![]() ![]() | if (status_code matches "20*" or status_code matches "30*",1,0) as resp_okįollow the instructions below to create Sumo Logic Ratio metric using Metrics type: | parse "HTTP/1.1\" * * *" as (status_code, size, tail) Sample query for Sumo Logic Threshold metric:.The Query must contain the keyword timeslice.You can also select Alert Policies and Labels on this screen.įollow the instructions below to create Sumo Logic Threshold metric using Logs type: In step 5, add a Name, Description, and other details about your SLO.In step 4, specify the Error Budget Calculation Method and your Objective(s).In step 3, define a Time Window for the SLO.Sample query for Sumo Logic Threshold metric (Metrics type): metric=CPU_usage.Select one of the following values: avg, sum, min, max, count, none.Rollup is an aggregation function Sumo Logic uses when quantizing metrics. For more details, refer to the Sumo Logic documentation.In Sumo Logic, quantization is the process of aggregating metric data points for time series over an interval of time.Select value and units for Quantization.In step 2, select Sumo Logic as the Data Source for your SLO, then specify the Metric.In step 1 of the SLO wizard, select the Service the SLO will be associated with.# If you don’t want the metrics to be exposed, comment out or delete the N9_METRICS_PORT variable.įollow the instructions below to create Sumo Logic Threshold metric using Metrics type: # The 9090 is the default value and can be changed. ![]() # The N9_METRICS_PORT is a variable specifying the port to which the /metrics and /health endpoints are exposed. Name : nobl9 - agent - myorg - myproject - sumologicagent # It is not a ready-to-apply k8s deployment description, and the client_id and client_secret are only exemplary values. If you want to get started with Sumo Logic, reach out to us.# DISCLAIMER: This deployment description contains only the fields necessary for the purpose of this demo. If you are a Sumo Logic customer, reach out to us now for help. Sumo Logic Global Operations Center, Threat Labs and Engineering teams are working on releasing additional content to help you to stay ahead of such compromises. You will be able to use all relevant Okta (or other) logs to help you determine if you are compromised. Once you sign up, our onboarding team will help you navigate the steps to be taken to get you going. | where finding = "High push fail Ratio with successful login detected" and total_pushes > 1ĭon't worry, you can get started in minutes! Sign up for your free trial today. | if(push_fail_ratio>.1,"High push fail Ratio with successful login detected",finding) as finding | if(success>0 AND total_pushes>3,"Multiple pushes sent, eventual successful authentication!",finding) as finding | if(total_pushes=0,"Multiple pushes sent and ignored",finding) as finding | if(failure=total_pushes AND total_pushes>1,"Authentication attempts not successful because multiple pushes denied",finding) as finding | failure/total_pushes as push_fail_ratio | count as total_pushes,sum(success) as success, sum(failure) as failure by user,_timeslice | json field=_raw "actor.alternateId" as user | json field=_raw "outcome.result" as result ![]() _source="Okta" (_via_mfa or OKTA_VERIFY_PUSH) Okta_User_Attempted_to_Access_Unauthorized_AppĪlternatively, from the Sumo Logic platform you can search Okta logs for signs of an attacker attempting to flood the target victim with Multi-Factor Authentication (MFA) push notifications until the victim accepts an MFA request. If you are a Sumo Logic Cloud SIEM customer you have more fine-grained capabilities! Cloud SIEM includes targeted searches that you can use now, such as: Identify top 10 user account lockouts in the last 24 hoursĬorrelate user account lockout with a successful loginĮxample: User Event Analysis using Okta App You can use the Okta App for Sumo Logic to get started with securing your environment by using the Okta logs to determine this potential compromise and much more, including: If you are a Sumo Logic customer or if you are trialing Sumo Logic services, we can help you determine if you are at risk. ![]()
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