Denial of Service Attack and Defense
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Wikileaks Wars: Digital Conflict Spills Into Real Life
Home | Tech | Science in Society | News | Back to article WikiLeaks wars: Digital conflict spills into real life 15 December 2010 by Jacob Aron Magazine issue 2791. Subscribe and save For similar stories, visit the Computer crime and Weapons Technology Topic Guides ADVERTISEMENT Editorial: Democracy 2.0: The world after WikiLeaks WHILE it is not, as some have called it, the "first great cyberwar", the digital conflict over information sparked by WikiLeaks amounts to the greatest incursion of the online world into the real one yet seen. In response to the taking down of the WikiLeaks website after it released details of secret diplomatic cables, a leaderless army of activists has gone on the offensive. It might not have started a war, but the conflict Dress code for an Anonymous vendetta (Image: is surely a sign of future battles. Sander Koning/AFP/Getty) 1 more image No one is quite sure what the ultimate political effect of the leaks will be. What the episode has done, though, is show what happens when the authorities attempt to silence what many people perceive as a force for freedom of information. It has also shone a light on the evolving world of cyber-weapons (see "The cyber-weapon du jour"). WikiLeaks was subjected to a distributed denial of service (DDoS) attack, which floods the target website with massive amounts of traffic in an effort to force it offline. The perpetrator of the attack is unknown, though an individual calling himself the Jester has claimed responsibility. WikiLeaks took defensive action by moving to Amazon's EC2 web hosting service, but the respite was short-lived as Amazon soon dumped the site, saying that WikiLeaks violated its terms of service. -
Scapy–A Python Tool for Security Testing
ien r Sc ce & te S u y p s t m e o m C s Journal of Bansal and Bansal, J Comput Sci Syst Biol 2015, 8:3 f B o i l o a DOI: 10.4172/jcsb.1000182 l o n r g u y o J Computer Science & Systems Biology ISSN: 0974-7230 Research Article Article OpenOpen Access Access Scapy–A Python Tool For Security Testing Shipra Bansal1* and Nitin Bansal2 1Department of Computer Applications, Lovely Professional University, Jalandhar, India 2Department of Management, Lovely Professional University, Jalandhar, India Abstract Security Testing is the essential method of any information System and this method is used to detect flaws in the security measures in an Information System which protect the data from an unauthorized access. Passing through the Security testing method does not ensure that flaws are not present in the System. Python is a new emerging Programming language. This research paper looks into the tool named Scapy which is based on Python language; lists out some vital commands, explanation with examples and uses of Security Testing. This research paper, being introductory one tries to give a brief description and understandable usage of the security Testing tool. Keywords: Security testing; Python; Scapy; Flaws Stackless is used for concurrency and PyPy has greater speed execution than CPython. Its extension is .py normally. Introduction Introduction to scapy Security is defined as “No unauthorized Access of information”. Security is very essential to maintain the integrity of System [1,2]. Scapy is a tool for manipulating interactive packets. This tool is Security Testing is the first step to detect flaws in the security measures totally based on Python language. -
Impact of Distributed Denial-Of-Service Attack On
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Sheffield Hallam University Research Archive Impact of Distributed Denial-of-Service Attack on Advanced Metering Infrastructure Satin Asri1 and Bernardi Pranggono2 1Department of Computer Science and Engineering Manipal Institute of Technology Manipal, India Email: [email protected] 2School of Engineering and Built Environment Glasgow Caledonian University Glasgow, UK Email: [email protected] Abstract The age of Internet of Things (IoT) has brought in new challenges specifically in areas such as security. The evolution of classic power grids to smart grids is a prime example of how everything is now being connected to the Internet. With the power grid becoming smart, the information and communication systems supporting it is subject to both classical and emerging cyber-attacks. The article investigates the vulnerabilities caused by distributed denial-of-service (DDoS) attack on the smart grid advanced metering infrastructure (AMI). Attack simulations have been conducted on a realistic electrical grid topology. The simulated network consisted of smart meters, power plant and utility servers. Finally, the impact of large scale DDoS attacks on the distribution system’s reliability is discussed. Keywords advanced metering infrastructure (AMI); distributed denial-of- service (DDoS); smart grid; smart meter 1 Introduction In 2011 McAfee reported over 60% of critical infrastructure companies regularly found malware designed to attack their systems. Smart grid is arguably the most fundamental cyber-physical infrastructures of the humankind and modern society. Smart grid and advanced metering infrastructure (AMI) or commonly known as the smart meter are considered as the main signs of classical electrical grids evolution toward smarter grids. -
Guide to Ddos Attacks November 2017
TLP: WHITE Guide to DDoS Attacks November 2017 This Multi-State Information Sharing and Analysis Center (MS-ISAC) document is a guide to aid partners in their remediation efforts of Distributed Denial of Service (DDoS) attacks. This guide is not inclusive of all DDoS attack types and references only the types of attacks partners of the MS-ISAC have reported experiencing. Table Of Contents Introduction .................................................................................................................................................................. 1 Standard DDoS Attack Types ................................................................................................................................... 4 SYN Flood ................................................................................................................................................................ 4 UDP Flood................................................................................................................................................................ 5 SMBLoris .................................................................................................................................................................. 7 ICMP Flood .............................................................................................................................................................. 8 HTTP GET Flood ................................................................................................................................................. -
Deploying Crowd-Sourced Formal Verification Systems in a Dod Network
Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 2013-09 Deploying crowd-sourced formal verification systems in a DoD network Dumlupinar, Mahmut Firuz Monterey, California: Naval Postgraduate School http://hdl.handle.net/10945/37617 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS DEPLOYING CROWD-SOURCED FORMAL VERIFICATION SYSTEMS IN A DOD NETWORK by Mahmut Firuz Dumlupinar September 2013 Thesis Advisor: Geoffrey G. Xie Second Reader: Thomas Housel Approved for public release; distribution is unlimited THIS PAGE INTENTIONALLY LEFT BLANK REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED September 2013 Master’s Thesis 4. TITLE AND SUBTITLE 5. FUNDING NUMBERS DEPLOYING CROWD-SOURCED FORMAL VERIFICATION SYSTEMS IN A DOD NETWORK 6. AUTHOR(S) Mahmut Firuz Dumlupinar 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION Naval Postgraduate School REPORT NUMBER Monterey, CA 93943-5000 9. SPONSORING /MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSORING/MONITORING N/A AGENCY REPORT NUMBER 11. -
Build Network Packets with Scapy
SharkFest ’18 Europe Handcrafted packets build network packets with Scapy Uli Heilmeier Krones AG #sf18eu#sf18eu •• ImperialImperial RidingRiding SchoolSchool RenaissanceRenaissance ViennaVienna •• OctOct 2929 -- NovNov 22 Scan me... pak=IP(dst="10.80.49.*")/ \ TCP(dport=[23,21], \ sport=RandShort(),flags="SAUFP") ans,unansw=sr(pak, timeout=1) #sf18eu • Imperial Riding School Renaissance Vienna • Oct 29 - Nov 2 Stacking layers dnspkt= \ Ether()/ \ IPv6(dst="2001:db8::1")/ \ UDP()/ \ DNS(rd=1,qd= \ DNSQR(qname="wireshark.org")) #sf18eu • Imperial Riding School Renaissance Vienna • Oct 29 - Nov 2 #sf18eu • Imperial Riding School Renaissance Vienna • Oct 29 - Nov 2 Working with packets dnspkt[UDP] #or dnspkt[2] dnspkt[DNSQR].qtype="AAAA" dnspkt[IPv6].payload dnspkt[Ether].payload.payload dnspkt[UDP].chksum=0xffff dnspkt[UDP].chksum del(dnspkt[UDP].chksum) #sf18eu • Imperial Riding School Renaissance Vienna • Oct 29 - Nov 2 Working with packets dnspkt.sprintf("Destination IP is %IPv6.dst%") dnspkt.summary() ls(dnspkt) dnspkt.command() dnspkt.pdfdump(filename="../dns.pdf") #sf18eu • Imperial Riding School Renaissance Vienna • Oct 29 - Nov 2 ff ff ff ff ff ff 00 00 00 00 00 00 86 dd 60 00 Ethernet 00 00 00 27 11 40 00 00 00 00 00 00 00 00 00 00 dst ↵:↵:↵:↵:↵:↵ 00 00 00 00 00 00 20 01 0d b8 00 00 00 00 00 00 src 00:00:00:00:00:00 00 00 00 00 00 01 00 35 00 35 00 27 ff ff 00 00 type 0x86dd 01 00 00 01 00 00 00 00 00 00 09 77 69 72 65 73 IPv6 68 61 72 6b 03 6f 72 67 00 00 01 00 01 version 6 tc 0 fl 0 plen 39 nh UDP hlim 64 src :: dst 2001:db8::1 -
Packet Crafting Using Scapy
Packet Crafting using Scapy by William Zereneh Bachelor of Science, Toronto, 2006 A thesis Presented to Ryerson University in partial fulfillment of the requirements for the degree of Master of Engineering in the Program of Computer Networks Toronto, Ontario, Canada, 2011 ©William Zereneh 2011 Abstract This paper will introduce both Packet Crafting as a testing methodology and the tool that will be used to accomplish all four aspects of this methodology; Packet Assembly, Packet Editing, Packet Re-Play and Packet Decoding. Scapy is an Open Source network programming language based on Python programming language, will be used in this project. The tool will be used to capture packets off the wire, create others by layering protocols as needed, altering the content of Ethernet, Dot3, LLC, SNAP, IP, UDP and ICMP header fields as required and finally launching such packets onto the network. In some cases the responses gathered as a result of launching such packets will not be decoded. As a result of this project, some network vulnerabilities will be explored to fully demonstrate the power of the methodology using Scapy, but never exploited to cause any damage. ii Authorʼs declaration I hereby declare that I am the sole author of this thesis I authorize Ryerson University to lend this thesis to other institutions or individuals for the purpose of scholarly research. William Zereneh I further authorize Ryerson University to reproduce this thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. William Zereneh iii Acknowledgments This paper would have not be possible if it were not for the constant reminder by my wife and kids that my “home work” has to be done first. -
Turning a Smartphone Into a Mobile Attack Vector
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by ZENODO SlowDroid: Turning a Smartphone into a Mobile Attack Vector Enrico Cambiaso∗, Gianluca Papaleo†, Maurizio Aiello‡ National Research Council, CNR-IEIIT, via De Marini, 6, 16149 Genoa, Italy Email: ∗[email protected], †[email protected], ‡[email protected] Abstract—Nowadays, last generation of smartphones are (DoS) menace, executed to make a network service unavailable comparable to desktop computers in terms of computational for its legitimate users. While the first generation of DoS capabilities. Such characteristics can turn a smartphone into a attacks were based on a particular exploit or on flooding the mobile attack vector. In this paper we analyze the use of mobile victim with a large amount of network traffic, novel threats, devices to perpetrate cyber attacks. We present a mobile threat, known as Slow DoS Attacks (SDAs) [6], are particularly suit- SlowDroid, running on Android operating system. Such menace able to a mobile environment, since they require tiny amount of implements a Denial of Service attack and it is particularly suitable to a mobile execution, since it makes use of low amounts network and computational resources. Moreover, since SDAs of computational and bandwidth resources. We present in detail are considered particularly dangerous, a mobile execution of SlowDroid implementation and our choices in terms of design, these menaces should represent an amplification of the threat, graphical user interface, and system architecture. as a portable and position varying threat execution may elude detection methodologies. Keywords—android, mobile attack, cybersecurity, slow dos at- tack, denial of service The rest of the paper is structured as follows. -
JETIR Research Journal
© 2020 JETIR February 2020, Volume 7, Issue 2 www.jetir.org (ISSN-2349-5162) REVELATION OF INFECTED NODES IN NETWORK USING HONEYPOT 1Sabari Giri Murugan S, 2Shravya R Nadig, 3Thiyagu S 1Assistant Professor, 2Student of BCA, 3Assistant Professor 1Department of BCA, 1Jain Deemed to be University, Bangalore, India. Abstract: The network which we use for the various purpose may have anonymous nodes that need to be determined detected with a various counter attempt which is done by the unauthorized user (attackers). In this, we use honeypot which can be detected by the intrusion detection system that can be identified the malicious code or activity or software that is performed by the attacker over the network. Further, we can analyze the behavior of different tools that have been created by DOS and DDOS attack over the network. In a DoS defence mechanism, a honeypot acts as a detective server among the pool of servers in a specific network; where any packet received by the honeypot is most likely a packet from an attacker. There are also many loopholes that have been created by the attacker that could be getting information about the legitimate user for his software and hardware requirements. Index Terms – Attacker, DoS and DDoS. I. INTRODUCTION In the present fast paced world consistent continuous productive assistance is the establishment for all help associations. The achievement of any new or existing endeavor is basically subject to the unwavering quality and nonstop accessibility of administration. Continuously every individual is getting increasingly more reliant on the web for creative and well-coordinated satisfaction of his need. -
Scapy Documentation Release 2.0.1
Scapy Documentation Release 2.0.1 Philippe Biondi and the Scapy community October 24, 2009 CONTENTS 1 Introduction 3 1.1 About Scapy........................................3 1.2 What makes Scapy so special...............................3 1.3 Quick demo........................................5 1.4 Learning Python......................................7 2 Download and Installation9 2.1 Overview..........................................9 2.2 Installing Scapy v2.x....................................9 2.3 Installing Scapy v1.2.................................... 10 2.4 Optional software for special features........................... 11 2.5 Platform-specific instructions............................... 12 3 Usage 19 3.1 Starting Scapy....................................... 19 3.2 Interactive tutorial..................................... 19 3.3 Simple one-liners...................................... 42 3.4 Recipes........................................... 46 4 Advanced usage 51 4.1 ASN.1 and SNMP..................................... 51 4.2 Automata.......................................... 60 5 Build your own tools 67 5.1 Using Scapy in your tools................................. 67 5.2 Extending Scapy with add-ons............................... 68 6 Adding new protocols 71 6.1 Simple example...................................... 71 6.2 Layers........................................... 72 6.3 Dissecting......................................... 75 6.4 Building.......................................... 79 6.5 Fields........................................... -
Efeitos Do Ataque LOIC
GTS 2012 Efeitos do ataque LOIC. Eduardo Bergmann Roteiro •LOIC: Definição, participação e ferramentas •Cenário de testes •Metodologia •Resultados •Prevenção •Conclusão LOIC: Low Orbit Ion Cannon •Desenvolvida pela Praetox Technologies •Ferramenta de teste de carga •TCP(Transmission Control Protocol), •UDP (User Datagram Protocol) •HTTP (HyperText Transfer Protocol) •Disponível em: http://sourceforge.net/projects/loic/ Funcionamento Funcionamento via canal IRC •Iniciar ataque: !lazor targetip=<IRC_server> message=<texto> port=80 method=http wait=false threads=15 method=tcp random=true start •Finalizar ataque: !lazor stop Implementações Windows Web Linux Android BSD (JavaScript) Participação consciente •Downloads: 1.Estados Unidos 2.França 3.Brasil 4.Alemanha ... http://sourceforge.net/projects/loic/ em 26 de abril de 2012 Popular e acessível Agendamento de ataque http://pastebin.com/WEydcBVV em 26 de abril de 2012 Receberam ataques •FBI •MPAA – Motion Picture Association of America •Departament of Justice •RIAA – Recording Industry Association of America •Sony •Visa •MasterCard •Paypal Cenário dos testes Servidor atacado: • Core 2 Duo 2.2 Ghz • 2 Gb RAM • Ubuntu 10.04 • Apache 2.2 • Conectado a um switch ethernet 100 Mbps Cenário dos testes PC iPad 2 Galaxy SII Motorola Defy Core 2 Duo 2.2 Dual-core Dual-core 1.2 800 MHz Ghz Apple A5X GHz Cortex-A9 Cortex-A8 2 GB RAM 512 MB RAM 1 GB RAM 512 MB RAM Cenário dos testes Ferramentas de ataque PC Galaxy SII Motorola Defy iPad 2 LOIC JSLOIC JSLOIC JSLOIC JSLOIC Android LOIC Android LOIC Metodologia -
Distributed Denial of Service Attacks on the Rise: What Community Bank Ceos Should Know
Illinois Department of Financial and Professional Regulation Division of Banking PAT QUINN MANUEL FLORES Governor Acting Secretary Memorandum To: All Illinois Financial Institutions From: Manny Flores, Acting Secretary Subject: Distributed Denial of Service Attacks planned for May 7, 2013 As you are probably aware, cyber thieves and hacktivist groups (hackers that disrupt online services for social causes) are increasingly in the news for their use of distributed denial of service (DDoS) attacks on the banking system. Recently a group of hacktivists announced on Pastebin (a publicly available website where hacktivists post announcements) that they plan to initiate a campaign of cyber-attacks, named OpUSA, against U.S. financial institutions’ websites beginning today, May 7th. Previous efforts by this group have had limited impact; however, there have been additional Pastebin postings inviting other hacktivists groups to join or support the planned attacks. The FBI has been reaching out to financial institutions directly to inform them of these postings. I’ve enclosed information about Distributed Denial of Service Attacks and the steps you can take to help minimize the risk of an attack. Please share this information with your institutions Incident Response Team. Also enclosed you will find the latest FBI Liaison Alert System (FLASH Message) message. FLASH message contains critical technical information collected by the FBI for use by both interagency and private sector partners. This report is intended for liberal distribution throughout the financial sector to provide recipients with actionable intelligence, which will aid in timely victim notification and response. Every FLASH Message has a unique alpha-numeric tag, which can be located at the top of each report.