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 Bytes Sent to an External Device via Airdropedit
A machine learning job has detected high bytes of data written to an external device via Airdrop. In a typical operational setting, there is usually a predictable pattern or a certain range of data that is written to external devices. An unusually large amount of data being written is anomalous and can signal illicit data copying or transfer activities.
Rule type: machine_learning
Rule indices: None
Severity: low
Risk score: 21
Runs every: 15m
Searches indices from: now-2h (Date Math format, see also Additional look-back time)
Maximum alerts per execution: 100
References:
Tags:
- Use Case: Data Exfiltration Detection
- Rule Type: ML
- Rule Type: Machine Learning
- Tactic: Exfiltration
Version: 2
Rule authors:
- Elastic
Rule license: Elastic License v2
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Exfiltration
- ID: TA0010
- Reference URL: https://attack.mitre.org/tactics/TA0010/
-
Technique:
- Name: Exfiltration Over Other Network Medium
- ID: T1011
- Reference URL: https://attack.mitre.org/techniques/T1011/