说明
本文描述问题及解决方法适用于 腾讯云 Elasticsearch Service（ES）。
另外使用到：腾讯云 Logstash
由于篇幅问题，本文会分两部分展开，上半部分请移步：WAF防火墙数据接入腾讯云ES最佳实践（上）
一、Logstash介绍
1. logstash插件说明
1.1 Filter配置
- Grok
在数据处理中，我们用得最多的是 grok 插件，grok 是 logstash 最重要的插件。我们可以在 grok 里直接使用或应用预定义的表达式名称。
grok匹配模式语法为：%{SYNTAX:SEMANTIC:TYPE}
- SYNTAX: 正则表达式、预定义的正则表达式名称
- SEMANTIC: 标识符，标识匹配之后要放的字段名字（自定义或随心所欲，只要自己能认识区分的）
- TYPE: 可选的类型，目前支持int、float
例如 NUMBER 可以匹配3.44，IP可以匹配 192.168.21.2
所以这上面这两个值可以用 %{NUMBER:duration} %{IP:client} 来匹配。
官方提供了很多可以直接使用的表达式，以下面这两个预定义 grok 表达式为例。
USERNAME [a-zA-Z0-9._-]+
USER %{USERNAME}第一列是正则grok表达式的名称，可直接使用；第二列是普通的正则表达式； 第一行，用普通的正则表达式来定义一个 grok 表达式；第二行，简单来说，名字和表达式，可嵌套使用
Grok正则截取
grok正则表达式：
(?<temMsg>(.*)(?=Report)/?) 获取Report之前的字符作为temMsg字段的值 grok正则表达式：
(?<temMsg>(?=Report)(.*)/?) 获取Report之后的字符作为temMsg字段的值grok{
match => {
#截取<Report>之前的字符作为temMsg字段的值
"message" => "(?<temMsg>(.*)(?=Report)/?)"
}
}这个是截取特定的字符集日志，要日志中包含了"Report"关键字，关键字根据实际替换即可。
注：表达式中(?=Report)中的等于"="符号如果换成"<="这表示就不包含本身了，例如：
(?<temMsg>(.*)(?=Report)/?) 可以写成 (?<temMsg>(.*)(?<=Report)/?)这样输出的结果就不包含Report了，同理下面的一样。
其他样例：
grok正则表达式，截取report和msg之间的值，不包含report和msg本身：
(?<temMsg>(?<=report).*?(?=msg))grok正则表达式，截取 包含report但不包含msg：
(?<temMsg>(report).*?(?=msg))grok正则表达式，截取 不包含report但包含msg：
(?<temMsg>(?<=report).*?(msg))grok正则表达式，输出以report开头，以msg或者以request结尾的所有包含头尾信息：
(?<temMsg>(report).*?(msg|request))grok正则表达式，输出以report开头，以msg或者以request结尾的不包含头尾信息：
(?<temMsg>(report).*?(?=(msg|request)))grok{
match => {
#截取<Report>之后的和<msg>之前的值作为temMsg字段的值
"message" => "(?<temMsg>(?<=report).*?(?=msg))"
}
}这个是截取特定的字符集日志，要日志中包含了【report和msg和request】关键字
之间的表达式只要替换一下就可以使用了
（注：这个表达式中出现异常，在单个的字符串中可以将小括号【()】去掉，例如：(report).*?(?=msg) 可以写成report.*?(?=msg)）
grok正则表达式：(?<MYELF>([\s\S]{500}))
grok{
match => {
#截取日志500个字符 作为MYELF的值
"message" => "(?<MYELF>([\s\S]{500}))"
}
}测试匹配规则我们可以使用 Kiabna 的Dev Tools里的Grok Debug来实现，如下图：
Demo举例
(1) 我们虚构的一个http请求日志：
114.114.114.114 GET /index.html 15824 0.043可以使用如下grok pattern来匹配这种记录：
%{IP:client} %{WORD:method} %{URIPATHPARAM:request} %{NUMBER:bytes} %{NUMBER:duration}返回：
{
"duration": "0.043",
"request": "/index.html",
"method": "GET",
"bytes": "15824",
"client": "114.114.114.114"
}（2）我们想要得到下面日志里前面的时间 2020-03-18 以及 日志的级别 INFO
2020-03-18 14:04:23.944 [DubboServerHandler-10.50.245.25:63046-thread-168] INFO c.f.l.d.LogTraceDubboProviderFilter - c79b0905-03c7-4e54-a5a6-ff1b34058cdf CALLEE_IN dubbo:EstatePriceService.listCellPrice解决如下:
\s*%{TIMESTAMP_ISO8601:timestamp} \s*\[%{DATA:current_thread}\]\s*%{LOGLEVEL:loglevel}\s*(?<class_info>([\S+]*))过滤结果显示如下：
{
"current_thread": "DubboServerHandler-10.50.245.25:63046-thread-168",
"loglevel": "INFO",
"class_info": "c.f.l.d.LogTraceDubboProviderFilter",
"timestamp": "2020-03-18 14:04:23.944"
}（3）我们再看一看另外一个完整的nginx的access日志，样本文件如下，我们需要通过grok方式来输出json。
10.0.16.138 - - [18/Aug/2020:16:21:05 +0800] "GET / HTTP/1.1" 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.87 Safari/537.36" "-"grok 语法规则如下：
^%{IPV4:remote_addr} - (%{USERNAME:remote_user}|-) \[%{HTTPDATE:time_local}\] \"%{WORD:method} %{DATA:request} HTTP/%{NUMBER:httpversion}\" %{NUMBER:status:int} %{NUMBER:body_sent:int} "%{NOTSPACE:http_user_agent}\" %{QS:http_referer} %{NOTSPACE:http_user_agent}返回内容如下：
{
"remote_addr": "10.0.16.138",
"request": "/",
"method": "GET",
"time_local": "18/Aug/2020:16:21:05 +0800",
"http_user_agent": "-",
"remote_user": "-",
"http_referer": "\"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.87 Safari/537.36\"",
"httpversion": "1.1",
"body_sent": 0,
"status": 304
}（4）Java日志内容
2020-12-04 14:16:30.003 INFO 19095 --- [pool-4-thread-1] com.yck.laochangzhang.task.EndorseTask : 平台发起结束Grok 配置如下：
(?<datetime>\d{4}-\d{2}-\d{2}\s\d{2}:\d{2}:\d{2}\.\d{3})\s+(?<level>\w+)\s+\d+\s+-+\s\[[^\[\]]+\]\s+(?<handler>\S+)\s+:(?<msg>.*)返回内容如下：
{
"msg": "平台发起结束"
"handler":"com.yck.laochangzhang.task.EndorseTask""datetime": "2020-12-84 14:16:38.883"
"level":"INFO"
}二、需求实现
1. DLP日志接入
原始日志（已经过全量严格脱敏）：
2022-07-21T07:15:13.150Z 10.13.1.74 <6>Jul 21 15:15:34 [主机名] CEF:0|SkyGuard|Data Security|[ID]|DLP Incident Syslog| serialId=[ID] transactionId=[替换transactionId] incidentTime=2022-07-21 14:57:23 detectTime=2022-07-21 14:55:27 policyGroupNames=默认策略组 policyNames=[替换]-客户数据-信息 statusType=新 severityType=信息 maxMatches=16 transactionSize=116.87 KB detectAgent=Endpoint(MacBook-Pro.local) analyzeAgent=Content Analysis Engine(MacBook-Pro.local) tagContent=N/A ignoreStatus=未忽略 breachContents=[邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址]; [邮箱地址] totalMatches=16 classificationNames=N/A classificationLevelNames=N/A tagNames=N/A policyUuid=[替换policyUuid] ruleUuid=[替换ruleUuid] ruleName=邮件地址(16) sourceName=[替换姓名]-seti destinationNames=[域名] channelType=HTTP actionType=放行 attachmentNames=N/A details=http://[域名]/function/proto/json-to-proto-json-to-proto/proxy workModeType=阻断 sourceGroups=N/A sourceOu=[替换OU],OU=[替换OU],OU=[替换OU],OU=[替换OU],OU=[替换OU],DC=[替换DC],DC=[替换DC] sourceIp=[替换IP],[替换IP] destinationIps=[替换IP] sourceMail=[邮箱地址] sourceManagers=N/A sourceDepartment=N/A urlCategories=N/A destinationCountries=N/A destinationCities=N/A destinationLocations=N/A riskLevel=N/A sourceTitle=N/A sourceMobile=N/A sourceTelephone=N/A sourceEmployeeID=N/A sourceOffice=N/A sourceUuid=[替换ID] sourceLogonName=seti sourceDomain=N/A destinationUuid=N/A destinationLogonName=N/A destinationMail=N/A destinationDomain=[域名] messageId=N/A deviceType=笔记本 corporateType=公司内部 operationSystem=macOS hostname=[主机名] dmDeviceName=sec-dlp-lite-1 sourceMacAddress=[MAC地址] dataMethod=N/Afilter 规则如下：
filter{ grok { match => { "message" => "%{TIMESTAMP_ISO8601:messageTime} %{IP:clientIp} (?<logTime>\<.*?\>%{MONTH}%{SPACE}%{MONTHDAY}%{SPACE}%{TIME}) (?<logName>.*?\-.*?\-.*?\-.*?\-.*?) (?<logTag>.*?\|.*?\|.*?\|.*?\|.*?\|) %{GREEDYDATA:logContents}" } }# 移除内容里的空格 mutate { gsub => ["logContents", "; ", ";"] } # 解析kv kv { source => "logContents" field_split => " " value_split => "=" } # 还原内容里的空格 mutate { gsub => ["breachContents", ";", "; "] } # 匹配ISO8601 date { match => ["messageTime", "ISO8601"] target => "@timestamp" } # 移除字段 mutate { remove_field => ["logContents", "message"] }
}
2. 网络认证日志接入
原始日志（已经过全量严格脱敏）：
{
"severity": 0,
"priority": 0,
"facility_label": "kernel",
"type": "clearpass_syslog",
"host": "[脱敏后的IP地址]",
"severity_label": "Emergency",
"message": "<143>Nov 29 2022 11:23:56 [脱敏后的IP地址] CEF:0|Aruba Networks|ClearPass|6.10.6.186545|1000|RADIUS Authentications|1|cat=Insight Logs dvc=[脱敏后的IP地址] duser=[脱敏后的用户名] dmac=[脱敏后的MAC地址] cs2=[脱敏后的值] cs2Label=Authentication Protocol src=[脱敏后的IP地址] cs4=[脱敏后的值] cs4Label=Login Status destinationServiceName=[脱敏后的值] cs3=[脱敏后的值] cs3Label=Authentication Source dpriv=[脱敏后的值]|[脱敏后的值] cs5=[脱敏后的值] cs5Label=Enforcement Profiles\n",
"facility": 0
}filter 规则如下：
filter {
grok {
match => {
"message" => "<%{NUMBER:message_type_id}>(?<message_time>%{MONTH}%{SPACE}%{MONTHDAY}%{SPACE}%{YEAR}%{SPACE}%{TIME})%{SPACE}%{IP:message_ip}%{SPACE}(?<message_cef>.*?|)(?<networks>.*?|)(?<message_type>.*?|)(?<message_info>.*?|)(?<message_number>.*?|)(?<message_logged>.*?|)(?<message_flag>.*?|)%{GREEDYDATA:logContents}"
}
}# 移除外层分隔符 mutate { gsub => ["message_cef", "\|", "", "message_number", "\|", "", "message_type", "\|", "", "networks", "\|", "", "message_info", "\|", "", "message_flag", "\|", "", "message_logged", "\|", "" ] } # 移除末尾回车 mutate { gsub => ["logContents", "\\n", ""] } # 解析kv kv { source => "logContents" field_split => " " value_split => "=" } # 补全因空格分隔符造成value丢失的数据 mutate { gsub => ["cat", "Session", "Session Logs", "cat", "Insight", "Insight Logs", "cs1Label", "Login", "Login Status", "cs2Label", "Authentication", "Authentication Protocol", "cs4Label", "Login", "Login Status", "cs3Label", "Authentication", "Authentication Source", "cs5Label", "Enforcement", "Enforcement Profiles", "dpriv", "\[Guest\]\|\[User", "Guest|User Authenticated" ] } # 移除字段 mutate { remove_field => ["severity","severity_label","type","priority","host","facility","facility_label"] }
}
3. 终端日志接入
原始日志（已经过全量严格脱敏）：
2022-06-06T00:56:25.042Z [脱敏] <6>2022-06-06T08:56:25+08:00 [脱敏] HRESS[2100]: {"center_version":"1.0.37.0","event":{"time":1654476985,"client_id":3412,"hostname":"[脱敏]","group_name":"[脱敏]","class":1,"rule_name":"IE首页项","action":4,"proc_path":"C:\Program Files (x86)\Tencent\QQPCMgr\13.5.20525.234\QQPCTray.exe","cmdline":""C:\Program Files (x86)\Tencent\QQPCMgr\13.5.20525.234\QQPCTray.exe" /elevated /regrun","res_path":"HKEY_CURRENT_USER\Software\Microsoft\Internet Explorer\Main\Start Page","res_val":"https://hao.qq.com/?unc=Af31026\u0026s=o400493_1","treatment":131075},"event_type":"系统加固"}
2022-06-07T11:03:25.000Z [脱敏] {"center_version":"1.0.37.0","event":{"time":1654599805,"client_id":71,"hostname":"[脱敏]","group_name":"[脱敏]","class":"rogue","domain":"[脱敏]"},"event_type":"恶意网站拦截"}
2022-06-07T10:57:25.000Z [脱敏] {"center_version":"1.0.37.0","event":{"time":1654599445,"client_id":1835,"hostname":"[脱敏]","group_name":"[脱敏]","software_name":"搜狗输入法","proc_path":"C:\Program Files\Google\Chrome\Application\chrome.exe","file_path":"C:\Users\linsu\Downloads\sogou_pinyin_121b.exe","treatment":0},"event_type":"软件安装拦截"}
2022-06-08T01:34:25.000Z [脱敏] {"center_version":"1.0.37.0","event":{"time":1654652065,"client_id":3178,"hostname":"[脱敏]","group_name":"[脱敏]","kbid":"5005260","desc":"现已确认 Microsoft 软件产品中存在可能会影响您的系统的安全问题。您可以通过安装本 Microsoft 更新程序来保护您的系统不受侵害。有关本更新程序中所含问题的完整列表，请参阅相关 Microsoft 知识库文章。安装本更新程序之后，可能需要重新启动系统。","level":0,"state":7},"event_type":"漏洞修复"}
2022-06-08T01:50:25.000Z [脱敏] {"center_version":"1.0.37.0","event":{"time":1654653025,"client_id":2925,"hostname":"[脱敏]","group_name":"[脱敏]","software_name":"360画报","proc_path":"C:\360浏览器\360se6\Application\components\sesvc\sesvc.exe","file_path":"C:\360浏览器\360se6\Application\components\huabao\13.0.42.0\360hb_inst.exe","treatment":3},"event_type":"软件安装拦截"}filter 规则如下：
filter {
ruby {
code => 'event.set("space_num", event.get("message").split("{")[0].count(" "))'
}if [space_num] == 5 {
grok {
match => {"message" => "%{TIMESTAMP_ISO8601:message_time} %{IP:client_ip} (<.*?>%{TIMESTAMP_ISO8601:data_time}) (%{DATA:logsource}) %{DATA:program} %{GREEDYDATA:HRESS2100}"}
}
}if [space_num] == 2 {
grok {
match => {"message" => "%{TIMESTAMP_ISO8601:message_time} %{IP:client_ip} %{GREEDYDATA:HRESS2100}"}
}
}if [space_num] == 0 {
grok {
match => {"message" => "%{GREEDYDATA:HRESS2100}"}
}
}json {
source => "HRESS2100"
}mutate {
add_field => {"@event" => "%{event}"}
}json {
source => "@event" #再进行解析
}mutate {
# 修改字段类型
convert => ["time", "string"]
convert => ["client_id", "string"]
convert => ["priority", "string"]
convert => ["severity", "string"]
convert => ["facility", "string"]
}date {
match => ["time", "UNIX"]
target => "@timestamp"
}移除字段
mutate {
remove_field => [ "HRESS2100" , "message", "@event", "event", "space_num"]
}
}
附录
官方提供的预定义 grok 表达式
USERNAME [a-zA-Z0-9.-]+
USER %{USERNAME}
EMAILLOCALPART [a-zA-Z][a-zA-Z0-9.+-=:]+
EMAILADDRESS %{EMAILLOCALPART}@%{HOSTNAME}
INT (?:[+-]?(?:[0-9]+))
BASE10NUM (?<![0-9.+-])(?>[+-]?(?:(?:[0-9]+(?:.[0-9]+)?)|(?:.[0-9]+)))
NUMBER (?:%{BASE10NUM})
BASE16NUM (?<![0-9A-Fa-f])(?:[+-]?(?:0x)?(?:[0-9A-Fa-f]+))
BASE16FLOAT \b(?<![0-9A-Fa-f.])(?:[+-]?(?:0x)?(?:(?:[0-9A-Fa-f]+(?:.[0-9A-Fa-f]*)?)|(?:.[0-9A-Fa-f]+)))\bPOSINT \b(?:[1-9][0-9])\b
NONNEGINT \b(?:[0-9]+)\b
WORD \b\w+\b
NOTSPACE \S+
SPACE \s
DATA .?
GREEDYDATA .
QUOTEDSTRING (?>(?<!\)(?>"(?>\.|[^\"]+)+"|""|(?>'(?>\.|[^\']+)+')|''|(?>(?>\\.|[^\\]+)+`)|``))
UUID [A-Fa-f0-9]{8}-(?:[A-Fa-f0-9]{4}-){3}[A-Fa-f0-9]{12}URN, allowing use of RFC 2141 section 2.3 reserved characters
URN urn:[0-9A-Za-z][0-9A-Za-z-]{0,31}:(?:%[0-9a-fA-F]{2}|[0-9A-Za-z()+,.:=@;$_!*'/?#-])+
Networking
MAC (?:%{CISCOMAC}|%{WINDOWSMAC}|%{COMMONMAC})
CISCOMAC (?:(?:[A-Fa-f0-9]{4}.){2}[A-Fa-f0-9]{4})
WINDOWSMAC (?:(?:[A-Fa-f0-9]{2}-){5}[A-Fa-f0-9]{2})
COMMONMAC (?:(?:[A-Fa-f0-9]{2}:){5}[A-Fa-f0-9]{2})
IPV6 ((([0-9A-Fa-f]{1,4}:){7}([0-9A-Fa-f]{1,4}|:))|(([0-9A-Fa-f]{1,4}:){6}(:[0-9A-Fa-f]{1,4}|((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){5}(((:[0-9A-Fa-f]{1,4}){1,2})|:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){4}(((:[0-9A-Fa-f]{1,4}){1,3})|((:[0-9A-Fa-f]{1,4})?:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){3}(((:[0-9A-Fa-f]{1,4}){1,4})|((:[0-9A-Fa-f]{1,4}){0,2}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){2}(((:[0-9A-Fa-f]{1,4}){1,5})|((:[0-9A-Fa-f]{1,4}){0,3}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){1}(((:[0-9A-Fa-f]{1,4}){1,6})|((:[0-9A-Fa-f]{1,4}){0,4}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(:(((:[0-9A-Fa-f]{1,4}){1,7})|((:[0-9A-Fa-f]{1,4}){0,5}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:)))(%.+)?
IPV4 (?<![0-9])(?:(?:[0-1]?[0-9]{1,2}|2[0-4][0-9]|25[0-5])...)(?![0-9])
IP (?:%{IPV6}|%{IPV4})
HOSTNAME \b(?:[0-9A-Za-z][0-9A-Za-z-]{0,62})(?:.(?:[0-9A-Za-z][0-9A-Za-z-]{0,62}))*(.?|\b)
IPORHOST (?:%{IP}|%{HOSTNAME})
HOSTPORT %{IPORHOST}:%{POSINT}paths
PATH (?:%{UNIXPATH}|%{WINPATH})
UNIXPATH (/([\w_%!$@:.,+~-]+|\.))+
TTY (?:/dev/(pts|tty([pq])?)(\w+)?/?(?:[0-9]+))
WINPATH (?>[A-Za-z]+:|\)(?:\[^\?]*)+
URIPROTO A-Za-z+
URIHOST %{IPORHOST}(?::%{POSINT:port})?uripath comes loosely from RFC1738, but mostly from what Firefox
doesn't turn into %XX
URIPATH (?:/[A-Za-z0-9$.+!'(){},~:;=@#%&_-])+
#URIPARAM ?(?:[A-Za-z0-9]+(?:=(?:[^&]*))?(?:&(?:[A-Za-z0-9]+(?:=(?:[^&]*))?)?)*)?
URIPARAM ?[A-Za-z0-9$.+!*'|(){},~@#%&/=:;_?-[]<>]*
URIPATHPARAM %{URIPATH}(?:%{URIPARAM})?
URI %{URIPROTO}://(?:%{USER}(?::[^@]*)?@)?(?:%{URIHOST})?(?:%{URIPATHPARAM})?Months: January, Feb, 3, 03, 12, December
MONTH \b(?:[Jj]an(?:uary|uar)?|[Ff]eb(?:ruary|ruar)?|Mm?r(?:ch|z)?|[Aa]pr(?:il)?|[Mm]a(?:y|i)?|[Jj]un(?:e|i)?|[Jj]ul(?:y)?|[Aa]ug(?:ust)?|[Ss]ep(?:tember)?|Oo?t(?:ober)?|[Nn]ov(?:ember)?|[Dd]e(?:c|z)(?:ember)?)\b
MONTHNUM (?:0?[1-9]|1[0-2])
MONTHNUM2 (?:0[1-9]|1[0-2])
MONTHDAY (?:(?:0[1-9])|(?:[12][0-9])|(?:3[01])|[1-9])Days: Monday, Tue, Thu, etc...
DAY (?:Mon(?:day)?|Tue(?:sday)?|Wed(?:nesday)?|Thu(?:rsday)?|Fri(?:day)?|Sat(?:urday)?|Sun(?:day)?)
Years?
YEAR (?>\d\d){1,2}
HOUR (?:2[0123]|[01]?[0-9])
MINUTE (?:[0-5][0-9])'60' is a leap second in most time standards and thus is valid.
SECOND (?:(?:[0-5]?[0-9]|60)(?:[:.,][0-9]+)?)
TIME (?!<[0-9])%{HOUR}:%{MINUTE}(?::%{SECOND})(?![0-9])datestamp is YYYY/MM/DD-HH:MM:SS.UUUU (or something like it)
DATE_US %{MONTHNUM}[/-]%{MONTHDAY}[/-]%{YEAR}
DATE_EU %{MONTHDAY}[./-]%{MONTHNUM}[./-]%{YEAR}
ISO8601_TIMEZONE (?:Z|[+-]%{HOUR}(?::?%{MINUTE}))
ISO8601_SECOND (?:%{SECOND}|60)
TIMESTAMP_ISO8601 %{YEAR}-%{MONTHNUM}-%{MONTHDAY}[T ]%{HOUR}:?%{MINUTE}(?::?%{SECOND})?%{ISO8601_TIMEZONE}?
DATE %{DATE_US}|%{DATE_EU}
DATESTAMP %{DATE}[- ]%{TIME}
TZ (?:[APMCE][SD]T|UTC)
DATESTAMP_RFC822 %{DAY} %{MONTH} %{MONTHDAY} %{YEAR} %{TIME} %{TZ}
DATESTAMP_RFC2822 %{DAY}, %{MONTHDAY} %{MONTH} %{YEAR} %{TIME} %{ISO8601_TIMEZONE}
DATESTAMP_OTHER %{DAY} %{MONTH} %{MONTHDAY} %{TIME} %{TZ} %{YEAR}
DATESTAMP_EVENTLOG %{YEAR}%{MONTHNUM2}%{MONTHDAY}%{HOUR}%{MINUTE}%{SECOND}Syslog Dates: Month Day HH:MM:SS
SYSLOGTIMESTAMP %{MONTH} +%{MONTHDAY} %{TIME}
PROG [\x21-\x5a\x5c\x5e-\x7e]+
SYSLOGPROG %{PROG:program}(?:[%{POSINT:pid}])?
SYSLOGHOST %{IPORHOST}
SYSLOGFACILITY <%{NONNEGINT:facility}.%{NONNEGINT:priority}>
HTTPDATE %{MONTHDAY}/%{MONTH}/%{YEAR}:%{TIME} %{INT}Shortcuts
QS %{QUOTEDSTRING}
Log formats
SYSLOGBASE %{SYSLOGTIMESTAMP:timestamp} (?:%{SYSLOGFACILITY} )?%{SYSLOGHOST:logsource} %{SYSLOGPROG}:
Log Levels
LOGLEVEL ([Aa]lert|ALERT|[Tt]race|TRACE|[Dd]ebug|DEBUG|[Nn]otice|NOTICE|[Ii]nfo|INFO|[Ww]arn?(?:ing)?|WARN?(?:ING)?|[Ee]rr?(?:or)?|ERR?(?:OR)?|[Cc]rit?(?:ical)?|CRIT?(?:ICAL)?|[Ff]atal|FATAL|[Ss]evere|SEVERE|EMERG(?:ENCY)?|[Ee]merg(?:ency)?)
