IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
ES|QL examples
editES|QL examples
editAggregating and enriching windows event logs
editFROM logs-* | WHERE event.code IS NOT NULL | STATS event_code_count = COUNT(event.code) BY event.code,host.name | ENRICH win_events ON event.code WITH event_description | WHERE event_description IS NOT NULL and host.name IS NOT NULL | RENAME event_description AS event.description | SORT event_code_count DESC | KEEP event_code_count,event.code,host.name,event.description
- It starts by querying logs from indices that match the pattern "logs-*".
- Filters events where the "event.code" field is not null.
- Aggregates the count of events by "event.code" and "host.name."
- Enriches the events with additional information using the "EVENT_DESCRIPTION" field.
- Filters out events where "EVENT_DESCRIPTION" or "host.name" is null.
- Renames "EVENT_DESCRIPTION" as "event.description."
- Sorts the result by "event_code_count" in descending order.
- Keeps only selected fields: "event_code_count," "event.code," "host.name," and "event.description."
Summing outbound traffic from a process curl.exe
editFROM logs-endpoint | WHERE process.name == "curl.exe" | STATS bytes = SUM(destination.bytes) BY destination.address | EVAL kb = bytes/1024 | SORT kb DESC | LIMIT 10 | KEEP kb,destination.address
- Queries logs from the "logs-endpoint" source.
- Filters events where the "process.name" field is "curl.exe."
- Calculates the sum of bytes sent to destination addresses and converts it to kilobytes (KB).
- Sorts the results by "kb" (kilobytes) in descending order.
- Limits the output to the top 10 results.
- Keeps only the "kb" and "destination.address" fields.
Manipulating DNS logs to find a high number of unique dns queries per registered domain
editFROM logs-* | GROK dns.question.name "%{DATA}\\.%{GREEDYDATA:dns.question.registered_domain:string}" | STATS unique_queries = COUNT_DISTINCT(dns.question.name) BY dns.question.registered_domain, process.name | WHERE unique_queries > 10 | SORT unique_queries DESC | RENAME unique_queries AS `Unique Queries`, dns.question.registered_domain AS `Registered Domain`, process.name AS `Process`
- Queries logs from indices matching "logs-*."
- Uses the "grok" pattern to extract the registered domain from the "dns.question.name" field.
- Calculates the count of unique DNS queries per registered domain and process name.
- Filters results where "unique_queries" are greater than 10.
- Sorts the results by "unique_queries" in descending order.
- Renames fields for clarity: "unique_queries" to "Unique Queries," "dns.question.registered_domain" to "Registered Domain," and "process.name" to "Process."
Identifying high-numbers of outbound user connections
editFROM logs-* | WHERE NOT CIDR_MATCH(destination.ip, "10.0.0.0/8", "172.16.0.0/12", "192.168.0.0/16") | STATS destcount = COUNT(destination.ip) BY user.name, host.name | ENRICH ldap_lookup_new ON user.name | WHERE group.name IS NOT NULL | EVAL follow_up = CASE(destcount >= 100, "true","false") | SORT destcount DESC | KEEP destcount, host.name, user.name, group.name, follow_up
- Queries logs from indices matching "logs-*."
- Filters out events where the destination IP address falls within private IP address ranges (e.g., 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16).
- Calculates the count of unique destination IPs by "user.name" and "host.name."
- Enriches the "user.name" field with LDAP group information.
- Filters out results where "group.name" is not null.
- Uses a "CASE" statement to create a "follow_up" field, setting it to "true" when "destcount" is greater than or equal to 100 and "false" otherwise.
- Sorts the results by "destcount" in descending order.
- Keeps selected fields: "destcount," "host.name," "user.name," "group.name," and "follow_up."