我正在尝试使用ELK来可视化BRO日志数据。我在网上发现了多个grok过滤器,它总是无法将模式与数据匹配。我尝试使用的过滤器之一是:
grok {
match => [ "message", "(?<ts>(.*?))t(?<uid>(.*?))t(?<id.orig_h>(.*?))t(?<id.orig_p>(.*?))t(?<id.resp_h>(.*?))t(?<id.resp_p>(.*?))t(?<trans_depth>(.*?))t(?<method>(.*?))t(?<bro_host>(.*?))t(?<uri>(.*?))t(?<referrer>(.*?))t(?<user_agent>(.*?))t(?<request_body_len>(.*?))t(?<response_body_len>(.*?))t(?<status_code>(.*?))t(?<status_msg>(.*?))t(?<info_code>(.*?))t(?<info_msg>(.*?))t(?<filename>(.*?))t(?<http_tags>(.*?))t(?<username>(.*?))t(?<password>(.*?))t(?<proxied>(.*?))t(?<orig_fuids>(.*?))t(?<orig_mime_types>(.*?))t(?<resp_fuids>(.*?))t(?<resp_mime_types>(.*))" ]
}
我试图获取的bro数据如下:
#separator x09
#set_separator ,
#empty_field (empty)
#unset_field -
#path http
#open 2018-11-27-18-31-02
#fields ts uid id.orig_h id.orig_p id.resp_h id.resp_p trans_depth method host uri referrer version user_agent request_body_len response_body_len status_code status_msg info_code info_msg tags username password proxied orig_fuids orig_filenames orig_mime_types resp_fuids resp_filenames resp_mime_types
#types time string addr port addr port count string string string string string string count count count string count string set[enum] string string set[string] vector[string] vector[string] vector[string] vector[string] vector[string] vector[string]
1543343462.308603 CrJmZi31EU3tUXba3c 10.100.130.72 38396 216.58.217.110 80 1 - - - - 1.1 - 0 219 301 Moved Permanently - - (empty) - - - - - - FXhQ5K1ydVhFnz9Agi - text/html
1543344229.051726 CLj9eD4BcFR42BRHV1 10.100.130.72 37452 169.254.169.254 80 1 - - - - 1.0 - 0 13 200 OK - - (empty) - - - - - - FO0Zko4uvyxeC8LDx4 - text/plain
1543345395.827176 C6Kdv49oODjjkgeFk 10.100.130.72 37464 169.254.169.254 80 1 - - - - 1.0 - 0 345 404 Not Found - - (empty) - - - - - - FW4NGDCyMNR43J4Hf - text/html
1543345691.165771 CNaObqkLN9imdehl4 10.100.130.72 37466 169.254.169.254 80 1 - - - - 1.0 - 0 13 200 OK - - (empty) - - - - - - FmUSygO8ocHKTN8L3 - text/plain
1543347316.900516 Ck5CsV2hr56axo3rzl 10.100.130.72 37486 169.254.169.254 80 1 - - - - 1.0 - 0 13 200 OK - - (empty) - - - - - - FXKDmj3kllpKuJnSkg - text/plain
1543348718.870063 CFBClg1jRpmBp4ElYb 10.100.130.72 37506 169.254.169.254 80 1 - - - - 1.0 - 0 13 200 OK - - (empty) - - - - - - F02j4T12ssIF2tYFF5 - text/plain
1543348995.827387 CPMwHt2g13sPqdiXE1 10.100.130.72 37508 169.254.169.254 80 1 - - - - 1.0 - 0 345 404 Not Found - - (empty) - - - - - - FsbLPY8A3gpuBkM7l - text/html
1543350095.640070 CObHQk2ARejHIWBcgc 10.100.130.72 37518 169.254.169.254 80 1 - - - - 1.0 - 0 13 200 OK - - (empty) - - - - - - FxCY9C2fOP4dHO2Dkj - text/plain
谢谢-JP-
- 忽略以#开头的行
- 我使用了给出的Grok解析器,它很有效。您可以使用grokdebugger来检查解析器。https://grokdebug.herokuapp.com/
- 数据源使用的可能是空格而不是制表符。验证数据
-
我使用了=>而不是逗号(,(。将代码更改为
grok { match => [ "message" => "(?<ts>(.*?))t(?<uid>(.*?))t(?<id.orig_h>(.*?))t(?<id.orig_p>(.*?))t(?<id.resp_h>(.*?))t(?<id.resp_p>(.*?))t(?<trans_depth>(.*?))t(?<method>(.*?))t(?<bro_host>(.*?))t(?<uri>(.*?))t(?<referrer>(.*?))t(?<user_agent>(.*?))t(?<request_body_len>(.*?))t(?<response_body_len>(.*?))t(?<status_code>(.*?))t(?<status_msg>(.*?))t(?<info_code>(.*?))t(?<info_msg>(.*?))t(?<filename>(.*?))t(?<http_tags>(.*?))t(?<username>(.*?))t(?<password>(.*?))t(?<proxied>(.*?))t(?<orig_fuids>(.*?))t(?<orig_mime_types>(.*?))t(?<resp_fuids>(.*?))t(?<resp_mime_types>(.*))" ] }
-
如果错误仍然存在,您也可以使用csv解析器而不是Grok。