Tag
Unusual Linux Process Discovery Activity
1 TTPAn Elastic machine learning rule detects unusual Linux process discovery activity from atypical user contexts, indicating a potentially compromised account performing reconnaissance for privilege escalation or persistence on Linux systems.
Unusual Process Spawned by a User Detected by ML
2 TTPsA machine learning job from Elastic's ProblemChild integration detects suspicious Windows processes, classified as malicious by a supervised ML model and anomalous due to unusual user contexts identified by an unsupervised ML model, indicating potential misuse of LOLbins or masquerading tactics for defense evasion.
Unusual Process Writing Data to an External Device Detected by Machine Learning
22 TTPsElastic's Data Exfiltration Detection integration leverages machine learning to identify rare processes writing data to external devices, indicating potential data exfiltration by adversaries using benign-looking processes.
Suspicious Windows Process Cluster Detected from Parent Process
2 rules 2 TTPsA machine learning job has identified a parent process spawning one or more suspicious Windows processes exhibiting unusually high malicious probability scores, indicating potential defense evasion tactics like masquerading and LOLBins usage.