GitLab - TI - Connection from Malicious IP

Status: available
Severity: medium
Time window: 1d
Group by: IPAddress, IndicatorId, TI_ipEntity
Source: github.com/Azure/Azure-Sentinel

'This query correlates Threat Intelligence data from Microsoft Sentinel with GitLab NGINX Access Logs (available in GitLab CE as well) to identify access from potentially TI-flagged IPs.'

MITRE ATT&CK coverage

Tactic	Techniques
Initial Access	`T1078` Valid Accounts

Rule body kusto

id: 7241740a-5280-4b74-820a-862312d721a8
name: GitLab - TI - Connection from Malicious IP 
description: |
  'This query correlates Threat Intelligence data from Microsoft Sentinel with GitLab NGINX Access Logs (available in GitLab CE as well) to identify access from potentially TI-flagged IPs.'
severity: Medium
status: Available
requiredDataConnectors:
  - connectorId: ThreatIntelligence
    dataTypes:
      - ThreatIntelligenceIndicator
  - connectorId: ThreatIntelligenceTaxii
    dataTypes:
      - ThreatIntelligenceIndicator
  - connectorId: SyslogAma
    dataTypes: 
      - Syslog
queryFrequency: 1h
queryPeriod: 1d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - InitialAccess
relevantTechniques:
  - T1078
query: |
  ThreatIntelligenceIndicator
  | where Action == true
  // Picking up only IOCs that contain the entities we want
  | where isnotempty(NetworkIP) or isnotempty(EmailSourceIpAddress) or isnotempty(NetworkDestinationIP) or isnotempty(NetworkSourceIP)
  // Taking the first non-empty value based on potential IOC match availability
  | extend TI_ipEntity = iff(isnotempty(NetworkIP), NetworkIP, NetworkDestinationIP)
  | extend TI_ipEntity = iff(isempty(TI_ipEntity) and isnotempty(NetworkSourceIP), NetworkSourceIP, TI_ipEntity)
  | extend TI_ipEntity = iff(isempty(TI_ipEntity) and isnotempty(EmailSourceIpAddress), EmailSourceIpAddress, TI_ipEntity)
  //Exclude local addresses using ipv4_is_private operator
  |where ipv4_is_private(TI_ipEntity) == false and  TI_ipEntity !startswith "fe80" and TI_ipEntity !startswith "::" and TI_ipEntity !startswith "127."
  | join (GitLabAccess) on $left.TI_ipEntity == $right.IPAddress
  | summarize LatestIndicatorTime = arg_max(TimeGenerated, *) by IndicatorId
  | project LatestIndicatorTime, Description, ActivityGroupNames, IndicatorId, ThreatType, Url, ExpirationDateTime, ConfidenceScore, TimeGenerated = EventTime, TI_ipEntity, IPAddress, URI
entityMappings:
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: IPaddr
  - entityType: URL
    fieldMappings:
      - identifier: Url
        columnName: Url
version: 1.0.3
kind: Scheduled

Stages and Predicates

Stage 1: `source`

ThreatIntelligenceIndicator

Stage 2: `where`

| where Action == true

Stage 3: `where`

| where isnotempty(NetworkIP) or isnotempty(EmailSourceIpAddress) or isnotempty(NetworkDestinationIP) or isnotempty(NetworkSourceIP)

Stage 4: `extend` (3 consecutive steps)

| extend TI_ipEntity = iff(isnotempty(NetworkIP), NetworkIP, NetworkDestinationIP)
| extend TI_ipEntity = iff(isempty(TI_ipEntity) and isnotempty(NetworkSourceIP), NetworkSourceIP, TI_ipEntity)
| extend TI_ipEntity = iff(isempty(TI_ipEntity) and isnotempty(EmailSourceIpAddress), EmailSourceIpAddress, TI_ipEntity)

TI_ipEntity =

ifisnotempty(NetworkIP)NetworkIP

elseNetworkDestinationIP

Stage 5: `where`

| where ipv4_is_private(TI_ipEntity) == false and  TI_ipEntity !startswith "fe80" and TI_ipEntity !startswith "::" and TI_ipEntity !startswith "127."

Stage 6: `join`

| join (GitLabAccess) on $left.TI_ipEntity == $right.IPAddress

Stage 7: `summarize`

| summarize LatestIndicatorTime = arg_max(TimeGenerated, *) by IndicatorId

Stage 8: `project`

| project LatestIndicatorTime, Description, ActivityGroupNames, IndicatorId, ThreatType, Url, ExpirationDateTime, ConfidenceScore, TimeGenerated = EventTime, TI_ipEntity, IPAddress, URI

Exclusions

Top-level NOT(...) conjuncts: predicates this rule actively suppresses.

Field	Kind	Excluded values
`TI_ipEntity`	cidr_match	`10.0.0.0/8`, `172.16.0.0/12`, `192.168.0.0/16`, `169.254.0.0/16`, `127.0.0.0/8`
`TI_ipEntity`	starts_with	`127.`
`TI_ipEntity`	starts_with	`::`
`TI_ipEntity`	starts_with	`fe80`

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
`Action`	eq	`true` transforms: `cased`
`EmailSourceIpAddress`	is_not_null	(no value, null check)
`NetworkDestinationIP`	is_not_null	(no value, null check)
`NetworkIP`	is_not_null	(no value, null check)
`NetworkSourceIP`	is_not_null	(no value, null check)

Output fields

Fields the rule emits when it matches. Chronicle authors list these in the outcome block; they appear on the detection and $risk_score drives alerting. Sentinel / Defender XDR rules build them up through project / summarize / extend stages. Sentinel maps these into alert fields via entityMappings and customDetails; Defender XDR custom detections surface them as alert fields directly.

Field	Source
`ActivityGroupNames`	`project`
`ConfidenceScore`	`project`
`Description`	`project`
`ExpirationDateTime`	`project`
`IPAddress`	`project`
`IndicatorId`	`project`
`LatestIndicatorTime`	`project`
`TI_ipEntity`	`project`
`ThreatType`	`project`
`TimeGenerated`	`project`
`URI`	`project`
`Url`	`project`

`j` / `k`	Scroll down / up
`d` / `u`	Half-page down / up
`gg` / `G`	Top / bottom
`h` / `l`	History back / forward
`f`	Follow link (`Shift` = new tab)
`/`	Focus search
`?`	Toggle this help
`↑` / `↓`	Navigate search results
`Enter`	Open highlighted result
`Esc`	Close results / dialog

`type:`	`events` / `rules` / `providers`
`vendor:`	`sigma` / `elastic` / `splunk` / `kusto` / `chronicle` (vendor name alone also works: `sigma:`, `kql:`, `secops:`…)
`tactic:`	TA-id, slug, or name: `credential_access`, `TA0006`
`technique:`	technique or sub-technique ID: `T1003`, `T1003.001` (alias `tech:`)
`severity:`	`critical` / `high` / `medium` / `low` / `informational` (alias `sev:`)
`risk_score`	Numeric comparison on the Elastic risk score (0 to 100): `risk_score>50`, `risk_score<=20`, `risk_score=99` (alias `risk`; Elastic rules only)
`stages:`	Rules with exactly N pipeline stages
`correlation:`	`single_event` / `sequence` / `alternatives` / `alternatives_cross_log` / `all_required` / `correlated`
`with:`	Co-occurrence event-id; stacks (`with:4624 with:4769`) to require all, while a comma list in one occurrence (`with:4624,4769`) is an either-or group. Implies multi-event
`like:`	Structural neighbors of a rule slug (equivalents + subsumption stricter / broader): `like:comsvcs_lsass_memory_dump-splunk-sysmon`
`groupby:`	Entity-grouping substring match against `group_by_keys`: `groupby:user`, `groupby:host`
`uses:`	Rules whose predicate tree touches the field (any kind, any value): `uses:CommandLine`
`excludes:`	Rules with top-level `not()` clauses on the field (FP whitelists): `excludes:ParentImage`
`field:` / `value:`	Predicate search; narrows rule cards to those with a matching leaf and drives the indicator tier. Unquoted = substring, wildcards allowed (`value:mimikatz`)
`indicator:`	Shorthand for `field:F value:V`: `indicator:Image=*\powershell.exe`
`kind:`	Filter by predicate kind. Narrows rule cards to those carrying a matching predicate leaf (`vendor:elastic kind:cidr_match`) and drives the indicator tier: `contains` / `starts_with` / `ends_with` / `regex` / `cidr` / `eq` / `in` … (operator aliases `op:`/`match:`)
`has:` / `no:`	`sample`, `field`, `notes`, `refs`, `trace`, `thirdparty`, `rule`, `pattern`, `timewindow`, `threshold`, `newterms`, `sigma`/`elastic`/`splunk`/`kusto`/`chronicle`
`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
`field:"…"` / `value:"…"`	Quoted value = anchored exact match (also allows spaces): `value:"net user"`
`a,b`	Comma = OR inside one operator (`vendor:sigma,elastic`, `severity:high,critical`); repeating a facet merges the same way. `field:`/`value:` never split (literal commas)
`vendors:` / `stage:`	Singular and plural spellings fold to the canonical operator and value: `tactics:` = `tactic:`, `type:event` = `type:events`, `correlation:sequences` = `correlation:sequence`, `has:thresholds` = `has:threshold`
`"quoted phrase"`	Exact-match a multi-word phrase (free text)

GitLab - TI - Connection from Malicious IP

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `extend` (3 consecutive steps)

Stage 5: `where`

Stage 6: `join`

Stage 7: `summarize`

Stage 8: `project`

Exclusions

Indicators

Output fields

Keyboard shortcuts

Search operators

GitLab - TI - Connection from Malicious IP

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Stage 1: source

Stage 2: where

Stage 3: where

Stage 4: extend (3 consecutive steps)

Stage 5: where

Stage 6: join

Stage 7: summarize

Stage 8: project

Exclusions

Indicators

Output fields

Stage 1: `source`

Stage 2: `where`

Stage 3: `where`

Stage 4: `extend` (3 consecutive steps)

Stage 5: `where`

Stage 6: `join`

Stage 7: `summarize`

Stage 8: `project`