In-Depth Evaluation of Redirect Tracking and Link Usage
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Spamming Botnets: Signatures and Characteristics
Spamming Botnets: Signatures and Characteristics Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten+,IvanOsipkov+ Microsoft Research, Silicon Valley +Microsoft Corporation {yxie,fangyu,kachan,rina,ghulten,ivano}@microsoft.com ABSTRACT botnet infection and their associated control process [4, 17, 6], little In this paper, we focus on characterizing spamming botnets by effort has been devoted to understanding the aggregate behaviors of leveraging both spam payload and spam server traffic properties. botnets from the perspective of large email servers that are popular Towards this goal, we developed a spam signature generation frame- targets of botnet spam attacks. work called AutoRE to detect botnet-based spam emails and botnet An important goal of this paper is to perform a large scale analy- membership. AutoRE does not require pre-classified training data sis of spamming botnet characteristics and identify trends that can or white lists. Moreover, it outputs high quality regular expression benefit future botnet detection and defense mechanisms. In our signatures that can detect botnet spam with a low false positive rate. analysis, we make use of an email dataset collected from a large Using a three-month sample of emails from Hotmail, AutoRE suc- email service provider, namely, MSN Hotmail. Our study not only cessfully identified 7,721 botnet-based spam campaigns together detects botnet membership across the Internet, but also tracks the with 340,050 unique botnet host IP addresses. sending behavior and the associated email content patterns that are Our in-depth analysis of the identified botnets revealed several directly observable from an email service provider. Information interesting findings regarding the degree of email obfuscation, prop- pertaining to botnet membership can be used to prevent future ne- erties of botnet IP addresses, sending patterns, and their correlation farious activities such as phishing and DDoS attacks. -
IBM Cognos Analytics - Reporting Version 11.1
IBM Cognos Analytics - Reporting Version 11.1 User Guide IBM © Product Information This document applies to IBM Cognos Analytics version 11.1.0 and may also apply to subsequent releases. Copyright Licensed Materials - Property of IBM © Copyright IBM Corp. 2005, 2021. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM, the IBM logo and ibm.com are trademarks or registered trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at " Copyright and trademark information " at www.ibm.com/legal/copytrade.shtml. The following terms are trademarks or registered trademarks of other companies: • Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. • Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. • Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. • Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. • UNIX is a registered trademark of The Open Group in the United States and other countries. • Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates. -
Redirect URL
July 2012 Redirect URL User Guide Welcome to AT&T Website Solutions SM We are focused on providing you the very best web hosting service including all the tools necessary to establish and maintain a successful website. This document contains information that will help you to redirect pages from your site to other locations. You can use it to create a new Domain Redirection as well. © 2012 AT&T Intellectual Property. All rights reserved. AT&T products and services are provided or offered by subsidiaries and affiliates of AT&T Inc. under the AT&T brand and not by AT&T Inc. AT&T, AT&T logo and all other AT&T marks contained herein are trademarks of AT&T Intellectual Property and/or AT&T affiliated companies. All other trademarks are the property of their owners. This document is not an offer, commitment, representation or warranty by AT&T and is subject to change. Your Web Hosting service is subject to the Terms and Conditions (T&Cs), which may be found at http://webhosting.att.com/Terms-Conditions.aspx . Service terms and Fees are subject to change without notice. Please read the T&Cs for additional information. © 2010 AT&T Intellectual Property. All rights re served. AT&T and the AT&T logo are trademarks of AT&T Intellectual Property. Table of ContenContentstststs Introduction ........................................................................................................................................................ 3 Create a New Redirect ................................................................................................................................... -
Detection of Malicious Urls by Correlating the Chains of Redirection in an Online Social Network (Twitter)
International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Volume 1, Issue 3, July 2014, PP 33-38 ISSN 2349-4840 (Print) & ISSN 2349-4859 (Online) www.arcjournals.org Detection of Malicious URLs by Correlating the Chains of Redirection in an Online Social Network (Twitter) 1MD.Sabeeha, SK.Karimullah, 2P.Babu 1PG Schalor,CSE, Quba college of engineering and technology 2, Associate professor, QCET, NELLORE ABSTRACT: Twitter is prone to malicious tweets containing URLs for spam, phishing, and malware distribution. Conventional Twitter spam detection schemes utilize account features such as the ratio of tweets containing URLs and the account creation date, or relation features in the Twitter graph. These detection schemes are ineffective against feature fabrications or consume much time and resources. Conventional suspicious URL detection schemes utilize several features including lexical features of URLs, URL redirection, HTML content, and dynamic behavior. However, evading techniques such as time-based evasion and crawler evasion exist. In this paper, we propose WARNINGBIRD, a suspicious URL detection system for Twitter. Our system investigates correlations of URL redirect chains extracted from several tweets. Because attackers have limited resources and usually reuse them, their URL redirect chains frequently share the same URLs. We develop methods to discover correlated URL redirect chains using the frequently shared URLs and to determine their suspiciousness. We collect numerous tweets from the Twitter public timeline and build a statistical classifier using them. Evaluation results show that our classifier accurately and efficiently detects suspicious URLs. We also present WARNINGBIRD as a near real-time system for classifying suspicious URLs in the Twitter stream. -
OWASP Asia 2008 Rsnake.Pdf
1 Robert Hansen - CEO SecTheory LLC Bespoke Boutique Internet Security Web Application/Browser Security Network/OS Security http://www.sectheory.com/ Advisory capacity to VCs/start-ups Founded the web application security lab http://ha.ckers.org/ - the lab http://sla.ckers.org/ - the forum 2 iHumble I want to explain the history… Only a few know the whole story. Sit back and relax, it’s story time. 3 We’ve all heard these sentiments: “If you find a vulnerability, we ask that you share it with us. If you share it with us, we will respond to you with a time we will fix that hole.” Scott Petry – Director @ Google (We’ll be coming back to this!) 4 It all started four years ago… We found that redirection vulnerabilities were being used by phishers in a number of sites, Visa, Doubleclick, eBay and of course, Google to confuse consumers. Timeframes for fixes: Visa closed their hole down within hours Double Click within days (partially) eBay within weeks Google still hasn’t closed them (~4 years later) Every company agrees it’s a hole. Everyone 5 Word gets out – fast! http://blogs.geekdojo.net/brian/archive/2004/10/14/googlephishing.aspx http://lists.virus.org/dshield-0602/msg00156.html http://blog.eweek.com/blogs/larry_seltzer/archive/2006/03/05/8240.aspx http://thespamdiaries.blogspot.com/2006/03/google-used-as-url-cloaking-device- in.html http://www.docuverse.com/blog/donpark/EntryViewPage.aspx?guid=e08af74b- 8b86-418c-94e0-7d29a7cb91e2 http://email.about.com/od/outlooktips/qt/et043005.htm http://listserv.educause.edu/cgi- bin/wa.exe?A2=ind0511&L=security&T=0&F=&S=&P=15599 http://www.zataz.com/news/13296/google-corrige-une-faille.html http://google.blognewschannel.com/archives/2007/02/22/google-changes-redirects- adds-nofollow-to-blogger/ http://googlesystem.blogspot.com/2007/02/google-redirect-notice.html And others… 6 Everyone has vulns. -
Real-Time Detection System for Suspicious Urls Krishna Prasad Chouty Governors State University
Governors State University OPUS Open Portal to University Scholarship All Capstone Projects Student Capstone Projects Fall 2015 Real-Time Detection System for Suspicious URLs Krishna Prasad Chouty Governors State University Anup Chandra Thogiti Governors State University Kranthi Sudha Vudatha Governors State University Follow this and additional works at: http://opus.govst.edu/capstones Part of the Digital Communications and Networking Commons, and the Information Security Commons Recommended Citation Chouty, Krishna Prasad; Thogiti, Anup Chandra; and Vudatha, Kranthi Sudha, "Real-Time Detection System for Suspicious URLs" (2015). All Capstone Projects. 164. http://opus.govst.edu/capstones/164 For more information about the academic degree, extended learning, and certificate programs of Governors State University, go to http://www.govst.edu/Academics/Degree_Programs_and_Certifications/ Visit the Governors State Computer Science Department This Project Summary is brought to you for free and open access by the Student Capstone Projects at OPUS Open Portal to University Scholarship. It has been accepted for inclusion in All Capstone Projects by an authorized administrator of OPUS Open Portal to University Scholarship. For more information, please contact [email protected]. REAL-TIMEDETECTION SYSTEM FOR SUSPICIOUS URL’S By Krishna Prasad, Chouty B.Tech, JAWAHARLAL NEHURU TECHNOLOGICAL UNIVERSITY, 2012 AnupChandra, Thogiti B.Tech, JAWAHARLAL NEHURU TECHNOLOGICAL UNIVERSITY, 2011 Kranthi Sudha, Vudatha B.Tech, JAWAHARLAL NEHURU TECHNOLOGICAL UNIVERSITY, -
Towards Electronic Persistence Using ARK Identifiers
Towards Electronic Persistence Using ARK Identifiers John A. Kunze California Digital Library University of California, Office of the President, Oakland, CA 94612, USA [email protected] Abstract. The ARK (Archival Resource Key) is the only persistent naming scheme for internet information objects that squarely faces the service issues underlying practical electronic permanence. The ARK is a specially constructed, actionable URL encapsulating a globally unique identity that is independent of the current service provider. Each ARK is by definition bound to three things: (a) object access, (b) object meta- data, and (c) a faceted commitment statement. These service bindings provide the best way for service providers to communicate their varied commitments to objects. It is for these reasons that the California Digital Library is pursuing the use of ARKs. 1 Introduction Web users know the irritation of broken URLs [2]. Returning to a web address only to find the desired object missing is more than an irritation for scholars and catalogers, whose trades rely on persistent reference. If there is one thing that distinguishes a digital library from a mere web site, it is that libraries do their best to provide reliable, persistent access through durable links. To that end much discussion and development activity has focused on persistent identifiers, in other words, on links that continue to provide access into the indefinite fu- ture. The popular vision of ubiquitous, technologically-hardened identifiers has a deceptively simple problem statement: 1. The goal: long-term identifiers. 2. The problem: URLs break. 3. Why URLs break: because objects are moved, removed, and replaced. -
Download Forecheck Guide
Forecheck Content 1 Welcome & Introduction 5 2 Overview: What Forecheck Can Do 6 3 First Steps 7 4 Projects and Analyses 9 5 Scheduler and Queue 12 6 Important Details 13 6.1 La..n..g..u..a..g..e..s.,. .C...h..a..r.a..c..t.e..r. .S..e..t.s.. .a..n..d.. .U..n..i.c..o..d..e....................................................................... 13 6.2 Ch..o..o..s..i.n..g.. .t.h..e.. .c.o..r..r.e..c..t. .F..o..n..t............................................................................................. 14 6.3 St.o..r.a..g..e.. .L..o..c..a..t.i.o..n.. .o..f. .D..a..t.a................................................................................................ 15 6.4 Fo..r.e..c..h..e..c..k. .U...s.e..r.-.A...g..e..n..t. .a..n..d.. .W...e..b.. .A..n..a..l.y..s.i.s.. .T..o..o..l.s............................................................. 15 6.5 Er.r.o..r.. .H..a..n..d..l.i.n..g................................................................................................................ 17 6.6 Ro..b..o..t.s...t.x..t.,. .n..o..i.n..d..e..x..,. .n..o..f.o..l.l.o..w......................................................................................... 18 6.7 Co..m...p..l.e..t.e.. .A..n..a..l.y..s..i.s. .o..f. .l.a..r.g..e.. .W....e..b..s.i.t.e..s............................................................................. 20 6.8 Fi.n..d..i.n..g.. .a..l.l. .p..a..g..e..s. .o..f. .a.. .W....e..b..s.i.t.e....................................................................................... 21 6.9 Go..o..g..l.e.. .A...n..a..l.y.t.i.c..s. -
How to Download Youtube Videos in Chrome Browser How to Download Youtube Videos in Chrome
how to download youtube videos in chrome browser How to Download YouTube Videos in Chrome. This article was co-authored by Luigi Oppido. Luigi Oppido is the Owner and Operator of Pleasure Point Computers in Santa Cruz, California. Luigi has over 25 years of experience in general computer repair, data recovery, virus removal, and upgrades. He is also the host of the Computer Man Show! broadcasted on KSQD covering central California for over two years. The wikiHow Tech Team also followed the article's instructions and verified that they work. This article has been viewed 1,512,289 times. This wikiHow teaches you how to download a YouTube video onto your computer from within the Google Chrome web browser. Your best bet for downloading HD videos without ads or restrictions is using 4K Video Downloader on your computer, but you can still use a handful of websites to download videos in Google Chrome. Keep in mind that most YouTube download sites are ad-sponsored, and they won't be able to download copyright-protected videos; most YouTube download sites also can't download videos in 1080p. Since downloading YouTube videos violates Google's terms and conditions, Chrome extensions that purport to do this usually don't work. Easy Google Chrome YouTube Downloader Add-on (2021 Update) Add-on for Google Chrome can help the user to download videos from the Internet with one click, instead of having to access a new website or installing software. These Add-ons help to download videos from Google Chrome, being able to download videos from Facebook, Twitter, YouTube, Instagram, DailyMotion and many other sites easily. -
Lxmldoc-4.5.0.Pdf
lxml 2020-01-29 Contents Contents 2 I lxml 14 1 lxml 15 Introduction................................................. 15 Documentation............................................... 15 Download.................................................. 16 Mailing list................................................. 17 Bug tracker................................................. 17 License................................................... 17 Old Versions................................................. 17 2 Why lxml? 18 Motto.................................................... 18 Aims..................................................... 18 3 Installing lxml 20 Where to get it................................................ 20 Requirements................................................ 20 Installation................................................. 21 MS Windows............................................. 21 Linux................................................. 21 MacOS-X............................................... 21 Building lxml from dev sources....................................... 22 Using lxml with python-libxml2...................................... 22 Source builds on MS Windows....................................... 22 Source builds on MacOS-X......................................... 22 4 Benchmarks and Speed 23 General notes................................................ 23 How to read the timings........................................... 24 Parsing and Serialising........................................... 24 The ElementTree -
CSE 190 M (Web Programming), Spring 2008 University of Washington
Extra Slides, week 2 CSE 190 M (Web Programming), Spring 2008 University of Washington Reading: Chapter 2, sections 2.4 - 2.6 Except where otherwise noted, the contents of this presentation are © Copyright 2008 Marty Stepp and Jessica Miller and are licensed under the Creative Commons Attribution 2.5 License. Additional XHTML Tags for adding metadata and icons to a page Web page metadata: <meta> information about your page (for a browser, search engine, etc.) <meta name="description" content="Authors' web site for Building Java Programs." /> <meta name="keywords" content="java, textbook" /> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" /> placed in the head of your XHTML page meta tags often have both the name and content attributes some meta tags use the http-equiv attribute instead of name meta element to aid browser / web server <meta http-equiv="Content-Type" content=" type of document (character encoding)" /> <meta http-equiv="refresh" content=" how often to refresh the page (seconds)" /> </head> using the Content-Type gets rid of the W3C "tentatively valid" warning <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" /> the meta refresh tag can also redirect from one page to another: <meta http-equiv="refresh" content="5;url=http://www.bjp.com " /> why would we want to do this? (example ) meta element to describe the page <head> <meta name="author" content=" web page's author " /> <meta name="revised" content=" web page version and/or last modification date " /> <meta name="generator" -
Click-Tracking Blocker: Privacy Preservation by Disabling Search Engines’ Click-Tracking
Click-Tracking Blocker: Privacy Preservation by Disabling Search Engines’ Click-Tracking Roberto Alberdeston, Erich Dondyk, Cliff C. Zou Computer Science Division Department of Electrical Engineering and Computer Science University of Central Florida Orlando, FL 32816 USA Abstract—On a search engine result page, if a user clicks on any between websites with or without an explicit agreement to one of those contained URL links, whether it is a search result exchange links [3]. On SERPs, they are the search result website (called organic link), or a search related advertisement website URL links satisfying what the user wants to search link (called sponsored link), the user’s click action will be tracked through a search engine. Organic links appear in the SERPs in by returning back to the search engine first and then redirecting the order according to the search engine's long term ranking to the corresponding target website. This click-tracking is algorithms. “Sponsored links” point to advertisement websites conducted by all three major search engines: Google, Bing, and Yahoo (although Bing does not track clicks on organic links). and they generate income for a search engine every time Many people are not aware that their clicks are tracked by someone clicks them and search engine is paid from that click. search companies; and this click-tracking imposes a big privacy Organic and sponsored links of Google’s SERPs are threat for privacy-concerned users. illustrated in Figure 1, which is the search result page for the After discovering that all organic and sponsored links in a search engine result page actually encode the real URLs of target search term “computer desk”.