Property List Programming Guide
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Deserialization Vulnerability by Abdelazim Mohammed(@Intx0x80)
Deserialization vulnerability By Abdelazim Mohammed(@intx0x80) Thanks to: Mazin Ahmed (@mazen160) Asim Jaweesh(@Jaw33sh) 1 | P a g e Table of Contents Serialization (marshaling): ............................................................................................................................ 4 Deserialization (unmarshaling): .................................................................................................................... 4 Programming language support serialization: ............................................................................................... 4 Risk for using serialization: .......................................................................................................................... 5 Serialization in Java ...................................................................................................................................... 6 Deserialization vulnerability in Java: ............................................................................................................ 6 Code flow work........................................................................................................................................... 11 Vulnerability Detection: .............................................................................................................................. 12 CVE: ........................................................................................................................................................... 17 Tools: ......................................................................................................................................................... -
Operator Overloading ______
Chapter 10: Operator Overloading _________________________________________________________________________________________________________ Consider the following C++ code snippet: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; Here, we create a vector<string> of a certain size, then iterate over it concatenating “Now longer!” to each of the strings. Code like this is ubiquitous in C++, and initially does not appear all that exciting. However, let's take a closer look at how this code is structured. First, let's look at exactly what operations we're performing on the iterator: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; In this simple piece of code, we're comparing the iterator against myVector.end() using the != operator, incrementing the iterator with the ++ operator, and dereferencing the iterator with the * operator. At a high level, this doesn't seem all that out of the ordinary, since STL iterators are designed to look like regular pointers and these operators are all well-defined on pointers. But the key thing to notice is that STL iterators aren't pointers, they're objects, and !=, *, and ++ aren't normally defined on objects. We can't write code like ++myVector or *myMap = 137, so why can these operations be applied to vector<string>::iterator? Similarly, notice how we're concatenating the string “Now longer!” onto the end of the string: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; Despite the fact that string is an object, somehow C++ “knows” what it means to apply += to strings. -
Property Mapping: a Simple Technique for Mobile Robot Programming
Property Mapping: a simple technique for mobile robot programming Illah R. Nourbakhsh The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213 [email protected] Abstract In this paper we present robot observability as a The mobile robot programming problem is a software predictor for diagnostic transparency. Then, we present a engineering challenge that is not easily conquered using language-independent technique called property mapping contemporary software engineering best practices. We for constructing robot programs that are diagnostically propose robot observability as a measure of the diagnostic transparent and thereby achieve high degrees of transparency of a situated robot program, then describe reliability. property mapping as a simple, language-independent approach to implementing reliable robot programs by maximizing robot observability. Examples from real- The Robot Programming Problem world, working robots are given in Lisp and Java. A mobile robot is a situated automata, or a module that comprises one part of a closed system together with the Introduction environment. Fig. 1 shows the standard depiction of a robot, with its outputs labeled as actions and the outputs The recent availability of inexpensive, reliable robot of the environment in turn labeled as percepts. chassis (e.g. ActivMedia Pioneer, IS-Robotics Magellan, Nomad Scout) has broadened the accessibility of mobile robotics research. Because these robots consist of fixed E hardware out-of-the-box, this technology is shifting the actions A P percepts emphasis of mobile robot research from a joint hardware and software design process toward hardware-unaware R mobile robot programming. This is a software design problem, and yet software Figure 1: The standard view of an embedded robot engineering best practices are not very helpful. -
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. -
Next-Generation Cryptographic Services I’M Going to Tell You, and I Won’T Kill You
Next-Generation Cryptographic Services I’m going to tell you, and I won’t kill you Session 212 Jon Callas Security Privateer These are confidential sessions—please refrain from streaming, blogging, or taking pictures 1 Introduction • Learn about exciting changes to Apple’s cryptographic architecture • First major reworking of crypto in a decade 2 What You Will Learn • Changes to existing APIs • New Transform API • How to use Apple’s Transform library • How to create your own custom Transforms 3 CDSA Common Data Security Architecture 4 CDSA Is Deprecated • It is a creature of its time • That time is the late 1990s • It is a thinly used, Open Group standard ■ All of the costs, few of the benefits • Only a Mac OS API, not iOS 5 Deprecated Does Not Mean Canceled • CDSA is still available • Start migrating away now • Some parts of Security Framework have layering issues with CDSA ■ Those parts are deprecated, too 6 Requirements for a Replacement Design for the decades ahead • Less code • Faster code • Concurrent code • Flexible programming ■ Crypto includes ciphers, compression, XML, networking, REST, LDAP, databases… 7 New Crypto Architecture • Low-level (pointer, length) Security Framework Core Foundation • Basic core algorithms • FoundationOnly for on FIPS 140 Transforms Core Foundation validation Mac OS • Traditional crypto toolkit CommonCrypto C-language programming • Documentation in man pages ■ man CC_crypto 8 New CommonCrypto Architecture • Starts from Snow Leopard’s CommonCrypto • Recoded internals ■ Both Mac OS, iOS ■ NIST algorithm -
Serializing C Intermediate Representations for Efficient And
Serializing C intermediate representations for efficient and portable parsing Jeffrey A. Meister1, Jeffrey S. Foster2,∗, and Michael Hicks2 1 Department of Computer Science and Engineering, University of California, San Diego, CA 92093, USA 2 Department of Computer Science, University of Maryland, College Park, MD 20742, USA SUMMARY C static analysis tools often use intermediate representations (IRs) that organize program data in a simple, well-structured manner. However, the C parsers that create IRs are slow, and because they are difficult to write, only a few implementations exist, limiting the languages in which a C static analysis can be written. To solve these problems, we investigate two language-independent, on-disk representations of C IRs: one using XML, and the other using an Internet standard binary encoding called XDR. We benchmark the parsing speeds of both options, finding the XML to be about a factor of two slower than parsing C and the XDR over six times faster. Furthermore, we show that the XML files are far too large at 19 times the size of C source code, while XDR is only 2.2 times the C size. We also demonstrate the portability of our XDR system by presenting a C source code querying tool in Ruby. Our solution and the insights we gained from building it will be useful to analysis authors and other clients of C IRs. We have made our software freely available for download at http://www.cs.umd.edu/projects/PL/scil/. key words: C, static analysis, intermediate representations, parsing, XML, XDR 1. Introduction There is significant interest in writing static analysis tools for C programs. -
C++ Properties -- a Library Solution
Document Number: SC22/WG21/N1615=04-0055 Date: 2004-04-09 Author: Lois Goldthwaite Email: [email protected] C++ Properties -- a Library Solution N1600 is a summary of the "property" language extension that is proposed for C++/CLI. I can't help feeling that this is an effort to impose an alien idiom on C++. There is too much of "the compiler will perform black magic behind your back" in it. There are too many ways in which the programmer must be aware that some [pseudo-]data members must be handled in different ways from [real] data members. The C++/CLI draft spec (N1608)says in 8.8.4 and 18.4 that "A property is a member that behaves as if it were a field." I think "behaves" is absolutely the wrong word to use here. A property is behavior that pretends to be state. From an OO design point of view, I think this is A Bad Idea. Behaviour should be visible; state should not. Further on, the document continues, "the X and Y properties can be read and written as though they were fields. In the example above, the properties are used to implement data hiding within the class itself." The subtle advantage of "hiding" a private data member by treating it as a public data member escapes me. Properties are just syntactic saccharine for getter and setter member functions for individual fields. C++ experts have spent years trying to educate people NOT to use public data, to use member functions instead, and now we propose to introduce something that looks just like public data? Do we really want to try to teach people that public fields are still bad, but properties are good, even though they look just the same from outside the class? Moreover, these public fields have side effects! There is a danger that too many novice programmers will prototype their designs using public fields, with the intent of changing them to properties later, if and when it proves necessary, and the general quality of code will suffer because of it. -
The Programmer's Guide to Apache Thrift MEAP
MEAP Edition Manning Early Access Program The Programmer’s Guide to Apache Thrift Version 5 Copyright 2013 Manning Publications For more information on this and other Manning titles go to www.manning.com ©Manning Publications Co. We welcome reader comments about anything in the manuscript - other than typos and other simple mistakes. These will be cleaned up during production of the book by copyeditors and proofreaders. http://www.manning-sandbox.com/forum.jspa?forumID=873 Licensed to Daniel Gavrila <[email protected]> Welcome Hello and welcome to the third MEAP update for The Programmer’s Guide to Apache Thrift. This update adds Chapter 7, Designing and Serializing User Defined Types. This latest chapter is the first of the application layer chapters in Part 2. Chapters 3, 4 and 5 cover transports, error handling and protocols respectively. These chapters describe the foundational elements of Apache Thrift. Chapter 6 describes Apache Thrift IDL in depth, introducing the tools which enable us to describe data types and services in IDL. Chapters 7 through 9 bring these concepts into action, covering the three key applications areas of Apache Thrift in turn: User Defined Types (UDTs), Services and Servers. Chapter 7 introduces Apache Thrift IDL UDTs and provides insight into the critical role played by interface evolution in quality type design. Using IDL to effectively describe cross language types greatly simplifies the transmission of common data structures over messaging systems and other generic communications interfaces. Chapter 7 demonstrates the process of serializing types for use with external interfaces, disk I/O and in combination with Apache Thrift transport layer compression. -
Property Conveyances As a Programming Language
Property Conveyances as a Programming Language Shrutarshi Basu∗ Nate Foster James Grimmelmann Harvard University Cornell University Cornell Law School & Cornell Tech Cambridge, MA, USA Ithaca, NY, USA New York, NY, USA [email protected] [email protected] [email protected] Abstract 1 Introduction Anglo-American law enables property owners to split up Many legal issues depend on vague, open-ended standards. rights among multiple entities by breaking their ownership For example, nuisance law prohibits “unreasonable” interfer- apart into future interests that may evolve over time. The con- ence with neighbors’ use of land. What counts as “unreason- veyances that owners use to transfer and subdivide property able” depends on an eight-factor balancing test, and many of rights follow rigid syntactic conventions and are governed the individual factors are themselves vague and open-ended, by an intricate body of interlocking doctrines that determine including “the social value that the law attaches to the pri- their legal eect. These doctrines have been codied, but mary purpose of the conduct;” and “the suitability of the only in informal and potentially ambiguous ways. particular use or enjoyment invaded to the character of the This paper presents preliminary work in developing a locality.” [American Law Institute 1979] A lawyer who wants formal model for expressing and analyzing property con- to know whether a client’s cement plant will be considered veyances. We develop a domain-specic language capable a nuisance will have to research numerous previous cases, of expressing a wide range of conveyances in a syntax ap- gather extensive facts about the plant and its neighbors, and proximating natural language. -
Fiscal Sponsor for CORE Causes” Brochure
CORE Foundation Inc Fiscal Sponsor for CORE Causes A 501(c)3 nonprofit EIN: 20-5997764 MISSION STATEMENT CORE Foundation ignites and supports charitable projects which address societal needs, build community, and enable positive change. Our mission is to ignite and support charitable Watch this short video to hear from our CORE Cause Leaders projects, our “CORE Causes,” which address about how the CORE Foundation has enabled them. societal needs, build community, and enable positive change. To learn more about becoming a CORE Cause complete an application to begin the process. Reston Sprint Triathlon CORE Causes Fiscally Sponsored Projects CORE Foundation is in its 15th year of helping others be the change they want to see in the world through a fiscal sponsor model. A Fiscal Sponsorship enables individuals or groups with big ideas to do their good work under the CORE 501(c)3 nonprofit umbrella. We call the leaders of these groups - social entrepreneurs. By becoming a CORE Foundation “CORE Cause,” social entrepreneurs can utilize the CORE Foundation nonprofit infrastructure, administrative resources, and mentoring to ignite their project for social good. Projects can range from supporting the fight against cancer to championing veterans’ issues to battling homelessness and food insecurity. CORE Foundation’s leadership team assists in incubating those big ideas and bringing them to life in a supportive environment. Acting as a host for the CORE Cause’s effort is a win-win and allows us all to work together to be agents of change. The CORE Foundation helps social entrepreneurs identify support for their plans, contributes resources to get them started, helps them market their initiatives, and provides an infrastructure that improves their chance of success. -
Dealing with Properties
Dealing with Properties Martin Fowler [email protected] lmost every object you create needs properties: some statement about the object. A person may have a height, a company may have a CEO, a flight may have a flight Anumber. There are a number of ways to model properties. In this article I will explore some of these ways and when you may want to use them. I’ve often seen patterns touch on this subject, but they usually only cover part of the picture. Here I want to cover the issue more broadly to give a better discussion of the options. The most common, and the simplest case is to use a Fixed Property, that is just declare the attribute on the class. In the vast majority of cases that is all you need to do. Fixed properties begin to fail when you have a large amount of them, or you need to change them frequently, possibly at run time. These forces lead you to the varieties of Dynamic Property. All dynamic properties have the quality of a parameterized attribute where to query a property you need to use a query method with a parameter. The simplest of these is the Flexible Dynamic Property where the parameter is just a string. This makes it easy to define and use properties, but is difficult to control. If you need that control you can use a Defined Dynamic Property where your parameters must be instances of some class. A further step of control allows you to strongly type your dynamic property with a Typed Dynamic Property. -
Building a Core Foundation Presentation
Building a (Core) Foundation Rob Napier A little background • Mac OS X since 10.4 • iPhoneOS since release • Cisco Jabber, The Daily, RNCryptor • Focus on low-level • Today: Mac developer for... KACE NAPIER KUMAR Bookstore Category COMPUTERS/PROGRAMMING/SOFTWARE DEVELOPMENT ROB NAPIER MUGUNTH KUMAR BUILD AMAZING MOBILE APPS WITH THE iOS SDK iOS 5 PROGRAMMING iOS 5 Programming Pushing the Limits is your total guide to creating standout apps for the iPad, iPhone, and iPod Touch. Veteran mobile developers Rob Napier and Mugunth Kumar take you beyond the basics to cover advanced topics you won’t find in most other iOS development books. From the ins and outs of the Core Foundation API, to maximizing speed and performance with Grand Central Dispatch, to storyboarding your UI flow, they guide you step by step through all the knotty stuff you need to master to program fun, fully-functional, high-performance apps. Topics include: Interacting with the Objective-C® Runtime Using advanced text layout with Core Text Introspecting objects and modifying classes Creating complex reusable table view layouts iOS 5 at runtime Using blocks to implement functional programming Controlling multitasking Creating high performance apps for any RESTful web service Running on multiple platforms Implementing superfast caching for regions with spotty Making optimal use of Security Services network connectivity PROGRAMMING Creating amazing animations Optimizing cash flow with In-App Purchases Why settle for adequate mobile apps when you can create extraordinary ones? Get iOS 5 Programming Pushing the Limits and expand your development horizons. PUSHING THE LIMITS Visit www.wiley.com/go/ptl/ios5programming to download code files.