Microsoft.web.sites.functions.keys.write

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Event Information

• The microsoft.web.sites.functions.keys.write event in Azure for AzureWebService refers to an action that is triggered when a write operation is performed on the keys of a function within an Azure Web App.
• This event indicates that a change has been made to the keys used for authentication and authorization purposes in the Azure Functions associated with the Azure Web App.
• It could mean that a new key has been generated, an existing key has been updated, or a key has been deleted for the Azure Functions within the Azure Web App.

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Examples

1. Unauthorized access to function keys: If security is impacted with microsoft.web.sites.functions.keys.write in Azure for AzureWebService, it could potentially allow unauthorized users to write or modify function keys. This could lead to unauthorized access to sensitive data or resources within the Azure Function, compromising the security of the application.
2. Exposure of sensitive information: If security is impacted with microsoft.web.sites.functions.keys.write in Azure for AzureWebService, it could result in the exposure of sensitive information stored in function keys. This could include API keys, connection strings, or other credentials, which can be used by malicious actors to gain unauthorized access to other systems or services.
3. Unauthorized modification of function behavior: If security is impacted with microsoft.web.sites.functions.keys.write in Azure for AzureWebService, it could allow unauthorized users to modify the behavior of the Azure Function by tampering with the function keys. This could result in the execution of malicious code or unauthorized actions within the function, potentially leading to data breaches or service disruptions.

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Remediation

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Using Console

1. Enable Azure Security Center:
   • Go to the Azure portal and search for “Security Center” in the search bar.
   • Select “Security Center” from the results and click on it.
   • In the Security Center dashboard, click on “Pricing & settings” in the left menu.
   • Choose the subscription and resource group where your AzureWebService is located.
   • Click on “Apply to all resources” to enable Security Center for all resources in the selected resource group.
   • Review the pricing tier options and select the appropriate tier for your needs.
   • Click on “Save” to enable Security Center.
2. Implement Network Security Groups (NSGs):
   • Go to the Azure portal and search for “Virtual machines” in the search bar.
   • Select “Virtual machines” from the results and click on it.
   • Find the virtual machine(s) associated with your AzureWebService.
   • Select the virtual machine and click on “Networking” in the left menu.
   • Under “Inbound port rules”, click on “Add inbound port rule” to add a new rule.
   • Configure the rule to allow only the necessary inbound traffic for your AzureWebService.
   • Repeat the above steps for all virtual machines associated with your AzureWebService.
3. Implement Azure Key Vault for secrets management:
   • Go to the Azure portal and search for “Key vaults” in the search bar.
   • Select “Key vaults” from the results and click on it.
   • Click on “Add” to create a new key vault.
   • Provide the necessary details like name, subscription, resource group, and region.
   • Configure access policies to grant necessary permissions to your AzureWebService.
   • Click on “Review + create” and then “Create” to create the key vault.
   • Once the key vault is created, you can store and manage secrets securely.

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Using CLI

1. Enable diagnostic logs:
   • Use the az webapp log config command to enable diagnostic logs for the Azure Web Service.
   • Specify the desired log level and retention days using the --web-server-logging and --detailed-error-messages parameters respectively.
2. Enable HTTPS Only:
   • Use the az webapp update command to enable HTTPS Only for the Azure Web Service.
   • Set the --https-only parameter to true to enforce HTTPS communication.
3. Enable Managed Service Identity (MSI):
   • Use the az webapp identity assign command to enable Managed Service Identity for the Azure Web Service.
   • This will provide an identity for the service, which can be used for authentication and authorization purposes.

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Using Python

1. Monitoring and Alerting:
   • Use the Azure Monitor service to set up monitoring and alerting for your Azure Web Service.
   • Create a metric alert to trigger an action when a specific condition is met, such as high CPU usage or low memory availability.
   • Use the Azure SDK for Python to programmatically create and manage alerts. Here’s an example script:
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   from azure.mgmt.monitor import MonitorManagementClient
   from azure.identity import DefaultAzureCredential
   
   # Authenticate using DefaultAzureCredential
   credential = DefaultAzureCredential()
   
   # Create a MonitorManagementClient
   monitor_client = MonitorManagementClient(credential, subscription_id)
   
   # Define the alert rule parameters
   alert_rule_params = {
       'location': 'eastus',
       'name': 'High CPU Alert',
       'description': 'Alert triggered when CPU usage exceeds 80%',
       'severity': 2,
       'enabled': True,
       'condition': {
           'odata.type': 'Microsoft.Azure.Management.Monitor.Models.ThresholdRuleCondition',
           'dataSource': {
               'odata.type': 'Microsoft.Azure.Management.Monitor.Models.RuleMetricDataSource',
               'resourceUri': '/subscriptions/{subscription_id}/resourceGroups/{resource_group}/providers/Microsoft.Web/sites/{web_service_name}',
               'metricName': 'CpuPercentage',
               'operator': 'GreaterThan',
               'threshold': 80
           }
       },
       'actions': [
           {
               'odata.type': 'Microsoft.Azure.Management.Monitor.Models.RuleEmailAction',
               'sendToServiceOwners': True
           }
       ]
   }
   
   # Create the alert rule
   monitor_client.alert_rules.create_or_update('{resource_group}', '{web_service_name}', '{alert_rule_name}', alert_rule_params)
   

2. Security and Compliance:
   • Implement Azure Security Center to continuously monitor the security posture of your Azure Web Service.
   • Enable the Azure Security Center recommendations and follow the guidance provided to remediate any security vulnerabilities.
   • Use the Azure SDK for Python to programmatically enable and manage Azure Security Center. Here’s an example script:
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   from azure.mgmt.security import SecurityCenterManagementClient
   from azure.identity import DefaultAzureCredential
   
   # Authenticate using DefaultAzureCredential
   credential = DefaultAzureCredential()
   
   # Create a SecurityCenterManagementClient
   security_center_client = SecurityCenterManagementClient(credential, subscription_id)
   
   # Enable Azure Security Center for the web service
   security_center_client.auto_provisioning_settings.create_or_update('{resource_group}', '{web_service_name}', {
       'name': 'default',
       'location': 'eastus',
       'properties': {
           'autoProvision': 'On',
           'tier': 'Standard'
       }
   })
   

3. Performance Optimization:
   • Use Azure Application Insights to monitor the performance of your Azure Web Service and identify any bottlenecks.
   • Analyze the telemetry data collected by Application Insights to optimize the performance of your web service.
   • Use the Azure SDK for Python to programmatically configure and use Application Insights. Here’s an example script:
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   from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
   from azure.monitor.opentelemetry.exporter import AzureMonitorMetricsExporter
   from opentelemetry import trace
   from opentelemetry import metrics
   from opentelemetry.sdk.trace import TracerProvider
   from opentelemetry.sdk.metrics import MeterProvider
   from opentelemetry.sdk.metrics.export import ConsoleMetricsExporter
   
   # Create a TracerProvider and configure Azure Monitor Trace Exporter
   trace.set_tracer_provider(TracerProvider())
   tracer_provider = trace.get_tracer_provider()
   tracer_provider.add_span_processor(
       AzureMonitorTraceExporter(
           connection_string='InstrumentationKey={instrumentation_key}'
       )
   )
   
   # Create a MeterProvider and configure Azure Monitor Metrics Exporter
   metrics.set_meter_provider(MeterProvider())
   meter_provider = metrics.get_meter_provider()
   meter_provider.add_meter_processor(
       AzureMonitorMetricsExporter(
           connection_string='InstrumentationKey={instrumentation_key}'
       )
   )
   
   # Use the tracer and meter to instrument your code and collect telemetry data
   tracer = trace.get_tracer(__name__)
   meter = meter_provider.get_meter(__name__)
   
   with tracer.start_as_current_span('my_operation'):
       # Perform your operation
   
   with meter.measure_int_put('my_metric', 42):
       # Record a metric value