Best bet there is to create a new sensor config using the grok parser type. So
you would for example have a kafka topic called host_dhcp and a sensor called
host_dhcp with the relevant grok pattern.
Simon
> On 17 Oct 2017, at 19:19, Youzha <yuza.ras...@gmail.com> wrote:
>
> that’s what i mean.
> what sensor that i need if i want to do this case?
> especially when i wanna parse some host logs into metron enrichment and
> indexing
>
>> On Wed, 18 Oct 2017 at 01.03 Simon Elliston Ball
>> <si...@simonellistonball.com> wrote:
>> What you want to do in this setting is just TailFile, the just push to
>> Kafka. The grok piece is more efficiently handled in the Metron grok parser.
>>
>> Push to a kafka topic named for your sensor, then setup a sensor (a parser
>> topology to do the grok parsing and any transformation you need). Each
>> sensor gets its own parser topology.
>>
>> Simon
>>
>>
>>> On 17 Oct 2017, at 19:00, Youzha <yuza.ras...@gmail.com> wrote:
>>>
>>> after nifi procces :
>>>
>>> TAILFILE -> TRANSFORM_TO_GROK -> PUSH_KAFKA
>>>
>>> what metron topology that i can use to procces the data in kafka? so it can
>>> be enrichment by metron. i’ve check the article about adding new telemetry
>>> source with squid, there is a squid topology that will ingest from the
>>> squid topic in kafka and then put on enrichment kafka topic.
>>> so how about my use case above? is there any topology that i can use?
>>>
>>>> On Wed, 18 Oct 2017 at 00.30 Otto Fowler <ottobackwa...@gmail.com> wrote:
>>>> So,
>>>> There are several options parsing the data and enriching.
>>>>
>>>> 1. A native parser ( java ), which you have noticed is not there
>>>> 2. An instance of the GROK parser, with GROK rules that parser the input
>>>> 3. If it is CSV an instance of the CSV parser
>>>> 4. If it is JSON an instance of the JSONMap parser
>>>>
>>>> If these cannot be applied to your file then your options are:
>>>>
>>>> 1. Write or open a jira for a native parser
>>>> 2. find a way to transform your data to one of the above formats, so you
>>>> can use those parsers. This again is where nifi can help. Something like:
>>>>
>>>>
>>>> [nifi]
>>>>
>>>> TAILFILE -> TRANSFORM_TO_JSON -> PUSH_KAFKA
>>>>
>>>> where TRANSFORM_TO_JSON is a script processor or something built in
>>>> depending on your format.
>>>>
>>>>
>>>>
>>>>> On October 17, 2017 at 13:16:05, Youzha (yuza.ras...@gmail.com) wrote:
>>>>>
>>>>> Hi Lauren thx for your reply,
>>>>>
>>>>> yeah your suggestion absolutely right. i was able to ingest the logs to
>>>>> kafka. but how metron can enrich and index all of it? i think there are
>>>>> only bro, snort, yaf, snort, pcap, websphere topology storm on metron
>>>>> for parsers. so, how metron can read the logs telemetry and proccess it
>>>>> so i can use it to event correlation
>>>>>
>>>>>> On Tue, 17 Oct 2017 at 23.11 Laurens Vets <laur...@daemon.be> wrote:
>>>>>> Hi Youzha,
>>>>>>
>>>>>> Either check how the snort logs on the full dev installation are
>>>>>> ingested (I believe it's with a script) or check the Apache NiFi project
>>>>>> which makes it very easy to read logs from almost any format and ingest
>>>>>> them to Metron via Kafka.
>>>>>>
>>>>>>> On 2017-10-17 08:53, Youzha wrote:
>>>>>>>
>>>>>>> is it possible to ingest other logs like /var/log/secure for example to
>>>>>>> be new telemetry on metron? i've seen the metron architecture on the
>>>>>>> website like picture below. host logs, email, av, etc can be telemetry
>>>>>>> event buffer on metron. if this possible, could you give me some
>>>>>>> suggestion how to do it ?
>>>>>>>
>>>>>>>
>>>>>>>> On Tue, 17 Oct 2017 at 21.00 Nick Allen <n...@nickallen.org> wrote:
>>>>>>>> If you want to look at failed login attempts for each user over time,
>>>>>>>> then the Profiler might be a good solution. Your profile will depend
>>>>>>>> on the fields available in your telemetry, but it would look something
>>>>>>>> like this, as an example.
>>>>>>>>
>>>>>>>> {
>>>>>>>> "profile": "failed-logins",
>>>>>>>> "foreach": "user.name",
>>>>>>>> "onlyif": "source.type == 'activedirectory' and event.type ==
>>>>>>>> 'failed_login'"
>>>>>>>> "init": { "count": 0 },
>>>>>>>> "update": { "count" : "count + 1" },
>>>>>>>> "result": "count"
>>>>>>>> }
>>>>>>>>
>>>>>>>> You can find an introduction and more information on using the
>>>>>>>> Profiler below.
>>>>>>>> *
>>>>>>>> https://github.com/apache/metron/tree/master/metron-analytics/metron-profiler
>>>>>>>> * https://www.slideshare.net/secret/GFBf2RTXBG35PB
>>>>>>>>
>>>>>>>> Best of luck
>>>>>>>>
>>>>>>>>> On Tue, Oct 17, 2017 at 4:51 AM, tkg_cangkul <yuza.ras...@gmail.com>
>>>>>>>>> wrote:
>>>>>>>>> for example,
>>>>>>>>>
>>>>>>>>> i wanna try to correlate between logs.
>>>>>>>>> how many times user A have login failed and how many times user A
>>>>>>>>> have login succeed. include detail IP, timestamp etc.
>>>>>>>>> is this possible to do with metron?
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>> On 17/10/17 02:56, James Sirota wrote:
>>>>>>>>>> What specifically are you looking to correlate? Can you talk a
>>>>>>>>>> little more about your use case?
>>>>>>>>>>
>>>>>>>>>> 16.10.2017, 02:23, "tkg_cangkul" <yuza.ras...@gmail.com>:
>>>>>>>>>>> hi,
>>>>>>>>>>>
>>>>>>>>>>> anyone could explain me about event correlation using apache metron?
>>>>>>>>>>> does metron support event correlation?
>>>>>>>>>>>
>>>>>>>>>>> Pls Advice
>>>>>>>>>> -------------------
>>>>>>>>>> Thank you,
>>>>>>>>>>
>>>>>>>>>> James Sirota
>>>>>>>>>> PMC- Apache Metron
>>>>>>>>>> jsirota AT apache DOT org
>>>>>>
