The Internal Darknet Scan detection identifies attempts by an internal host to scan IP addresses within the organization's network that are not actively used or publicly advertised (often referred to as "darknet" space). This type of activity is typically associated with reconnaissance efforts to discover hidden or unused network segments that could be leveraged for malicious purposes.
Scenario 1: An internal host generates a high volume of scan probes targeting a range of IP addresses within the darknet space. Investigation reveals that the host is compromised, and the attacker is mapping the network to identify potential targets for lateral movement.
Scenario 2: A sudden spike in network traffic is detected, originating from a security team's vulnerability scanner. Verification with the IT department confirms that the activity is part of a scheduled security assessment, and the detected behavior is legitimate.
If this detection indicates a genuine threat, the organization faces significant risks:
Discovery and exploitation of hidden or unused network segments can lead to unauthorized access to sensitive data or systems.
Attackers can use information gathered from darknet scans to move laterally within the network, escalating privileges and accessing critical resources.
High volumes of scan traffic can cause network congestion and impact the performance of legitimate network operations.
Analyze logs to identify the source of the scan probes and the targeted IP addresses. Look for patterns and repeated attempts.
Determine the internal host generating the darknet scan traffic. Verify if the host and user are authorized to perform such actions.
Look for other signs of compromise or suspicious behavior linked to the scanning host, such as malware alerts, unusual login attempts, or data exfiltration activities.
Confirm if any legitimate network mapping, security assessments, or maintenance activities could explain the detected darknet scan behavior.
An Internal Darknet Scan involves probing internal IP addresses within a network that are not actively used or publicly advertised, typically as part of reconnaissance efforts to discover hidden or unused network segments.
Common signs include multiple scan probes to unassigned IP addresses, high volumes of connection attempts to dark network segments, and unusual network traffic patterns.
Yes, network mapping, security assessments, and misconfigured network monitoring tools can generate traffic that resembles darknet scans.
Vectra AI uses advanced AI algorithms and machine learning to analyze network traffic patterns and identify anomalies indicative of darknet scanning activities.
It can lead to exposure of hidden assets, increased risk of lateral movement, and potential operational disruption due to high volumes of scan traffic.
Detect Internal Darknet Scans by monitoring for scan probes to IP addresses within the darknet space, high volumes of connection attempts from single sources, and unusual traffic patterns involving non-active network segments.
They can reveal hidden or unused network assets that may be exploited by attackers, leading to unauthorized access, lateral movement, and potential data breaches.
Investigate the source and scope of the scan activity, check for associated suspicious behaviors, review logs, and consult with IT and security teams to verify if the activity is legitimate.
Tools such as network traffic analysis, firewall logs, and intrusion detection systems can help verify and investigate suspicious internal darknet scan activities.
Implement robust network monitoring and alerting, enforce strict access controls, regularly conduct security assessments, and ensure timely patching and updating of systems to minimize vulnerabilities.