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This is not a "hacking book" The purpose of this book is to help analysts, engineers, and managers build and improve their NSM operations When trying to analyze traffic, deploy sensors, or plan for the future, it helps to understand some of the tools that adversaries may employ This chapter discusses several tools and exploits representative of various phases of compromise, with the emphasis on the traffic these tools generate This will help you identify when such tools are being used against your system Throughout the book I've tried to avoid covering material published elsewhere I continue that theme in this chapter, where you'll find tools other authors have not discussed Other excellent tools exist, so I refer you to alternate sources, like Anti-Hacker Tool Kit, 2nd ed, by Mike Shema, Brad Johnson, and Keith Jones (New York: McGraw-Hill/Osborne, 2004) I also recommend the latest in the Hacking Exposed series published by McGraw-Hill/Osborne Tools discussed in this chapter are publicly available This lets you try them in your own lab, but remember that familiarity with these applications does not equate to knowledge of cutting-edge reconnaissance and exploitation techniques Many medium-grade and nearly all high-end attackers customize and write their own tools and exploits This chapter is an introduction only and can't hope to reproduce the state-of-the-art, privately written, and closely held tools used by he underground's elite. < Day Day Up >. Encode ANSI/AIM Code 39 In .NET Using Barcode maker for .Related: Create QR Code Java Size, Print QR Code Java Data, Create QR Code VB.NET Size

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Abstract excerpt: "Many Cisco routers and switches support NetFlow services which provides a detailed source of data about network traffic 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 xamples 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".

Abstract excerpt: "This report describes the design and implementation of a real-time intrusion detection expert system (IDES) designed and developed by SRI International IDES is an independent system that monitors the activities of different types of subjects, such as users and remote hosts, of a target system to detect security violations by both insiders and outsiders as they occur IDES adaptively learns subjects' behavior patterns over time and detects behavior that deviates from these patterns IDES also has an expert system component that can be used to encode information about nown system vulnerabilities and intrusion scenarios" Significance: Although this report dates from the five-year point of SRI's intrusion detection research, it is often quoted by other researchers It remains readily available at SRI's Web site and is the earliest such document listed there IDES evolved into the EMERALD project, discussed later in this section IDES combined a statistical user profile approach with a rule-based expert system to characterize intrusions IDES also operated in a real-time manner, unlike earlier works with parsed audit data in batch mode Title: "Towards Detecting Intrusions in a Networked Environment".

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In the next chapter, we'll look at statistical data about network traffic These statistics won't be used to predict activity, as is the case with mathematical probability cases Rather, we'll use statistical tools to get an verview of the sorts of traffic seen by a network probe Just as session data is a step above the detail of full content data, statistical data is a way of moving about session data to understand network activity. Bar Code In VS .NET Using Barcode maker for . ABC Amber CHM Converter Trial version, http://wwwprocesstextcom WBR>abcchmhtml in .NET framework Create Quick Response Code.Related: Generate QR Code VB.NET Image, VB.NET QR Code Generating , Print QR Code ASP.NET Data

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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 between 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 ielding 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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