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This chapter explored the many faces of traffic using ports 53 UDP and TCP Since almost every Internet site relies on DNS, it's important to understand the protocol's normal, suspicious, and malicious aspects We started the chapter with a look at normal traffic passed on port 53 UDP and TCP The normal traffic was run-of-the-mill UDP-based DNS, albeit with larger payloads than we expected Using the dnsquery command, we forced DNS over port 53 TCP Zone transfers were shown as a form of TCP-based DNS that is normal if done between master and slave DNS servers but malicious if done by an unauthorized party We explored how global LBSs use odd TCP segments to measure latency by prompting responses from DNS servers The suspicious UDP traffic was caused by a creative way to distribute BitTorrent files over DNS The malicious traffic was the result of an intruder running Tunnelshell The covert channel was easy to spot because it looked nothing like normal DNS traffic on port 53 UDP We concluded with a look at a query for the version of BIND running on a target, and an examination of an unsuccessful attempt to exploit BIND This chapter relied heavily on alert and full content data to detect and validate events In the next chapter, we turn to session data to understand n intrusion scenario. Day Day Up >. QR Code JIS X 0510 Generation In VB.NET Using Barcode drawer for .Related: Make EAN-13 .NET , Creating EAN 128 .NET , UPC-A Creating .NET

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Abstract excerpt: "Many Cisco routers and switches support NetFlow services which provides a detailed source of data about network raffic The Office of Information Technology Enterprise Networking Services group (OIT/ENS) at The Ohio State University (OSU) has written a suite of tools called flow-tools to record, filter, print and analyze flow logs derived from exports of NetFlow accounting records We use the flow logs for general network planning, performance monitoring, usage based billing, and many security related tasks including incident response and intrusion detection This paper describes what the flow logs contain, the tools we have written to store and process these logs, and discusses how we have used the logs and the tools to perform network management and security functions at OSU We also discuss some related projects and our future plans at the end of the paper" Significance: This paper cites a lot of earlier work on Cisco NetFlow records, but I think it coherently addresses many of the key issues It describes the Flow-tools package with examples and usage suggestions Highlights: Like the AT&T sensor architecture paper, this document also addresses privacy It acknowledges that content data is sometimes unnecessary when sessions are recorded: "The flow logs do not contain a record of what is usually considered the contents of the packets This means that although we could determine that a given host accessed a given web server at a certain time, the flow logs would not contain a record of the URL requested or the response received However, if you can correlate the activity recorded in the flow logs against the data in other logs (such as authentication logs), you might be able to match accounts (and so, to a large degree, people) to IP addresses, IP addresses to their associated network activity, and then match that network activity to specific details such as URLs requested, email addresses for correspondents, newsgroups read and so on Consequently, the act of recording and archiving NetFlow records raises a number of privacy concerns Our rationale is that the logs are invaluable for security, performance and network monitoring and usage based billing We could aggregate the data and use that for some of these functions, which would solve most of the privacy concerns However, having a long (2 to 3 month) window of past logs is invaluable for incident response, and we expect that it may prove invaluable for bill dispute resolution as well We think that the level of detail present in the flow logs represents an acceptable balance between utility and privacy for our environment On the positive side, we have found that we have had to do content based sniffing (eg, with tcpdump) far less often, since we have a ready source of information about network activity".

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