Detection: Linux High Frequency Of File Deletion In Boot Folder

Description

The following analytic detects a high frequency of file deletions in the /boot/ folder on Linux systems. It leverages filesystem event logs to identify when 200 or more files are deleted within an hour by the same process. This behavior is significant as it may indicate the presence of wiper malware, such as Industroyer2, which targets critical system directories. If confirmed malicious, this activity could lead to system instability or failure, hindering the boot process and potentially causing a complete system compromise.

1
2| tstats `security_content_summariesonly` values(Filesystem.file_name) as deletedFileNames values(Filesystem.file_path) as deletedFilePath dc(Filesystem.file_path) as numOfDelFilePath count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Endpoint.Filesystem where Filesystem.action=deleted Filesystem.file_path = "/boot/*" by _time span=1h  Filesystem.dest Filesystem.process_guid Filesystem.action 
3| `drop_dm_object_name(Filesystem)` 
4| where  numOfDelFilePath >= 200 
5| `security_content_ctime(firstTime)` 
6| `security_content_ctime(lastTime)` 
7| `linux_high_frequency_of_file_deletion_in_boot_folder_filter`

Data Source

Name Platform Sourcetype Source Supported App
Sysmon for Linux EventID 11 Linux icon Linux 'sysmon:linux' 'Syslog:Linux-Sysmon/Operational' N/A

Macros Used

Name Value
security_content_ctime convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$)
linux_high_frequency_of_file_deletion_in_boot_folder_filter search *
linux_high_frequency_of_file_deletion_in_boot_folder_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1485 Data Destruction Impact
T1070.004 File Deletion Defense Evasion
T1070 Indicator Removal Defense Evasion
KillChainPhase.ACTIONS_ON_OBJECTIVES
KillChainPhase.EXPLOITAITON
NistCategory.DE_CM
Cis18Value.CIS_10
APT38
Gamaredon Group
LAPSUS$
Lazarus Group
Sandworm Team
APT18
APT28
APT29
APT3
APT32
APT38
APT39
APT41
APT5
Aquatic Panda
BRONZE BUTLER
Chimera
Cobalt Group
Dragonfly
Evilnum
FIN10
FIN5
FIN6
FIN8
Gamaredon Group
Group5
Kimsuky
Lazarus Group
Magic Hound
Metador
Mustang Panda
OilRig
Patchwork
Rocke
Sandworm Team
Silence
TeamTNT
The White Company
Threat Group-3390
Tropic Trooper
Volt Typhoon
Wizard Spider
menuPass
APT5
Lazarus Group

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Notable Yes
Rule Title %name%
Rule Description %description%
Notable Event Fields user, dest
Creates Risk Event True
This configuration file applies to all detections of type TTP. These detections will use Risk Based Alerting and generate Notable Events.

Implementation

To successfully implement this search, you need to be ingesting logs with the process name, parent process, and command-line executions from your endpoints. If you are using Sysmon, you can use the Add-on for Linux Sysmon from Splunkbase.

Known False Positives

linux package installer/uninstaller may cause this event. Please update you filter macro to remove false positives.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
Multiple files detection in /boot/ folder on $dest$ by process GUID - $process_guid$ 80 100 80
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Passing N/A N/A N/A
Unit Passing Dataset Syslog:Linux-Sysmon/Operational sysmon:linux
Integration ✅ Passing Dataset Syslog:Linux-Sysmon/Operational sysmon:linux

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range


Source: GitHub | Version: 3