Dtrace: the Reverse Engineer's Unexpected Swiss Army Knife
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1 Thinking Methodically About Performance
PERFORMANCE Thinking Methodically about Performance The USE method addresses shortcomings in other commonly used methodologies Brendan Gregg, Joyent Performance issues can be complex and mysterious, providing little or no clue to their origin. In the absence of a starting point—or a methodology to provide one—performance issues are often analyzed randomly: guessing where the problem may be and then changing things until it goes away. While this can deliver results—if you guess correctly—it can also be time-consuming, disruptive, and may ultimately overlook certain issues. This article describes system-performance issues and the methodologies in use today for analyzing them, and it proposes a new methodology for approaching and solving a class of issues. Systems-performance analysis is complex because of the number of components in a typical system and their interactions. An environment may be composed of databases, Web servers, load balancers, and custom applications, all running upon operating systems—either bare-metal or virtual. And that’s just the software. Hardware and firmware, including external storage systems and network infrastructure, add many more components to the environment, any of which is a potential source of issues. Each of these components may require its own field of expertise, and a company may not have staff knowledgeable about all the components in its environment. Performance issues may also arise from complex interactions between components that work well in isolation. Solving this type of problem may require multiple domains of expertise to work together. As an example of such complexity within an environment, consider a mysterious performance issue we encountered at Joyent for a cloud-computing customer: the problem appeared to be a memory leak, but from an unknown location. -
App Frameworks #WWDC16
App Frameworks #WWDC16 Improving Existing Apps Using modern best practices Session 213 Woody L., � to the Knowledge © 2016 Apple Inc. All rights reserved. Redistribution or public display not permitted without written permission from Apple. Agenda Reduce Technical Debt Asset Catalogs Dependency Injection Live Playgrounds Cycle of Development You down with ‘Dub-DC? Yeah, you know me. Lots of Requests Your boss More Requests Your customers Technical Debt //TODO: Write and clean up Customer’s Perspective Actuality Duarte requesting hi-res photo AppStore New API zsh AppKit CF AirPortUtility PreferencesApp iCal Foundation AVFoundation AirPortAssistant AirPortSettings AirPortAssistant OpenCL GameKit Dock Mail MapKit MobileMusicPlayer xnu AppKit AppStore MobileSafari zsh QuickTime udf WebKit BlueToothSettings cups Messages Dock ActivityMonitor MobileSafari bash Mail AccessibilitySettings GameKit GameKitServices MediaPlayerUI MediaPlayer MediaStream MobileMail Swift 3 Source code compatibility New and Updated Platforms A Dev’s Run Loop Bug Fixes Technical Debt New and Platforms ♽Updated APIs Customer Roadmap A Dev’s Run Loop Bug Fixes Technical Debt New and Platforms ♽Updated APIs Customer Roadmap A Dev’s Run Loop Bug Fixes Technical Debt New and Platforms ♽Updated APIs Customer Roadmap The Essentials A very good place to start Earlier iOS 8 5% 11% Minimum Deployment of iOS 8 • 95% of Devices iOS 9 84% As measured by the App Store on May 9, 2016 Pick a Deployment Target Latest update of previous release Deprecated API Deprecated API Treat Warnings -
Chapter 1. Origins of Mac OS X
1 Chapter 1. Origins of Mac OS X "Most ideas come from previous ideas." Alan Curtis Kay The Mac OS X operating system represents a rather successful coming together of paradigms, ideologies, and technologies that have often resisted each other in the past. A good example is the cordial relationship that exists between the command-line and graphical interfaces in Mac OS X. The system is a result of the trials and tribulations of Apple and NeXT, as well as their user and developer communities. Mac OS X exemplifies how a capable system can result from the direct or indirect efforts of corporations, academic and research communities, the Open Source and Free Software movements, and, of course, individuals. Apple has been around since 1976, and many accounts of its history have been told. If the story of Apple as a company is fascinating, so is the technical history of Apple's operating systems. In this chapter,[1] we will trace the history of Mac OS X, discussing several technologies whose confluence eventually led to the modern-day Apple operating system. [1] This book's accompanying web site (www.osxbook.com) provides a more detailed technical history of all of Apple's operating systems. 1 2 2 1 1.1. Apple's Quest for the[2] Operating System [2] Whereas the word "the" is used here to designate prominence and desirability, it is an interesting coincidence that "THE" was the name of a multiprogramming system described by Edsger W. Dijkstra in a 1968 paper. It was March 1988. The Macintosh had been around for four years. -
And It All Went Horribly Wrong: Debugging Production Systems
And It All Went Horribly Wrong: Debugging Production Systems Bryan Cantrill VP, Engineering [email protected] @bcantrill Thursday, November 17, 2011 In the beginning... Thursday, November 17, 2011 In the beginning... Sir Maurice Wilkes, 1913 - 2010 Thursday, November 17, 2011 In the beginning... “As soon as we started programming, we found to our surprise that it wasn't as easy to get programs right as we had thought. Debugging had to be discovered. I can remember the exact instant when I realized that a large part of my life from then on was going to be spent in finding mistakes in my own programs.” —Sir Maurice Wilkes, 1913 - 2010 Thursday, November 17, 2011 Debugging through the ages • As systems had more and more demands placed upon them, we became better at debugging their failures... • ...but as these systems were replaced (disrupted) by faster (cheaper) ones, debuggability often regressed • At the same time, software has been developed at a higher and higher layer of abstraction — and accelerated by extensive use of componentization • The high layers of abstraction have made it easer to get the system initially working (develop) — but often harder to understand it when it fails (deploy + operate) • Production systems are more complicated and less debuggable! Thursday, November 17, 2011 So how have we made it this far? • We have architected to survive component failure • We have carefully considered state — leaving tiers of the architecture stateless wherever possible • Where we have state, we have carefully considered semantics, -
*OS Internals::Kernel & Hardware
12 Ceci n'est pas une "heap"*: Kernel Memory Management Thankfully, kernel KPI users seldom have to deal with the physical layer, and most calls can remain in the virtual layer. We detail how the kernel manages its own vm_map - the kernel_map - through kmem_alloc* and kalloc*. We next present the very important abstractions of kernel zones. Special care is given to the nooks and crannies of the zone allocator, due to their significance over the years in exploitation. Before concluding, we reintroduce memory pressure - also presented in I/8, but described here from the kernel's perspective. The gentle memorystatus of MacOS and the ruthless jetsam of *OS are both detailed. This continues with a discussion of XNU's proprietary purgeable memory, which helps deal with memory pressure automatically. Lastly, we conclude with a rough map of the kernel's address space, and consider the kernel slide. * - Kernel memory is often incorrectly refered to as the the "kernel heap". This term (apparently used within Apple as well) is technically wrong - the heap refers to the data strcuture used in user-mode in backing malloc(3), as opposed to the automatic, thread-local memory of the stack (although the pedantic will correctly argue that user mode "heaps" no longer use the heap structure as well...). Though the kernel does make use of stack memory (for its threads and user-mode threads when in-kernel), the heap data structure is not used in any way in maintaining kernel memory, which is merely segmented into zones, similar to the Linux Slab allocator. Kernel Memory Allocation XNU makes use of multiple memory allocation facilities in the kernel. -
The Rise & Development of Illumos
Fork Yeah! The Rise & Development of illumos Bryan Cantrill VP, Engineering [email protected] @bcantrill WTF is illumos? • An open source descendant of OpenSolaris • ...which itself was a branch of Solaris Nevada • ...which was the name of the release after Solaris 10 • ...and was open but is now closed • ...and is itself a descendant of Solaris 2.x • ...but it can all be called “SunOS 5.x” • ...but not “SunOS 4.x” — thatʼs different • Letʼs start at (or rather, near) the beginning... SunOS: A peopleʼs history • In the early 1990s, after a painful transition to Solaris, much of the SunOS 4.x engineering talent had left • Problems compounded by the adoption of an immature SCM, the Network Software Environment (NSE) • The engineers revolted: Larry McVoy developed a much simpler variant of NSE called NSElite (ancestor to git) • Using NSElite (and later, TeamWare), Roger Faulkner, Tim Marsland, Joe Kowalski and Jeff Bonwick led a sufficiently parallelized development effort to produce Solaris 2.3, “the first version that worked” • ...but with Solaris 2.4, management took over day-to- day operations of the release, and quality slipped again Solaris 2.5: Do or die • Solaris 2.5 absolutely had to get it right — Sun had new hardware, the UltraSPARC-I, that depended on it • To assure quality, the engineers “took over,” with Bonwick installed as the gatekeeper • Bonwick granted authority to “rip it out if itʼs broken" — an early BDFL model, and a template for later generations of engineering leadership • Solaris 2.5 shipped on schedule and at quality -
Introducing a New Product
illumos SVOSUG Update Presented by Garrett D'Amore Nexenta Systems, Inc. August 26, 2010 What's In A Name? illumos = illum + OS = “Light + OS” Light as in coming from the Sun... OS as in Operating System Note: illumos not Illumos or IllumOS “illumos” trademark application in review. Visual branding still under consideration. Not All of OpenSolaris is Open Source ● Critical components closed source – libc_i18n (needed for working C library) – NFS lock manager – Portions of crypto framework – Numerous critical drivers (e.g. mpt) ● Presents challenges to downstream dependents – Nexenta, Belenix, SchilliX, etc. – See “Darwin” and “MacOS X” for the worst case What's Good ● The Technology! – ZFS, DTrace, Crossbow, Zones, etc. ● The People – World class engineers! – Great community of enthusiasts – Vibrant ecosystem ● The Code is Open – Well most of it, at least illumos – the Project ● Derivative (child) of OS/Net (aka ON) – Solaris/OpenSolaris kernel and foundation – 100% ABI compatible with Solaris ON – Now a real fork of ON, but will merge when code available from Oracle ● No closed code – Open source libc, kernel, and drivers! ● Repository for other “experimental” innovations – Can accept changes from contributors that might not be acceptable to upstream illumos – the Ecosystem ● illumos-gate is just ON – Focused on “Core Foundation Blocks” – Flagship project ● Expanding to host other affiliated projects – Umbrella organization – X11 components? – Desktop components? – C++ Runtime? – Distributions? illumos – the Community ● Stands independently -
Auditing and Exploiting Apple IPC Ianbeer
Auditing and Exploiting Apple IPC ianbeer Jailbreak Security Summit May 2015 About me: ● Security Researcher with Project Zero ● Won pwn4fun last year with a JavaScriptCore bug and some kernel bugs ● That macbook air now runs ubuntu :) ● Over the last year reported ~60 OS X sandbox escapes/priv-escs (10 still unpatched) ● Some accidentally also present on iOS This talk: ● Overview of (almost) all IPC mechanisms on iOS/OS X ● Quick look at Mach Message fundamentals ● Deep-dive into XPC services ● Exploiting XPC bugs ● fontd IPC and exploiting fontd bugs ● Mitigations and the future socketpair semaphores AppleEvents IPC Zoo signals domain sockets fifo shmem Pasteboard CFMessage Distributed NSXPC A B Port Notifications D CFPort MIG XPC O Mach Messages XNU Why care about IPC? Sandboxing You probably get initial code execution in some kind of sandbox in userspace… ● renderer/plugin process ● quicklook-satellite ● ntpd Plenty of stuff is still unsandboxed on OS X ● appstore app though (...Adobe Reader...) Sandbox escape models Privilege separation: Two parts of the same application work together to isolate dangerous code Untrusted helper Trusted “broker” IPC Sandboxed Unsandboxed Sandbox escape models Privilege separation: Two parts of the same application work together to isolate dangerous code Chrome PPAPI Plugin Browser IPC Sandboxed Unsandboxed Sandbox escape models Privilege separation: Two parts of the same application work together to isolate dangerous code WebContent WebKit2/Safari IPC Sandboxed Unsandboxed Sandbox escape models Privilege -
Building Secure and Reliable Systems
Building Secure & Reliable Systems Best Practices for Designing, Implementing and Maintaining Systems Compliments of Heather Adkins, Betsy Beyer, Paul Blankinship, Piotr Lewandowski, Ana Oprea & Adam Stubblefi eld Praise for Building Secure and Reliable Systems It is very hard to get practical advice on how to build and operate trustworthy infrastructure at the scale of billions of users. This book is the first to really capture the knowledge of some of the best security and reliability teams in the world, and while very few companies will need to operate at Google’s scale many engineers and operators can benefit from some of the hard-earned lessons on securing wide-flung distributed systems. This book is full of useful insights from cover to cover, and each example and anecdote is heavy with authenticity and the wisdom that comes from experimenting, failing and measuring real outcomes at scale. It is a must for anybody looking to build their systems the correct way from day one. —Alex Stamos, Director of the Stanford Internet Observatory and former CISO of Facebook and Yahoo This book is a rare treat for industry veterans and novices alike: instead of teaching information security as a discipline of its own, the authors offer hard-wrought and richly illustrated advice for building software and operations that actually stood the test of time. In doing so, they make a compelling case for reliability, usability, and security going hand-in-hand as the entirely inseparable underpinnings of good system design. —Michał Zalewski, VP of Security Engineering at Snap, Inc. and author of The Tangled Web and Silence on the Wire This is the “real world” that researchers talk about in their papers. -
Openafs Client for Macos
OpenAFS client for macOS Marcio Barbosa 2021 OpenAFS Workshop AGENDA • A high-level view of XNU • Kernel Extensions • Securing Modular Architecture • System Extensions • Apple Silicon • Conclusion • References / Contact A HIGH-LEVEL VIEW OF XNU A HIGH-LEVEL VIEW OF XNU • The Mac OS X kernel is called XNU. • Stands for X is Not UNIX. • Microkernel architecture? No, XNU is a hybrid kernel. FreeBSD Mach MONOLITHIC KERNELS • "Classic" kernel architecture. • Predominant in the UNIX and Linux realms. • All kernel functionality in one address space. • If any service fails, the whole system crashes. • Hard to extend. MICROKERNELS • Consists of only the core kernel functionality. • The rest of the functionality exported to external servers. • There exists complete isolation between the individual servers. • Communication between them is carried out by message passing. • Failure is contained. • Monolithic kernel failures usually trigger a complete kernel panic. • Performance can be an issue. HYBRID KERNELS • Hybrid kernels attempt to synthesize the best of both worlds. • The innermost core of the kernel is self-contained. • All other services are outside this core, but in the same memory space. • XNU is a hybrid. • The kernel is modular and allows for pluggable Kernel Extensions. • Absence of isolation exposes the system to bugs introduced by KEXTs. MONOLITHIC, MICROKERNELS, AND HYBRID Golftheman, Public domain, via Wikimedia Commons https://commons.wikimedia.org/wiki/File:OS-structure2.svg KERNEL EXTENSIONS KERNEL EXTENSIONS • No kernel can completely accommodate all the hardware, peripheral devices, and services available. • KEXTs are kernel modules, which may be dynamically inserted or removed on demand. • Augments kernel functionality with entirely self-contained subsystems. -
[Cs.SE] 22 Sep 2003 Postmortem Object Type Identification
AADEBUG2003 71 Postmortem Object Type Identification Bryan M. Cantrill∗ ∗ Sun Microsystems, 17 Network Circle, Menlo Park, California ABSTRACT This paper presents a novel technique for the automatic type identification of arbitrary memory objects from a memory dump. Our motivating application is debugging memory corruption problems in optimized, pro- duction systems — a problem domain largely unserved by extant methodologies. We describe our algorithm as applicable to any typed language, and we discuss it with respect to the formidable obstacles posed by C. We describe the heuristics that we have developed to overcome these difficulties and achieve effective type identification on C-based systems. We further describe the implementation of our heuristics on one C- based system — the Solaris operating system kernel — and describe the extensions that we have added to the Solaris postmortem debugger to allow for postmortem type identification. We show that our implemen- tation yields a sufficiently high rate of type identification to be useful for debugging memory corruption problems. Finally, we discuss some of the novel automated debugging mechanisms that can be layered upon postmortem type identification. KEYWORDS: postmortem debugging; memory corruption; debugging production systems; debugging opti- mized systems; false sharing; lock detection; feedback-based debugging 1 Introduction While there are a myriad of different techniques for automatically debugging memory corruption problems, they share one conspicuous trait: each induces a negative effect on run-time performance. arXiv:cs/0309037v1 [cs.SE] 22 Sep 2003 In the least invasive techniques the effect is merely moderate, but in many it is substantial — and in none is the performance effect so slight as to allow the technique to be enabled at all times in production code. -
Download Slides
Dynamic Languages In Production: Progress And Open Challenges Bryan Cantrill (@bcantrill) David Pacheco (@dapsays) Joyent Dynamic languages: In the beginning... 2 Dynamic languages: In the beginning... John McCarthy, 1927 - 2011 3 Dynamic languages: In the beginning... “The existence of an interpreter and the absence of declarations makes it particular natural to use LISP in a time-sharing environment. It is convenient to define functions, test them, and re-edit them without ever leaving the LISP interpreter.” — John McCarthy, 1927 - 2011 4 Dynamic languages • From their inception, dynamic and interpreted languages have enabled higher programmer productivity • ...but for many years, limited computing speed and memory capacity confined the real-world scope of these languages • By the 1990s, with faster microprocessors, better DRAM density and improved understanding of virtual machine implementation, the world was ready for a breakout dynamic language... • Java, introduced in 1995, quickly became one of the world’s most popular languages — and in the nearly two decades since Java, dynamic languages more generally have blossomed • Dynamic languages have indisputable power… • ...but their power has a darker side 5 Before the beginning 6 Before the beginning Sir Maurice Wilkes, 1913 - 2010 7 Before the beginning “As soon as we started programming, we found to our surprise that it wasn't as easy to get programs right as we had thought. Debugging had to be discovered. I can remember the exact instant when I realized that a large part of my life