An Examination of the Generic Memory Corruption Exploit Prevention
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Defeating Memory Corruption Attacks Via Pointer Taintedness Detection
Defeating Memory Corruption Attacks via Pointer Taintedness Detection Shuo Chen †, Jun Xu ‡, Nithin Nakka †, Zbigniew Kalbarczyk †, Ravishankar K. Iyer † † Center for Reliable and High-Performance Computing, ‡ Department of Computer Science University of Illinois at Urbana-Champaign, North Carolina State University 1308 W. Main Street, Urbana, IL 61801 Raleigh, NC 27695 {shuochen, nakka, kalbar, iyer}@crhc.uiuc.edu [email protected] Abstract formal methods have been adopted to prevent Most malicious attacks compromise system security programmers from writing insecure software. But despite through memory corruption exploits. Recently proposed substantial research and investment, the state of the art is techniques attempt to defeat these attacks by protecting far from perfect, and as a result, security vulnerabilities are program control data. We have constructed a new class of constantly being discovered in the field. The most direct attacks that can compromise network applications without counter-measure against vulnerabilities in the field is tampering with any control data. These non-control data security patching. Patching, however, is reactive in nature attacks represent a new challenge to system security. In and can only be applied to known vulnerabilities. The long this paper, we propose an architectural technique to latency between bug discovery and patching allows defeat both control data and non-control data attacks attackers to compromise many unpatched systems. An based on the notion of pointer taintedness . A pointer is alternative to patching is runtime vulnerability masking said to be tainted if user input can be used as the pointer that can stop ongoing attacks. Compiler and library value. A security attack is detected whenever a tainted interception techniques have been proposed to mask value is dereferenced during program execution. -
Representing and Reasoning About Dynamic Code
Representing and reasoning about dynamic code Item Type Proceedings Authors Bartels, Jesse; Stephens, Jon; Debray, Saumya Citation Bartels, J., Stephens, J., & Debray, S. (2020, September). Representing and Reasoning about Dynamic Code. In 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 312-323). IEEE. DOI 10.1145/3324884.3416542 Publisher ACM Journal Proceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020 Rights © 2020 Association for Computing Machinery. Download date 23/09/2021 23:26:56 Item License http://rightsstatements.org/vocab/InC/1.0/ Version Final accepted manuscript Link to Item http://hdl.handle.net/10150/652285 Representing and Reasoning about Dynamic Code Jesse Bartels Jon Stephens Saumya Debray Department of Computer Science Department of Computer Science Department of Computer Science The University Of Arizona University Of Texas The University Of Arizona Tucson, AZ 85721, USA Austin, TX 78712, USA Tucson, AZ 85721, USA [email protected] [email protected] [email protected] ABSTRACT and trace dependencies back, into and through the JIT compiler’s Dynamic code, i.e., code that is created or modified at runtime, is code, to understand the data and control flows that influenced the ubiquitous in today’s world. The behavior of dynamic code can JIT compiler’s actions and caused the generation of the problem- depend on the logic of the dynamic code generator in subtle and non- atic code. E.g., for the CVE-2017-5121 bug mentioned above, we obvious ways, e.g., JIT compiler bugs can lead to exploitable vul- might want to perform automated analyses to identify which anal- nerabilities in the resulting JIT-compiled code. -
Sok: Make JIT-Spray Great Again
SoK: Make JIT-Spray Great Again Robert Gawlik and Thorsten Holz Ruhr-Universitat¨ Bochum Abstract Attacks against client-side programs such as browsers were at first tackled with a non-executable stack to pre- Since the end of the 20th century, it has become clear that vent execution of data on the stack and also with a non- web browsers will play a crucial role in accessing Internet executable heap to stop heap sprays of data being later resources such as the World Wide Web. They evolved executed as code. This defense became widely known into complex software suites that are able to process a as W ⊕ X (Writable xor eXecutable) or Data Execution multitude of data formats. Just-In-Time (JIT) compilation Prevention (DEP) to make any data region non-executable was incorporated to speed up the execution of script code, in 2003 [45, 54]. To counter DEP, attackers started to per- but is also used besides web browsers for performance form code reuse such as Return-Oriented Programming reasons. Attackers happily welcomed JIT in their own (ROP) and many variants [10, 11, 32, 68]. In general, if an way, and until today, JIT compilers are an important target adversary knows the location of static code in the address of various attacks. This includes for example JIT-Spray, space of the vulnerable target, she can prepare a fake stack JIT-based code-reuse attacks and JIT-specific flaws to cir- with addresses of these gadgets. As soon as control of cumvent mitigation techniques in order to simplify the the instruction pointer is gained, these gadgets execute exploitation of memory-corruption vulnerabilities. -
Rockjit: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity
RockJIT: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity Ben Niu Gang Tan Lehigh University Lehigh University 19 Memorial Dr West 19 Memorial Dr West Bethlehem, PA, 18015 Bethlehem, PA, 18015 [email protected] [email protected] ABSTRACT For performance, modern managed language implementations Managed languages such as JavaScript are popular. For perfor- adopt Just-In-Time (JIT) compilation. Instead of performing pure mance, modern implementations of managed languages adopt Just- interpretation, a JIT compiler dynamically compiles programs into In-Time (JIT) compilation. The danger to a JIT compiler is that an native code and performs optimization on the fly based on informa- attacker can often control the input program and use it to trigger a tion collected through runtime profiling. JIT compilation in man- vulnerability in the JIT compiler to launch code injection or JIT aged languages is the key to high performance, which is often the spraying attacks. In this paper, we propose a general approach only metric when comparing JIT engines, as seen in the case of called RockJIT to securing JIT compilers through Control-Flow JavaScript. Hereafter, we use the term JITted code for native code Integrity (CFI). RockJIT builds a fine-grained control-flow graph that is dynamically generated by a JIT compiler, and code heap for from the source code of the JIT compiler and dynamically up- memory pages that hold JITted code. dates the control-flow policy when new code is generated on the fly. In terms of security, JIT brings its own set of challenges. First, a Through evaluation on Google’s V8 JavaScript engine, we demon- JIT compiler is large and usually written in C/C++, which lacks strate that RockJIT can enforce strong security on a JIT compiler, memory safety. -
Rust: Systems Programmers Can Have Nice Things
Rust: Systems Programmers Can Have Nice Things Arun Thomas [email protected] @arunthomas EuroBSDCon 2019 On Systems Programming [A] systems programmer has seen the terrors of the world and understood the intrinsic horror of existence -James Mickens, The Night Watch 2 What Makes Systems Software Hard? • Stakes are High: Systems software is critical to enforcing security and safety • Kernels, hypervisors, firmware, bootloaders, embedded software, language runtimes, browsers, … • Usually written in C or C++ for performance • BUT C and C++ are not memory-safe • Memory corruption vulnerabilities abound (and are exploited) • See recent Microsoft study (next slide) 3 Memory Unsafety is a Problem https://msrc-blog.microsoft.com/2019/07/16/a-proactive-approach-to-more-secure-code/ Microsoft found ~70% of CVEs in their products each year continue to be memory safety issues (Matt Miller, MSRC @ Blue Hat IL 2019) 4 Microsoft and Rust 5 Intel and Rust 6 Talk Overview “Systems Programmers Can Have Nice Things” -Robert O’Callahan Random Thoughts On Rust • Why Rust? • Rust for Systems Software • Getting Started with Rust on BSD 7 Why ust? 8 I like C. 9 But it turns out programming languages have evolved in the last 50 years. 10 Rust is a safe, fast, productive systems programming language. 11 Mozilla and Rust • Rust was originally created by Mozilla Research • Initial use case: Servo browser engine • Mozilla began shipping Rust components in Firefox 48 in 2016 • Oxidation is Mozilla’s term for “Rusting out” components • Rust code has improved Firefox’s -
Memory Corruption Vulnerabilities, Part II Gang Tan Penn State University Spring 2019
Memory Corruption Vulnerabilities, Part II Gang Tan Penn State University Spring 2019 CMPSC 447, Software Security Integer Overflow Vulnerabilities * slides adapted from those by Seacord 3 Integer Overflows An integer overflow occurs when an integer is increased beyond its maximum value or decreased beyond its minimum value Standard integer types (signed) signed char, short int, int, long int, long long int Signed overflow vs unsigned overflow An unsigned overflow occurs when the underlying representation can no longer represent an integer value. A signed overflow occurs when a value is carried over to the sign bit 4 Overflow Examples unsigned int ui; signed int si; ui = UINT_MAX; // 4,294,967,295; ui++; ui = 0 printf(“ui = %u\n", ui); si = INT_MAX; // 2,147,483,647 si++; si = -2,147,483,648 printf(“si = %d\n", si); 5 Overflow Examples, cont’d ui = 0; ui‐‐; ui = 4,294,967,295 printf(“ui = %u\n", ui); si = INT_MIN; // ‐2,147,483,648; si‐‐; si = 2,147,483,647 printf(“si = %d\n", si); 6 Integer Overflow Example int main(int argc, char *const *argv) { unsigned short int total; total = strlen(argv[1]) + strlen(argv[2]) + 1; char *buff = (char *) malloc(total); strcpy(buff, argv[1]); strcat(buff, argv[2]); } What if the total variable is overflowed because of the addition operation? 7 Vulnerability: JPEG Example Based on a real‐world vulnerability in the handling of the comment field in JPEG files void getComment(unsigned int len, char *src) { unsigned int size; size is interpreted as a large size = len ‐ 2; positive value of 0xffffffff -
A Buffer Overflow Study
A Bu®er Overflow Study Attacks & Defenses Pierre-Alain FAYOLLE, Vincent GLAUME ENSEIRB Networks and Distributed Systems 2002 Contents I Introduction to Bu®er Overflows 5 1 Generalities 6 1.1 Process memory . 6 1.1.1 Global organization . 6 1.1.2 Function calls . 8 1.2 Bu®ers, and how vulnerable they may be . 10 2 Stack overflows 12 2.1 Principle . 12 2.2 Illustration . 12 2.2.1 Basic example . 13 2.2.2 Attack via environment variables . 14 2.2.3 Attack using gets . 16 3 Heap overflows 18 3.1 Terminology . 18 3.1.1 Unix . 18 3.1.2 Windows . 18 3.2 Motivations and Overview . 18 3.3 Overwriting pointers . 19 3.3.1 Di±culties . 20 3.3.2 Interest of the attack . 20 3.3.3 Practical study . 20 3.4 Overwriting function pointers . 24 3.4.1 Pointer to function: short reminder . 24 3.4.2 Principle . 24 3.4.3 Example . 25 3.5 Trespassing the heap with C + + . 28 3.5.1 C++ Background . 28 3.5.2 Overwriting the VPTR . 31 3.5.3 Conclusions . 32 3.6 Exploiting the malloc library . 33 3.6.1 DLMALLOC: structure . 33 3.6.2 Corruption of DLMALLOC: principle . 34 II Protection solutions 37 4 Introduction 38 1 5 How does Libsafe work? 39 5.1 Presentation . 39 5.2 Why are the functions of the libC unsafe ? . 39 5.3 What does libsafe provide ? . 40 6 The Grsecurity Kernel patch 41 6.1 Open Wall: non-executable stack . -
Chapter 10 Buffer Overflow Buffer Overflow
Chapter 10 Buffer Overflow Buffer Overflow ● Common attack mechanism ○ first wide use by the Morris Worm in 1988 ● Prevention techniques known ○ NX bit, stack canaries, ASLR ● Still of major concern ○ Recent examples: Shellshock, Hearthbleed Buffer Overflow/Buffer Overrun Definition: A condition at an interface under which more input can be placed into a buffer or data holding area than the capacity allocated, overwriting other information. Attackers exploit such a condition to crash a system or to insert specially crafted code that allows them to gain control of the system. Buffer Overflow Basics ● Programming error when a process attempts to store data beyond the limits of a fixed-sized buffer ● Overwrites adjacent memory locations ○ locations may hold other program variables, parameters, or program control flow data ○ buffer could be located on the stack, in the heap, or in the data section of the process ● Consequences: ○ corruption of program data ○ unexpected transfer of control ○ memory access violations Basic Buffer Overflow Example Basic Buffer Overflow Stack Values Buffer Overflow Attacks Attacker needs: ● To identify a buffer overflow vulnerability in some program that can be triggered using externally sourced data under the attacker’s control ● To understand how that buffer is stored in memory and determine potential for corruption Identifying vulnerable programs can be done by: ● inspection of program source ● tracing the execution of programs as they process oversized input ● using tools such as fuzzing to automatically identify -
Towards Efficient Heap Overflow Discovery
Towards Efficient Heap Overflow Discovery Xiangkun Jia, TCA/SKLCS, Institute of Software, Chinese Academy of Sciences; Chao Zhang, Institute for Network Science and Cyberspace, Tsinghua University; Purui Su, Yi Yang, Huafeng Huang, and Dengguo Feng, TCA/SKLCS, Institute of Software, Chinese Academy of Sciences https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/jia This paper is included in the Proceedings of the 26th USENIX Security Symposium August 16–18, 2017 • Vancouver, BC, Canada ISBN 978-1-931971-40-9 Open access to the Proceedings of the 26th USENIX Security Symposium is sponsored by USENIX Towards Efficient Heap Overflow Discovery Xiangkun Jia1;3, Chao Zhang2 , Purui Su1;3 , Yi Yang1, Huafeng Huang1, Dengguo Feng1 1TCA/SKLCS, Institute of Software, Chinese Academy of Sciences 2Institute for Network Science and Cyberspace 3University of Chinese Academy of Sciences Tsinghua University {jiaxiangkun, yangyi, huanghuafeng, feng}@tca.iscas.ac.cn [email protected] [email protected] Abstract to attack. As the heap layout is not deterministic, heap Heap overflow is a prevalent memory corruption vulner- overflow vulnerabilities are in general harder to exploit ability, playing an important role in recent attacks. Find- than stack corruption vulnerabilities. But attackers could ing such vulnerabilities in applications is thus critical for utilize techniques like heap spray [16] and heap feng- security. Many state-of-art solutions focus on runtime shui [43] to arrange the heap layout and reliably launch detection, requiring abundant inputs to explore program attacks, making heap overflow a realistic threat. paths in order to reach a high code coverage and luckily Several solutions are proposed to protect heap overflow trigger security violations. -
Practical Control-Flow Integrity
Practical Control-Flow Integrity by Ben Niu Presented to the Graduate and Research Committee of Lehigh University in Candidacy for the Degree of Doctor of Philosophy in Computer Science Lehigh University January, 2016 Copyright © 2015 Ben Niu. All rights reserved. ii Approved and recommended for acceptance as a dissertation in partial fulfillment of the re- quirements for the degree of Doctor of Philosophy. Ben Niu Practical Control-Flow Integrity Date Gang Tan, Dissertation Director Accepted Date Committee Members Gang Tan (Chair) Mooi-Choo Chuah Michael Spear Stephen McCamant iii ACKNOWLEDGEMENTS I am very grateful to my great advisor Prof. Gang Tan. I had no idea how to do research when I came to Lehigh, and he taught me what to think of, how to think, how to present my thoughts, and how to write them down. His door was always open for discussion, he replied emails during weekends, and he provided detailed guidance on any technical problem. I was constantly surprised at his breadth of knowledge and depth of understanding, and I enjoyed working with him. I also thank my thesis committee members, Prof. Mooi-Choo Chuah, Prof. Michael Spear, and Prof. Stephen McCamant for their courses, research works and insightful comments on my research. Michael’s parallel programming course introduced me lock-free algorithms and his operating system course consolidated my system programming skills. Stephen’s research on SFI provided me a foundation in my research, without which I would be still looking for decent solutions. I appreciate my colleagues at MSRC during my internship at Microsoft, especially Matt & Ken, Suha, Vishal, Swamy, Joe, Axel and Marcus. -
Comprehensively and Efficiently Protecting the Heap ∗
Appears in the Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS XII), October 2006. Comprehensively and Efficiently Protecting the Heap ∗ Mazen Kharbutli Xiaowei Jiang Yan Solihin Guru Venkataramani Milos Prvulovic Jordan Univ. of Science and Technology North Carolina State University Georgia Institute of Technology [email protected] {xjiang,solihin}@ece.ncsu.edu {guru,milos}@cc.gatech.edu Abstract of altering the program behavior when it uses V . Attackers may use The goal of this paper is to propose a scheme that provides com- a variety of well-known techniques to overwrite M with V ,suchas prehensive security protection for the heap. Heap vulnerabilities are buffer overflows, integer overflows,andformat strings, typically by increasingly being exploited for attacks on computer programs. In supplying unexpected external input (e.g. network packets) to the most implementations, the heap management library keeps the heap application. The desired program behavior alteration may include meta-data (heap structure information) and the application’s heap direct control flow modifications in which M contains control flow data in an interleaved fashion and does not protect them against information such as function pointers, return addresses, and condi- each other. Such implementations are inherently unsafe: vulnera- tional branch target addresses. Alternatively, attackers may choose bilities in the application can cause the heap library to perform un- to indirectly change program behavior by modifying critical data intended actions to achieve control-flow and non-control attacks. that determines program behavior. Unfortunately, current heap protection techniques are limited Researchers have shown that the stack is vulnerable to over- in that they use too many assumptions on how the attacks will writes, so many protection schemes have been proposed to protect be performed, require new hardware support, or require too many it. -
Semi-Synchronized Non-Blocking Concurrent Kernel Cruising
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCC.2020.2970183, IEEE Transactions on Cloud Computing IEEE TRANSACTIONS ON CLOUD COMPUTING 1 Semi-synchronized Non-blocking Concurrent Kernel Cruising Donghai Tian, Qiang Zeng, Dinghao Wu, Member, IEEE,Peng Liu, Member, IEEE, Changzhen Hu Abstract—Kernel heap buffer overflow vulnerabilities have been exposed for decades, but there are few practical countermeasure that can be applied to OS kernels. Previous solutions either suffer from high performance overhead or compatibility problems with mainstream kernels and hardware. In this paper, we present KRUISER, a concurrent kernel heap buffer overflow monitor. Unlike conventional methods, the security enforcement of which is usually inlined into the kernel execution, Kruiser migrates security enforcement from the kernel’s normal execution to a concurrent monitor process, leveraging the increasingly popular multi-core architectures. To reduce the synchronization overhead between the monitor process and the running kernel, we design a novel semi-synchronized non-blocking monitoring algorithm, which enables efficient runtime detection on live memory without incurring false positives. To prevent the monitor process from being tampered and provide guaranteed performance isolation, we utilize the virtualization technology to run the monitor process out of the monitored VM, while heap memory allocation information is collected inside the monitored VM in a secure and efficient way. The hybrid VM monitoring technique combined with the secure canary that cannot be counterfeited by attackers provides guaranteed overflow detection with high efficiency.