IDS mailing list archives
Re: [Snort-users] RE: Network Behaviour Anomoly Detection
From: Martin Roesch <roesch () sourcefire com>
Date: Tue, 13 Jul 2004 14:55:38 -0400
You just need to enable with the "keepstats" keyword to the stream4 module. Keepstats has three different output modes, human readable (default), machine readable (CSV) and binary (unified).
preprocessor stream4: keepstats preprocessor stream4: keepstats machine preprocessor stream4: keepstats binaryThe binary format can be read by barnyard (file "snort-unified.stats") which would work great for a post-processed anomaly detector if you wanted near real-time performance. The other two formats are written to a file called session.log and are in text format.
Does that help? -Marty On Jun 30, 2004, at 2:00 PM, hugh_fraser () dofasco ca wrote:
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 hostthat's creating connections to a large number of hosts in a short periodof 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 toservices over a specific time period. (i.e. there are new requests whichmakes your environment look differently from what it was) 2. Changes involume from source/to destination going to services over a specific timeperiod. (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 morethan 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 packetsand 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 theflow record you could record the number of IDS events that fired for agiven 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...----------------------------------------------------------------------- --------------------------------------------------------------------------- ---- ------------------------------------------------------- This SF.Net email sponsored by Black Hat Briefings & Training. Attend Black Hat Briefings & Training, Las Vegas July 24-29 - digital self defense, top technical experts, no vendor pitches, unmatched networking opportunities. Visit www.blackhat.com _______________________________________________ Snort-users mailing list Snort-users () lists sourceforge net Go to this URL to change user options or unsubscribe: https://lists.sourceforge.net/lists/listinfo/snort-users Snort-users list archive: http://www.geocrawler.com/redir-sf.php3?list=snort-users
-- Martin Roesch - Founder/CTO, Sourcefire Inc. - (410)290-1616 Sourcefire: Intelligent Security Monitoring roesch () sourcefire com - http://www.sourcefire.com Snort: Open Source Network IDS - http://www.snort.org -------------------------------------------------------------------------- Test Your IDS Is your IDS deployed correctly? Find out quickly and easily by testing it with real-world attacks from CORE IMPACT. Go to http://www.securityfocus.com/sponsor/CoreSecurity_focus-ids_040708 to learn more. -------------------------------------------------------------------------- ------------------------------------------------------- SF email is sponsored by - The IT Product Guide Read honest & candid reviews on hundreds of IT Products from real users.Discover which products truly live up to the hype. Start reading now. http://productguide.itmanagersjournal.com/
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- Re: [Snort-users] RE: Network Behaviour Anomoly Detection Martin Roesch (Dec 28)