Detection rules › Splunk
ESXi System Clock Manipulation
This detection identifies a significant change to the system clock on an ESXi host, which may indicate an attempt to manipulate timestamps and evade detection or forensic analysis
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Stealth | T1070.006 Indicator Removal: Timestomp |
Rule body splunk
name: ESXi System Clock Manipulation
id: 910df401-b215-4675-88c5-2ad7b06d82a5
version: 4
creation_date: '2025-07-11'
modification_date: '2026-05-13'
author: Raven Tait, Splunk
status: production
type: TTP
description: This detection identifies a significant change to the system clock on an ESXi host, which may indicate an attempt to manipulate timestamps and evade detection or forensic analysis
data_source:
- VMWare ESXi Syslog
search: '`esxi_syslog` Message="*NTPClock*" AND Message="*system clock stepped*" | rex field=_raw "stepped to (?<epoch_time>\d+\.\d+),.+delta\s(?<delta>\d+)\s" | rex field=_raw "Z (?<dest>[\w\.]+)\s" | eval epoch_time=tonumber(epoch_time) | eval delta=tonumber(delta) | eval event_time=round(_time, 0) | eval direction=if(epoch_time < event_time, "backward", "forward") | eval original_time=if(direction=="backward", epoch_time + delta, epoch_time - delta) | eval stepped_to_str=strftime(epoch_time, "%Y-%m-%d %H:%M:%S") | eval original_time_str=strftime(original_time, "%Y-%m-%d %H:%M:%S") | stats min(_time) as firstTime max(_time) as lastTime count by dest direction original_time_str stepped_to_str epoch_time delta | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `esxi_system_clock_manipulation_filter`'
how_to_implement: This is based on syslog data generated by VMware ESXi hosts. To implement this search, you must configure your ESXi systems to forward syslog output to your Splunk deployment. These logs must be ingested with the appropriate Splunk Technology Add-on for VMware ESXi Logs, which provides field extractions and CIM compatibility.
known_false_positives: Limited false positives in most environments, however tune as needed
drilldown_searches:
- name: View the detection results for - "$dest$"
search: '%original_detection_search% | search dest = "$dest$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$dest$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: Large time change on ESXi host $dest$.
entity:
field: dest
type: system
score: 50
analytic_story:
- ESXi Post Compromise
- Black Basta Ransomware
asset_type: Infrastructure
mitre_attack_id:
- T1070.006
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: application
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1070/esxi_system_clock_manipulation/esxi_system_clock_manipulation.log
source: vmware:esxlog
sourcetype: vmw-syslog
test_type: unit
Stages and Predicates
Stage 1: search
`esxi_syslog` Message="*NTPClock*" AND Message="*system clock stepped*"
Stage 2: rex
| rex field=_raw "stepped to (?<epoch_time>\d+\.\d+),.+delta\s(?<delta>\d+)\s"
Stage 3: rex
| rex field=_raw "Z (?<dest>[\w\.]+)\s"
Stage 4: eval
| eval epoch_time=tonumber(epoch_time)
Stage 5: eval
| eval delta=tonumber(delta)
Stage 6: eval
| eval event_time=round(_time, 0)
Stage 7: eval
| eval direction=if(epoch_time < event_time, "backward", "forward")
direction =if
epoch_time < event_time"backward"else
"forward"Stage 8: eval
| eval original_time=if(direction=="backward", epoch_time + delta, epoch_time - delta)
Stage 9: eval
| eval stepped_to_str=strftime(epoch_time, "%Y-%m-%d %H:%M:%S")
Stage 10: eval
| eval original_time_str=strftime(original_time, "%Y-%m-%d %H:%M:%S")
Stage 11: stats
| stats min(_time) as firstTime max(_time) as lastTime count by dest direction original_time_str stepped_to_str epoch_time delta
Stage 12: search
| `security_content_ctime(firstTime)`
Stage 13: search
| `security_content_ctime(lastTime)`
Stage 14: search
| `esxi_system_clock_manipulation_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
Message | eq |
|
sourcetype | in |
|