我使用logstash从我的ASA 5505收集日志,我想提取ip源; ip destination;港口来源;港口目的地在kibana使用它们。 我应该在过滤器中写什么。
这是一条示例日志消息:
<166>Aug 20 2014 05:51:34: %ASA-6-302014: Teardown TCP connection 8440 for inside:192.168.2.209/51483 to outside:104.16.13.8/80 duration 0:00:53 bytes 13984 TCP FINs
<166>Aug 20 2014 06:50:55: %ASA-6-305012: Teardown dynamic TCP translation from inside:192.168.2.209/33388 to outside:192.168.1.101/33388 duration 0:04:00
<167>Aug 20 2014 06:50:55: %ASA-7-609002: Teardown local-host outside:74.125.206.95 duration 0:04:00
<166>Aug 20 2014 06:50:55: %ASA-6-305012: Teardown dynamic TCP translation from inside:192.168.2.209/33390 to outside:192.168.1.101/33390 duration 0:04:00
<166>Aug 20 2014 06:50:54: %ASA-6-302014: Teardown TCP connection 10119 for inside:192.168.2.209/48466 to outside:173.194.66.84/443 duration 0:05:34 bytes 3160 TCP FINs
<167>Aug 20 2014 06:50:53: %ASA-7-710005: UDP request discarded from 192.168.1.199/3205 to outside:255.255.255.255/3206
这是使用的过滤器:
filter {
if [type] == "syslog" {
grok {
match => { "message" => "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:[%{POSINT:syslog_pid}])?: %{GREEDYDATA:syslog_message}" }
add_field => [ "received_at", "%{@timestamp}" ]
add_field => [ "received_from", "%{host}" ] }
syslog_pri { }
date { match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
}
}
}
由于
答案 0 :(得分:0)
您希望在以下内容中添加以下内容:
grok {
match => ["syslog_message",
"inside:%{HOSTNAME:inside_host}/%{NUMBER:inside_port} to outside:%{HOSTNAME:outside_host}/%{NUMBER:outside_port}",
"discarded from %{HOSTNAME:inside_host}/%{NUMBER:inside_port} to outside:%{HOSTNAME:outside_host}/%{NUMBER:outside_port}:
]
}
在syslog_pri
行之前。
基本上,您需要构建匹配每种线型的模式。上面两个应该与你拥有的相匹配,但如果有_grokparsefailure
的任何内容,你需要找出原因。一种方法是使用http://grokdebug.herokuapp.com/(这是我首先想出的模式)。
答案 1 :(得分:0)
试试此过滤器
filter {
if [type] == "cisco-asa" {
grok {
match => ["message", "%{CISCO_TAGGED_SYSLOG} %{GREEDYDATA:cisco_message}"]
}
syslog_pri { }
date {
match => ["timestamp",
"MMM dd HH:mm:ss",
"MMM d HH:mm:ss",
"MMM dd yyyy HH:mm:ss",
"MMM d yyyy HH:mm:ss"
]
timezone => "America/New_York"
}
if "_grokparsefailure" not in [tags] {
mutate {
rename => ["cisco_message", "message"]
remove_field => ["timestamp"]
}
}
grok {
match => [
"message", "%{CISCOFW106001}",
"message", "%{CISCOFW106006_106007_106010}",
"message", "%{CISCOFW106014}",
"message", "%{CISCOFW106015}",
"message", "%{CISCOFW106021}",
"message", "%{CISCOFW106023}",
"message", "%{CISCOFW106100}",
"message", "%{CISCOFW110002}",
"message", "%{CISCOFW302010}",
"message", "%{CISCOFW302013_302014_302015_302016}",
"message", "%{CISCOFW302020_302021}",
"message", "%{CISCOFW305011}",
"message", "%{CISCOFW313001_313004_313008}",
"message", "%{CISCOFW313005}",
"message", "%{CISCOFW402117}",
"message", "%{CISCOFW402119}",
"message", "%{CISCOFW419001}",
"message", "%{CISCOFW419002}",
"message", "%{CISCOFW500004}",
"message", "%{CISCOFW602303_602304}",
"message", "%{CISCOFW710001_710002_710003_710005_710006}",
"message", "%{CISCOFW713172}",
"message", "%{CISCOFW733100}"
]
}
}
}
那应该有帮助