IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Spike in Remote File Transfers
editSpike in Remote File Transfers
editA machine learning job has detected an abnormal volume of remote files shared on the host indicating potential lateral movement activity. One of the primary goals of attackers after gaining access to a network is to locate and exfiltrate valuable information. Attackers might perform multiple small transfers to match normal egress activity in the network, to evade detection.
Rule type: machine_learning
Rule indices: None
Severity: low
Risk score: 21
Runs every: 15m
Searches indices from: now-90m (Date Math format, see also Additional look-back time
)
Maximum alerts per execution: 100
References:
Tags:
- Use Case: Lateral Movement Detection
- Rule Type: ML
- Rule Type: Machine Learning
- Tactic: Lateral Movement
Version: 1
Rule authors:
- Elastic
Rule license: Elastic License v2
Investigation guide
editFramework: MITRE ATT&CKTM
-
Tactic:
- Name: Lateral Movement
- ID: TA0008
- Reference URL: https://attack.mitre.org/tactics/TA0008/
-
Technique:
- Name: Exploitation of Remote Services
- ID: T1210
- Reference URL: https://attack.mitre.org/techniques/T1210/