Detection rules › Kusto
CloudNGFW By Palo Alto Networks - Threat signatures from Unusual IP addresses
'Identifies Palo Alto Threat signatures from unusual IP addresses which are not historically seen. This detection is also leveraged and required for MDE and PAN Fusion scenario https://docs.microsoft.com/Azure/sentinel/fusion-scenario-reference#network-request-to-tor-anonymization-service-followed-by-anomalous-traffic-flagged-by-palo-alto-networks-firewall'
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Discovery | |
| Command & Control | |
| Exfiltration |
Rule body
id: 89a86f70-615f-4a79-9621-6f68c50f365f
name: CloudNGFW By Palo Alto Networks - Threat signatures from Unusual IP addresses
description: |
'Identifies Palo Alto Threat signatures from unusual IP addresses which are not historically seen.
This detection is also leveraged and required for MDE and PAN Fusion scenario
https://docs.microsoft.com/Azure/sentinel/fusion-scenario-reference#network-request-to-tor-anonymization-service-followed-by-anomalous-traffic-flagged-by-palo-alto-networks-firewall'
severity: Medium
status: Available
requiredDataConnectors:
- connectorId: AzureCloudNGFWByPaloAltoNetworks
dataTypes:
- fluentbit_CL
queryFrequency: 1h
queryPeriod: 7d
triggerOperator: gt
triggerThreshold: 0
tactics:
- Discovery
- Exfiltration
- CommandAndControl
relevantTechniques:
- T1046
- T1030
- T1071.001
tags:
- Fusion
query: |
let starttime = 7d;
let endtime = 1d;
let timeframe = 1h;
let HistThreshold = 25;
let CurrThreshold = 10;
let HistoricalThreats = fluentbit_CL
| where ident_s == "THREAT"
| extend message = parse_json(Message)
| where isnotempty(message.src_ip)
| where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))
| where message.sub_type in ('spyware', 'scan', 'file', 'vulnerability', 'flood', 'packet', 'virus','wildfire', 'wildfire-virus')
| extend src_ip = tostring(message.src_ip)
| summarize TotalEvents = count(), ThreatTypes = make_set(message.sub_type), DestinationIpList = make_set(message.dst), FirstSeen = min(TimeGenerated) , LastSeen = max(TimeGenerated) by src_ip, tostring(message.action), FirewallName_s;
let CurrentHourThreats = fluentbit_CL
| where ident_s == "THREAT"
| extend message = parse_json(Message)
| where isnotempty(message.src_ip)
| where TimeGenerated > ago(timeframe)
| where message.sub_type in ('spyware', 'scan', 'file', 'vulnerability', 'flood', 'packet', 'virus','wildfire', 'wildfire-virus')
| extend src_ip = tostring(message.src_ip)
| summarize TotalEvents = count(), ThreatTypes = make_set(message.sub_type), DestinationIpList = make_set(message.dst), FirstSeen = min(TimeGenerated) , LastSeen = max(TimeGenerated) by src_ip, tostring(message.action), FirewallName_s;
CurrentHourThreats
| where TotalEvents < CurrThreshold
| join kind = leftanti (HistoricalThreats
| where TotalEvents > HistThreshold) on src_ip
entityMappings:
- entityType: IP
fieldMappings:
- identifier: Address
columnName: src_ip
version: 1.0.2
kind: Scheduled
Stages and Predicates
Parameters
let starttime = 7d;
let endtime = 1d;
let timeframe = 1h;
let HistThreshold = 25;
let CurrThreshold = 10;
let CurrentHourThreats is inlined into the numbered stages below.
Let binding: HistoricalThreats
let HistoricalThreats = fluentbit_CL
| where ident_s == "THREAT"
| extend message = parse_json(Message)
| where isnotempty(message.src_ip)
| where TimeGenerated between (startofday(ago(starttime))..startofday(ago(endtime)))
| where message.sub_type in ('spyware', 'scan', 'file', 'vulnerability', 'flood', 'packet', 'virus','wildfire', 'wildfire-virus')
| extend src_ip = tostring(message.src_ip)
| summarize TotalEvents = count(), ThreatTypes = make_set(message.sub_type), DestinationIpList = make_set(message.dst), FirstSeen = min(TimeGenerated) , LastSeen = max(TimeGenerated) by src_ip, tostring(message.action), FirewallName_s;
Stages 1 to 8 define let CurrentHourThreats (the rule's main pipeline source); stages 9 to 10 run on it.
Stage 1: source
fluentbit_CL
Stage 2: where
| where ident_s == "THREAT"
Stage 3: extend
| extend message = parse_json(Message)
Stage 4: where
| where isnotempty(message.src_ip)
Stage 5: where
| where TimeGenerated > ago(timeframe)
Stage 6: where
| where message.sub_type in ('spyware', 'scan', 'file', 'vulnerability', 'flood', 'packet', 'virus','wildfire', 'wildfire-virus')
Stage 7: extend
| extend src_ip = tostring(message.src_ip)
Stage 8: summarize
| summarize TotalEvents = count(), ThreatTypes = make_set(message.sub_type), DestinationIpList = make_set(message.dst), FirstSeen = min(TimeGenerated) , LastSeen = max(TimeGenerated) by src_ip, tostring(message.action), FirewallName_s
Stage 9: where
CurrentHourThreats
| where TotalEvents < CurrThreshold
Stage 10: join (negated)
| join kind = leftanti (HistoricalThreats
| where TotalEvents > HistThreshold) on src_ip
Exclusions
The rule actively suppresses these predicates.
| Field | Kind | Excluded values | Search |
|---|---|---|---|
TotalEvents | gt | 25 | excludes:TotalEvents field:"TotalEvents" value:"25" |
ident_s | eq | THREAT | excludes:ident_s field:"ident_s" value:"THREAT" |
src_ip | is_not_null | excludes:src_ip | |
sub_type | in | file, flood, packet, scan, spyware, virus, vulnerability, wildfire, wildfire-virus | excludes:sub_type |
Indicators
These rows show field, operator, and value matches.
| Field | Kind | Values | Search |
|---|---|---|---|
TotalEvents | lt |
| field:"TotalEvents" kind:lt value:"10" |
ident_s | eq |
| field:"ident_s" kind:eq value:"THREAT" |
src_ip | is_not_null | field:"src_ip" kind:is_not_null | |
sub_type | in |
| field:"sub_type" kind:in |
Output fields
These fields are emitted when the rule matches.
| Field | Source |
|---|---|
DestinationIpList | summarize |
FirewallName_s | summarize |
FirstSeen | summarize |
LastSeen | summarize |
ThreatTypes | summarize |
TotalEvents | summarize |
src_ip | summarize |