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Create SyslogCEFConnectors.csv #10762

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Jul 17, 2024
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@
"BloodHoundEnterprisePostureWorkbook",
"UserWorkbook-alexdemichieli-github-update-1",
"SalemDashboard",
"ZNAccessOrchestratorAudit"
"ZNAccessOrchestratorAudit",
"SyslogConnectorsOverviewWorkbook"
]
}
35 changes: 35 additions & 0 deletions DataConnectors/SyslogCEFConnectors.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,35 @@
ProductName,ConnectorType
PAN-OS,CEF
Fortigate,CEF
Blackberry CylancePROTECT,Syslog
Cisco Application Centric Infrastructure ,Syslog
Cisco Identity Services Engine,Syslog
Cisco Stealthwatch,Syslog
Cisco UCS,Syslog
Cisco Web Security Appliance,Syslog
Citrix ADC (former NetScaler),Syslog
Digital Guardian Data Loss Prevention,Syslog
Exabeam Advanced Analytics,Syslog
Forescout,Syslog
GitLab,Syslog
Infoblox NIOS,Syslog
ISC Bind,Syslog
Ivanti Unified Endpoint Management,Syslog
uniper SRX,Syslog
McAfee ePolicy Orchestrator (ePO),Syslog
McAfee Network Security Platform,Syslog
OpenVPN Server,Syslog
Oracle Database Audit,Syslog
Pulse Connect Secure,Syslog
RSA SecurID (Authentication Manager),Syslog
Sophos XG Firewall,Syslog
Symantec Endpoint Protection,Syslog
Symantec VIP,Syslog
Syslog,Syslog
Microsoft Sysmon For Linux,Syslog
VMware ESXi,Syslog
Symantec ProxySG,Syslog
ESET PROTECT,Syslog
Barracuda CloudGen Firewall,Syslog
Nasuni Edge Appliance,Syslog
WatchGuard Firebox,Syslog
7 changes: 6 additions & 1 deletion Solutions/Syslog/Data/Solution_syslog.json
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,8 @@
"Data Connectors/template_SyslogAma.json"
],
"Workbooks": [
"Workbooks/LinuxMachines.json"
"Workbooks/LinuxMachines.json",
"Workbooks/SyslogConnectorsOverviewWorkbook.json"
],
"Analytic Rules": [
"Analytic Rules/FailedLogonAttempts_UnknownUser.yaml",
Expand All @@ -30,6 +31,10 @@
"Hunting Queries/squid_malformed_requests.yaml",
"Hunting Queries/squid_volume_anomalies.yaml"
],
"Parsers":[
"Workspace Functions/SyslogConnectorsOverallStatus.yaml",
"Workspace Functions/SyslogConnectorsEventVolumebyDeviceProduct.yaml"
],
"BasePath": "C:\\GitHub\\Azure-Sentinel\\Solutions\\Syslog",
"Version": "3.0.4",
"Metadata": "SolutionMetadata.json",
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Binary file added Solutions/Syslog/Package/3.0.5.zip
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33 changes: 27 additions & 6 deletions Solutions/Syslog/Package/createUiDefinition.json
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
"config": {
"isWizard": false,
"basics": {
"description": "<img src=\"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Logos/Azure_Sentinel.svg\" width=\"75px\" height=\"75px\">\n\n**Note:** Please refer to the following before installing the solution: \n\n• Review the solution [Release Notes](https://github.com/Azure/Azure-Sentinel/tree/master/Solutions/Syslog/ReleaseNotes.md)\n\n • There may be [known issues](https://aka.ms/sentinelsolutionsknownissues) pertaining to this Solution, please refer to them before installing.\n\nThe Syslog solution allows you to ingest events from applications or appliances that generate and can forward logs in the Syslog format to a Syslog Forwarder. The Agent for Linux is then able to forward these logs to the Log Analytics/Microsoft Sentinel workspace.\n\nInstalling this solution will deploy two data connectors,\n\r\n1. **Syslog via AMA** - This data connector helps in ingesting syslog messages into your Log Analytics Workspace using the new Azure Monitor Agent. Learn more about ingesting using the new Azure Monitor Agent [here](https://learn.microsoft.com/en-us/azure/azure-monitor/agents/data-collection-syslog). Microsoft recommends using this Data Connector.\n\r\n2. **Syslog via Legacy Agent** - This data connector helps in ingesting syslog messages into your Log Analytics Workspace using the legacy Log Analytics agent.\n\r\n<P>**NOTE**: After the solution is installed, Microsoft recommends configuring and leveraging the Syslog via AMA connector for log ingestion. Legacy connector uses the Log Analytics agent, which is about to be deprecated by **Aug 31, 2024,** and thus should only be installed where AMA is not supported.</p>\n\n**Data Connectors:** 2, **Workbooks:** 1, **Analytic Rules:** 7, **Hunting Queries:** 9\n\n[Learn more about Microsoft Sentinel](https://aka.ms/azuresentinel) | [Learn more about Solutions](https://aka.ms/azuresentinelsolutionsdoc)",
"description": "<img src=\"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Logos/Azure_Sentinel.svg\" width=\"75px\" height=\"75px\">\n\n**Note:** Please refer to the following before installing the solution: \n\n• Review the solution [Release Notes](https://github.com/Azure/Azure-Sentinel/tree/master/Solutions/Syslog/ReleaseNotes.md)\n\n • There may be [known issues](https://aka.ms/sentinelsolutionsknownissues) pertaining to this Solution, please refer to them before installing.\n\nThe Syslog solution allows you to ingest events from applications or appliances that generate and can forward logs in the Syslog format to a Syslog Forwarder. The Agent for Linux is then able to forward these logs to the Log Analytics/Microsoft Sentinel workspace.\n\nInstalling this solution will deploy two data connectors,\n\r\n1. **Syslog via AMA** - This data connector helps in ingesting syslog messages into your Log Analytics Workspace using the new Azure Monitor Agent. Learn more about ingesting using the new Azure Monitor Agent [here](https://learn.microsoft.com/en-us/azure/azure-monitor/agents/data-collection-syslog). Microsoft recommends using this Data Connector.\n\r\n2. **Syslog via Legacy Agent** - This data connector helps in ingesting syslog messages into your Log Analytics Workspace using the legacy Log Analytics agent.\n\r\n<P>**NOTE**: After the solution is installed, Microsoft recommends configuring and leveraging the Syslog via AMA connector for log ingestion. Legacy connector uses the Log Analytics agent, which is about to be deprecated by **Aug 31, 2024,** and thus should only be installed where AMA is not supported.</p>\n\n**Data Connectors:** 2, **Parsers:** 2, **Workbooks:** 2, **Analytic Rules:** 7, **Hunting Queries:** 9\n\n[Learn more about Microsoft Sentinel](https://aka.ms/azuresentinel) | [Learn more about Solutions](https://aka.ms/azuresentinelsolutionsdoc)",
"subscription": {
"resourceProviders": [
"Microsoft.OperationsManagement/solutions",
Expand Down Expand Up @@ -70,6 +70,13 @@
"text": "This Solution installs the data connector for Syslog. You can get Syslog Syslog data in your Microsoft Sentinel workspace. After installing the solution, configure and enable this data connector by following guidance in Manage solution view."
}
},
{
"name": "dataconnectors-parser-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "The Solution installs a parser that transforms the ingested data into Microsoft Sentinel normalized format. The normalized format enables better correlation of different types of data from different data sources to drive end-to-end outcomes seamlessly in security monitoring, hunting, incident investigation and response scenarios in Microsoft Sentinel."
}
},
{
"name": "dataconnectors-link2",
"type": "Microsoft.Common.TextBlock",
Expand Down Expand Up @@ -121,6 +128,20 @@
}
}
]
},
{
"name": "workbook2",
"type": "Microsoft.Common.Section",
"label": "Syslog Connectors Overview Workbook",
"elements": [
{
"name": "workbook2-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "This Workbook gives an overview of ingestion of logs into Syslog table via Syslog based dataconnectors such as AMA agent"
}
}
]
}
]
},
Expand Down Expand Up @@ -159,7 +180,7 @@
"name": "analytic1-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "Identifies failed logon attempts from unknown users in Syslog authpriv logs. The unknown user means the account that tried to log in \nisn't provisioned on the machine. A few hits could indicate someone attempting to access a machine they aren't authorized to access. \nIf there are many of hits, especially from outside your network, it could indicate a brute force attack. \nDefault threshold for logon attempts is 15."
"text": "Identifies failed logon attempts from unknown users in Syslog authpriv logs. The unknown user means the account that tried to log in isn't provisioned on the machine. A few hits could indicate someone attempting to access a machine they aren't authorized to access. \nIf there are many of hits, especially from outside your network, it could indicate a brute force attack. \nDefault threshold for logon attempts is 15."
}
}
]
Expand Down Expand Up @@ -187,7 +208,7 @@
"name": "analytic3-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "Checks for Squid proxy events in Syslog associated with common mining pools .This query presumes the default Squid log format is being used. \n http://www.squid-cache.org/Doc/config/access_log/"
"text": "Checks for Squid proxy events in Syslog associated with common mining pools. This query presumes the default Squid log format is being used.\n http://www.squid-cache.org/Doc/config/access_log/"
}
}
]
Expand Down Expand Up @@ -215,7 +236,7 @@
"name": "analytic5-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "Identifies an IP address that had 15 failed attempts to sign in via SSH in a 4 hour block during a 24 hour time period.\n Please note that entity mapping for arrays is not supported, so when there is a single value in an array, we will pull that\n value from the array as a single string to populate the entity to support entity mapping features within Sentinel. Additionally,\n if the array is multivalued, we will input a string to indicate this with a unique hash so that matching will not occur.\n As an example - ComputerList is an array that we check for a single value and write that into the HostName field for use in \n the entity mapping within Sentinel."
"text": "Identifies an IP address that had 15 failed attempts to sign in via SSH in a 4 hour block during a 24 hour time period.\n Please note that entity mapping for arrays is not supported, so when there is a single value in an array, we will pull that value from the array as a single string to populate the entity to support entity mapping features within Sentinel. Additionally, if the array is multivalued, we will input a string to indicate this with a unique hash so that matching will not occur.\n As an example - ComputerList is an array that we check for a single value and write that into the HostName field for use in the entity mapping within Sentinel."
}
}
]
Expand All @@ -229,7 +250,7 @@
"name": "analytic6-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "Identifies SFTP File Transfers above certain threshold in a 15min time period. It requires SFTP VERBOSE loglevel to be enabled.\n Please note that entity mapping for arrays is not supported, so when there is a single value in an array, we will pull that\n value from the array as a single string to populate the entity to support entity mapping features within Sentinel. Additionally,\n if the array is multivalued, we will input a string to indicate this with a unique hash so that matching will not occur."
"text": "Identifies SFTP File Transfers above certain threshold in a 15min time period. It requires SFTP VERBOSE loglevel to be enabled.\n Please note that entity mapping for arrays is not supported, so when there is a single value in an array, we will pull that value from the array as a single string to populate the entity to support entity mapping features within Sentinel. Additionally, if the array is multivalued, we will input a string to indicate this with a unique hash so that matching will not occur."
}
}
]
Expand All @@ -243,7 +264,7 @@
"name": "analytic7-text",
"type": "Microsoft.Common.TextBlock",
"options": {
"text": "Identifies SFTP File Transfers with distinct folder count above certain threshold in a 15min time period.\n It requires SFTP VERBOSE loglevel to be enabled.\n Please note that entity mapping for arrays is not supported, so when there is a single value in an array, we will pull that\n value from the array as a single string to populate the entity to support entity mapping features within Sentinel. Additionally,\n if the array is multivalued, we will input a string to indicate this with a unique hash so that matching will not occur."
"text": "Identifies SFTP File Transfers with distinct folder count above certain threshold in a 15min time period.\n It requires SFTP VERBOSE loglevel to be enabled.\n Please note that entity mapping for arrays is not supported, so when there is a single value in an array, we will pull that value from the array as a single string to populate the entity to support entity mapping features within Sentinel. Additionally, if the array is multivalued, we will input a string to indicate this with a unique hash so that matching will not occur."
}
}
]
Expand Down
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