Malware Activity Detected

Status: available
Severity: high
Time window: 5m
Source: github.com/Azure/Azure-Sentinel

Detects when restore points marked as suspicious. This might indicate potential compromise of backup data.

Rule body kusto

id: 9a7c80ef-8dc2-4b07-834d-b9ca18d603f7
name: Malware Activity Detected
description: Detects when restore points marked as suspicious. This might indicate
  potential compromise of backup data.
severity: High
status: Available
requiredDataConnectors:
- connectorId: Syslog
  dataTypes:
  - Syslog
- connectorId: SyslogAma
  dataTypes:
  - Syslog
queryFrequency: 5m
queryPeriod: 5m
triggerOperator: gt
triggerThreshold: 0
eventGroupingSettings:
  aggregationKind: AlertPerResult
tactics: []
relevantTechniques: []
query: |
  Veeam_GetSecurityEvents
  | where instanceId == 41600
  | extend ActivityType = extract("ActivityType=\"([^\"]*)\"", 1, SyslogMessage)
  | extend MachineDisplayName = extract("[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}\\s*\\(([^)]+)\\)", 1, Description)
  | extend MachineUuid = extract("([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})", 1, Description)
  | project
      Date = format_datetime(TimeGenerated, 'dd.MM.yyyy HH:mm'),
      DataSource = original_host,
      EventId = instanceId,
      UserName = user,
      ["Malware Detection Method"] = ActivityType,
      MessageDetails = Description,
      Severity = SeverityDescription,
      MachineDisplayName,
      MachineUuid
version: 1.0.2
kind: Scheduled
customDetails:
  Date: Date
  VbrHostName: DataSource
  EventId: EventId
  MessageDetails: MessageDetails
  Severity: Severity
  MachineDisplayName: MachineDisplayName
  MachineUuid: MachineUuid

Stages and Predicates

Stage 1: `source`

Veeam_GetSecurityEvents

Stage 2: `where`

| where instanceId == 41600

Stage 3: `extend` (3 consecutive steps)

| extend ActivityType = extract("ActivityType=\"([^\"]*)\"", 1, SyslogMessage)
| extend MachineDisplayName = extract("[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}\\s*\\(([^)]+)\\)", 1, Description)
| extend MachineUuid = extract("([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})", 1, Description)

Stage 4: `project`

| project
    Date = format_datetime(TimeGenerated, 'dd.MM.yyyy HH:mm'),
    DataSource = original_host,
    EventId = instanceId,
    UserName = user,
    ["Malware Detection Method"] = ActivityType,
    MessageDetails = Description,
    Severity = SeverityDescription,
    MachineDisplayName,
    MachineUuid

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
`instanceId`	eq	`41600` transforms: `cased`

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
`DataSource`	`project`
`Date`	`project`
`EventId`	`project`
`MachineDisplayName`	`project`
`MachineUuid`	`project`
`Malware Detection Method`	`project`
`MessageDetails`	`project`
`Severity`	`project`
`UserName`	`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)

Malware Activity Detected

Rule body kusto

Stages and Predicates

Stage 1: `source`

Stage 2: `where`

Stage 3: `extend` (3 consecutive steps)

Stage 4: `project`

Indicators

Output fields

Keyboard shortcuts

Search operators

Malware Activity Detected

Rule body kusto

Stages and Predicates

Stage 1: source

Stage 2: where

Stage 3: extend (3 consecutive steps)

Stage 4: project

Indicators

Output fields

Stage 1: `source`

Stage 2: `where`

Stage 3: `extend` (3 consecutive steps)

Stage 4: `project`