intuitive dashboard, users can efficiently manage and monitor threat activity.

The panel detection in Maltrail refers to identifying active instances of the Maltrail panel interface. This vulnerability report focuses on uncovering unauthorized panels operating on endpoints. Detection is crucial to prevent exposure to cyber threats and ensure only authorized personnel access the monitoring tools. Maltrail panel detection helps identify if data or monitoring records are at risk of being compromised. The detection process checks for specific identifiers within the system's interface. It plays an integral role in maintaining network security integrity.

Maltrail panel detection operates by scanning names, URLs, and keywords within the system. Specifically, it searches for unique patterns associated with the Maltrail interface in web pages. By analyzing HTTP responses and page content, the detection process determines the presence of the Maltrail panel. Vulnerabilities are marked upon the discovery of specific phrases or versions indicating an active panel. Matches can appear in web page titles, header scripts, or HTML content. This approach ensures the detection method is comprehensive and reliable.

If a Maltrail panel vulnerability is exploited, it could lead to unauthorized access to sensitive monitors and data. Attackers could manipulate the panel to mask malicious activities or disrupt monitoring. Compromise of error reporting and system alerts may occur if the panel is not adequately secured. Sensitive system configurations and access logs could be exposed, posing a threat to overall network integrity. Exploitation could also lead to unauthorized deployment of malicious trails, intentionally misleading detection methods. Unauthorized access might result in surveillance and profiling without consent.

REFERENCES

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