Introduce the Nullptr Constant Jens Gustedt
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Enabling RUST for UEFI Firmware
presented by Enabling RUST for UEFI Firmware UEFI 2020 Virtual Plugfest August 20, 2020 Jiewen Yao & Vincent Zimmer, Intel Corporation www.uefi.org 1 Jiewen Yao • Jiewen Yao is a principal engineer in the Intel Architecture, Graphics, and Software Group. He has been engaged as a firmware developer for over 15 years. He is a member of the UEFI Security sub team, and the TCG PC Client sub working group. www.uefi.org 2 Vincent Zimmer • Vincent Zimmer is a senior principal engineer in the Intel Architecture, Graphics, and Software Group. He has been engaged as a firmware developer for over 25 years and leads the UEFI Security sub team. www.uefi.org 3 Agenda • EDKII Security Summary • RUST Language • Enabling RUST for EDKII • Summary / Call to Action www.uefi.org 4 EDKII Security Summary www.uefi.org 5 BIOS Memory Issue in Hack Conf www.uefi.org 6 BIOS Security Bug Top Issue Open Source Close Source Buffer Overflow/ 50% 38% Integer Overflow SMM 7% 18% Variable 8% 5% Register Lock 3% 10% www.uefi.org 7 Vulnerabilities in C/C++ Source: Trends, challenges, and strategic shifts in the software vulnerability mitigation landscape – Microsoft, Bluehat IL 2019 www.uefi.org 8 Firmware as Software • Many software issues are also firmware issues. – Buffer Overflow – Integer Overflow – Uninitialized Variable • Software mitigation can be used for firmware mitigation. – (See next page) www.uefi.org 9 3 Levels of Prevention Prevention Method EDKII Open Source Example Eliminate Reduce Attack Surface SMI Handler Profile Vulnerability Static Analysis / Dynamic -
Beyond BIOS Developing with the Unified Extensible Firmware Interface
Digital Edition Digital Editions of selected Intel Press books are in addition to and complement the printed books. Click the icon to access information on other essential books for Developers and IT Professionals Visit our website at www.intel.com/intelpress Beyond BIOS Developing with the Unified Extensible Firmware Interface Second Edition Vincent Zimmer Michael Rothman Suresh Marisetty Copyright © 2010 Intel Corporation. All rights reserved. ISBN 13 978-1-934053-29-4 This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold with the understanding that the publisher is not engaged in professional services. If professional advice or other expert assistance is required, the services of a competent professional person should be sought. Intel Corporation may have patents or pending patent applications, trademarks, copyrights, or other intellectual property rights that relate to the presented subject matter. The furnishing of documents and other materials and information does not provide any license, express or implied, by estoppel or otherwise, to any such patents, trademarks, copyrights, or other intellectual property rights. Intel may make changes to specifications, product descriptions, and plans at any time, without notice. Fictitious names of companies, products, people, characters, and/or data mentioned herein are not intended to represent any real individual, company, product, or event. Intel products are not intended for use in medical, life saving, life sustaining, critical control or safety systems, or in nuclear facility applications. Intel, the Intel logo, Celeron, Intel Centrino, Intel NetBurst, Intel Xeon, Itanium, Pentium, MMX, and VTune are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. -
CHERI C/C++ Programming Guide
UCAM-CL-TR-947 Technical Report ISSN 1476-2986 Number 947 Computer Laboratory CHERI C/C++ Programming Guide Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann June 2020 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 https://www.cl.cam.ac.uk/ c 2020 Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann, SRI International This work was supported by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), under contracts FA8750-10-C-0237 (“CTSRD”) and HR0011-18-C-0016 (“ECATS”). The views, opinions, and/or findings contained in this report are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. This work was supported in part by the Innovate UK project Digital Security by Design (DSbD) Technology Platform Prototype, 105694. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 789108), ERC Advanced Grant ELVER. We also acknowledge the EPSRC REMS Programme Grant (EP/K008528/1), Arm Limited, HP Enterprise, and Google, Inc. Approved for Public Release, Distribution Unlimited. Technical reports published by the University of Cambridge Computer Laboratory are freely available via the Internet: https://www.cl.cam.ac.uk/techreports/ ISSN 1476-2986 3 Abstract This document is a brief introduction to the CHERI C/C++ programming languages. -
Exploring C Semantics and Pointer Provenance
Exploring C Semantics and Pointer Provenance KAYVAN MEMARIAN, University of Cambridge VICTOR B. F. GOMES, University of Cambridge BROOKS DAVIS, SRI International STEPHEN KELL, University of Cambridge ALEXANDER RICHARDSON, University of Cambridge ROBERT N. M. WATSON, University of Cambridge PETER SEWELL, University of Cambridge The semantics of pointers and memory objects in C has been a vexed question for many years. C values cannot be treated as either purely abstract or purely concrete entities: the language exposes their representations, 67 but compiler optimisations rely on analyses that reason about provenance and initialisation status, not just runtime representations. The ISO WG14 standard leaves much of this unclear, and in some respects differs with de facto standard usage — which itself is difficult to investigate. In this paper we explore the possible source-language semantics for memory objects and pointers, in ISO C and in C as it is used and implemented in practice, focussing especially on pointer provenance. We aim to, as far as possible, reconcile the ISO C standard, mainstream compiler behaviour, and the semantics relied on by the corpus of existing C code. We present two coherent proposals, tracking provenance via integers and not; both address many design questions. We highlight some pros and cons and open questions, and illustrate the discussion with a library of test cases. We make our semantics executable as a test oracle, integrating it with the Cerberus semantics for much of the rest of C, which we have made substantially more complete and robust, and equipped with a web-interface GUI. This allows us to experimentally assess our proposals on those test cases. -
Section “Common Predefined Macros” in the C Preprocessor
The C Preprocessor For gcc version 12.0.0 (pre-release) (GCC) Richard M. Stallman, Zachary Weinberg Copyright c 1987-2021 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation. A copy of the license is included in the section entitled \GNU Free Documentation License". This manual contains no Invariant Sections. The Front-Cover Texts are (a) (see below), and the Back-Cover Texts are (b) (see below). (a) The FSF's Front-Cover Text is: A GNU Manual (b) The FSF's Back-Cover Text is: You have freedom to copy and modify this GNU Manual, like GNU software. Copies published by the Free Software Foundation raise funds for GNU development. i Table of Contents 1 Overview :::::::::::::::::::::::::::::::::::::::: 1 1.1 Character sets:::::::::::::::::::::::::::::::::::::::::::::::::: 1 1.2 Initial processing ::::::::::::::::::::::::::::::::::::::::::::::: 2 1.3 Tokenization ::::::::::::::::::::::::::::::::::::::::::::::::::: 4 1.4 The preprocessing language :::::::::::::::::::::::::::::::::::: 6 2 Header Files::::::::::::::::::::::::::::::::::::: 7 2.1 Include Syntax ::::::::::::::::::::::::::::::::::::::::::::::::: 7 2.2 Include Operation :::::::::::::::::::::::::::::::::::::::::::::: 8 2.3 Search Path :::::::::::::::::::::::::::::::::::::::::::::::::::: 9 2.4 Once-Only Headers::::::::::::::::::::::::::::::::::::::::::::: 9 2.5 Alternatives to Wrapper #ifndef :::::::::::::::::::::::::::::: -
Precise Null Pointer Analysis Through Global Value Numbering
Precise Null Pointer Analysis Through Global Value Numbering Ankush Das1 and Akash Lal2 1 Carnegie Mellon University, Pittsburgh, PA, USA 2 Microsoft Research, Bangalore, India Abstract. Precise analysis of pointer information plays an important role in many static analysis tools. The precision, however, must be bal- anced against the scalability of the analysis. This paper focusses on improving the precision of standard context and flow insensitive alias analysis algorithms at a low scalability cost. In particular, we present a semantics-preserving program transformation that drastically improves the precision of existing analyses when deciding if a pointer can alias Null. Our program transformation is based on Global Value Number- ing, a scheme inspired from compiler optimization literature. It allows even a flow-insensitive analysis to make use of branch conditions such as checking if a pointer is Null and gain precision. We perform experiments on real-world code and show that the transformation improves precision (in terms of the number of dereferences proved safe) from 86.56% to 98.05%, while incurring a small overhead in the running time. Keywords: Alias Analysis, Global Value Numbering, Static Single As- signment, Null Pointer Analysis 1 Introduction Detecting and eliminating null-pointer exceptions is an important step towards developing reliable systems. Static analysis tools that look for null-pointer ex- ceptions typically employ techniques based on alias analysis to detect possible aliasing between pointers. Two pointer-valued variables are said to alias if they hold the same memory location during runtime. Statically, aliasing can be de- cided in two ways: (a) may-alias [1], where two pointers are said to may-alias if they can point to the same memory location under some possible execution, and (b) must-alias [27], where two pointers are said to must-alias if they always point to the same memory location under all possible executions. -
Practical C/C++ Programming Part II
Practical C/C++ programming Part II Wei Feinstein HPC User Services Louisiana State University 7/11/18 Practical C/C++ programming II 1 Topics • Pointers in C • Use in functions • Use in arrays • Use in dynamic memory allocation • Introduction to C++ • Changes from C to C++ • C++ classes and objects • Polymorphism • Templates • Inheritance • Introduction to Standard Template Library (STL) 7/11/18 Practical C/C++ programming II 2 What is a pointer? • A pointer is essentially a variable whose value is the address of another variable. • Pointer “points” to a specific part of the memory. • Important concept in C programming language. Not recommended in C++, yet understanding of pointer is necessary in Object Oriented Programming • How to define pointers? int *i_ptr; /* pointer to an integer */ double *d_ptr; /* pointer to a double */ float *f_ptr; /* pointer to a float */ char *ch_ptr; /* pointer to a character */ int **p_ptr; /* pointer to an integer pointer */ 7/11/18 Practical C/C++ programming II 3 Pointer Operations (a) Define a pointer variable. (b) Assign the address of a variable to a pointer. & /* "address of" operator */ (c) Access the value pointed by the pointer by dereferencing * /* “dereferencing" operator */ Examples: int a = 6; int *ptr; ptr = &a; /* pointer p point to a */ *ptr = 10; /* dereference pointer p reassign a value*/ var_name var_address var_value ptr 0x22aac0 0xXXXX a 0xXXXX 6 7/11/18 Practical C/C++ programming II 4 Pointer Example int b = 17; int *p; /* initialize pointer p */ p = &b; /*pointed addr and value, -
Coverity Static Analysis
Coverity Static Analysis Quickly find and fix Overview critical security and Coverity® gives you the speed, ease of use, accuracy, industry standards compliance, and quality issues as you scalability that you need to develop high-quality, secure applications. Coverity identifies code critical software quality defects and security vulnerabilities in code as it’s written, early in the development process when it’s least costly and easiest to fix. Precise actionable remediation advice and context-specific eLearning help your developers understand how to fix their prioritized issues quickly, without having to become security experts. Coverity Benefits seamlessly integrates automated security testing into your CI/CD pipelines and supports your existing development tools and workflows. Choose where and how to do your • Get improved visibility into development: on-premises or in the cloud with the Polaris Software Integrity Platform™ security risk. Cross-product (SaaS), a highly scalable, cloud-based application security platform. Coverity supports 22 reporting provides a holistic, more languages and over 70 frameworks and templates. complete view of a project’s risk using best-in-class AppSec tools. Coverity includes Rapid Scan, a fast, lightweight static analysis engine optimized • Deployment flexibility. You for cloud-native applications and Infrastructure-as-Code (IaC). Rapid Scan runs decide which set of projects to do automatically, without additional configuration, with every Coverity scan and can also AppSec testing for: on-premises be run as part of full CI builds with conventional scan completion times. Rapid Scan can or in the cloud. also be deployed as a standalone scan engine in Code Sight™ or via the command line • Shift security testing left. -
Declare Property Class Accept Null C
Declare Property Class Accept Null C Woesome and nontechnical Joshuah planned inveterately and pull-outs his frontiers sourly and daftly. Unquiet Bernard fly-by very instructively while Rick remains ectotrophic and chastened. Sometimes stereoscopic Addie unnaturalizes her acorns proportionally, but unlidded Cat invert heinously or orientalizes rancorously. Even experts are accepted types and positional parameters and references, and assigns to. Use HasValue property to check has value is assigned to nullable type sometimes not Static Nullable class is a. Thank you declare more freely, declare property class accept null c is useful to provide only one dispiriting aspect of. Here we're defining a suggest that extracts all non-nullable property keys from plant type. By disabling cookies to accept all? The car variable inside counter Person class shouldn't be declared type grass and. Use JSDoc type. Any class property name, null safe code token stream of properties and corresponds to accept a class! Why death concept of properties came into C The decline because not two reasons If the members of a class are private then select another class in C. JavaScript Properties of variables with null or undefined. Type cup type as should pickle the null value variable the pastry of the variable to which null. CS31 Intro to C Structs and Pointers. Using the New Null Conditional Operator in C 6 InformIT. Your extra bet is to get themselves the good group of initializing all variables when you disabled them. This class that null values can declare variables declared inside an exception handling is nullable context switches a varargs in. -
Automated Techniques for Creation and Maintenance of Typescript Declaration Files
Automated Techniques for Creation and Maintenance of TypeScript Declaration Files Erik Krogh Kristensen PhD Dissertation Department of Computer Science Aarhus University Denmark Automated Techniques for Creation and Maintenance of TypeScript Declaration Files A Dissertation Presented to the Faculty of Science and Technology of Aarhus University in Partial Fulfillment of the Requirements for the PhD Degree by Erik Krogh Kristensen August 8, 2019 Abstract JavaScript was initially a scripting language for creating small interactive web pages. However, massive applications, both web pages and server ap- plications, are increasingly being developed using JavaScript. The dynamic nature of the JavaScript language makes it hard to create proper tooling with features such as auto-completion and code-navigation. TypeScript is a JavaScript superset that adds, on top of JavaScript, an optional static type system, which facilitates features such as auto-completion, code navigation, and detection of type errors. However, many TypeScript applications still use untyped libraries written in JavaScript. Developers or users of these JavaScript libraries can choose to write TypeScript declaration files, which provide API models of the libraries and are used to type-check TypeScript applications. These declaration files are, however, written manually and of- ten not by the original authors of the library, which leads to mistakes that can misguide TypeScript application developers and ultimately cause bugs. The goal of this thesis is to design automated techniques for assisting in the development of TypeScript declaration files. This thesis identifies several challenges faced by developers of TypeScript declaration files and tackles these challenges using techniques from programming language re- search. Type inference is used to create new, and update existing, decla- ration files. -
Mixed Messages: Measuring Conformance and Non-Interference in Typescript
Mixed Messages: Measuring Conformance and Non-Interference in TypeScript Jack Williams1, J. Garrett Morris2, Philip Wadler3, and Jakub Zalewski4 1 University of Edinburgh, Edinburgh, Scotland [email protected], 2 University of Edinburgh, Edinburgh, Scotland [email protected] 3 University of Edinburgh, Edinburgh, Scotland [email protected] 4 University of Edinburgh, Edinburgh, Scotland [email protected] Abstract TypeScript participates in the recent trend among programming languages to support gradual typing. The DefinitelyTyped Repository for TypeScript supplies type definitions for over 2000 popular JavaScript libraries. However, there is no guarantee that implementations conform to their corresponding declarations. We present a practical evaluation of gradual typing for TypeScript. We have developed a tool for use with TypeScript, based on the polymorphic blame calculus, for monitoring JavaScript libraries and TypeScript clients against the TypeScript definition. We apply our tool, TypeScript TPD, to those libraries in the DefinitelyTyped Repository which had adequate test code to use. Of the 122 libraries we checked, 62 had cases where either the library or its tests failed to conform to the declaration. Gradual typing should satisfy non-interference. Monitoring a program should never change its behaviour, except to raise a type error should a value not conform to its declared type. However, our experience also suggests serious technical concerns with the use of the JavaScript proxy mechanism for enforcing contracts. Of the 122 libraries we checked, 22 had cases where the library or its tests violated non-interference. 1998 ACM Subject Classification D.2.5 [Software Engineering]: Testing and Debugging Keywords and phrases Gradual Typing, TypeScript, JavaScript, Proxies Digital Object Identifier 10.4230/LIPIcs.ECOOP.2017.39 1 Introduction We have good news and we have bad news. -
Chapter 9 Pointers
Chapter 9 Pointers Objectives ❏ To understand the concept and use of pointers ❏ To be able to declare, define, and initialize pointers ❏ To write programs that access data through pointers ❏ To use pointers as parameters and return types ❏ To understand pointer compatibility, especially regarding pointers to pointers ❏ To understand the role of quality in software engineering Computer Science: A Structured Programming Approach Using C 1 FIGURE 9-1 Derived Types Computer Science: A Structured Programming Approach Using C 2 9-1 Introduction A pointer is a constant or variable that contains an address that can be used to access data. Pointers are built on the basic concept of pointer constants. Topics discussed in this section: Pointer Constants Pointer Values Pointer Variables Accessing Variables Through Pointers Pointer Declaration and Definition Declaration versus Redirection Initialization of Pointer Variables Computer Science: A Structured Programming Approach Using C 3 FIGURE 9-2 Character Constants and Variables Computer Science: A Structured Programming Approach Using C 4 FIGURE 9-3 Pointer Constants Computer Science: A Structured Programming Approach Using C 5 Note Pointer constants, drawn from the set of addresses for a computer, exist by themselves. We cannot change them; we can only use them. Computer Science: A Structured Programming Approach Using C 6 Note An address expression, one of the expression types in the unary expression category, consists of an ampersand (&) and a variable name. Computer Science: A Structured Programming Approach Using C 7 FIGURE 9-4 Print Character Addresses Computer Science: A Structured Programming Approach Using C 8 Note A variable’s address is the first byte occupied by the variable.