Open Source Intrusion Detection Tools
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Integrity Checking of Operating Systems with Respect to Kernel Level Malware”
To Bianca, for being who you are. Abstract Kernel-mode rootkits have gained a considerable momentum within the blackhat com- munity. They represent a considerable threat to any computer system, as they pro- vide an intruder with the ability to hide the presence of his malicious activity. These rootkits make changes to the operating system’s kernel, thereby providing particularly stealthy hiding techniques. Considering the kernel rootkit threat and other threats, the collection of reliable information from a compromised system becomes a central problem within the domain of computer security. This thesis addresses this problem. It looks at the possibility of using virtualization as a means to facilitate kernel-mode rootkit detection through integrity checking. The thesis describes several areas within the Linux kernel, which are commonly subverted by kernel-mode rootkits. It introduces the reader to the concept of virtual- ization and describes several technologies employing virtualization. The kernel-mode rootkit threat is then addressed through a description of their hiding methodologies. Some of the existing methods for malware detection are also addressed and analysed. A number of general requirements, which need to be satisfied by a general model enabling kernel-mode rootkit detection, are identified. A model addressing these requirements is suggested, and a framework implementing the model is set-up. The detection capabilities of the framework are tested on a couple of rootkits. iii Preface This report presents the results of my master thesis “Integrity checking of operating systems with respect to kernel level malware”. It is written as part of the Master de- gree (Sivilingeniør) in Computer Science at the Norwegian University of Science and Technology (NTNU), during Spring 2005. -
The Science DMZ
The Science DMZ Brian Tierney, Eli Dart, Eric Pouyoul, Jason Zurawski ESnet Supporting Data-Intensive Research Workshop QuestNet 2013 Gold Coast, Australia July 2, 2013 What’s there to worry about? © Owen Humphreys/National Geographic Traveler Photo Contest 2013 7/2/13 2 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science The Science DMZ in 1 Slide Consists of three key components, all required: “Friction free” network path • Highly capable network devices (wire-speed, deep queues) • Virtual circuit connectivity option • Security policy and enforcement specific to science workflows • Located at or near site perimeter if possible Dedicated, high-performance Data Transfer Nodes (DTNs) • Hardware, operating system, libraries all optimized for transfer • Includes optimized data transfer tools such as Globus Online and GridFTP Performance measurement/test node • perfSONAR Details at http://fasterdata.es.net/science-dmz/ Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science Overview Part 1: • What is ESnet? • Science DMZ Motivation • Science DMZ Architecture Part 2: • PerfSONAR • The Data Transfer Node • Data Transfer Tools Part 3: • Science DMZ Security Best Practices • Conclusions Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science The Energy Sciences Network (ESnet) A Department of Energy Facility Naonal Fiber footprint Distributed Team of 35 Science Data Network Internaonal Collaboraons Mul3ple 10G waves 5 Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science ESnetSC Supports Supports Research DOE at More Office than 300 of Institutions Science Across the U.S. Universities DOE laboratories The Office of Science supports: 27,000 Ph.D.s, graduate students, undergraduates, engineers, and technicians 26,000 users of open-access facilities 300 leading academic institutions 17 DOE laboratories 6 Lawrence Berkeley National Laboratory U.S. -
Intrusion Detection Systems (IDS)
Intrusion Detection Systems (IDS) Adli Wahid Role of Detection in Security • Part of security monitoring o Violation of security policies o Indicators of compromise o Threat drive or Vulnerability driven o What’s happening on the network? • Rules o Detection is based on rules • Action • What do we do when detection happens? • Alert and Investigate • Drop / Block Perspective – Adversary Tactics and Techniques • Mitre Att&ck Framework https://attack.mitre.org • Tactics – what are the goals of the adversary? • Technique – how do they do it? • SubJect to: o Resources o Platforms • Can we used this knowledge for detection? o Observe Adversaries Behaviour o Techniques, Tactics and Procedures (TTPs) o Deploy in prevention, detection, response Your Adversaries Motives Infrastructure Targets Behaviour Your Assets Your Systems Reference: https://published-prd.lanyonevents.com/published/rsaus19/sessionsFiles/13884/AIR-T07-ATT%26CK-in-Practice-A-Primer-to-Improve-Your-Cyber-Defense-FINAL.pdf Reference: https://published-prd.lanyonevents.com/published/rsaus19/sessionsFiles/13884/AIR-T07-ATT%26CK-in-Practice-A-Primer-to-Improve-Your-Cyber-Defense-FINAL.pdf Making Your Infrastructure Forensics Ready • Detecting known or potentially malicious activities • Part of the incident response plan • If your infrastructure is compromised o Can you answer the questions: what happened and since when? o Can we ‘go back in time’ and how far back? • What information you you need to collect and secure? • Centralized logging Intrusion Detection Systems • An intrusion -
The Samhain Host Integrity Monitoring System the Samhain Host Integrity Monitoring System This Is Version 2.4.3 of the Samhain Manual
The Samhain Host Integrity Monitoring System The Samhain Host Integrity Monitoring System This is version 2.4.3 of the Samhain manual. Copyright © 2002-2019 Rainer Wichmann Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. You may obtain a copy of the GNU Free Documentation Licensefrom the Free Software Foundation by visiting their Web site or by writing to: Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. This manual refers to version 4.4.0 of Samhain. Table of Contents 1. Introduction .............................................................................................................. 1 1. Backward compatibility ...................................................................................... 1 2. Compiling and installing ............................................................................................. 2 1. Overview ......................................................................................................... 2 2. Requirements .................................................................................................... 3 3. Download and extract ......................................................................................... 3 4. Configuring the source ...................................................................................... -
BSD UNIX Toolbox 1000+ Commands for Freebsd, Openbsd
76034ffirs.qxd:Toolbox 4/2/08 12:50 PM Page iii BSD UNIX® TOOLBOX 1000+ Commands for FreeBSD®, OpenBSD, and NetBSD®Power Users Christopher Negus François Caen 76034ffirs.qxd:Toolbox 4/2/08 12:50 PM Page ii 76034ffirs.qxd:Toolbox 4/2/08 12:50 PM Page i BSD UNIX® TOOLBOX 76034ffirs.qxd:Toolbox 4/2/08 12:50 PM Page ii 76034ffirs.qxd:Toolbox 4/2/08 12:50 PM Page iii BSD UNIX® TOOLBOX 1000+ Commands for FreeBSD®, OpenBSD, and NetBSD®Power Users Christopher Negus François Caen 76034ffirs.qxd:Toolbox 4/2/08 12:50 PM Page iv BSD UNIX® Toolbox: 1000+ Commands for FreeBSD®, OpenBSD, and NetBSD® Power Users Published by Wiley Publishing, Inc. 10475 Crosspoint Boulevard Indianapolis, IN 46256 www.wiley.com Copyright © 2008 by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada ISBN: 978-0-470-37603-4 Manufactured in the United States of America 10 9 8 7 6 5 4 3 2 1 Library of Congress Cataloging-in-Publication Data is available from the publisher. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permis- sion should be addressed to the Legal Department, Wiley Publishing, Inc., 10475 Crosspoint Blvd., Indianapolis, IN 46256, (317) 572-3447, fax (317) 572-4355, or online at http://www.wiley.com/go/permissions. -
Hodetector: the Hidden Objects Detection Based on Static Semantic Information Library Outside Virtual Machine 1393
HODetector: The Hidden Objects Detection Based on Static Semantic Information Library Outside Virtual Machine 1393 HODetector: The Hidden Objects Detection Based on Static Semantic Information Library Outside Virtual Machine YongGang Li1, 2, ChaoYuan Cui1, BingYu Sun1, WenBo Li3* 1 Institute of Intelligent Machine, Chinese Academy of Sciences, China 2 School of Information Science and Technology, University of Science and Technology of China, China 3 Institute of Technology Innovation, Chinese Academy of Sciences, China [email protected], {cycui, bysun, wbli}@iim.ac.cn Abstract objects for virtual machine security. For virtualization security, the traditional secure With the spread of malwares, the security of virtual tools detecting malwares are placed into the guest VM machine (VM) is suffering severe challenges recent years. (GVM) that may be injected by computer viruses. So, Rootkits and their variants can hide themselves and other it’s possible that the secure tool will be bypassed or kernel objects such as processes, files, and modules cheated. For example, a rootkit named f00lkit can making malicious activity hard to be detected. The bypass Chkrootkit and Rkhunter, the most popular anti- existed solutions are either coarse-grained, monitoring at malwares tools in Linux. Compared with the traditional virtual machine level, or non-universal, only supporting method, one mechanism called out-of-box [3] detecting specific operating system with specific modification. In malwares out of VM is a better way, because the this paper, we propose a fine-grained approach called secure tool is outside any span of malwares. Then HODetector based on static semantic information library another problem appears: semantic gap [4]. -
Cloaker: Hardware Supported Rootkit Concealment
Cloaker: Hardware Supported Rootkit Concealment Francis M. David, Ellick M. Chan, Jeffrey C. Carlyle, Roy H. Campbell Department of Computer Science University of Illinois at Urbana-Champaign 201 N Goodwin Ave, Urbana, IL 61801 {fdavid,emchan,jcarlyle,rhc}@uiuc.edu Abstract signers resorted to more complex techniques such as modi- fying boot sectors [33, 51] and manipulating the in-memory Rootkits are used by malicious attackers who desire to image of the kernel. These rootkits are susceptible to de- run software on a compromised machine without being de- tection by tools that check kernel code and data for alter- tected. They have become stealthier over the years as a ation [43, 13, 42, 21]. Rootkits that modify the system consequence of the ongoing struggle between attackers and BIOS or device firmware [25, 26] can also be detected by system defenders. In order to explore the next step in rootkit integrity checking tools. More recently, virtualization tech- evolution and to build strong defenses, we look at this issue nology has been studied as yet another means to conceal from the point of view of an attacker. We construct Cloaker, rootkits [31, 44]. These rootkits remain hidden by running a proof-of-concept rootkit for the ARM platform that is non- the host OS in a virtual machine environment. To counter persistent and only relies on hardware state modifications the threat from these Virtual Machine Based Rootkits (VM- for concealment and operation. A primary goal in the de- BRs), researchers have detailed approaches to detect if code sign of Cloaker is to not alter any part of the host oper- is executing inside a virtual machine [20]. -
A Brief Study and Comparison Of, Open Source Intrusion Detection System Tools
International Journal of Advanced Computational Engineering and Networking, ISSN: 2320-2106, Volume-1, Issue-10, Dec-2013 A BRIEF STUDY AND COMPARISON OF, OPEN SOURCE INTRUSION DETECTION SYSTEM TOOLS 1SURYA BHAGAVAN AMBATI, 2DEEPTI VIDYARTHI 1,2Defence Institute of Advanced Technology (DU) Pune –411025 Email: [email protected], [email protected] Abstract - As the world becomes more connected to the cyber world, attackers and hackers are becoming increasingly sophisticated to penetrate computer systems and networks. Intrusion Detection System (IDS) plays a vital role in defending a network against intrusion. Many commercial IDSs are available in marketplace but with high cost. At the same time open source IDSs are also available with continuous support and upgradation from large user community. Each of these IDSs adopts a different approaches thus may target different applications. This paper provides a quick review of six Open Source IDS tools so that one can choose the appropriate Open Source IDS tool as per their organization requirements. Keywords - Intrusion Detection, Open Source IDS, Network Securit, HIDS, NIDS. I. INTRODUCTION concentrate on the activities in a host without considering the activities in the computer networks. Every day, intruders are invading countless homes On the other hand, NIDS put its focus on computer and organisations across the country via virus, networks without examining the hosts’ activities. worms, Trojans, DoS/DDoS attacks by inserting bits Intrusion Detection methodologies can be classified of malicious code. Intrusion detection system tools as Signature based detection, Anomaly based helps in protecting computer and network from a detection and Stateful Protocol analysis based numerous threats and attacks. -
Ten Strategies of a World-Class Cybersecurity Operations Center Conveys MITRE’S Expertise on Accumulated Expertise on Enterprise-Grade Computer Network Defense
Bleed rule--remove from file Bleed rule--remove from file MITRE’s accumulated Ten Strategies of a World-Class Cybersecurity Operations Center conveys MITRE’s expertise on accumulated expertise on enterprise-grade computer network defense. It covers ten key qualities enterprise- grade of leading Cybersecurity Operations Centers (CSOCs), ranging from their structure and organization, computer MITRE network to processes that best enable effective and efficient operations, to approaches that extract maximum defense Ten Strategies of a World-Class value from CSOC technology investments. This book offers perspective and context for key decision Cybersecurity Operations Center points in structuring a CSOC and shows how to: • Find the right size and structure for the CSOC team Cybersecurity Operations Center a World-Class of Strategies Ten The MITRE Corporation is • Achieve effective placement within a larger organization that a not-for-profit organization enables CSOC operations that operates federally funded • Attract, retain, and grow the right staff and skills research and development • Prepare the CSOC team, technologies, and processes for agile, centers (FFRDCs). FFRDCs threat-based response are unique organizations that • Architect for large-scale data collection and analysis with a assist the U.S. government with limited budget scientific research and analysis, • Prioritize sensor placement and data feed choices across development and acquisition, enteprise systems, enclaves, networks, and perimeters and systems engineering and integration. We’re proud to have If you manage, work in, or are standing up a CSOC, this book is for you. served the public interest for It is also available on MITRE’s website, www.mitre.org. more than 50 years. -
The Forseti Distributed File Integrity Checker
Cluster Security with NVisionCC: The Forseti Distributed File Integrity Checker Adam J. Lee†‡, Gregory A. Koenig†‡, and William Yurcik† †National Center for Supercomputing Applications ‡Department of Computer Science University of Illinois at Urbana-Champaign {adamlee, koenig, byurcik}@ncsa.uiuc.edu Abstract for a number of malicious actions. In many cases, the password used to log into a single node can be used Attackers who are able to compromise a single node to access a large number of nodes in the system, al- in a high performance computing cluster can use that lowing the attacker to utilize the vast computing and node as a launch point for a number of malicious ac- storage capabilities of the compromised cluster to carry tions. In many cases, the password used to log into out brute-force password cracking, launch distributed a single node can be used to access a large number of denial of service attacks, or serve illegal digital content. nodes in the system, allowing the attacker to utilize the Additionally, an attacker can listen to network traffic vast computing and storage capabilities of the compro- for other users to log into their compromised nodes in mised cluster to sniff network traffic, carry out brute- hopes of learning passwords for other accounts on these force password cracking, launch distributed denial of systems. service attacks, or serve illegal digital content. Often, The recent rise in popularity of grid computing has these types of attackers modify important system files exacerbated this problem by increasing the amount to collect passwords to other accounts, disable certain of damage that can be caused with a single compro- logging facilities, or create back-doors into the system. -
Detecting Kernel Rootkits
Dartmouth College Dartmouth Digital Commons Computer Science Technical Reports Computer Science 9-2-2008 Detecting kernel rootkits Ashwin Ramaswamy Dartmouth College Follow this and additional works at: https://digitalcommons.dartmouth.edu/cs_tr Part of the Computer Sciences Commons Dartmouth Digital Commons Citation Ramaswamy, Ashwin, "Detecting kernel rootkits" (2008). Computer Science Technical Report TR2008-627. https://digitalcommons.dartmouth.edu/cs_tr/314 This Technical Report is brought to you for free and open access by the Computer Science at Dartmouth Digital Commons. It has been accepted for inclusion in Computer Science Technical Reports by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. Detecting kernel rootkits Ashwin Ramaswamy Department of Computer Science Dartmouth College Masters Thesis Proposal Dartmouth Computer Science Technical Report TR2008-627 Proposal Presentation Date: 2 September, 2008 Abstract Kernel rootkits are a special category of malware that are deployed directly in the kernel and hence have unmitigated reign over the functionalities of the kernel itself. We seek to detect such rootkits that are deployed in the real world by first observing how the majority of kernel rootkits operate. To this end, comparable to how rootkits function in the real world, we write our own kernel rootkit that manipulates the network driver, thus giving us control over all packets sent into the network. We then implement a mechanism to thwart the attacks of such rootkits by noticing that a large number of the rootkits deployed today rely heavily on the redirection of function pointers within the kernel. By overwriting the desired function pointer to its own function, a rootkit can perform a proverbial man-in-the-middle attack. -
Unix/Mac/Linux OS Malware 10/15/2020
Unix/Mac/Linux OS Malware 10/15/2020 Report #: 202010151030 Agenda • Executive Summary • Origin of Modern Operating Systems • Overview of Operating Systems o Desktop o Servers o Super Computers o Mobile o Attack Surface and CVEs • Malware Case Studies o Drovorub o Hidden Wasp o Operation Windigo o MAC Malware Slides Key: • Defending Against Malware The picture can't be displayed. Non-Technical: Managerial, strategic and high- • Summary level (general audience) The picture can't be displayed. Technical: Tactical / IOCs; requiring in-depth knowledge (system admins, IRT) TLP: WHITE, ID# 202010151030 2 Executive Summary • Unix and Unix-like systems drive most of today's computer systems. • Vulnerabilities and malware • Threat mitigation o Comprehensive security policies o Access control o Regular updates and backups o Training employees o Improving posture and maturity TLP: WHITE, ID# 202010151030 3 Modern Operating Systems "Determining the operating system on which the server runs is the most important part of hacking. Mostly, hacking is breaking into the target's system to steal data or any such purpose. Hence, the security of the system becomes the thing of prime importance." Source: Parikh, K. (2020, August) The Hackers Library Functions of Operating Systems Timeline of the Origins of Operating Systems TLP: WHITE, ID# 202010151030 4 Overview of Operating Systems (Non-Mobile) Unix Chrome OS •Derived from Original AT&T Unix •Free and open-source •Command-line input •Graphical user interface •Very popular among scientific, •Based on Linux