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Unified, Easy-To-Manage Endpoint Security
Unified, Easy-to-Manage Endpoint Security Microsoft® Forefront™ Protect Business Continuity with Improved Management Client Security protects of Endpoint Security laptops, desktops, and file The release of the next generation of on Windows firewall activities. The agent servers with integrated Forefront client security protects business incorporates proven technologies already protection against laptops, desktops, and file servers against in use on millions of computers worldwide malware. It simplifies viruses, spyware, rootkits, and other and is backed by efficient and effective control of endpoint malware. The solution includes: threat response from the Microsoft security and provides n A single agent that provides antivirus Malware Protection Center. better visibility into the and antispyware protection, vulnerability Forefront Client Security is designed to overall protection of the assessment and remediation, and host simplify administration and save valuable environment. Defenses firewall management. time through its single management are easily managed from n A central management server that console and policy configuration, the Microsoft Forefront enables administrators to configure, central update infrastructure, and Management Console update, and report on agent activity automated endpoint discovery. It also code-named “Stirling.” across the enterprise. integrates with existing investments in Microsoft technologies. The two components work together to www.microsoft.com/ provide unmatched visibility and control To reduce risk, -
A the Hacker
A The Hacker Madame Curie once said “En science, nous devons nous int´eresser aux choses, non aux personnes [In science, we should be interested in things, not in people].” Things, however, have since changed, and today we have to be interested not just in the facts of computer security and crime, but in the people who perpetrate these acts. Hence this discussion of hackers. Over the centuries, the term “hacker” has referred to various activities. We are familiar with usages such as “a carpenter hacking wood with an ax” and “a butcher hacking meat with a cleaver,” but it seems that the modern, computer-related form of this term originated in the many pranks and practi- cal jokes perpetrated by students at MIT in the 1960s. As an example of the many meanings assigned to this term, see [Schneier 04] which, among much other information, explains why Galileo was a hacker but Aristotle wasn’t. A hack is a person lacking talent or ability, as in a “hack writer.” Hack as a verb is used in contexts such as “hack the media,” “hack your brain,” and “hack your reputation.” Recently, it has also come to mean either a kludge, or the opposite of a kludge, as in a clever or elegant solution to a difficult problem. A hack also means a simple but often inelegant solution or technique. The following tentative definitions are quoted from the jargon file ([jargon 04], edited by Eric S. Raymond): 1. A person who enjoys exploring the details of programmable systems and how to stretch their capabilities, as opposed to most users, who prefer to learn only the minimum necessary. -
Botection: Bot Detection by Building Markov Chain Models of Bots Network Behavior Bushra A
BOTection: Bot Detection by Building Markov Chain Models of Bots Network Behavior Bushra A. Alahmadi Enrico Mariconti Riccardo Spolaor University of Oxford, UK University College London, UK University of Oxford, UK [email protected] [email protected] [email protected] Gianluca Stringhini Ivan Martinovic Boston University, USA University of Oxford, UK [email protected] [email protected] ABSTRACT through DDoS (e.g. DDoS on Estonia [22]), email spam (e.g. Geodo), Botnets continue to be a threat to organizations, thus various ma- ClickFraud (e.g. ClickBot), and spreading malware (e.g. Zeus). 10,263 chine learning-based botnet detectors have been proposed. How- malware botnet controllers (C&C) were blocked by Spamhaus Mal- ever, the capability of such systems in detecting new or unseen ware Labs in 2018 alone, an 8% increase from the number of botnet 1 botnets is crucial to ensure its robustness against the rapid evo- C&Cs seen in 2017. Cybercriminals are actively monetizing bot- lution of botnets. Moreover, it prolongs the effectiveness of the nets to launch attacks, which are evolving significantly and require system in detecting bots, avoiding frequent and time-consuming more effective detection mechanisms capable of detecting those classifier re-training. We present BOTection, a privacy-preserving which are new or unseen. bot detection system that models the bot network flow behavior Botnets rely heavily on network communications to infect new as a Markov Chain. The Markov Chains state transitions capture victims (propagation), to communicate with the C&C server, or the bots’ network behavior using high-level flow features as states, to perform their operational task (e.g. -
Internet Security Threat Report Volume 24 | February 2019
ISTRInternet Security Threat Report Volume 24 | February 2019 THE DOCUMENT IS PROVIDED “AS IS” AND ALL EXPRESS OR IMPLIED CONDITIONS, REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE DISCLAIMED, EXCEPT TO THE EXTENT THAT SUCH DISCLAIMERS ARE HELD TO BE LEGALLY INVALID. SYMANTEC CORPORATION SHALL NOT BE LIABLE FOR INCIDENTAL OR CONSEQUENTIAL DAMAGES IN CONNECTION WITH THE FURNISHING, PERFORMANCE, OR USE OF THIS DOCUMENT. THE INFORMATION CONTAINED IN THIS DOCUMENT IS SUBJECT TO CHANGE WITHOUT NOTICE. INFORMATION OBTAINED FROM THIRD PARTY SOURCES IS BELIEVED TO BE RELIABLE, BUT IS IN NO WAY GUARANTEED. SECURITY PRODUCTS, TECHNICAL SERVICES, AND ANY OTHER TECHNICAL DATA REFERENCED IN THIS DOCUMENT (“CONTROLLED ITEMS”) ARE SUBJECT TO U.S. EXPORT CONTROL AND SANCTIONS LAWS, REGULATIONS AND REQUIREMENTS, AND MAY BE SUBJECT TO EXPORT OR IMPORT REGULATIONS IN OTHER COUNTRIES. YOU AGREE TO COMPLY STRICTLY WITH THESE LAWS, REGULATIONS AND REQUIREMENTS, AND ACKNOWLEDGE THAT YOU HAVE THE RESPONSIBILITY TO OBTAIN ANY LICENSES, PERMITS OR OTHER APPROVALS THAT MAY BE REQUIRED IN ORDER FOR YOU TO EXPORT, RE-EXPORT, TRANSFER IN COUNTRY OR IMPORT SUCH CONTROLLED ITEMS. TABLE OF CONTENTS 1 2 3 BIG NUMBERS YEAR-IN-REVIEW FACTS AND FIGURES METHODOLOGY Formjacking Messaging Cryptojacking Malware Ransomware Mobile Living off the land Web attacks and supply chain attacks Targeted attacks Targeted attacks IoT Cloud Underground economy IoT Election interference MALICIOUS -
Undergraduate Report
UNDERGRADUATE REPORT Attack Evolution: Identifying Attack Evolution Characteristics to Predict Future Attacks by MaryTheresa Monahan-Pendergast Advisor: UG 2006-6 IINSTITUTE FOR SYSTEMSR RESEARCH ISR develops, applies and teaches advanced methodologies of design and analysis to solve complex, hierarchical, heterogeneous and dynamic problems of engineering technology and systems for industry and government. ISR is a permanent institute of the University of Maryland, within the Glenn L. Martin Institute of Technol- ogy/A. James Clark School of Engineering. It is a National Science Foundation Engineering Research Center. Web site http://www.isr.umd.edu Attack Evolution 1 Attack Evolution: Identifying Attack Evolution Characteristics To Predict Future Attacks MaryTheresa Monahan-Pendergast Dr. Michel Cukier Dr. Linda C. Schmidt Dr. Paige Smith Institute of Systems Research University of Maryland Attack Evolution 2 ABSTRACT Several approaches can be considered to predict the evolution of computer security attacks, such as statistical approaches and “Red Teams.” This research proposes a third and completely novel approach for predicting the evolution of an attack threat. Our goal is to move from the destructive nature and malicious intent associated with an attack to the root of what an attack creation is: having successfully solved a complex problem. By approaching attacks from the perspective of the creator, we will chart the way in which attacks are developed over time and attempt to extract evolutionary patterns. These patterns will eventually -
2015 Threat Report Provides a Comprehensive Overview of the Cyber Threat Landscape Facing Both Companies and Individuals
THREAT REPORT 2015 AT A GLANCE 2015 HIGHLIGHTS A few of the major events in 2015 concerning security issues. 08 07/15: Hacking Team 07/15: Bugs prompt 02/15: Europol joint breached, data Ford, Range Rover, 08/15: Google patches op takes down Ramnit released online Prius, Chrysler recalls Android Stagefright botnet flaw 09/15: XcodeGhost 07/15: Android 07/15: FBI Darkode tainted apps prompts Stagefright flaw 08/15: Amazon, ENFORCEMENT bazaar shutdown ATTACKS AppStore cleanup VULNERABILITY reported SECURITYPRODUCT Chrome drop Flash ads TOP MALWARE BREACHING THE MEET THE DUKES FAMILIES WALLED GARDEN The Dukes are a well- 12 18 resourced, highly 20 Njw0rm was the most In late 2015, the Apple App prominent new malware family in 2015. Store saw a string of incidents where dedicated and organized developers had used compromised tools cyberespionage group believed to be to unwittingly create apps with malicious working for the Russian Federation since behavior. The apps were able to bypass at least 2008 to collect intelligence in Njw0rm Apple’s review procedures to gain entry support of foreign and security policy decision-making. Angler into the store, and from there into an ordinary user’s iOS device. Gamarue THE CHAIN OF THE CHAIN OF Dorkbot COMPROMISE COMPROMISE: 23 The Stages 28 The Chain of Compromise Nuclear is a user-centric model that illustrates Kilim how cyber attacks combine different Ippedo techniques and resources to compromise Dridex devices and networks. It is defined by 4 main phases: Inception, Intrusion, WormLink Infection, and Invasion. INCEPTION Redirectors wreak havoc on US, Europe (p.28) INTRUSION AnglerEK dominates Flash (p.29) INFECTION The rise of rypto-ransomware (p.31) THREATS BY REGION Europe was particularly affected by the Angler exploit kit. -
VB100 Certification Report February 2020
FEBRUARY 2020 Covering the global threat landscape VB100 CERTIFICATION REPORT For full details, we refer to the VB100 methodology on the Virus Bulletin website: https://www.virusbulletin.com/testing/ FEBRUARY 2020 vb100/vb100-methodology/vb100-methodology-ver1-1/. This VB Test Team test used version 1.1 of the VB100 methodology. The VB100 award remains as relevant now as it was at its inception 22 years ago – providing a stamp of quality DIVERSITY TEST and competence for anti-malware products that satisfy a The malware part of the VB100 certifi cation uses the minimum standard of detecting malicious executables that WildList, a regularly updated list of extremely well-vetted have recently been seen in the wild, while blocking few to malware samples, guaranteed to have been spotted in the no legitimate programs. wild multiple times. This makes them very suitable for a certifi cation test like VB100. This report details the VB100 certifi cation results of 40 such products from 36 different vendors during January and The ‘Diversity Test’ looks at products’ detection of February 2020. another set of recent malware samples, to acknowledge the fact that products detect malware samples beyond a standard set of samples, and provides a measure of that THE VB100 SET-UP detection. In the VB100 test, a copy of the product to be tested is installed on two platforms: Windows 10 and Windows 7. PRODUCTS & RESULTS On each platform, and at three different times in the test, Products were allowed to download updates during the the product is asked to scan both the latest version of course of the test. -
1.Computer Virus Reported (1) Summary for This Quarter
Attachment 1 1.Computer Virus Reported (1) Summary for this Quarter The number of the cases reported for viruses*1 in the first quarter of 2013 decreased from that of the fourth quarter of 2012 (See Figure 1-1). As for the number of the viruses detected*2 in the first quarter of 2013, W32/Mydoom accounted for three-fourths of the total (See Figure 1-2). Compared to the fourth quarter of 2012, however, both W32/Mydoom and W32/Netsky showed a decreasing trend. When we looked into the cases reported for W32/Netsky, we found that in most of those cases, the virus code had been corrupted, for which the virus was unable to carry out its infection activity. So, it is unlikely that the number of cases involving this virus will increase significantly in the future As for W32/IRCbot, it has greatly decreased from the level of the fourth quarter of 2012. W32/IRCbot carries out infection activities by exploiting vulnerabilities within Windows or programs, and is often used as a foothold for carrying out "Targeted Attack". It is likely that that there has been a shift to attacks not using this virus. XM/Mailcab is a mass-mailing type virus that exploits mailer's address book and distributes copies of itself. By carelessly opening this type of email attachment, the user's computer is infected and if the number of such users increases, so will the number of the cases reported. As for the number of the malicious programs detected in the first quarter of 2013, Bancos, which steals IDs/Passwords for Internet banking, Backdoor, which sets up a back door on the target PC, and Webkit, which guides Internet users to a maliciously-crafted Website to infect with another virus, were detected in large numbers. -
A Simple Malware Test Environment
International Journal of Computer and Information Technology (ISSN: 2279 – 0764) Volume 02– Issue 04, July 2013 A Simple Malware Test Environment Sam Lundie and Daniel Rolf School of Computing and Information Systems University of Tasmania Launceston, Tasmania, Australia e-mail: {slundie, Daniel.Rolf} @utas.edu.au Abstract— Malware does not need to compromise the operating not-present fraud increased by 38% for the calendar year system kernel in order to provide an untrustworthy browsing 2010, with 35.6 cents in every $1,000 dollars falling victim experience for the user. This paper describes a simple, virtual to fraud [1]. However, similar figures for fraud perpetrated machine-based, malware test environment built using freeware against Online Banking are much harder to obtain as banks and open source software. The system was designed to allow are seemingly reluctant to divulge loss figures. The the high-level behaviour of a piece of malware to be studied quickly and conveniently by monitoring network, process and Symantec Corporation has claimed that cybercrime has file activity. The system proved effective when trialled against surpassed illegal drug trafficking as a criminal money- different samples of the well-known malware Zeus and was maker [2]. verified further by tests conducted with the commercially available anti-malware products PC-Tools and Trusteer. It has been estimated that Zeus is guilty of approximately Although tests were conducted with variants of the Zeus 44% of all banking malware infections [3]. In August 2009 malware, the techniques discussed in this paper are equally Gunter Ollmann the VP for research at Damaballa [4] applicable to any other malware and can be used to quickly positioned the Zeus malware as the number one botnet assess the effectiveness of potential anti-malware solutions. -
CONTENTS in THIS ISSUE Fighting Malware and Spam
MARCH 2008 Fighting malware and spam CONTENTS IN THIS ISSUE 2 COMMENT EVASIVE ACTION Home (page) renovations Pandex has attracted very little attention from the media and generated little 3 NEWS discussion between malware Botherders herded researchers and among the 29A folds general populace. Chandra Prakash and Adam Thomas provide an overview of the Pandex operation and take an in-depth look at VIRUS PREVALENCE TABLE 3 the underlying code that has allowed this malware to evade detection for so long. 4 MALWARE ANALYSIS page 4 Pandex: the botnet that could PACKING A PUNCH In the fi nal part of the series on exepacker 9 FEATURE blacklisting, Robert Neumann takes a look at how all the processing and analysis techniques are put Exepacker blacklisting part 3 into practice in a real-life situation. page 9 15 CONFERENCE REPORT AVG TURNS 8 Black Hat DC and CCC 24C3 John Hawes gets his hands on a preview version of the latest offering from AVG. 18 PRODUCT REVIEW page 18 AVG Internet Security 8 22 END NOTES & NEWS This month: anti-spam news and events, and Ken Simpson considers the implications of rising spam volume despite increasing accuracy of content fi lters. ISSN 1749-7027 COMMENT ‘It is hoped that within all sizes of business. It is hoped that the comment facility will promote discussion among visitors and that the comment facility in some cases the more knowledgeable of VB’s readers will promote will be able to guide and assist those less well versed in discussion among the complexities of anti-malware technologies. -
Classification of Malware Persistence Mechanisms Using Low-Artifact Disk
CLASSIFICATION OF MALWARE PERSISTENCE MECHANISMS USING LOW-ARTIFACT DISK INSTRUMENTATION A Dissertation Presented by Jennifer Mankin to The Department of Electrical and Computer Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering in the field of Computer Engineering Northeastern University Boston, Massachusetts September 2013 Abstract The proliferation of malware in recent years has motivated the need for tools to an- alyze, classify, and understand intrusions. Current research in analyzing malware focuses either on labeling malware by its maliciousness (e.g., malicious or benign) or classifying it by the variant it belongs to. We argue that, in addition to provid- ing coarse family labels, it is useful to label malware by the capabilities they em- ploy. Capabilities can include keystroke logging, downloading a file from the internet, modifying the Master Boot Record, and trojanizing a system binary. Unfortunately, labeling malware by capability requires a descriptive, high-integrity trace of malware behavior, which is challenging given the complex stealth techniques that malware employ in order to evade analysis and detection. In this thesis, we present Dione, a flexible rule-based disk I/O monitoring and analysis infrastructure. Dione interposes between a system-under-analysis and its hard disk, intercepting disk accesses and re- constructing high-level file system and registry changes as they occur. We evaluate the accuracy and performance of Dione, and show that it can achieve 100% accuracy in reconstructing file system operations, with a performance penalty less than 2% in many cases. ii Given the trustworthy behavioral traces obtained by Dione, we convert file system- level events to high-level capabilities. -
Hostscan 4.8.01064 Antimalware and Firewall Support Charts
HostScan 4.8.01064 Antimalware and Firewall Support Charts 10/1/19 © 2019 Cisco and/or its affiliates. All rights reserved. This document is Cisco public. Page 1 of 76 Contents HostScan Version 4.8.01064 Antimalware and Firewall Support Charts ............................................................................... 3 Antimalware and Firewall Attributes Supported by HostScan .................................................................................................. 3 OPSWAT Version Information ................................................................................................................................................. 5 Cisco AnyConnect HostScan Antimalware Compliance Module v4.3.890.0 for Windows .................................................. 5 Cisco AnyConnect HostScan Firewall Compliance Module v4.3.890.0 for Windows ........................................................ 44 Cisco AnyConnect HostScan Antimalware Compliance Module v4.3.824.0 for macos .................................................... 65 Cisco AnyConnect HostScan Firewall Compliance Module v4.3.824.0 for macOS ........................................................... 71 Cisco AnyConnect HostScan Antimalware Compliance Module v4.3.730.0 for Linux ...................................................... 73 Cisco AnyConnect HostScan Firewall Compliance Module v4.3.730.0 for Linux .............................................................. 76 ©201 9 Cisco and/or its affiliates. All rights reserved. This document is Cisco Public.