Querying AWS WAF Logs
AWS WAF logs include information about the traffic that is analyzed by your web ACL, such as the time that AWS WAF received the request from your AWS resource, detailed information about the request, and the action for the rule that each request matched.
You can enable access logging for AWS WAF logs and save them to Amazon S3. Make a note of the Amazon S3 bucket to which you save these logs, and you can create an Athena table for them and query them in Athena.
For more information about enabling AWS WAF logs and about the log record structure, see Logging web ACL traffic information in the AWS WAF Developer Guide.
For an example of how to aggregate AWS WAF logs into a central data lake repository
and
query them with Athena, see the AWS Big Data Blog post Analyzing AWS WAF logs with Amazon ES, Amazon Athena, and Amazon QuickSight
Topics
Creating the Table for AWS WAF Logs
To create the AWS WAF table
-
Copy and paste the following DDL statement into the Athena console. Modify the
LOCATIONfor the Amazon S3 bucket that stores your logs.This query uses the OpenX JSON SerDe. The table format and the SerDe are suggested by the AWS Glue crawler when it analyzes AWS WAF logs.
Note The SerDe expects each JSON record in the WAF logs in Amazon S3 to be on a single line of text with no line termination characters separating the fields in the record. If the WAF log JSON text is in pretty print format, you may receive the error message
HIVE_CURSOR_ERROR: Row is not a valid JSON Objectwhen you attempt to query the table after you create it.CREATE EXTERNAL TABLE `waf_logs`( `timestamp` bigint, `formatversion` int, `webaclid` string, `terminatingruleid` string, `terminatingruletype` string, `action` string, `terminatingrulematchdetails` array< struct< conditiontype:string, location:string, matcheddata:array<string> > >, `httpsourcename` string, `httpsourceid` string, `rulegrouplist` array< struct< rulegroupid:string, terminatingrule:struct< ruleid:string, action:string, rulematchdetails:string >, nonterminatingmatchingrules:array< struct< ruleid:string, action:string, rulematchdetails:array< struct< conditiontype:string, location:string, matcheddata:array<string> > > > >, excludedrules:array< struct< ruleid:string, exclusiontype:string > > > >, `ratebasedrulelist` array< struct< ratebasedruleid:string, limitkey:string, maxrateallowed:int > >, `nonterminatingmatchingrules` array< struct< ruleid:string, action:string > >, `requestheadersinserted` string, `responsecodesent` string, `httprequest` struct< clientip:string, country:string, headers:array< struct< name:string, value:string > >, uri:string, args:string, httpversion:string, httpmethod:string, requestid:string >, `labels` array< struct< name:string > > ) ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe' WITH SERDEPROPERTIES ( 'paths'='action,formatVersion,httpRequest,httpSourceId,httpSourceName,labels,nonTerminatingMatchingRules,rateBasedRuleList,requestHeadersInserted,responseCodeSent,ruleGroupList,terminatingRuleId,terminatingRuleMatchDetails,terminatingRuleType,timestamp,webaclId') STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' LOCATION 's3://athenawaflogs/WebACL/' -
Run the
CREATE EXTERNAL TABLEstatement in the Athena console Query Editor. This registers thewaf_logstable and makes the data in it available for queries from Athena.
Creating the Table for AWS WAF Logs in Athena Using Partition Projection
Because AWS WAF logs have a known structure whose partition scheme you can specify
in
advance, you can reduce query runtime and automate partition management by using the
Athena partition projection feature. Partition projection automatically adds new
partitions as new data is added. This removes the need for you to manually add
partitions by using ALTER TABLE ADD PARTITION.
The following example CREATE TABLE statement automatically uses partition
projection on AWS WAF logs from a specified date until the present for a single AWS
region. In the LOCATION and storage.location.template clauses,
replace the bucket and folder
placeholders with values that identify the Amazon S3 bucket location of your AWS WAF
logs. For
projection.day.range, replace
2021/01/01
with the starting date that you want to use. After you run the query successfully,
you
can query the table. You do not have to run ALTER TABLE ADD PARTITION to
load the partitions.
CREATE EXTERNAL TABLE `waf_logs`( `timestamp` bigint, `formatversion` int, `webaclid` string, `terminatingruleid` string, `terminatingruletype` string, `action` string, `terminatingrulematchdetails` array< struct< conditiontype:string, location:string, matcheddata:array<string> > >, `httpsourcename` string, `httpsourceid` string, `rulegrouplist` array< struct< rulegroupid:string, terminatingrule:struct< ruleid:string, action:string, rulematchdetails:string >, nonterminatingmatchingrules:array< struct< ruleid:string, action:string, rulematchdetails:array< struct< conditiontype:string, location:string, matcheddata:array<string> > > > >, excludedrules:array< struct< ruleid:string, exclusiontype:string > > > >, `ratebasedrulelist` array< struct< ratebasedruleid:string, limitkey:string, maxrateallowed:int > >, `nonterminatingmatchingrules` array< struct< ruleid:string, action:string > >, `requestheadersinserted` string, `responsecodesent` string, `httprequest` struct< clientip:string, country:string, headers:array< struct< name:string, value:string > >, uri:string, args:string, httpversion:string, httpmethod:string, requestid:string >, `labels` array< struct< name:string > > ) PARTITIONED BY ( day STRING ) ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe' STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' LOCATION 's3://bucket/folder/' TBLPROPERTIES ( "projection.enabled" = "true", "projection.day.type" = "date", "projection.day.range" = "2021/01/01,NOW", "projection.day.format" = "yyyy/MM/dd", "projection.day.interval" = "1", "projection.day.interval.unit" = "DAYS", "storage.location.template" = "s3://bucket/folder/${day}" )
For more information about partition projection, see Partition Projection with Amazon Athena.
Example Queries for AWS WAF Logs
In the following example queries, modify the table name, column values, and other variables according to your requirements. To improve the performance of your queries and reduce cost, add the partition column in the filter condition.
Count the number of referers that contain a specified term
The following query counts the number of referers that contain the term "amazon" for the specified date range.
WITH test_dataset AS (SELECT header FROM waf_logs CROSS JOIN UNNEST(httprequest.headers) AS t(header) WHERE day >= '2021/03/01' AND day < '2021/03/31') SELECT COUNT(*) referer_count FROM DATASET WHERE LOWER(header.name)='referer' AND header.value LIKE '%amazon%'
Count all matched IP addresses in the last 10 days that have matched excluded rules
The following query counts the number of times in the last 10 days that the IP address matched the excluded rule in the rule group.
WITH test_dataset AS (SELECT * FROM waf_logs CROSS JOIN UNNEST(rulegrouplist) AS t(allrulegroups)) SELECT COUNT(*) AS count, "httprequest"."clientip", "allrulegroups"."excludedrules", "allrulegroups"."ruleGroupId" FROM test_dataset WHERE allrulegroups.excludedrules IS NOT NULL AND from_unixtime(timestamp/1000) > now() - interval '10' day GROUP BY "httprequest"."clientip", "allrulegroups"."ruleGroupId", "allrulegroups"."excludedrules" ORDER BY count DESC
Working with Date and Time
Return the timestamp field in human-readable ISO 8601 format
The following query uses the from_unixtime and
to_iso8601 functions to return the timestamp field
in human-readable ISO 8601 format (for example,
2019-12-13T23:40:12.000Z instead of
1576280412771). The query also returns the HTTP source name, source
ID, and request.
SELECT to_iso8601(from_unixtime(timestamp / 1000)) as time_ISO_8601, httpsourcename, httpsourceid, httprequest FROM waf_logs LIMIT 10;
Return records from the last 24 hours
The following query uses a filter in the WHERE clause to return
the HTTP source name, HTTP source ID, and HTTP request fields for records from
the last 24 hours.
SELECT to_iso8601(from_unixtime(timestamp/1000)) AS time_ISO_8601, httpsourcename, httpsourceid, httprequest FROM waf_logs WHERE from_unixtime(timestamp/1000) > now() - interval '1' day LIMIT 10;
Return records for a specified date range and IP address
The following query lists the records in a specified date range for a specified client IP address.
SELECT * FROM waf_logs WHERE httprequest.clientip='53.21.198.66' AND day >= '2021/03/01' AND day < '2021/03/31'
For a specified date range, count the number of IP addresses in five minute intervals
The following query counts, for a particular date range, the number of IP addresses in five minute intervals.
WITH test_dataset AS (SELECT format_datetime(from_unixtime((timestamp/1000) - ((minute(from_unixtime(timestamp / 1000))%5) * 60)),'yyyy-MM-dd HH:mm') AS five_minutes_ts, "httprequest"."clientip" FROM waf_logs WHERE day >= '2021/03/01' AND day < '2021/03/31') SELECT five_minutes_ts,"clientip",count(*) ip_count FROM test_dataset GROUP BY five_minutes_ts,"clientip"
For more information about date and time functions, see Date and Time
Functions and Operators
Working with Blocked Requests and Addresses
Extract the top 100 IP addresses blocked by a specified rule type
The following query extracts and counts the top 100 IP addresses that have
been blocked by the RATE_BASED terminating rule during the
specified date range.
SELECT COUNT(httpRequest.clientIp) as count, httpRequest.clientIp FROM waf_logs WHERE terminatingruletype='RATE_BASED' AND action='BLOCK' and day >= '2021/03/01' AND day < '2021/03/31' GROUP BY httpRequest.clientIp ORDER BY count DESC LIMIT 100
Count the number of times a request from a specified country has been blocked
The following query counts the number of times the request has arrived from an
IP address that belongs to Ireland (IE) and has been blocked by the
RATE_BASED terminating rule.
SELECT COUNT(httpRequest.country) as count, httpRequest.country FROM waf_logs WHERE terminatingruletype='RATE_BASED' AND httpRequest.country='IE' GROUP BY httpRequest.country ORDER BY count LIMIT 100;
Count the number of times a request has been blocked, grouping by specific attributes
The following query counts the number of times the request has been blocked, with results grouped by WebACL, RuleId, ClientIP, and HTTP Request URI.
SELECT COUNT(*) AS count, webaclid, terminatingruleid, httprequest.clientip, httprequest.uri FROM waf_logs WHERE action='BLOCK' GROUP BY webaclid, terminatingruleid, httprequest.clientip, httprequest.uri ORDER BY count DESC LIMIT 100;
Count the number of times a specific terminating rule ID has been matched
The following query counts the number of times a specific terminating rule ID
has been matched (WHERE
terminatingruleid='e9dd190d-7a43-4c06-bcea-409613d9506e'). The query
then groups the results by WebACL, Action, ClientIP, and HTTP Request
URI.
SELECT COUNT(*) AS count, webaclid, action, httprequest.clientip, httprequest.uri FROM waf_logs WHERE terminatingruleid='e9dd190d-7a43-4c06-bcea-409613d9506e' GROUP BY webaclid, action, httprequest.clientip, httprequest.uri ORDER BY count DESC LIMIT 100;
Retrieve the top 100 IP addresses blocked during a specified date range
The following query extracts the top 100 IP addresses that have been blocked for a specified date range. The query also lists the number of times the IP addresses have been blocked.
SELECT "httprequest"."clientip", "count"(*) "ipcount", "httprequest"."country" FROM waf_logs WHERE "action" = 'BLOCK' and day >= '2021/03/01' AND day < '2021/03/31' GROUP BY "httprequest"."clientip", "httprequest"."country" ORDER BY "ipcount" DESC limit 100
