Testing C Programs for Buffer Overflow Vulnerabilities
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Tesi Final Marco Oliverio.Pdf
i Abstract Advancements in exploitation techniques call for the need of advanced defenses. Modern operating systems have to face new sophisticate attacks that do not rely on any programming mistake, rather they exploit leaking information from computational side effects (side-channel attacks) or hardware glitches (rowhammer attacks). Mitigating these new attacks poses new challanges and involves delicate trade-offs, balancing security on one side and performance, simplicity, and compatibility on the other. In this disseration we explore the attack surface exposed by page fusion, a memory saving optimization in modern operating systems and, after that, a secure page fusion implementation called VUsion is shown. We then propose a complete and compatible software solution to rowhammer attacks called ZebRAM. Lastly, we show OpenCAL, a free and general libray for the implementation of Cellular Automata, that can be used in several security scenarios. iii Acknowledgements I would like to thank my Supervisor prof. Andrea Pugliese for the encouragement and the extremely valuable advice that put me in a fruitful and exciting research direction. A hearty acknowledgment goes to Kaveh Razavi, Cristiano Giuffrida, Herbert Bos and all the VUSec group of the Vrije Universiteit of Amsterdam. I felt at home from day one and I found myself surrounded by brilliant researchers and good friends. v Contents Abstract i Acknowledgements iii Introduction1 1 VUsion3 1.1 Introduction...................................3 1.2 Page Fusion...................................5 1.2.1 Linux Kernel Same-page Merging...................5 1.2.2 Windows Page Fusion.........................7 1.3 Threat Model..................................8 1.4 Known Attack Vectors.............................8 1.4.1 Information Disclosure.........................8 1.4.2 Flip Feng Shui.............................9 1.5 New Attack Vectors.............................. -
An In-Depth Study with All Rust Cves
Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs HUI XU, School of Computer Science, Fudan University ZHUANGBIN CHEN, Dept. of CSE, The Chinese University of Hong Kong MINGSHEN SUN, Baidu Security YANGFAN ZHOU, School of Computer Science, Fudan University MICHAEL R. LYU, Dept. of CSE, The Chinese University of Hong Kong Rust is an emerging programing language that aims at preventing memory-safety bugs without sacrificing much efficiency. The claimed property is very attractive to developers, and many projects start usingthe language. However, can Rust achieve the memory-safety promise? This paper studies the question by surveying 186 real-world bug reports collected from several origins which contain all existing Rust CVEs (common vulnerability and exposures) of memory-safety issues by 2020-12-31. We manually analyze each bug and extract their culprit patterns. Our analysis result shows that Rust can keep its promise that all memory-safety bugs require unsafe code, and many memory-safety bugs in our dataset are mild soundness issues that only leave a possibility to write memory-safety bugs without unsafe code. Furthermore, we summarize three typical categories of memory-safety bugs, including automatic memory reclaim, unsound function, and unsound generic or trait. While automatic memory claim bugs are related to the side effect of Rust newly-adopted ownership-based resource management scheme, unsound function reveals the essential challenge of Rust development for avoiding unsound code, and unsound generic or trait intensifies the risk of introducing unsoundness. Based on these findings, we propose two promising directions towards improving the security of Rust development, including several best practices of using specific APIs and methods to detect particular bugs involving unsafe code. -
Using the GNU Compiler Collection (GCC)
Using the GNU Compiler Collection (GCC) Using the GNU Compiler Collection by Richard M. Stallman and the GCC Developer Community Last updated 23 May 2004 for GCC 3.4.6 For GCC Version 3.4.6 Published by: GNU Press Website: www.gnupress.org a division of the General: [email protected] Free Software Foundation Orders: [email protected] 59 Temple Place Suite 330 Tel 617-542-5942 Boston, MA 02111-1307 USA Fax 617-542-2652 Last printed October 2003 for GCC 3.3.1. Printed copies are available for $45 each. Copyright c 1988, 1989, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004 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 1.2 or any later version published by the Free Software Foundation; with the Invariant Sections being \GNU General Public License" and \Funding Free Software", the Front-Cover texts being (a) (see below), and with the Back-Cover Texts being (b) (see below). A copy of the license is included in the section entitled \GNU Free Documentation License". (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 Short Contents Introduction ...................................... 1 1 Programming Languages Supported by GCC ............ 3 2 Language Standards Supported by GCC ............... 5 3 GCC Command Options ......................... -
Ensuring the Spatial and Temporal Memory Safety of C at Runtime
MemSafe: Ensuring the Spatial and Temporal Memory Safety of C at Runtime Matthew S. Simpson, Rajeev K. Barua Department of Electrical & Computer Engineering University of Maryland, College Park College Park, MD 20742-3256, USA fsimpsom, [email protected] Abstract—Memory access violations are a leading source of dereferencing pointers obtained from invalid pointer arith- unreliability in C programs. As evidence of this problem, a vari- metic; and dereferencing uninitialized, NULL or “manufac- ety of methods exist that retrofit C with software checks to detect tured” pointers.1 A temporal error is a violation caused by memory errors at runtime. However, these methods generally suffer from one or more drawbacks including the inability to using a pointer whose referent has been deallocated (e.g. with detect all errors, the use of incompatible metadata, the need for free) and is no longer a valid object. The most well-known manual code modifications, and high runtime overheads. temporal violations include dereferencing “dangling” point- In this paper, we present a compiler analysis and transforma- ers to dynamically allocated memory and freeing a pointer tion for ensuring the memory safety of C called MemSafe. Mem- more than once. Dereferencing pointers to automatically allo- Safe makes several novel contributions that improve upon previ- ous work and lower the cost of safety. These include (1) a method cated memory (stack variables) is also a concern if the address for modeling temporal errors as spatial errors, (2) a compati- of the referent “escapes” and is made available outside the ble metadata representation combining features of object- and function in which it was defined. -
Improving Memory Management Security for C and C++
Improving memory management security for C and C++ Yves Younan, Wouter Joosen, Frank Piessens, Hans Van den Eynden DistriNet, Katholieke Universiteit Leuven, Belgium Abstract Memory managers are an important part of any modern language: they are used to dynamically allocate memory for use in the program. Many managers exist and depending on the operating system and language. However, two major types of managers can be identified: manual memory allocators and garbage collectors. In the case of manual memory allocators, the programmer must manually release memory back to the system when it is no longer needed. Problems can occur when a programmer forgets to release it (memory leaks), releases it twice or keeps using freed memory. These problems are solved in garbage collectors. However, both manual memory allocators and garbage collectors store management information for the memory they manage. Often, this management information is stored where a buffer overflow could allow an attacker to overwrite this information, providing a reliable way to achieve code execution when exploiting these vulnerabilities. In this paper we describe several vulnerabilities for C and C++ and how these could be exploited by modifying the management information of a representative manual memory allocator and a garbage collector. Afterwards, we present an approach that, when applied to memory managers, will protect against these attack vectors. We implemented our approach by modifying an existing widely used memory allocator. Benchmarks show that this implementation has a negligible, sometimes even beneficial, impact on performance. 1 Introduction Security has become an important concern for all computer users. Worms and hackers are a part of every day internet life. -
Memory Tagging and How It Improves C/C++ Memory Safety Kostya Serebryany, Evgenii Stepanov, Aleksey Shlyapnikov, Vlad Tsyrklevich, Dmitry Vyukov Google February 2018
Memory Tagging and how it improves C/C++ memory safety Kostya Serebryany, Evgenii Stepanov, Aleksey Shlyapnikov, Vlad Tsyrklevich, Dmitry Vyukov Google February 2018 Introduction 2 Memory Safety in C/C++ 2 AddressSanitizer 2 Memory Tagging 3 SPARC ADI 4 AArch64 HWASAN 4 Compiler And Run-time Support 5 Overhead 5 RAM 5 CPU 6 Code Size 8 Usage Modes 8 Testing 9 Always-on Bug Detection In Production 9 Sampling In Production 10 Security Hardening 11 Strengths 11 Weaknesses 12 Legacy Code 12 Kernel 12 Uninitialized Memory 13 Possible Improvements 13 Precision Of Buffer Overflow Detection 13 Probability Of Bug Detection 14 Conclusion 14 Introduction Memory safety in C and C++ remains largely unresolved. A technique usually called “memory tagging” may dramatically improve the situation if implemented in hardware with reasonable overhead. This paper describes two existing implementations of memory tagging: one is the full hardware implementation in SPARC; the other is a partially hardware-assisted compiler-based tool for AArch64. We describe the basic idea, evaluate the two implementations, and explain how they improve memory safety. This paper is intended to initiate a wider discussion of memory tagging and to motivate the CPU and OS vendors to add support for it in the near future. Memory Safety in C/C++ C and C++ are well known for their performance and flexibility, but perhaps even more for their extreme memory unsafety. This year we are celebrating the 30th anniversary of the Morris Worm, one of the first known exploitations of a memory safety bug, and the problem is still not solved. -
Statically Detecting Likely Buffer Overflow Vulnerabilities
Statically Detecting Likely Buffer Overflow Vulnerabilities David Larochelle [email protected] University of Virginia, Department of Computer Science David Evans [email protected] University of Virginia, Department of Computer Science Abstract Buffer overflow attacks may be today’s single most important security threat. This paper presents a new approach to mitigating buffer overflow vulnerabilities by detecting likely vulnerabilities through an analysis of the program source code. Our approach exploits information provided in semantic comments and uses lightweight and efficient static analyses. This paper describes an implementation of our approach that extends the LCLint annotation-assisted static checking tool. Our tool is as fast as a compiler and nearly as easy to use. We present experience using our approach to detect buffer overflow vulnerabilities in two security-sensitive programs. 1. Introduction ed a prototype tool that does this by extending LCLint [Evans96]. Our work differs from other work on static detection of buffer overflows in three key ways: (1) we Buffer overflow attacks are an important and persistent exploit semantic comments added to source code to security problem. Buffer overflows account for enable local checking of interprocedural properties; (2) approximately half of all security vulnerabilities we focus on lightweight static checking techniques that [CWPBW00, WFBA00]. Richard Pethia of CERT have good performance and scalability characteristics, identified buffer overflow attacks as the single most im- but sacrifice soundness and completeness; and (3) we portant security problem at a recent software introduce loop heuristics, a simple approach for engineering conference [Pethia00]; Brian Snow of the efficiently analyzing many loops found in typical NSA predicted that buffer overflow attacks would still programs. -
Buffer Overflows Buffer Overflows
L15: Buffer Overflow CSE351, Spring 2017 Buffer Overflows CSE 351 Spring 2017 Instructor: Ruth Anderson Teaching Assistants: Dylan Johnson Kevin Bi Linxing Preston Jiang Cody Ohlsen Yufang Sun Joshua Curtis L15: Buffer Overflow CSE351, Spring 2017 Administrivia Homework 3, due next Friday May 5 Lab 3 coming soon 2 L15: Buffer Overflow CSE351, Spring 2017 Buffer overflows Address space layout (more details!) Input buffers on the stack Overflowing buffers and injecting code Defenses against buffer overflows 3 L15: Buffer Overflow CSE351, Spring 2017 not drawn to scale Review: General Memory Layout 2N‐1 Stack Stack . Local variables (procedure context) Heap . Dynamically allocated as needed . malloc(), calloc(), new, … Heap Statically allocated Data . Read/write: global variables (Static Data) Static Data . Read‐only: string literals (Literals) Code/Instructions Literals . Executable machine instructions Instructions . Read‐only 0 4 L15: Buffer Overflow CSE351, Spring 2017 not drawn to scale x86‐64 Linux Memory Layout 0x00007FFFFFFFFFFF Stack Stack . Runtime stack has 8 MiB limit Heap Heap . Dynamically allocated as needed . malloc(), calloc(), new, … Statically allocated data (Data) Shared Libraries . Read‐only: string literals . Read/write: global arrays and variables Code / Shared Libraries Heap . Executable machine instructions Data . Read‐only Instructions Hex Address 0x400000 0x000000 5 L15: Buffer Overflow CSE351, Spring 2017 not drawn to scale Memory Allocation Example Stack char big_array[1L<<24]; /* 16 MB */ char huge_array[1L<<31]; /* 2 GB */ int global = 0; Heap int useless() { return 0; } int main() { void *p1, *p2, *p3, *p4; Shared int local = 0; Libraries p1 = malloc(1L << 28); /* 256 MB */ p2 = malloc(1L << 8); /* 256 B */ p3 = malloc(1L << 32); /* 4 GB */ p4 = malloc(1L << 8); /* 256 B */ Heap /* Some print statements .. -
Aliasing Restrictions of C11 Formalized in Coq
Aliasing restrictions of C11 formalized in Coq Robbert Krebbers Radboud University Nijmegen December 11, 2013 @ CPP, Melbourne, Australia int f(int *p, int *q) { int x = *p; *q = 314; return x; } If p and q alias, the original value n of *p is returned n p q Optimizing x away is unsound: 314 would be returned Alias analysis: to determine whether pointers can alias Aliasing Aliasing: multiple pointers referring to the same object Optimizing x away is unsound: 314 would be returned Alias analysis: to determine whether pointers can alias Aliasing Aliasing: multiple pointers referring to the same object int f(int *p, int *q) { int x = *p; *q = 314; return x; } If p and q alias, the original value n of *p is returned n p q Alias analysis: to determine whether pointers can alias Aliasing Aliasing: multiple pointers referring to the same object int f(int *p, int *q) { int x = *p; *q = 314; return x *p; } If p and q alias, the original value n of *p is returned n p q Optimizing x away is unsound: 314 would be returned Aliasing Aliasing: multiple pointers referring to the same object int f(int *p, int *q) { int x = *p; *q = 314; return x; } If p and q alias, the original value n of *p is returned n p q Optimizing x away is unsound: 314 would be returned Alias analysis: to determine whether pointers can alias It can still be called with aliased pointers: x union { int x; float y; } u; y u.x = 271; return h(&u.x, &u.y); &u.x &u.y C89 allows p and q to be aliased, and thus requires it to return 271 C99/C11 allows type-based alias analysis: I A compiler -
Memory Vulnerability Diagnosis for Binary Program
ITM Web of Conferences 7 03004 , (2016) DOI: 10.1051/itmconf/20160703004 ITA 2016 Memory Vulnerability Diagnosis for Binary Program Feng-Yi TANG, Chao FENG and Chao-Jing TANG College of Electronic Science and Engineering National University of Defense Technology Changsha, China Abstract. Vulnerability diagnosis is important for program security analysis. It is a further step to understand the vulnerability after it is detected, as well as a preparatory step for vulnerability repair or exploitation. This paper mainly analyses the inner theories of major memory vulnerabilities and the threats of them. And then suggests some methods to diagnose several types of memory vulnerabilities for the binary programs, which is a difficult task due to the lack of source code. The diagnosis methods target at buffer overflow, use after free (UAF) and format string vulnerabilities. We carried out some tests on the Linux platform to validate the effectiveness of the diagnosis methods. It is proved that the methods can judge the type of the vulnerability given a binary program. 1 Introduction (or both) the memory area. These headers can contain some information like size, used or not, and etc. Memory vulnerabilities are difficult to detect and diagnose Therefore, we can monitor the allocator so as to especially for those do not crash the program. Due to its determine the base address and the size of the allocation importance, vulnerability diagnosis problem has been areas. Then, check all STORE and LOAD accesses in intensively studied. Researchers have proposed different memory to see which one is outside the allocated area. techniques to diagnose memory vulnerabilities. -
Teach Yourself Perl 5 in 21 Days
Teach Yourself Perl 5 in 21 days David Till Table of Contents: Introduction ● Who Should Read This Book? ● Special Features of This Book ● Programming Examples ● End-of-Day Q& A and Workshop ● Conventions Used in This Book ● What You'll Learn in 21 Days Week 1 Week at a Glance ● Where You're Going Day 1 Getting Started ● What Is Perl? ● How Do I Find Perl? ❍ Where Do I Get Perl? ❍ Other Places to Get Perl ● A Sample Perl Program ● Running a Perl Program ❍ If Something Goes Wrong ● The First Line of Your Perl Program: How Comments Work ❍ Comments ● Line 2: Statements, Tokens, and <STDIN> ❍ Statements and Tokens ❍ Tokens and White Space ❍ What the Tokens Do: Reading from Standard Input ● Line 3: Writing to Standard Output ❍ Function Invocations and Arguments ● Error Messages ● Interpretive Languages Versus Compiled Languages ● Summary ● Q&A ● Workshop ❍ Quiz ❍ Exercises Day 2 Basic Operators and Control Flow ● Storing in Scalar Variables Assignment ❍ The Definition of a Scalar Variable ❍ Scalar Variable Syntax ❍ Assigning a Value to a Scalar Variable ● Performing Arithmetic ❍ Example of Miles-to-Kilometers Conversion ❍ The chop Library Function ● Expressions ❍ Assignments and Expressions ● Other Perl Operators ● Introduction to Conditional Statements ● The if Statement ❍ The Conditional Expression ❍ The Statement Block ❍ Testing for Equality Using == ❍ Other Comparison Operators ● Two-Way Branching Using if and else ● Multi-Way Branching Using elsif ● Writing Loops Using the while Statement ● Nesting Conditional Statements ● Looping Using -
User-Directed Loop-Transformations in Clang
User-Directed Loop-Transformations in Clang Michael Kruse Hal Finkel Argonne Leadership Computing Facility Argonne Leadership Computing Facility Argonne National Laboratory Argonne National Laboratory Argonne, USA Argonne, USA [email protected] hfi[email protected] Abstract—Directives for the compiler such as pragmas can Only #pragma unroll has broad support. #pragma ivdep made help programmers to separate an algorithm’s semantics from popular by icc and Cray to help vectorization is mimicked by its optimization. This keeps the code understandable and easier other compilers as well, but with different interpretations of to optimize for different platforms. Simple transformations such as loop unrolling are already implemented in most mainstream its meaning. However, no compiler allows applying multiple compilers. We recently submitted a proposal to add generalized transformations on a single loop systematically. loop transformations to the OpenMP standard. We are also In addition to straightforward trial-and-error execution time working on an implementation in LLVM/Clang/Polly to show its optimization, code transformation pragmas can be useful for feasibility and usefulness. The current prototype allows applying machine-learning assisted autotuning. The OpenMP approach patterns common to matrix-matrix multiplication optimizations. is to make the programmer responsible for the semantic Index Terms—OpenMP, Pragma, Loop Transformation, correctness of the transformation. This unfortunately makes it C/C++, Clang, LLVM, Polly hard for an autotuner which only measures the timing difference without understanding the code. Such an autotuner would I. MOTIVATION therefore likely suggest transformations that make the program Almost all processor time is spent in some kind of loop, and return wrong results or crash.