Bypassing Memory Leak in Modern C++ Realm
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Ben Livshits 1 Basic Instrumentation
Runtime monitoring CO444H Ben Livshits 1 Basic Instrumentation • Insert additional code into the program • This code is designed to record important events as they occur at runtime • Some examples • A particular function is being hit or a statement is being hit • This leads to function-level or line-level coverage • Each allocation to measure overall memory allocation 2 Levels of Instrumentation • Native code • Instrument machine code • Tools like LLVM are often used for rewriting • Bytecode • Common for languages such as Java and C# • A variety of tools are available for each bytecode format • JoeQ is in this category as well, although it’s a lot more general • Source code • Common for languages like JavaScript • Often the easiest option – parse the code and add more statements 3 Runtime Code Monitoring •Three major examples of monitoring • Purify/Valgrind • Detecting data races • Detecting memory leaks 4 5 Memory Error Detection Purify • C and C++ are not type-safe • The type system and the runtime fail to enforce type safety • What are some of the examples? • Possible to read and write outside of your intended data structures • Write beyond loop bounds • Or object bounds • Or overwrite the code pointer, etc. 6 Track Each Byte of Memory • Three states for every byte of tracker memory • Unallocated: cannot be read or written • Allocated but not initialized: cannot be read • Allocated and initialized: all operations are allowed 7 Instrumentation for Purify • Check the state of each byte at every access • Binary instrumentation: • Add -
Extending the UHC LLVM Backend: Adding Support for Accurate Garbage Collection
Extending the UHC LLVM backend: Adding support for accurate garbage collection Paul van der Ende MSc Thesis October 18, 2010 INF/SCR-09-59 Daily Supervisors: Center for Software Technology dr. A. Dijkstra Dept. of Information and Computing Sciences drs. J.D. Fokker Utrecht University Utrecht, the Netherlands Second Supervisor: prof. dr. S.D. Swierstra Abstract The Utrecht Haskell Compiler has an LLVM backend for whole program analyse mode. This backend pre- viously used the Boehm-Weiser library for heap allocation and conservative garbage collection. Recently an accurate garbage collector for the UHC compiler has been developed. We wanted this new garbage collection library to work with the LLVM backend. But since this new collector is accurate, it needs cooperation with the LLVM backend. Functionality needs to be added to find the set of root references and traversing all live references. To find the root set, the bytecode interpreter backend currently uses static stack maps. This is where the problem arises. The LLVM compiler is known to do various aggressive transformations. These optimizations might change the stack layout described by the static stack map. So to avoid this problem we wanted to use the shadow-stack provided by the LLVM framework. This is a dynamic structure maintained on the stack to safely find the garbage collection roots. We expect that the shadow-stack approach comes with a runtime overhead for maintaining this information dynamically on the stack. So we did measure the impact of this method. We also measured the performance improvement of the new garbage collection method used and compare it with the other UHC backends. -
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 Leak Or Dangling Pointer
Modern C++ for Computer Vision and Image Processing Igor Bogoslavskyi Outline Using pointers Pointers are polymorphic Pointer “this” Using const with pointers Stack and Heap Memory leaks and dangling pointers Memory leak Dangling pointer RAII 2 Using pointers in real world Using pointers for classes Pointers can point to objects of custom classes: 1 std::vector<int> vector_int; 2 std::vector<int >* vec_ptr = &vector_int; 3 MyClass obj; 4 MyClass* obj_ptr = &obj; Call object functions from pointer with -> 1 MyClass obj; 2 obj.MyFunc(); 3 MyClass* obj_ptr = &obj; 4 obj_ptr->MyFunc(); obj->Func() (*obj).Func() ↔ 4 Pointers are polymorphic Pointers are just like references, but have additional useful properties: Can be reassigned Can point to ‘‘nothing’’ (nullptr) Can be stored in a vector or an array Use pointers for polymorphism 1 Derived derived; 2 Base* ptr = &derived; Example: for implementing strategy store a pointer to the strategy interface and initialize it with nullptr and check if it is set before calling its methods 5 1 #include <iostream > 2 #include <vector > 3 using std::cout; 4 struct AbstractShape { 5 virtual void Print() const = 0; 6 }; 7 struct Square : public AbstractShape { 8 void Print() const override { cout << "Square\n";} 9 }; 10 struct Triangle : public AbstractShape { 11 void Print() const override { cout << "Triangle\n";} 12 }; 13 int main() { 14 std::vector<AbstractShape*> shapes; 15 Square square; 16 Triangle triangle; 17 shapes.push_back(&square); 18 shapes.push_back(&triangle); 19 for (const auto* shape : shapes) { shape->Print(); } 20 return 0; 21 } 6 this pointer Every object of a class or a struct holds a pointer to itself This pointer is called this Allows the objects to: Return a reference to themselves: return *this; Create copies of themselves within a function Explicitly show that a member belongs to the current object: this->x(); 7 Using const with pointers Pointers can point to a const variable: 1 // Cannot change value , can reassign pointer. -
Effective and Efficient Memory Protection Using Dynamic Tainting
1 Effective and Efficient Memory Protection Using Dynamic Tainting Ioannis Doudalis, Student Member, IEEE, James Clause, Member, IEEE, Guru Venkataramani, Member, IEEE, Milos Prvulovic, Senior Member, IEEE, and Alessandro Orso, Member, IEEE, ! Abstract—Programs written in languages allowing direct access to pointer p or a pointer derived from p and 2) if the access memory through pointers often contain memory-related faults, which occurs during the interval when p is valid, (i.e. between the cause non-deterministic failures and security vulnerabilities. We present allocation and deallocation of m). All other accesses to m are a new dynamic tainting technique to detect illegal memory accesses. illegal memory accesses (IMAs), where a pointer is used to When memory is allocated, at runtime, we taint both the memory and the corresponding pointer using the same taint mark. Taint marks access memory outside the bounds of the memory area with are then propagated and checked every time a memory address m which it was originally associated, or outside the time period is accessed through a pointer p; if the associated taint marks differ, during which the pointer is valid. an illegal access is reported. To allow always-on checking using a IMAs are especially relevant for several reasons. First, they low-overhead, hardware-assisted implementation, we make several key are caused by typical programming errors, such as array-out- technical decisions. We use a configurable, low number of reusable taint of-bounds accesses and stale pointer dereferences, and are thus marks instead of a unique mark for each allocated area of memory, reducing the performance overhead without losing the ability to target widespread and common. -
Tutorial on Debugging, Memory Leaks and Profiling
High Performance Computing for Science and Engineering I Tutorial on debugging, memory leaks and profiling Michalis Chatzimanolakis Computational Science & Engineering Laboratory OUTLINE - Approaches to debug your code •Using assertions •Using a debugger •Memory sanitation •Using a profiler Assertions in C++ An assertion is a logical statement that will cause your code to abort execution, if it is false. Example: Assertions can affect performance, Assertions perform checks that make sure that as they are essentially ‘if’ statements. some conditions are met. However, it is good practice to add assertions in a code. A simple compilation flag can ignore all assertions, so it is generally a good idea to use them. It is useful to combine assertions with the std functions isinf and isnan They can also be used with screen output. Compiler warnings Compiler warnings are compilation flags that you can (should) add to your Makefiles. Enabling warnings makes the compiler check for several issues in your source file, such as: • Forgetting to initialize a variable • Not using a declared variable • Using a function before declaring it • Having screen/file output with incorrect format (for example, treating doubles as integers) Generally, you should add warnings and try to fix all of them, before proceeding with further debugging your code. Note that different compilers may produce different warnings. The most common compiler warning flags are listed below: -Wall : enables several construction/declaration warnings -Wextra : more warnings than Wall including warnings for unused variables -Werror: will treat all warnings as errors -Wpedantic: warnings related to the use of non standard C++ extensions Using a debugger What is a debugger? A debugger is a program. -
Comparative Studies of Programming Languages; Course Lecture Notes
Comparative Studies of Programming Languages, COMP6411 Lecture Notes, Revision 1.9 Joey Paquet Serguei A. Mokhov (Eds.) August 5, 2010 arXiv:1007.2123v6 [cs.PL] 4 Aug 2010 2 Preface Lecture notes for the Comparative Studies of Programming Languages course, COMP6411, taught at the Department of Computer Science and Software Engineering, Faculty of Engineering and Computer Science, Concordia University, Montreal, QC, Canada. These notes include a compiled book of primarily related articles from the Wikipedia, the Free Encyclopedia [24], as well as Comparative Programming Languages book [7] and other resources, including our own. The original notes were compiled by Dr. Paquet [14] 3 4 Contents 1 Brief History and Genealogy of Programming Languages 7 1.1 Introduction . 7 1.1.1 Subreferences . 7 1.2 History . 7 1.2.1 Pre-computer era . 7 1.2.2 Subreferences . 8 1.2.3 Early computer era . 8 1.2.4 Subreferences . 8 1.2.5 Modern/Structured programming languages . 9 1.3 References . 19 2 Programming Paradigms 21 2.1 Introduction . 21 2.2 History . 21 2.2.1 Low-level: binary, assembly . 21 2.2.2 Procedural programming . 22 2.2.3 Object-oriented programming . 23 2.2.4 Declarative programming . 27 3 Program Evaluation 33 3.1 Program analysis and translation phases . 33 3.1.1 Front end . 33 3.1.2 Back end . 34 3.2 Compilation vs. interpretation . 34 3.2.1 Compilation . 34 3.2.2 Interpretation . 36 3.2.3 Subreferences . 37 3.3 Type System . 38 3.3.1 Type checking . 38 3.4 Memory management . -
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. -
A Statistical Approach for Identifying Memory Leaks in Cloud Applications
A STATISTICAL APPROACH FOR IDENTIFYING MEMORY LEAKS IN CLOUD APPLICATIONS Vladimir Sorˇ and Satish Narayana Srirama Institute of Computer Science, University of Tartu, J. Liivi 2, Tartu, Estonia Keywords: Troubleshooting, JavaTM Virtual Machine, Byte code instrumentation, Cloud computing, Tools. Abstract: This position paper describes the attempt to automate the statistical approach for memory leak detection in JavaTM applications. Proposed system extends the basic statistical memory leak detection method with further intelligence to pinpoint the source of the memory leak in the source code. As the method adds only small overhead in runtime it is designed to be used in production systems and will help detecting memory leaks in production environments without constraint to the source of the leak. Architecture of the proposed approach is intended to use in cloud applications. 1 INTRODUCTION in production under very specific circumstances (of- ten hardly specifiable) can be very hard to find and fix Memory leaks can be a major problem in distributed in development and test environments. applications, depleting their performance, even if they This is the area we think we can improve by de- run on platforms with automatic memory manage- veloping the solution that uses efficient statistical al- ment like Java Virtual Machine. Finding memory gorithm to detect memory leaks in advance, imposes leaks is coveredby many researches and there are sev- low overhead in production system and would help eral tools and methodologies to find memory leaks. tracking down the source of the leak. The rest of the However, these tools are incorporated in profilers and paper is organized as follows. -
Diploma Thesis
Faculty of Computer Science Chair for Real Time Systems Diploma Thesis Porting DotGNU to Embedded Linux Author: Alexander Stein Supervisor: Jun.-Prof. Dr.-Ing. Robert Baumgartl Dipl.-Ing. Ronald Sieber Date of Submission: May 15, 2008 Alexander Stein Porting DotGNU to Embedded Linux Diploma Thesis, Chemnitz University of Technology, 2008 Abstract Programming PLC systems is limited by the provided libraries. In contrary, hardware-near programming needs bigger eorts in e. g. initializing the hardware. This work oers a foundation to combine advantages of both development sides. Therefore, Portable.NET from the DotGNU project has been used, which is an im- plementation of CLI, better known as .NET. The target system is the PLCcore- 5484 microcontroller board, developed by SYS TEC electronic GmbH. Built upon the porting, two variants to use interrupt routines withing the Portabe.NET runtime environment have been analyzed. Finally, the reaction times to occuring interrupt events have been examined and compared. Die Programmierung für SPS-Systeme ist durch die gegebenen Bibliotheken beschränkt, während hardwarenahe Programmierung einen gröÿeren Aufwand durch z.B. Initialisierungen hat. Diese Arbeit bietet eine Grundlage, um die Vorteile bei- der Entwicklungsseiten zu kombinieren. Dafür wurde Portable.NET des DotGNU- Projekts, eine Implementierung des CLI, bekannter unter dem Namen .NET, be- nutzt. Das Zielsystem ist das PLCcore-5484 Mikrocontrollerboard der SYS TEC electronic GmbH. Aufbauend auf der Portierung wurden zwei Varianten zur Ein- bindung von Interrupt-Routinen in die Portable.NET Laufzeitumgebung untersucht. Abschlieÿend wurden die Reaktionszeiten zu eintretenden Interrupts analysiert und verglichen. Acknowledgements I would like to thank some persons who had inuence and supported me in my work. -
Using Cyclic Memory Allocation to Eliminate Memory Leaks
Using Cyclic Memory Allocation to Eliminate Memory Leaks Huu Hai NGUYEN1 and Martin RINARD2 1Singapore-MIT Alliance, National University of Singapore 2CSAIL, Massachusetts Institute of Technology Abstract— We present and evaluate a new memory man- I. INTRODUCTION agement technique for eliminating memory leaks in programs with dynamic memory allocation. This technique observes the A program that uses explicit allocation and deallocation has execution of the program on a sequence of training inputs to a memory leak when it fails to free objects that it will no longer find m-bounded allocation sites, which have the property that at access in the future. A program that uses garbage collection any time during the execution of the program, the program only has a memory leak when it retains references to objects that accesses the last m objects allocated at that site. The technique it will no longer access in the future. Memory leaks are an then transforms the program to use cyclic memory allocation at that site: it preallocates a buffer containing m objects of the issue since they can cause the program to consume increasing type allocated at that site, with each allocation returning the amounts of memory as it runs. Eventually the program may next object in the buffer. At the end of the buffer the allocations exhaust the available memory and fail. Memory leaks may wrap back around to the first object. Cyclic allocation eliminates therefore be especially problematic for server programs that any memory leak at the allocation site — the total amount of must execute for long (and in principle unbounded) periods of memory required to hold all of the objects ever allocated at the site is simply m times the object size. -
Using and Porting the GNU Compiler Collection
Using and Porting the GNU Compiler Collection Richard M. Stallman Last updated 14 June 2001 for gcc-3.0 Copyright c 1988, 1989, 1992, 1993, 1994, 1995, 1996, 1998, 1999, 2000, 2001 Free Software Foundation, Inc. For GCC Version 3.0 Published by the Free Software Foundation 59 Temple Place - Suite 330 Boston, MA 02111-1307, USA Last printed April, 1998. Printed copies are available for $50 each. ISBN 1-882114-37-X Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with the Invariant Sections being “GNU General Public License”, 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. Short Contents Introduction......................................... 1 1 Compile C, C++, Objective C, Fortran, Java ............... 3 2 Language Standards Supported by GCC .................. 5 3 GCC Command Options ............................. 7 4 Installing GNU CC ............................... 111 5 Extensions to the C Language Family .................. 121 6 Extensions to the C++ Language ...................... 165 7 GNU Objective-C runtime features .................... 175 8 gcov: a Test Coverage Program ...................... 181 9 Known Causes of Trouble with GCC ................... 187 10 Reporting Bugs.................................