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Security Analysis of Docker Containers in a Production Environment
Security analysis of Docker containers in a production environment Jon-Anders Kabbe Master of Science in Communication Technology Submission date: June 2017 Supervisor: Colin Alexander Boyd, IIK Co-supervisor: Audun Bjørkøy, TIND Technologies Norwegian University of Science and Technology Department of Information Security and Communication Technology Title: Security Analysis of Docker Containers in a Production Environment Student: Jon-Anders Kabbe Problem description: Deployment of Docker containers has achieved its popularity by providing an au- tomatable and stable environment serving a particular application. Docker creates a separate image of a file system with everything the application require during runtime. Containers run atop the regular file system as separate units containing only libraries and tools that particular application require. Docker containers reduce the attack surface, improves process interaction and sim- plifies sandboxing. But containers also raise security concerns, reduced segregation between the operating system and application, out of date or variations in libraries and tools and is still an unsettled technology. Docker containers provide a stable and static environment for applications; this is achieved by creating a static image of only libraries and tools the specific application needs during runtime. Out of date tools and libraries are a major security risk when exposing applications over the Internet, but availability is essential in a competitive market. Does Docker raise some security concerns compared to standard application deploy- ment such as hypervisor-based virtual machines? Is the Docker “best practices” sufficient to secure the container and how does this compare to traditional virtual machine application deployment? Responsible professor: Colin Alexander Boyd, ITEM Supervisor: Audun Bjørkøy, TIND Technologies Abstract Container technology for hosting applications on the web is gaining traction as the preferred mode of deployment. -
AV-TEST Security Report for 2016/2017
FACTS AND FIGURES SECURITY REPORT The AV-TEST Security Report 2 WINDOWS Security Status 5 macOS Security Status 10 ANDROID Security Status 13 INTERNET THREATS Security Status 16 IoT Security Status 19 2016/17 Test Statistics 22 FACTS AND FIGURES Declining malware statistics It remains positive to note that the declining malware trend in 2016 The AV-TEST provided some relief, at least quantitatively. Thus, compared to 2015, detection systems were required to seek out and defend against 14% fewer Security Report malware samples. In total, this amounted to precisely 11,725,292 fewer newly developed malware programs than in the previous year. It should not be The best news right off the bat: forgotten, however, that the volume of newly developed malware in 2016 still represented the second-highest since the beginning of measurements by Compared to the previous year, the AV-TEST systems. In addition, 2015 saw skyrocketing growth in malware the detection systems of AV-TEST showed programs and in comparison to 2014, practically a doubling of the sample statistics. The overall number of malware programs for all operating systems a slight decline in the development currently exceeds 640 million. of malware programs for the year 2016. Without wanting to belittle the positive trend for 2016, the fact remains that Overall, that is a pleasing trend, however there have been several short-term downward trends since the beginning of by no means any reason to celebrate, measurements in 1984, a total of six times, without seriously influencing the clear, long-term trend – towards more malware. Despite declining numbers, as evidenced by the AV-TEST Institute‘s in 2016, the AV-TEST analysis systems still recorded an average of 350,000 statistics of this year‘s Security Report. -
The Rise and Imminent Fall of the N-Day Exploit Market in the Cybercriminal Underground
The Rise and Imminent Fall of the N-Day Exploit Market in the Cybercriminal Underground Mayra Rosario Fuentes and Shiau-Jing Ding Contents TREND MICRO LEGAL DISCLAIMER The information provided herein is for general information and educational purposes only. It is not intended and 4 should not be construed to constitute legal advice. The information contained herein may not be applicable to all Introduction situations and may not reflect the most current situation. Nothing contained herein should be relied on or acted upon without the benefit of legal advice based on the particular facts and circumstances presented and nothing 7 herein should be construed otherwise. Trend Micro reserves the right to modify the contents of this document Overview of Exploit Developers at any time without prior notice. Translations of any material into other languages are intended solely as a convenience. Translation accuracy is not guaranteed nor implied. If any questions arise 12 related to the accuracy of a translation, please refer to the original language official version of the document. Any Overview of Exploit Demand and discrepancies or differences created in the translation are Availability not binding and have no legal effect for compliance or enforcement purposes. Although Trend Micro uses reasonable efforts to include accurate and up-to-date information herein, Trend Micro 16 makes no warranties or representations of any kind as to its accuracy, currency, or completeness. You agree Outdated Exploits that access to and use of and reliance on this document and the content thereof is at your own risk. Trend Micro disclaims all warranties of any kind, express or implied. -
Sstic-2021-Actes.Pdf
Préface Mercredi 2 juin 2021, 8 heures du matin. Sous perfusion de café, les yeux à peine entrouverts, je suis avec le reste du comité d’organisation (CO), qui est sur les rangs et veille aux derniers détails, vérifiant que la guicheteuse et les lecteurs de badge fonctionnent. Pendant ce temps, certains irréductibles sont déjà dehors, malgré le crachin breton, prêts à se ruer pour pouvoir découvrir en premier les goodies et s’installer confortablement dans l’amphi, à leur place favorite, pour feuilleter les actes et lire la préface. On ouvre les portes, c’est parti pour le 19e SSTIC ! Fondu. Huit cents personnes dans l’amphi face à nous, je vérifie avec l’orateur invité qui fait l’ouverture que tout est prêt. Avec le trac, les spots qui m’éblouissent, je m’avance pour prononcer quelques mots et lancer la conférence... Et dire qu’il y a environ un tiers de nouveaux ! Fondu. Petit tour en régie, pour discuter avec les techniciens du Couvent et s’assurer que le streaming se passe bien. Oups, on me dit sèchement de m’éloigner de la caméra ; apparemment, les talkies-walkies qui assurent la liaison avec le reste du CO, éparpillé entre le premier rang et l’accueil, font trembler les aimants du stabilisateur... Fondu. Après la présentation des résultats du challenge, une session de rumps réussie où il a fallu courir dans l’amphi pour apporter le micro, nous voilà dans le magnifique cloître du Couvent, sous un soleil bienvenu. Les petits fours sont excellents et je vois, à l’attroupement qui se forme rapidement, que le stand foie gras vient d’ouvrir. -
Area Efficient and Low Power Carry Select Adder Using
International Journal of Advances in Electronics and Computer Science, ISSN(p): 2394-2835 Volume-6, Issue-7, Jul.-2019 http://iraj.in EVOLUTION OF ANDROID MALWARE OFFENSE AND ANDROID ECOSYSTEM DEFENSE 1NISHANT PANDIT, 2DEEPTI V VIDYARTHI 1Student, Defence Institute of Advanced Technology, Girinagar, Pune, Maharashtra – 411025, India 2Assistant Professor, Defence Institute of Advanced Technology, Girinagar, Pune, Maharashtra – 411025, India E-mail: [email protected], [email protected] Abstract - Android mobile devices are used more and more in everyday life. They are our cameras, wallets, and keys. Basically, they embed most of our private information in our pocket. The paper captures the journey of android malware from being mere revenue generation incentives for the malware developer to stealing the personal data of people using these devices. It also discusses how the open source nature of Android has led to fragmentation of the core Operating System among various device manufacturer which introduces additional vulnerabilities. The non-availability of official Google Play store in some countries led to the emergence of various third party Application market which are largely unregulated in terms of the application verification. Android Operating system itself has come a long way in terms of the security features and fixed vulnerabilities over the course of a decade. Our evaluation shows that the Android System has become quite robust against malware threats and automatic installation of malware is not possible without user intervention. We explore certain simple settings on android which would protect the user from malware threats on Android device. Keywords - Android System, Malware Analysis, Vulnerabilities, Android Fragmentation. I. -
Global 2000 Bank Secures 9,000 Android Smartphones to Fulfill Internal Compliance Requirements
CASE STUDY Global 2000 bank secures 9,000 Android smartphones to fulfill internal compliance requirements Customer Profile This financial services firm is based in the middle east, has an international network of 1400 branches globally, and is a member of the Forbes Global 2000 list. Industry: Financial services Mobility Policy: COPE EMM Solution: VMware AirWatch The Solution The Challenge • Lookout Mobile Endpoint Security To enable their Corporate Owned, Personally Enabled (COPE) mobility policy, The Results this leading bank needed a mobile security solution that would comply with their • Achieved compliance with internal internal policy for data protection, integrate with VMware AirWatch, and provide policies for endpoint protection visibility into mobile threats encountered by their international workforce. • Gained visibility into high-risk The IT team decided to implement a COPE mobility policy in order to reduce threats support time by having a limited number of device models and Android versions • Improved employee productivity to maintain. In addition, the bank has developed their own enterprise application with no increase in support tickets that enables their employees to deliver banking services to customers via mobile devices. With no visibility into threats or data leakage on mobile devices, the IT mobility team knew that their unprotected mobile endpoints were an attack surface that presented a major security risk. 1 CASE STUDY The Results Lookout delivers a solution that collects The bank is very happy with how quickly they were able to “ deploy Lookout, including pushing the Lookout For Work app threat data from around the world, and out to 2,000 devices a day towards the end of the process. -
The Shadows of Ghosts Inside the Response of a Unique Carbanak Intrusion
WHITE PAPER The Shadows of Ghosts Inside the response of a unique Carbanak intrusion By: Jack Wesley Riley – Principal, Incident Response Consultant Table of contents 1 Glossary of terms................................................................................................................ 7 2 Report summary.................................................................................................................. 8 3 Intrusion overview........................................................................................................... 13 3.1 Anatomy of attack..................................................................................................... 13 3.1.1 Phase 1: D+0...................................................................................................... 14 3.1.2 Phase 2: D+0....................................................................................................... 14 3.1.3 Phase 3: D+1 through D+3............................................................................... 16 3.1.4 Phase 4: D+3 through D+25............................................................................ 17 3.1.5 Phase 5: D+25 through D+30.......................................................................... 18 3.1.6 Phase 6: D+30 through D+44.......................................................................... 19 3.2 Detection and response............................................................................................ 19 4 Intrusion details................................................................................................................. -
VOL.80 August, 2016 ASEC REPORT VOL.80 August, 2016
Security Trend ASEC REPORT VOL.80 August, 2016 ASEC REPORT VOL.80 August, 2016 ASEC (AhnLab Security Emergency Response Center) is a global security response group consisting of virus analysts and security experts. This monthly report is published by ASEC and focuses on the most significant security threats and latest security technologies to guard against such threats. For further details, please visit AhnLab, Inc.’s homepage (www. ahnlab.com). SECURITY TREND OF August 2016 Table of Contents 1 01 Malware Statistics 4 02 Web Security Statistics 6 SECURITY STATISTICS 03 Mobile Malware Statistics 7 Ransomware Disguised as PokemonGo to Catch 10 2 Users SECURITY ISSUE Locky Ransomware Disguised as .DLL File 13 3 Appears IN-DEPTH ANALYSIS ASEC REPORT 80 | Security Trend 2 1 SECURITY STATISTICS 01 Malware Statistics 02 Web Security Statistics 03 Mobile Malware Statistics ASEC REPORT 80 | Security Trend SECURITY STATISTICS 01 Malware Statistics According to the ASEC (AhnLab Security Emergency Response Center), 8,793,413 malware were detected in August 2016. The number of detected malware decreased by 955,541 from 9,748,954 detected in the previous month as shown in Figure 1-1. A total of 4,986,496 malware samples were collected in August. 11,000,000 10,000,000 10,467,643 9,748,954 9,000,000 8,793,413 8,000,000 7,000,000 6,000,000 5,000,000 4,000,000 3,000,000 2,000,000 1,000,000 Detected Samples 3,022,206 6,121,096 4,986,496 Collected Samples June July August [Figure 1-1] Malware Trend * “Detected Samples” refers to the number of malware detected by AhnLab products deployed by our customers. -
Android Malware Category and Family Detection and Identification Using Machine Learning
Android Malware Category and Family Detection and Identification using Machine Learning Ahmed Hashem El Fiky1*, Ayman El Shenawy1, 2, Mohamed Ashraf Madkour1 1 Systems and Computer Engineering Dept., Faculty of Engineering, Al-Azhar University, Cairo, Egypt. 1 Systems and Computer Engineering Dept., Faculty of Engineering, Al-Azhar University, Cairo, Egypt. 2 Software Engineering and Information Technology, Faculty of Engineering and Technology, Egyptian Chinese University, Cairo, Egypt. [email protected] [email protected] [email protected] Abstract: Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still a long way to go. As a result, there is a need to provide a basic understanding of the behavior displayed by the most common Android malware categories and families. Each Android malware family and category has a distinct objective. As a result, it has impacted every corporate area, including healthcare, banking, transportation, government, and e-commerce. In this paper, we presented two machine- learning approaches for Dynamic Analysis of Android Malware: one for detecting and identifying Android Malware Categories and the other for detecting and identifying Android Malware Families, which was accomplished by analyzing a massive malware dataset with 14 prominent malware categories and 180 prominent malware families of CCCS-CIC- AndMal2020 dataset on Dynamic Layers. Our approach achieves in Android Malware Category detection more than 96 % accurate and achieves in Android Malware Family detection more than 99% accurate. Our approach provides a method for high-accuracy Dynamic Analysis of Android Malware while also shortening the time required to analyze smartphone malware. -
New Developments in Trojan Virus Engineering Author: Mengze Li ▪ Advisor: Sonja Streuber
The Wars in Your Machine: New Developments in Trojan Virus Engineering Author: Mengze Li ▪ Advisor: Sonja StreuBer INTRODUCTION THREE NEW TROJANS Definition: Shedun: Android Trojan Cockroach Trojan Polymorphic JavaScript Trojan The Trojan Virus is a malicious computer program that is used to • Runs on Android mobile devices; has been seen pre- • Steals the sensitive data, such as user name, • Spread as email attachments compromise a computer by fooling users about its real intent. installed on cellphones and tablets from China. password, time, date, email, and every key stroke • In different emails, the cipher, string literals • Downloads and installs adware; launches popup and emails the data back to the host. and variable names are different which • Unlike computer viruses, or worms, the Trojan does not directly advertisements • Spread among Windows PCs through USB drives. makes itself less detectable. attack operating systems • Roughly 20,000 popular Android applications • Very hard to detect with anti-virus software. • Meant to be run from disk, which gives it • Modern forms act as a backdoor to grant access without infected (Twitter, Facebook, Snapchat, etc.) permissions to attack system globally. authorization. Analysis • Help attackers to break the confidentiality, integrity and Analysis Analysis availability of data • Can cause a huge impact to both, private users and public organizations, such as exposing the user’s credit card information, or other personal identity information (PII). Method: • Variable names and string literals encoded. • In this study, we are reviewing and analyzing the actual code of three famous modern Trojans in order to learn their most • Transmit target email with Transmit.exe file. -
Exploiting Host-Based Vulnerabilities
Exploiting Host-Based Vulnerabilities • Exploit Windows-Based Vulnerabilities • Exploit *nix-Based Vulnerabilities Copyright (c) 2018 CompTIA Properties, LLC. All Rights Reserved. | CompTIA.org 1 Commonalities Among Windows-Based Vulnerabilities (Slide 1 of 2) • OSs and most applications based on C, which has no default bounds-checking. • Susceptible to buffer overflows, arbitrary code execution, and privilege escalation. • Developers need to use security best practices and unit testing. • Proprietary product, so source code is not publicly available. • Fewer reviews open the door for undiscovered weaknesses. • Complexity enables vulnerabilities to remain undetected after release. • Microsoft doesn’t patch all vulnerabilities—they release new versions. • This leaves the vulnerability unaddressed in older installations. Copyright (c) 2018 CompTIA Properties, LLC. All Rights Reserved. | CompTIA.org 2 Commonalities Among Windows-Based Vulnerabilities (Slide 2 of 2) • Servers: Network-based vulnerabilities; workstations: Application-based vulnerabilities. • Uses standard protocols and technologies. • Susceptible to cross-platform exploits. • Physical access puts hosts at greater risk. • Connecting cables to administrative console ports. • Booting to a different OS. • Using removable media. • Stealing and damaging hardware. • Social engineering is required to expose certain vulnerabilities. Copyright (c) 2018 CompTIA Properties, LLC. All Rights Reserved. | CompTIA.org 3 Windows Operating System Vulnerabilities Category Description Remote code execution Any condition that allows attackers to execute arbitrary code. Buffer or heap overflow A programming error that allows attackers to overwrite allocated memory addresses with malicious code. Denial of service Any condition that allows attackers to use resources so that legitimate requests can’t be served. A programming error that allows attackers to access a program’s memory space and hijack the normal Memory corruption execution flow. -
Remote Code Execution on Android
MASARYK UNIVERSITY FACULTY OF INFORMATICS Remote code execution on Android MASTER'S THESIS Mayank Samadhiya Chennai, Fall 2017 MASARYK UNIVERSITY FACULTY OF INFORMATICS Remote code execution on Android MASTER'S THESIS Mayank Samadhiya Chennai, Fall 2017 This is where a copy of the official signed thesis assignment and a copy of the Statement of an Author is located in the printed version of the document. Declaration Hereby I declare that this paper is my original authorial work, which I have worked out on my own. All sources, references, and literature used or excerpted during elaboration of this work are properly cited and listed in complete reference to the due source. Mayank Samadhiya Advisor: Martin Stehlik i Acknowledgement I am very thankful to my organization and Government of India for giving me the opportunity to pursue Master studies at Masaryk Uni versity. I am thankful to RNDr. Martin Stehlik Ph.D, Mgr. Jaroslav Seděnka and Dr. Chester Rebeiro who has guided me in completion of my Master thesis. I am also thankful to Prof RNDr Václav Matyáš Ph.D. for his continuous motivation for the completion of thesis. I am also thankful to all my teachers at Masaryk University, especially Prof RNDr Václav Matyáš Ph.D., RNDr. Petr Švenda Ph. D and to all my batchmates for enabling me to learn many vital aspects of In formation Security. I would like to thank my wife Ritu and children Darsh and Shivay for there patience and providing me continuous encouragement and support. iii Abstract Android is an open-source platform which is widely used in smart phones, tablets and other low power applications.