Detection rules › Kusto
GSA - Detect Abnormal Deny Rate for Source to Destination IP
Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access, or C2, where an attacker tries to exploit the same vulnerability on machines in the organization but is being blocked by firewall rules. Configurable Parameters: - minimumOfStdsThreshold: The number of stds to use in the threshold calculation. Default is set to 3. - learningPeriodTime: Learning period for threshold calculation in days. Default is set to 5. - binTime: Learning buckets time in hours. Default is set to 1 hour. - minimumThreshold: Minimum threshold for alert. Default is set to 5. - minimumBucketThreshold: Minimum learning buckets threshold for alert. Default is set to 5.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Command & Control |
Rule body
id: e3b6a9e7-4c3a-45e6-8baf-1d3bfa8e0c2b
name: GSA - Detect Abnormal Deny Rate for Source to Destination IP
description: |
Identifies abnormal deny rate for specific source IP to destination IP based on the normal average and standard deviation learned during a configured period. This can indicate potential exfiltration, initial access, or C2, where an attacker tries to exploit the same vulnerability on machines in the organization but is being blocked by firewall rules.
Configurable Parameters:
- minimumOfStdsThreshold: The number of stds to use in the threshold calculation. Default is set to 3.
- learningPeriodTime: Learning period for threshold calculation in days. Default is set to 5.
- binTime: Learning buckets time in hours. Default is set to 1 hour.
- minimumThreshold: Minimum threshold for alert. Default is set to 5.
- minimumBucketThreshold: Minimum learning buckets threshold for alert. Default is set to 5.
severity: Medium
status: Available
requiredDataConnectors:
- connectorId: AzureActiveDirectory
dataTypes:
- NetworkAccessTrafficLogs
queryFrequency: 1h
queryPeriod: 7d
triggerOperator: gt
triggerThreshold: 1
tactics:
- InitialAccess
- Exfiltration
- CommandAndControl
relevantTechniques:
- T1571
query: |
let NumOfStdsThreshold = 3;
let LearningPeriod = 5d;
let BinTime = 1h;
let MinThreshold = 5.0;
let MinLearningBuckets = 5;
let TrafficLogs = NetworkAccessTraffic
| where Action == "Denied"
| where isnotempty(DestinationIp) and isnotempty(SourceIp);
let LearningSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(LearningPeriod + 1d) .. ago(1d))
| summarize count_ = count() by SourceIp, bin(TimeGenerated, BinTime), DestinationIp
| summarize LearningTimeSrcIpDenyRateAvg = avg(count_), LearningTimeSrcIpDenyRateStd = stdev(count_), LearningTimeBuckets = count() by SourceIp, DestinationIp
| where LearningTimeBuckets > MinLearningBuckets;
let AlertTimeSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(1h) .. now())
| summarize AlertTimeSrcIpDenyRateCount = count() by SourceIp, DestinationIp;
AlertTimeSrcIpDenyRate
| join kind=leftouter (LearningSrcIpDenyRate) on SourceIp, DestinationIp
| extend LearningThreshold = max_of(LearningTimeSrcIpDenyRateAvg + NumOfStdsThreshold * LearningTimeSrcIpDenyRateStd, MinThreshold)
| where AlertTimeSrcIpDenyRateCount > LearningThreshold
| project SourceIp, DestinationIp, AlertTimeSrcIpDenyRateCount, LearningThreshold
entityMappings:
- entityType: IP
fieldMappings:
- identifier: Address
columnName: SourceIp
- entityType: URL
fieldMappings:
- identifier: Url
columnName: DestinationIp
version: 1.0.4
kind: Scheduled
Stages and Predicates
Parameters
let NumOfStdsThreshold = 3;
let LearningPeriod = 5d;
let BinTime = 1h;
let MinThreshold = 5.0;
let MinLearningBuckets = 5;
let TrafficLogs and let AlertTimeSrcIpDenyRate are inlined into the numbered stages below.
Let binding: LearningSrcIpDenyRate
let LearningSrcIpDenyRate = TrafficLogs
| where TimeGenerated between (ago(LearningPeriod + 1d) .. ago(1d))
| summarize count_ = count() by SourceIp, bin(TimeGenerated, BinTime), DestinationIp
| summarize LearningTimeSrcIpDenyRateAvg = avg(count_), LearningTimeSrcIpDenyRateStd = stdev(count_), LearningTimeBuckets = count() by SourceIp, DestinationIp
| where LearningTimeBuckets > MinLearningBuckets;
Stages 1 to 5 define let AlertTimeSrcIpDenyRate (the rule's main pipeline source); stages 6 to 9 run on it.
Stage 1: source
NetworkAccessTraffic
Stage 2: where
| where Action == "Denied"
Stage 3: where
| where isnotempty(DestinationIp) and isnotempty(SourceIp)
Stage 4: where
| where TimeGenerated between (ago(1h) .. now())
Stage 5: summarize
| summarize AlertTimeSrcIpDenyRateCount = count() by SourceIp, DestinationIp
Stage 6: join
AlertTimeSrcIpDenyRate
| join kind=leftouter (LearningSrcIpDenyRate) on SourceIp, DestinationIp
Stage 7: extend
| extend LearningThreshold = max_of(LearningTimeSrcIpDenyRateAvg + NumOfStdsThreshold * LearningTimeSrcIpDenyRateStd, MinThreshold)
Stage 8: where
| where AlertTimeSrcIpDenyRateCount > LearningThreshold
Stage 9: project
| project SourceIp, DestinationIp, AlertTimeSrcIpDenyRateCount, LearningThreshold
Indicators
These rows show field, operator, and value matches.
| Field | Kind | Values | Search |
|---|---|---|---|
Action | eq |
| field:"Action" kind:eq value:"Denied" |
AlertTimeSrcIpDenyRateCount | cross_field_compare |
| field:"AlertTimeSrcIpDenyRateCount" kind:cross_field_compare value:"LearningThreshold" |
DestinationIp | is_not_null | field:"dest_ip" kind:is_not_null | |
LearningTimeBuckets | gt |
| field:"LearningTimeBuckets" kind:gt value:"5" |
SourceIp | is_not_null | field:"src_ip" kind:is_not_null |
Output fields
These fields are emitted when the rule matches.
| Field | Source |
|---|---|
AlertTimeSrcIpDenyRateCount | project |
DestinationIp | project |
LearningThreshold | project |
SourceIp | project |