New UserAgent observed in last 24 hours

Status: available
Severity: low
Time window: 14d
Group by: Account, EventName, EventSource, NormalizedUserAgent, Operation, RecordType, SourceIP, Type, UserAgent, csMethod, csUriStem, sSiteName
Source: github.com/Azure/Azure-Sentinel

'Identifies new UserAgents observed in the last 24 hours versus the previous 14 days. This detection extracts words from user agents to build the baseline and determine rareity rather than perform a direct comparison. This avoids FPs caused by version numbers and other high entropy user agent components. These new UserAgents could be benign. However, in normally stable environments, these new UserAgents could provide a starting point for investigating malicious activity. Note: W3CIISLog can be noisy depending on the environment, however OfficeActivity and AWSCloudTrail are usually stable with low numbers of detections.'

MITRE ATT&CK coverage

Tactic	Techniques
Initial Access	`T1189` Drive-by Compromise
Execution	`T1203` Exploitation for Client Execution
Command & Control	`T1071` Application Layer Protocol

Rule body kusto

id: b725d62c-eb77-42ff-96f6-bdc6745fc6e0
name: New UserAgent observed in last 24 hours
description: |
  'Identifies new UserAgents observed in the last 24 hours versus the previous 14 days. This detection extracts words from user agents to build the baseline and determine rareity rather than perform a direct comparison. This avoids FPs caused by version numbers and other high entropy user agent components.
  These new UserAgents could be benign. However, in normally stable environments, these new UserAgents could provide a starting point for investigating malicious activity.
  Note: W3CIISLog can be noisy depending on the environment, however OfficeActivity and AWSCloudTrail are usually stable with low numbers of detections.'
severity: Low
status: Available
requiredDataConnectors:
  - connectorId: AWS
    dataTypes:
      - AWSCloudTrail
  - connectorId: Office365
    dataTypes:
      - OfficeActivity
  - connectorId: AzureMonitor(IIS)
    dataTypes:
      - W3CIISLog
queryFrequency: 1d
queryPeriod: 14d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - InitialAccess
  - CommandAndControl
  - Execution
relevantTechniques:
  - T1189
  - T1071
  - T1203
query: |
  let starttime = 14d;
  let endtime = 1d;
  let UserAgentAll =
  (union isfuzzy=true
  (OfficeActivity
  | where TimeGenerated >= ago(starttime)
  | where isnotempty(UserAgent)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = ClientIP, Account = UserId, Type, RecordType, Operation
  ),
  (
  W3CIISLog
  | where TimeGenerated >= ago(starttime)
  | where isnotempty(csUserAgent)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent = csUserAgent, SourceIP = cIP, Account = csUserName, Type, sSiteName, csMethod, csUriStem
  ),
  (
  AWSCloudTrail
  | where TimeGenerated >= ago(starttime)
  | where isnotempty(UserAgent)
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = SourceIpAddress, Account = UserIdentityUserName, Type, EventSource, EventName
  ))
  // remove wordSize blocks of non-numeric hex characters prior to word extraction
  | extend UserAgentNoHexAlphas = replace("([A-Fa-f]{4,})", "x", UserAgent)
  // once blocks of hex chars are removed, extract wordSize blocks of a-z
  | extend Tokens = extract_all("([A-Za-z]{4,})", UserAgentNoHexAlphas)
  // concatenate extracted words to create a summarized user agent for baseline and comparison
  | extend NormalizedUserAgent = strcat_array(Tokens, "|")
  | project-away UserAgentNoHexAlphas, Tokens;
  UserAgentAll
  | where StartTime >= ago(endtime)
  | summarize StartTime = min(StartTime), EndTime = max(EndTime), count() by UserAgent, NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
  | join kind=leftanti
  (
  UserAgentAll
  | where StartTime < ago(endtime)
  | summarize by NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
  )
  on NormalizedUserAgent
  | extend timestamp = StartTime
  | extend Name = tostring(split(Account, '@', 0)[0]), UPNSuffix = tostring(split(Account, '@', 1)[0])
entityMappings:
  - entityType: Account
    fieldMappings:
      - identifier: Name
        columnName: Name
      - identifier: UPNSuffix
        columnName: UPNSuffix
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: SourceIP
version: 1.0.5
kind: Scheduled

Stages and Predicates

Parameters

let starttime = 14d;
let endtime = 1d;

union `isfuzzy=true` (3 sources)

Each leg below queries one source; the rule matches if any leg does. Sources: OfficeActivity, W3CIISLog, AWSCloudTrail

Leg 1: `OfficeActivity`

OfficeActivity
| where TimeGenerated >= ago(starttime)
| where isnotempty(UserAgent)
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = ClientIP, Account = UserId, Type, RecordType, Operation

Leg 2: `W3CIISLog`

W3CIISLog
| where TimeGenerated >= ago(starttime)
| where isnotempty(csUserAgent)
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent = csUserAgent, SourceIP = cIP, Account = csUserName, Type, sSiteName, csMethod, csUriStem

Leg 3: `AWSCloudTrail`

AWSCloudTrail
| where TimeGenerated >= ago(starttime)
| where isnotempty(UserAgent)
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by UserAgent, SourceIP = SourceIpAddress, Account = UserIdentityUserName, Type, EventSource, EventName

Applied to the combined result

| extend UserAgentNoHexAlphas = replace("([A-Fa-f]{4,})", "x", UserAgent)
| extend Tokens = extract_all("([A-Za-z]{4,})", UserAgentNoHexAlphas)
| extend NormalizedUserAgent = strcat_array(Tokens, "|")
| project-away UserAgentNoHexAlphas, Tokens | where StartTime >= ago(endtime) | summarize StartTime = min(StartTime), EndTime = max(EndTime), count() by UserAgent, NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem | join kind=leftanti
(
UserAgentAll
| where StartTime < ago(endtime)
| summarize by NormalizedUserAgent, SourceIP, Account, Type, RecordType, Operation, EventSource, EventName, sSiteName, csMethod, csUriStem
)
on NormalizedUserAgent | extend timestamp = StartTime | extend Name = tostring(split(Account, '@', 0)[0]), UPNSuffix = tostring(split(Account, '@', 1)[0])

Exclusions

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

Field	Kind	Excluded values
`UserAgent`	is_not_null	(no value, null check)
`csUserAgent`	is_not_null	(no value, null check)

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
`UserAgent`	is_not_null	(no value, null check)
`csUserAgent`	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
`Account`	`summarize`
`EndTime`	`summarize`
`EventName`	`summarize`
`EventSource`	`summarize`
`NormalizedUserAgent`	`summarize`
`Operation`	`summarize`
`RecordType`	`summarize`
`SourceIP`	`summarize`
`StartTime`	`summarize`
`Type`	`summarize`
`UserAgent`	`summarize`
`csMethod`	`summarize`
`csUriStem`	`summarize`
`sSiteName`	`summarize`
`timestamp`	`extend`
`Name`	`extend`
`UPNSuffix`	`extend`

`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)

New UserAgent observed in last 24 hours

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

union `isfuzzy=true` (3 sources)

Leg 1: `OfficeActivity`

Leg 2: `W3CIISLog`

Leg 3: `AWSCloudTrail`

Applied to the combined result

Exclusions

Indicators

Output fields

Keyboard shortcuts

Search operators

New UserAgent observed in last 24 hours

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Parameters

union isfuzzy=true (3 sources)

Leg 1: OfficeActivity

Leg 2: W3CIISLog

Leg 3: AWSCloudTrail

Applied to the combined result

Exclusions

Indicators

Output fields

union `isfuzzy=true` (3 sources)

Leg 1: `OfficeActivity`

Leg 2: `W3CIISLog`

Leg 3: `AWSCloudTrail`