https://simple-evcorr.github.io

Le lun. 15 avr. 2019 à 12:26, Scarpafo Scarpafo <[email protected]> a
écrit :

> Ok,
> Read your blog. Nice.
> I think before everything of technique we have to define the Supervision
> Policy.
> What we are facing?
> Where?
> .....
>
> Le lun. 15 avr. 2019 à 11:54, Scarpafo Scarpafo <[email protected]> a
> écrit :
>
>> Ok i will check your blog to night.
>> rsyslog is already inside each system. Better to use it instead of
>> install syslog-ng. Event if ng is better :)
>>
>> Le lun. 15 avr. 2019 à 09:37, Zrubi <[email protected]> a écrit :
>>
>>> -----BEGIN PGP SIGNED MESSAGE-----
>>> Hash: SHA256
>>>
>>> On 4/15/19 8:36 AM, Scarpafo Scarpafo wrote:
>>> > Ahah i suggest it to Frederic one years ago. But we need to salt
>>> > all VM with auditd policy, rsyslog forward, hids, build a repo
>>> > syslog-ng and the most difficult part... did you know any siem
>>> > without eating the power? xD.
>>> Well, we should not aim to create a full SIEM in this project, but
>>> "only" a log collecting (and parsing) VM, and the stuff needed for this.
>>>
>>> As log collecting (and parsing) is the very first requirement of every
>>> SIEM, we can't skip this part. As I already did (see my blog) it:
>>> basic log parsing can be done by syslog-ng (or maybe rsyslog, or
>>> nxlog) with only very small resources needed.
>>>
>>> The Qubes specific part would be the "special" log forwarding, instead
>>> of using TCP/UDP network. But the solution is already here: see the
>>> current template network access method.
>>>
>>> Then, if we have the architecture and the Qubes specific log
>>> collecting solution  we can start extending it by defining what kind
>>> of logs we need, and what we can do with them...
>>>
>>> But to jump ahead, and answer your question:
>>> As you may read on my blog, I started a tiny SIEM like project which
>>> runs on my home NAS. And this thing has only 512Mb RAM total. :)
>>>
>>> Of course it is not works like the big huge ELK/Splunk/Qradar, but
>>> something like well defined daily statistics instead. I would say that
>>> is a good start by seeing what happened in our home network. And I
>>> think the same should apply for a Qubes box.
>>>
>>> - --
>>> Zrubi
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>>>
>>

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