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At this point you might think Sguil is a cool way to look at Snort alerts It certainly is, but we're only getting started The question that NSM theory was designed to answer was stated in the beginning of the book: "Now what " Now that we have an alert, what does the analyst do with it Most commercial and many open source systems leave analysts with alerts and expect them to make escalation decisions based on the information present in the alert The fact that Snort can be tweaked to show the information seen thus far is a big win for the open source community Where do we go next Sguil is designed to collect alert, session, and full content data If we have the Snort sensor configured to log libpcap data for port 80 TCP, we can take the next step using full content data If we right-click on the sidcid field of the highlighted event, we are given options to query the following items Event History : Show any comments and the validation status assigned by an analyst to the alert New alerts marked RT do not have an event history yet Transcript : Generate full content data for the alert, if available Sguil will query the sensor for libpcap data associated with the alert, use Secure Copy to transport it to the analyst workstation, and display the transcript in a new window Transcript (force new) : Regenerate the transcript If the first transcript was created while the session was still open, a transcript created using force new may show additional data hat was exchanged during the session Requested transcripts are stored on the server running the Sguil daemon and used to generate future transcripts for users who don't possess a copy of the pcap file on their local workstations Ethereal : Launch Ethereal, reading the same data as would be transferred to generate a transcript Ethereal (force new) : As with forcing a new transcript, this option tells Ethereal to inspect the latest date for the session designated by the selected alert.

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This book demonstrates that the first method often results in failure Responding in an ad hoc manner, with ill-defined tools and a lack of formal techniques, is costly and unproductive The second method has a far better success rate Analysts using NSM tools and techniques interpret integrated sources of network data to identify indications and form warnings, escalating them as actionable intelligence to decision makers, who respond to incidents Although the remainder of this book will explain how to take these steps, let's briefly apply them to the scenario of abnormally heavy router traffic In a case where an unusual amount of traffic is seen, NSM analysts would first check their statistical data sources to confirm the findings of the network administrators Depending on the tools used, the analysts might discover an unusual amount of traffic flowing over an unrecognized port to a server on a laboratory network The NSM analysts might next query for all alert data involving the lab server over the last 24 hours, in an effort to identify potentially hostile events Assuming no obviously malicious alerts were seen, the analysts would then query for all session data for the same period The session data could show numerous conversations etween the lab server and a variety of machines across the Internet, with all of the sessions initiated outbound by the lab server Finally, by taking a sample of full content data, the analysts could recognize the footprint of a new file-sharing protocol on a previously unseen port These steps might seem self-evident at first, but the work needed to implement this level of analysis is not trivial Such preparation requires appreciation for the principles already mentioned, along with the selection and deployment of tools and techniques yielding high-fidelity data Far too often security personnel spend thousands of dollars on equipment that produces little valuable information in the face of uncertainty The purpose of this book is to help readers prepare for and conduct efficient network-based analysis Having the right data on hand means faster and more accurate incident response, thereby preserving the assets that security professionals are bound to protect Hopefully you accept that a prevention-oriented security strategy is doomed to fail If not, consider whether or not you agree with these four statements 1 Most existing systems have security flaws that render them susceptible to intrusions, penetrations, and other forms of abuse Finding and fixing all these deficiencies is not feasible for technical and economic reasons Existing systems with known flaws are not easily replaced by systems that are more secure mainly because the systems have attractive features that are missing in the more secure systems, or else they cannot be replaced for economic reasons Developing systems that are absolutely secure is extremely difficult, if not generally impossible Even the most secure systems are vulnerable to abuses by insiders who misuse their privileges.

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Of all the sources of NSM information, session data is the most useful Session data quickly reduces millions of packets to summaries of conversations or flows These conversations show who talked o whom, when, using what ports and protocols, for how long, and how much data was passed during the session The content of the session is not captured unless full content monitoring is performed on one or more packets of the session Session data is the incident responder's best friend because it answers three out of the four most pressing questions a decision maker faces Can you guess which one session data cannot answer 1 2 3 4 Are one or more servers definitely compromised If one or more servers are compromised, what did we lose Where else did the intruder go Is the intruder back today . Code In .NET Framework Using Barcode creation for .Related: QR Code Generator ASP.NET , VB.NET QR Code Generation Size, QR Code Generator VB.NET

This chapter presented a variety of tools intruders may use to attack NSM operations To enable you to try these methods, we discussed public tools and exploits Always remember that the highest-end attackers write their own tools and save them for targets that have the highest value We reviewed Packit and IP Sorcery, two applications that generate TCP/IP traffic We next looked at Fragroute, which manipulates traffic through fragmentation trickery After Fragroute we investigated LFT, a TCP-based Traceroute-like tool Xprobe2 followed as an example of a reconnaissance tool for performing operating system identification Next we discussed a denial-of-service attack against Cisco infrastructure and showed why odd protocols may suddenly appear at your doorstep From there we moved to an attempted compromise against a Solaris 8 system We concluded with an exploit against Microsoft RPC services written by ins1der This exploit is similar to many Microsoft exploits seen during the last few years in that it takes advantage of a buffer-overflow condition to spawn a command shell on the target This chapter concentrated on tools, but only to show various traffic xamples The next chapter moves beyond tools to look at the tactics intruders employ to evade and defeat defensive measures There's much more to a successful compromise than blindly running an exploit By having an idea of the methodologies intruders use, we can better tune our monitoring operations. In Visual Studio .NET Using Barcode maker for ASP.NET . In Visual Basic .NET Using Barcode generation for .Related: QR Code Generating C# Data, QR Code Generation VB.NET Image, QR Code Generation Word Image