Snort mailing list archives
RE: RE: Network Behaviour Anomoly Detection
From: <hugh_fraser () dofasco ca>
Date: Wed, 30 Jun 2004 14:00:52 -0400
Does Spade to some of this? These seem like very good requests, especially in light of some of the recent RPC-based worms whose most easily-recognized signature is host scanning activity. We have a switched network. It's difficult to distinguish legitimate traffic from worm traffic at the receiving end, but it's easy to recognize a host that's creating connections to a large number of hosts in a short period of time. Even better, if snort can be told to learn what normal behaviour is for a node, it could alert to changes in that behaviour without creating the onerous job of manually configuring thresholds. If spp_flow or stream4 can do this already, I had trouble identifying that from the docs. Could someone provide some config examples? -----Original Message----- From: snort-users-admin () lists sourceforge net [mailto:snort-users-admin () lists sourceforge net] On Behalf Of pieter claassen Sent: Saturday, June 26, 2004 9:03 AM To: Martin Roesch Cc: Michael Cunningham; 'Jon Baer'; focus-ids () securityfocus com; snort users Subject: Re: [Snort-users] RE: Network Behaviour Anomoly Detection As a first cut I can think of the following anomalous events that might be interesting: 1. Changes in spread of connections from source/to destination to services over a specific time period. (i.e. there are new requests which makes your environment look differently from what it was) 2. Changes in volume from source/to destination going to services over a specific time period. (i.e. resource abuse or successful compromise) How would the logic be implemented? Can this be done through the existing rule syntax? sample rules: alert tcp any any -> $WEBSERVERS any (msg:"Somebody is probing our servers" ; anomaly:"ports > 20/min" ) - A match would indicate a quantitative increase in connections to more than 20/min to a webserver alert tcp any any -> $WEBSERVERS any (msg:"Sudden increase in consumption"; anomaly:"volume > 20%/min" ) - A match would indicate a qualitative increase in volume of traffic being requested from a service alert tcp any any <> any any (msg:"Client is making a whole lot of new connections and getting loads of data back"; anomaly:"volume_per_con > 20%/min AND ports > 20%/min" ) - A match would indicate that a client is originating new connections and getting data back Isn't the first option just the portscan preprocessor in a different from? Is there another way to "program" the preprocessor in this case? Pieter On Thu, 2004-06-24 at 20:25, Martin Roesch wrote:
Hi Mike,Anyone interested in starting up an opensource project to build something like this?FYI, Snort's stream4 module (and the new spp_flow) module is capable of logging the stats you mention for any flow that is observed, specifically start/stop time, src/dst IPs and ports, number of packets
and number of bytes transferred, as well as IDS event stats and any other flags you care to hang off of them. For example, along with the
flow record you could record the number of IDS events that fired for a
given flow as well as any anomalies that were detected on that flow (e.g. fragmentation/tcp protocol anomalies, etc). Snort's got 50% of what you want already, you could implement the anomaly detection as a preprocessor if you were so inclined...
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Current thread:
- Network Behaviour Anomoly Detection crayola (Jun 23)
- Re: Network Behaviour Anomoly Detection Jon Baer (Jun 23)
- RE: Network Behaviour Anomoly Detection Michael Cunningham (Jun 23)
- RE: RE: Network Behaviour Anomoly Detection Jerry Shenk (Jun 24)
- Re: RE: Network Behaviour Anomoly Detection security (Jun 24)
- Re: RE: Network Behaviour Anomoly Detection Martin Roesch (Jun 24)
- Re: RE: Network Behaviour Anomoly Detection pieter claassen (Jun 26)
- Re: RE: Network Behaviour Anomoly Detection security (Jun 30)
- RE: Network Behaviour Anomoly Detection Michael Cunningham (Jun 23)
- Re: Network Behaviour Anomoly Detection Jon Baer (Jun 23)
- <Possible follow-ups>
- RE: RE: Network Behaviour Anomoly Detection hugh_fraser (Jun 30)
