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Hunting with Elastic Security: Detecting credential dumping with ES|QL

Blog post from Elastic

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Summary

In the digital realm, adversaries use the OS Credential Dumping technique (T1003) from the MITRE ATT&CK framework to extract sensitive credentials, posing a significant threat to network security. This method enables attackers to impersonate users, escalate privileges, and move laterally within a network, making the detection and prevention of such activities crucial to maintaining system integrity and confidentiality. The text emphasizes the need for a proactive threat hunting approach using Elastic Security tools and ES|QL queries to monitor various indicators of credential dumping, such as suspicious process activities, file access patterns, and unauthorized registry changes. By leveraging a combination of logs, monitoring tools, and data sources, security teams can enhance their detection capabilities, ensuring the protection of critical credentials and fortifying defenses against potential intrusions. The document underscores the ongoing nature of this threat and encourages continued vigilance and refinement of threat-hunting strategies to stay ahead of adversaries.