Turning off detection techniques alltogether is not usually the
preferred method. I'll give you a few examples of some alerts that NFR
might generate out of the box and how you would tune them.
Scenario 1: You deploy a sensor inside your network, and out of the box,
you start to trigger hundreds of false positives because we see lots of
"public" SNMP community strings. This is quite common inside people's
networks. At the very least, almost every printer you have will have
this on by default. You then have a number of options. You can say that
these alerts are relevant, and that you will make it your mission to
obliterate public community strings on your network. Or you can accept
that you can never get rid of these public community strings altogether,
so you decide that public community strings are "okay" inside your
network. Just so long as you don't see them in certain areas, such as
your critical data center, or your DMZ. So, you _tune_ the system. You
decide to ignore public community strings from every IP address inside
your network, except the ranges in your DMZ and critical data center.
This gets rid of most of the noise from userland, but still allows you
to keep a tight grip on weak community strings on critical or exposed
equipment.
Scenario 2: Same deployment as above. NFR alerts on weak passwords, such
as short passwords, alphabetic only passwords, etc. This would apply to
protocols such as FTP, telnet, HTTP, POP, IMAP, MYSQL, etc (all the
clear text protocols). The default policy alerts on passwords less than
8 characters long. The NFR box starts alerting when it sees users
connecting to FTP servers outside of your network. i.e. You are allowing
users to connect outbound on port 21 to servers that you don't control,
which is fine. However, you can't control the password policies on those
servers, so when the users create 7 character passwords that are all
alphabetic, we generate 2 alerts that you don't care about. In the
course of the day, depending on the number of users you have, and the
type of company you are (for example, a research organization), you
might generate hundreds of these alerts... maybe even thousands. And you
don't care about them at all. But, you don't want to just turn off this
check. So, you _tune_ the system. You decide to ignore these alerts as
long as the source IP is inside your network, and the dest IP is outside
your network. This gets rid of the noise, but still alerts you if
somebody outside the network tries to come in with a weak password, or
if somebody inside your network connects to another IP address inside
your network with a weak password.
There are lots of these types of scenarios, and a solution for every one
that allows you to get rid of noise. Tuning is the right solution.
Turning off detection techniques is not tuning.
In my experience 5 or 6 alerts generate 90% of the noise. If you have a
system with 1000's of checks, and you find yourself tuning out only a
couple of alerts, then you're in good shape. Statistically speaking,
that's actually really good. In the end you still might end up, after
tuning, with 4 or 5 alerts that still popup as false positives
occasionally, that you just can't figure out the best way to tune them.
So, you classify them as really low priority. If any other alerts shows
up (out of the 1000's of possible alerts you've never seen before), you
can quickly identify it without it getting lost in the noise.
Some might recommend using a SIM product to try to manage the large
volume of alerts. To that, I have one answer: Bad data in... Bad data
out. SIM products are not a solution for tuning your system. SIM
products do server a good purpose, but that purpose, IMHO, does not
replace the intelligence that goes into tuning a system. I've seen too
many SIM implementations fail because customers want to use them as a
silver bullet to their data overload issues.
Hope this helps,
dave
--
David W. Goodrum, CEH
(nfr)(security)
http://www.nfr.com
(M)703.731.3765
(O)240.747.3425
(F)240.632.0200
Sam Heshbon wrote:
My company is testing a few intrusion detection & prevention products. On the
first few hours/days
after deployment the machines alert on ten of thousands of events, which is way
too much for us to
ever go through, most of which are false alarms.
The vendor’s solution is tuning the systems, which means shutting down signatures, detection
mechanisms, omitting defragmentation tests and so on. These tunings do reduce
dramatically the
number of alerts, but it seems most of the detection capabilities have been
shut off too, so
things are
nice and quite but we've no idea what's really going on in our network apart from catching the
trivial threats such as old worms, which don’t get false alarms.
Has anyone encountered this situation? Anyone got a solution?
Thanks
Sam
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