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What indicators in log correlation suggest lateral movement?

Asked on Oct 20, 2025

Answer

Lateral movement is a critical phase in a cyber attack where an adversary moves through a network to access sensitive data or systems. Detecting lateral movement through log correlation involves identifying specific patterns and anomalies that indicate unauthorized access and traversal across systems.

Example Concept: Indicators of lateral movement in log correlation include unusual account activity such as logins from different locations within a short time frame, repeated failed login attempts followed by a successful login, access to multiple systems by a single account in a short period, and execution of remote commands or tools like PsExec or RDP. These patterns suggest an attacker is moving laterally to escalate privileges or access critical assets.

Additional Comment:

Monitor for unusual patterns in user behavior analytics (UBA) to detect anomalies.
Implement network segmentation to limit lateral movement opportunities.
Use SIEM tools to automate log correlation and alert on suspicious activities.
Regularly update and patch systems to reduce vulnerabilities exploited during lateral movement.

✅ Answered with Cybersecurity best practices.

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What indicators in log correlation suggest lateral movement?

Asked on Oct 20, 2025

Answer

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