CYFIRMA - Medium Severity Asset based Vulnerabilities Rule Alert
| Id | 6306f2d9-34a3-409a-850d-175b7bdd1ab1 |
| Rulename | CYFIRMA - Medium Severity Asset based Vulnerabilities Rule Alert |
| Description | “This rule detects medium severity asset-based vulnerabilities from CYFIRMA’s vulnerability intelligence data. It identifies vulnerabilities with a confidence score of 50 or higher, excluding those categorized as ‘ATTACK_SURFACE_VULNERABILITY’, and generates alerts for assets that may be at risk.” |
| Severity | Medium |
| Tactics | Execution LateralMovement PrivilegeEscalation InitialAccess CredentialAccess DefenseEvasion |
| Techniques | T1059 T1203 T1210 T1068 T1190 T1133 T1003 T1553 T1548.002 T1021.002 |
| Required data connectors | CyfirmaVulnerabilitiesIntelDC |
| Kind | Scheduled |
| Query frequency | 5m |
| Query period | 5m |
| Trigger threshold | 0 |
| Trigger operator | GreaterThan |
| Source Uri | https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Cyfirma Vulnerabilities Intel/Analytic Rules/AssetVulnerabilitiesMediumSeverityRule.yaml |
| Version | 1.0.1 |
| Arm template | 6306f2d9-34a3-409a-850d-175b7bdd1ab1.json |
// Medium severity - Asset based Vulnerabilities
let timeFrame= 5m;
CyfirmaVulnerabilities_CL
| extend parsed = parse_json(extensions)
| extend extensionKeys = bag_keys(parsed)
| mv-expand extensionKeys
| extend extensionKeyStr = tostring(extensionKeys)
| extend ext = parsed[extensionKeyStr]
| extend props = ext.properties
| extend
attack_complexity = tostring(props.attack_complexity),
cvss_score = toreal(props.cvss_score),
integrity_impact = tostring(props.integrity_impact),
impact_score = tostring(props.impact_score),
attack_vector = tostring(props.attack_vector),
privileges_required = tostring(props.privileges_required),
cvss_version = tostring(props.cvss_version),
user_interaction = tostring(props.user_interaction),
cvss_vector = tostring(props.cvss_vector),
scope = tostring(props.scope),
confidentiality_impact = tostring(props.confidentiality_impact),
exploitability_score = toreal(props.exploitability_score),
products = tostring(props.products),
technologies = tostring(props.technologies),
vendors = tostring(props.vendors),
confidence_score = toint(confidence),
servers = tostring(props.servers),
vulnerability_type = tostring(props.vulnerability_type),
vulnerability_category = tostring(props.vulnerability_category),
NetworkIPs = tostring(props.ips),
ProviderName ='CYFIRMA',
ProductName ='DeCYFIR/DeTCT'
| summarize arg_max(
integrity_impact,
TimeGenerated,
id,
description,
confidence_score,
created,
modified,
attack_complexity,
cvss_score,
impact_score,
attack_vector,
privileges_required,
cvss_version,
user_interaction,
cvss_vector,
scope,
confidentiality_impact,
exploitability_score,
products,
technologies,
vendors,
ProviderName,
ProductName,
servers,
NetworkIPs,
vulnerability_type,
vulnerability_category
)
by name
| where confidence_score >= 60 and vulnerability_category != 'ATTACK_SURFACE_VULNERABILITY' and TimeGenerated between (ago(timeFrame) .. now())
| project
TimeGenerated,
name,
confidence_score,
integrity_impact,
attack_complexity,
cvss_score,
impact_score,
attack_vector,
UID = id,
description,
created,
modified,
privileges_required,
cvss_version,
user_interaction,
cvss_vector,
scope,
confidentiality_impact,
exploitability_score,
products,
technologies,
vendors,
ProviderName,
ProductName,
servers,
NetworkIPs,
vulnerability_type,
vulnerability_category
incidentConfiguration:
createIncident: true
groupingConfiguration:
lookbackDuration: PT5H
matchingMethod: AllEntities
reopenClosedIncident: false
enabled: false
description: |
"This rule detects medium severity asset-based vulnerabilities from CYFIRMA's vulnerability intelligence data.
It identifies vulnerabilities with a confidence score of 50 or higher, excluding those categorized as 'ATTACK_SURFACE_VULNERABILITY', and generates alerts for assets that may be at risk."
tactics:
- Execution
- LateralMovement
- PrivilegeEscalation
- InitialAccess
- CredentialAccess
- DefenseEvasion
alertDisplayNameFormat: 'CYFIRMA - Medium Severity Asset based Vulnerability Identified - {{name}} '
relevantTechniques:
- T1059
- T1203
- T1210
- T1068
- T1190
- T1133
- T1003
- T1553
- T1548.002
- T1021.002
alertDetailsOverride:
alertDynamicProperties:
- alertProperty: ProductName
value: ProductName
- alertProperty: ProviderName
value: ProviderName
severity: Medium
suppressionDuration: 5m
queryPeriod: 5m
id: 6306f2d9-34a3-409a-850d-175b7bdd1ab1
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Cyfirma Vulnerabilities Intel/Analytic Rules/AssetVulnerabilitiesMediumSeverityRule.yaml
triggerOperator: GreaterThan
requiredDataConnectors:
- dataTypes:
- CyfirmaVulnerabilities_CL
connectorId: CyfirmaVulnerabilitiesIntelDC
triggerThreshold: 0
name: CYFIRMA - Medium Severity Asset based Vulnerabilities Rule Alert
customDetails:
Products: products
ExploitabilityScore: exploitability_score
Modified: modified
CVSSVector: cvss_vector
TimeGenerated: TimeGenerated
ConfidenceScore: confidence_score
Technologies: technologies
CVSSScore: cvss_score
CVE: name
UserInteraction: user_interaction
AttackComplexity: attack_complexity
IntegrityImpact: integrity_impact
AttackVector: attack_vector
PrivilegesRequired: privileges_required
ConfidentialImpact: confidentiality_impact
ImpactScore: impact_score
CVSSVersion: cvss_version
Vendors: vendors
scope: scope
kind: Scheduled
enabled: false
version: 1.0.1
alertDescriptionFormat: '{{description}} '
eventGroupingSettings:
aggregationKind: AlertPerResult
suppressionEnabled: false
query: |
// Medium severity - Asset based Vulnerabilities
let timeFrame= 5m;
CyfirmaVulnerabilities_CL
| extend parsed = parse_json(extensions)
| extend extensionKeys = bag_keys(parsed)
| mv-expand extensionKeys
| extend extensionKeyStr = tostring(extensionKeys)
| extend ext = parsed[extensionKeyStr]
| extend props = ext.properties
| extend
attack_complexity = tostring(props.attack_complexity),
cvss_score = toreal(props.cvss_score),
integrity_impact = tostring(props.integrity_impact),
impact_score = tostring(props.impact_score),
attack_vector = tostring(props.attack_vector),
privileges_required = tostring(props.privileges_required),
cvss_version = tostring(props.cvss_version),
user_interaction = tostring(props.user_interaction),
cvss_vector = tostring(props.cvss_vector),
scope = tostring(props.scope),
confidentiality_impact = tostring(props.confidentiality_impact),
exploitability_score = toreal(props.exploitability_score),
products = tostring(props.products),
technologies = tostring(props.technologies),
vendors = tostring(props.vendors),
confidence_score = toint(confidence),
servers = tostring(props.servers),
vulnerability_type = tostring(props.vulnerability_type),
vulnerability_category = tostring(props.vulnerability_category),
NetworkIPs = tostring(props.ips),
ProviderName ='CYFIRMA',
ProductName ='DeCYFIR/DeTCT'
| summarize arg_max(
integrity_impact,
TimeGenerated,
id,
description,
confidence_score,
created,
modified,
attack_complexity,
cvss_score,
impact_score,
attack_vector,
privileges_required,
cvss_version,
user_interaction,
cvss_vector,
scope,
confidentiality_impact,
exploitability_score,
products,
technologies,
vendors,
ProviderName,
ProductName,
servers,
NetworkIPs,
vulnerability_type,
vulnerability_category
)
by name
| where confidence_score >= 60 and vulnerability_category != 'ATTACK_SURFACE_VULNERABILITY' and TimeGenerated between (ago(timeFrame) .. now())
| project
TimeGenerated,
name,
confidence_score,
integrity_impact,
attack_complexity,
cvss_score,
impact_score,
attack_vector,
UID = id,
description,
created,
modified,
privileges_required,
cvss_version,
user_interaction,
cvss_vector,
scope,
confidentiality_impact,
exploitability_score,
products,
technologies,
vendors,
ProviderName,
ProductName,
servers,
NetworkIPs,
vulnerability_type,
vulnerability_category
queryFrequency: 5m