Recent Security Features and Issues in Embedded Systems
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Security Assurance Requirements for Linux Application Container Deployments
NISTIR 8176 Security Assurance Requirements for Linux Application Container Deployments Ramaswamy Chandramouli This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 NISTIR 8176 Security Assurance Requirements for Linux Application Container Deployments Ramaswamy Chandramouli Computer Security Division Information Technology Laboratory This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 October 2017 U.S. Department of Commerce Wilbur L. Ross, Jr., Secretary National Institute of Standards and Technology Walter Copan, NIST Director and Under Secretary of Commerce for Standards and Technology NISTIR 8176 SECURITY ASSURANCE FOR LINUX CONTAINERS National Institute of Standards and Technology Internal Report 8176 37 pages (October 2017) This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. This p There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each ublication is available free of charge from: http publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. -
PV204: Disk Encryption Lab
PV204: Disk encryption lab May 12, 2016, Milan Broz <[email protected]> Introduction Encryption can provide confidentiality and authenticity of user data. It can be implemented on several different layes, including application, file system or storage device. Application encryption examples are PGP or ZIP compression with password. Encryption of files (inside filesystem or through independent layer like Linux eCryptfs) provides more generic solution. Yet some parts (like filesystem metadata) are still unencrypted. However this solution provides encrypted data with private key per user. (Every user can have own directory encrypted by own key.) Encryption of the low-level storage (disk) is called Full Disk Encryption (FDE). It is completely transparent to the user (no need to choose what to encrypt – the whole disk is encrypted). The encrypted disk behaves as the same as a disk without encryption. The major disadvantage is that everyone who knows the password can read the whole disk. Often we combine FDE with another encryption layer. The primary use of FDE is to provide data confidentiality in power-down mode (stolen laptop does not leak user data). Once the disk is unlocked, the main encryption key remains in system, usually directly in system RAM. Exercise II will show how easy is to get this key from memory image of system. Another disadvantage of FDE is that it usually cannot guarantee integrity of data. Encryption is fully transparent and length-preserving, the ciphertext and plaintext device are of the same size. There is no space to store any integrity information. This allows attacks by direct modification of ciphertext. -
Mcafee Foundstone Fsl Update
2016-AUG-18 FSL version 7.5.841 MCAFEE FOUNDSTONE FSL UPDATE To better protect your environment McAfee has created this FSL check update for the Foundstone Product Suite. The following is a detailed summary of the new and updated checks included with this release. NEW CHECKS 20369 - Splunk Enterprise Multiple Vulnerabilities (SP-CAAAPQM) Category: General Vulnerability Assessment -> NonIntrusive -> Web Server Risk Level: High CVE: CVE-2013-0211, CVE-2015-2304, CVE-2016-1541, CVE-2016-2105, CVE-2016-2106, CVE-2016-2107, CVE-2016-2108, CVE- 2016-2109, CVE-2016-2176 Description Multiple vulnerabilities are present in some versions of Splunk Enterprise. Observation Splunk Enterprise is an operational intelligence solution Multiple vulnerabilities are present in some versions of Splunk Enterprise. The flaws lie in multiple components. Successful exploitation by a remote attacker could lead to the information disclosure of sensitive information, cause denial of service or execute arbitrary code. 20428 - (HT206899) Apple iCloud Multiple Vulnerabilities Prior To 5.2.1 Category: Windows Host Assessment -> Miscellaneous (CATEGORY REQUIRES CREDENTIALS) Risk Level: High CVE: CVE-2016-1684, CVE-2016-1836, CVE-2016-4447, CVE-2016-4448, CVE-2016-4449, CVE-2016-4483, CVE-2016-4607, CVE- 2016-4608, CVE-2016-4609, CVE-2016-4610, CVE-2016-4612, CVE-2016-4614, CVE-2016-4615, CVE-2016-4616, CVE-2016-4619 Description Multiple vulnerabilities are present in some versions of Apple iCloud. Observation Apple iCloud is a manager for the Apple's could based storage service. Multiple vulnerabilities are present in some versions of Apple iCloud. The flaws lie in several components. Successful exploitation could allow an attacker to retrieve sensitive data, cause a denial of service condition or have other unspecified impact on the target system. -
Multicore Operating-System Support for Mixed Criticality∗
Multicore Operating-System Support for Mixed Criticality∗ James H. Anderson, Sanjoy K. Baruah, and Bjorn¨ B. Brandenburg The University of North Carolina at Chapel Hill Abstract Different criticality levels provide different levels of assurance against failure. In current avionics designs, Ongoing research is discussed on the development of highly-critical software is kept physically separate from operating-system support for enabling mixed-criticality less-critical software. Moreover, no currently deployed air- workloads to be supported on multicore platforms. This craft uses multicore processors to host highly-critical tasks work is motivated by avionics systems in which such work- (more precisely, if multicore processors are used, and if loads occur. In the mixed-criticality workload model that is such a processor hosts highly-critical applications, then all considered, task execution costs may be determined using but one of its cores are turned off). These design decisions more-stringent methods at high criticality levels, and less- are largely driven by certification issues. For example, cer- stringent methods at low criticality levels. The main focus tifying highly-critical components becomes easier if poten- of this research effort is devising mechanisms for providing tially adverse interactions among components executing on “temporal isolation” across criticality levels: lower levels different cores through shared hardware such as caches are should not adversely “interfere” with higher levels. simply “defined” not to occur. Unfortunately, hosting an overall workload as described here clearly wastes process- ing resources. 1 Introduction In this paper, we propose operating-system infrastruc- ture that allows applications of different criticalities to be The evolution of computational frameworks for avionics co-hosted on a multicore platform. -
ANDROID PRIVACY THROUGH ENCRYPTION by DANIEL
ANDROID PRIVACY THROUGH ENCRYPTION by DANIEL DEFREEZ A THESIS Presented to the Department of Computer Science in partial fullfillment of the requirements for the degree of Master of Science in Mathematics and Computer Science Ashland, Oregon May 2012 ii APPROVAL PAGE “Android Privacy Through Encryption,” a thesis prepared by Daniel DeFreez in partial fulfillment of the requirements for the Master of Science in Mathematics and Computer Science. This project has been approved and accepted by: Dr. Lynn Ackler, Chair of the Examining Committee Date Pete Nordquist, Committee Member Date Hart Wilson, Committee Member Date Daniel DeFreez c 2012 iii ABSTRACT OF THESIS ANDROID PRIVACY THROUGH ENCRYPTION By Daniel DeFreez This thesis explores the field of Android forensics in relation to a person’s right to privacy. As the field of mobile forensics becomes increasingly sophisticated, it is clear that bypassing common privacy measures, such as disk encryption, will become routine. A new keying method for eCryptfs is proposed that could significantly mitigate memory attacks against encrypted file systems. It is shown how eCryptfs could be modified to implement this keying method on an Android device. iv ACKNOWLEDGMENTS I would like to thank Dr. Lynn Ackler for introducing me to the vast world of computer security and forensics, cultivating a healthy paranoia, and for being a truly excellent teacher. Dr. Dan Harvey, Pete Nordquist, and Hart Wilson provided helpful feedback during the preparation of this thesis, for which I thank them. I am deeply indebted to my friends and colleagues Brandon Kester, Andrew Krug, Adam Mashinchi, Jeff McJunkin, and Stephen Perkins, for their enthusiastic interest in the forensics and security fields, insightful comments, love of free software, and encouraging words. -
Container and Kernel-Based Virtual Machine (KVM) Virtualization for Network Function Virtualization (NFV)
Container and Kernel-Based Virtual Machine (KVM) Virtualization for Network Function Virtualization (NFV) White Paper August 2015 Order Number: 332860-001US YouLegal Lines andmay Disclaimers not use or facilitate the use of this document in connection with any infringement or other legal analysis concerning Intel products described herein. You agree to grant Intel a non-exclusive, royalty-free license to any patent claim thereafter drafted which includes subject matter disclosed herein. No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. All information provided here is subject to change without notice. Contact your Intel representative to obtain the latest Intel product specifications and roadmaps. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Copies of documents which have an order number and are referenced in this document may be obtained by calling 1-800-548-4725 or by visiting: http://www.intel.com/ design/literature.htm. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Learn more at http:// www.intel.com/ or from the OEM or retailer. Results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance. For more complete information about performance and benchmark results, visit www.intel.com/benchmarks. Tests document performance of components on a particular test, in specific systems. -
Containerization Introduction to Containers, Docker and Kubernetes
Containerization Introduction to Containers, Docker and Kubernetes EECS 768 Apoorv Ingle [email protected] Containers • Containers – lightweight VM or chroot on steroids • Feels like a virtual machine • Get a shell • Install packages • Run applications • Run services • But not really • Uses host kernel • Cannot boot OS • Does not need PID 1 • Process visible to host machine Containers • VM vs Containers Containers • Container Anatomy • cgroup: limit the use of resources • namespace: limit what processes can see (hence use) Containers • cgroup • Resource metering and limiting • CPU • IO • Network • etc.. • $ ls /sys/fs/cgroup Containers • Separate Hierarchies for each resource subsystem (CPU, IO, etc.) • Each process belongs to exactly 1 node • Node is a group of processes • Share resource Containers • CPU cgroup • Keeps track • user/system CPU • Usage per CPU • Can set weights • CPUset cgroup • Reserve to CPU to specific applications • Avoids context switch overheads • Useful for non uniform memory access (NUMA) Containers • Memory cgroup • Tracks pages used by each group • Pages can be shared across groups • Pages “charged” to a group • Shared pages “split the cost” • Set limits on usage Containers • Namespaces • Provides a view of the system to process • Controls what a process can see • Multiple namespaces • pid • net • mnt • uts • ipc • usr Containers • PID namespace • Processes within a PID namespace see only process in the same namespace • Each PID namespace has its own numbering staring from 1 • Namespace is killed when PID 1 goes away -
Control Groups (Cgroups)
System Programming for Linux Containers Control Groups (cgroups) Michael Kerrisk, man7.org © 2020 [email protected] February 2020 Outline 19 Cgroups 19-1 19.1 Introduction to cgroups v1 and v2 19-3 19.2 Cgroups v1: hierarchies and controllers 19-17 19.3 Cgroups v1: populating a cgroup 19-24 19.4 Cgroups v1: release notification 19-33 19.5 Cgroups v1: a survey of the controllers 19-43 19.6 Cgroups /procfiles 19-65 19.7 Cgroup namespaces 19-68 Outline 19 Cgroups 19-1 19.1 Introduction to cgroups v1 and v2 19-3 19.2 Cgroups v1: hierarchies and controllers 19-17 19.3 Cgroups v1: populating a cgroup 19-24 19.4 Cgroups v1: release notification 19-33 19.5 Cgroups v1: a survey of the controllers 19-43 19.6 Cgroups /procfiles 19-65 19.7 Cgroup namespaces 19-68 Goals Cgroups is a big topic Many controllers V1 versus V2 interfaces Our goal: understand fundamental semantics of cgroup filesystem and interfaces Useful from a programming perspective How do I build container frameworks? What else can I build with cgroups? And useful from a system engineering perspective What’s going on underneath my container’s hood? System Programming for Linux Containers ©2020, Michael Kerrisk Cgroups 19-4 §19.1 Focus We’ll focus on: General principles of operation; goals of cgroups The cgroup filesystem Interacting with the cgroup filesystem using shell commands Problems with cgroups v1, motivations for cgroups v2 Differences between cgroups v1 and v2 We’ll look briefly at some of the controllers System Programming for Linux Containers ©2020, Michael Kerrisk Cgroups 19-5 §19.1 -
A Container-Based Approach to OS Specialization for Exascale Computing
A Container-Based Approach to OS Specialization for Exascale Computing Judicael A. Zounmevo∗, Swann Perarnau∗, Kamil Iskra∗, Kazutomo Yoshii∗, Roberto Gioiosay, Brian C. Van Essenz, Maya B. Gokhalez, Edgar A. Leonz ∗Argonne National Laboratory fjzounmevo@, perarnau@mcs., iskra@mcs., [email protected] yPacific Northwest National Laboratory. [email protected] zLawrence Livermore National Laboratory. fvanessen1, maya, [email protected] Abstract—Future exascale systems will impose several con- view is essential for scalability, enabling compute nodes to flicting challenges on the operating system (OS) running on manage and optimize massive intranode thread and task par- the compute nodes of such machines. On the one hand, the allelism and adapt to new memory technologies. In addition, targeted extreme scale requires the kind of high resource usage efficiency that is best provided by lightweight OSes. At the Argo introduces the idea of “enclaves,” a set of resources same time, substantial changes in hardware are expected for dedicated to a particular service and capable of introspection exascale systems. Compute nodes are expected to host a mix of and autonomic response. Enclaves will be able to change the general-purpose and special-purpose processors or accelerators system configuration of nodes and the allocation of power tailored for serial, parallel, compute-intensive, or I/O-intensive to different nodes or to migrate data or computations from workloads. Similarly, the deeper and more complex memory hierarchy will expose multiple coherence domains and NUMA one node to another. They will be used to demonstrate nodes in addition to incorporating nonvolatile RAM. That the support of different levels of fault tolerance—a key expected workload and hardware heterogeneity and complexity concern of exascale systems—with some enclaves handling is not compatible with the simplicity that characterizes high node failures by means of global restart and other enclaves performance lightweight kernels. -
Cgroups Py: Using Linux Control Groups and Systemd to Manage CPU Time and Memory
cgroups py: Using Linux Control Groups and Systemd to Manage CPU Time and Memory Curtis Maves Jason St. John Research Computing Research Computing Purdue University Purdue University West Lafayette, Indiana, USA West Lafayette, Indiana, USA [email protected] [email protected] Abstract—cgroups provide a mechanism to limit user and individual resource. 1 Each directory in a cgroupsfs hierarchy process resource consumption on Linux systems. This paper represents a cgroup. Subdirectories of a directory represent discusses cgroups py, a Python script that runs as a systemd child cgroups of a parent cgroup. Within each directory of service that dynamically throttles users on shared resource systems, such as HPC cluster front-ends. This is done using the the cgroups tree, various files are exposed that allow for cgroups kernel API and systemd. the control of the cgroup from userspace via writes, and the Index Terms—throttling, cgroups, systemd obtainment of statistics about the cgroup via reads [1]. B. Systemd and cgroups I. INTRODUCTION systemd A frequent problem on any shared resource with many users Systemd uses a named cgroup tree (called )—that is that a few users may over consume memory and CPU time. does not impose any resource limits—to manage processes When these resources are exhausted, other users have degraded because it provides a convenient way to organize processes in access to the system. A mechanism is needed to prevent this. a hierarchical structure. At the top of the hierarchy, systemd creates three cgroups By placing throttles on physical memory consumption and [2]: CPU time for each individual user, cgroups py prevents re- source exhaustion on a shared system and ensures continued • system.slice: This contains every non-user systemd access for other users. -
Ubuntu Server Guide Basic Installation Preparing to Install
Ubuntu Server Guide Welcome to the Ubuntu Server Guide! This site includes information on using Ubuntu Server for the latest LTS release, Ubuntu 20.04 LTS (Focal Fossa). For an offline version as well as versions for previous releases see below. Improving the Documentation If you find any errors or have suggestions for improvements to pages, please use the link at thebottomof each topic titled: “Help improve this document in the forum.” This link will take you to the Server Discourse forum for the specific page you are viewing. There you can share your comments or let us know aboutbugs with any page. PDFs and Previous Releases Below are links to the previous Ubuntu Server release server guides as well as an offline copy of the current version of this site: Ubuntu 20.04 LTS (Focal Fossa): PDF Ubuntu 18.04 LTS (Bionic Beaver): Web and PDF Ubuntu 16.04 LTS (Xenial Xerus): Web and PDF Support There are a couple of different ways that the Ubuntu Server edition is supported: commercial support and community support. The main commercial support (and development funding) is available from Canonical, Ltd. They supply reasonably- priced support contracts on a per desktop or per-server basis. For more information see the Ubuntu Advantage page. Community support is also provided by dedicated individuals and companies that wish to make Ubuntu the best distribution possible. Support is provided through multiple mailing lists, IRC channels, forums, blogs, wikis, etc. The large amount of information available can be overwhelming, but a good search engine query can usually provide an answer to your questions. -
Z/VSE Security Overview and Update Ingo Franzki
z/VSE Live Virtual Class 2013 z/VSE Security Overview and Update Ingo Franzki http://www.ibm.com/zVSE http://twitter.com/IBMzVSE ©2013 IBM Corporation z/VSE Live Virtual Class 2013 Trademarks The following are trademarks of the International Business Machines Corporation in the United States, other countries, or both. Not all common law marks used by IBM are listed on this page. Failure of a mark to appear does not mean that IBM does not use the mark nor does it mean that the product is not actively marketed or is not significant within its relevant market. Those trademarks followed by ®are registered trademarks of IBM in the United States; all others are trademarks or common law marks of IBM in the United States. For a complete list of IBM Trademarks, see www.ibm.com/legal/copytrade.shtml: *, AS/400®, e business(logo)®, DBE, ESCO, eServer, FICON, IBM®, IBM (logo)®,iSeries®, MVS, OS/390®, pSeries®, RS/6000®, S/30, VM/ESA®, VSE/ESA, WebSphere®, xSeries®, z/OS®, zSeries®, z/VM®, System i, System i5, System p, System p5, System x, System z, System z9®, BladeCenter® The following 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. Cell Broadband Engine is a trademark of Sony Computer Entertainment, Inc. in the United States, other countries, or both and is used under license therefrom. Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc.