Dynamic Binary Analysis and Instrumentation Nicholas Nethercote
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Arxiv:2006.14147V2 [Cs.CR] 26 Mar 2021
FastSpec: Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings M. Caner Tol Berk Gulmezoglu Koray Yurtseven Berk Sunar Worcester Polytechnic Institute Iowa State University Worcester Polytechnic Institute Worcester Polytechnic Institute [email protected] [email protected] [email protected] [email protected] Abstract—Several techniques have been proposed to detect [4] are implemented against the SGX environment and vulnerable Spectre gadgets in widely deployed commercial even remotely over the network [5]. These attacks show software. Unfortunately, detection techniques proposed so the applicability of Spectre attacks in the wild. far rely on hand-written rules which fall short in covering Unfortunately, chip vendors try to patch the leakages subtle variations of known Spectre gadgets as well as demand one-by-one with microcode updates rather than fixing a huge amount of time to analyze each conditional branch the flaws by changing their hardware designs. Therefore, in software. Moreover, detection tool evaluations are based developers rely on automated malware analysis tools to only on a handful of these gadgets, as it requires arduous eliminate mistakenly placed Spectre gadgets in their pro- effort to craft new gadgets manually. grams. The proposed detection tools mostly implement In this work, we employ both fuzzing and deep learning taint analysis [6] and symbolic execution [7], [8] to iden- techniques to automate the generation and detection of tify potential gadgets in benign applications. However, Spectre gadgets. We first create a diverse set of Spectre-V1 the methods proposed so far are associated with two gadgets by introducing perturbations to the known gadgets. shortcomings: (1) the low number of Spectre gadgets Using mutational fuzzing, we produce a data set with more prevents the comprehensive evaluation of the tools, (2) than 1 million Spectre-V1 gadgets which is the largest time consumption exponentially increases when the binary Spectre gadget data set built to date. -
Automatic Benchmark Profiling Through Advanced Trace Analysis Alexis Martin, Vania Marangozova-Martin
Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin, Vania Marangozova-Martin To cite this version: Alexis Martin, Vania Marangozova-Martin. Automatic Benchmark Profiling through Advanced Trace Analysis. [Research Report] RR-8889, Inria - Research Centre Grenoble – Rhône-Alpes; Université Grenoble Alpes; CNRS. 2016. hal-01292618 HAL Id: hal-01292618 https://hal.inria.fr/hal-01292618 Submitted on 24 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin , Vania Marangozova-Martin RESEARCH REPORT N° 8889 March 23, 2016 Project-Team Polaris ISSN 0249-6399 ISRN INRIA/RR--8889--FR+ENG Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin ∗ † ‡, Vania Marangozova-Martin ∗ † ‡ Project-Team Polaris Research Report n° 8889 — March 23, 2016 — 15 pages Abstract: Benchmarking has proven to be crucial for the investigation of the behavior and performances of a system. However, the choice of relevant benchmarks still remains a challenge. To help the process of comparing and choosing among benchmarks, we propose a solution for automatic benchmark profiling. It computes unified benchmark profiles reflecting benchmarks’ duration, function repartition, stability, CPU efficiency, parallelization and memory usage. -
Automatic Benchmark Profiling Through Advanced Trace Analysis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Hal - Université Grenoble Alpes Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin, Vania Marangozova-Martin To cite this version: Alexis Martin, Vania Marangozova-Martin. Automatic Benchmark Profiling through Advanced Trace Analysis. [Research Report] RR-8889, Inria - Research Centre Grenoble { Rh^one-Alpes; Universit´eGrenoble Alpes; CNRS. 2016. <hal-01292618> HAL Id: hal-01292618 https://hal.inria.fr/hal-01292618 Submitted on 24 Mar 2016 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin , Vania Marangozova-Martin RESEARCH REPORT N° 8889 March 23, 2016 Project-Team Polaris ISSN 0249-6399 ISRN INRIA/RR--8889--FR+ENG Automatic Benchmark Profiling through Advanced Trace Analysis Alexis Martin ∗ † ‡, Vania Marangozova-Martin ∗ † ‡ Project-Team Polaris Research Report n° 8889 — March 23, 2016 — 15 pages Abstract: Benchmarking has proven to be crucial for the investigation of the behavior and performances of a system. However, the choice of relevant benchmarks still remains a challenge. To help the process of comparing and choosing among benchmarks, we propose a solution for automatic benchmark profiling. -
Generic User-Level PCI Drivers
Generic User-Level PCI Drivers Hannes Weisbach, Bj¨orn D¨obel, Adam Lackorzynski Technische Universit¨at Dresden Department of Computer Science, 01062 Dresden {weisbach,doebel,adam}@tudos.org Abstract Linux has become a popular foundation for systems with real-time requirements such as industrial control applications. In order to run such workloads on Linux, the kernel needs to provide certain properties, such as low interrupt latencies. For this purpose, the kernel has been thoroughly examined, tuned, and verified. This examination includes all aspects of the kernel, including the device drivers necessary to run the system. However, hardware may change and therefore require device driver updates or replacements. Such an update might require reevaluation of the whole kernel because of the tight integration of device drivers into the system and the manyfold ways of potential interactions. This approach is time-consuming and might require revalidation by a third party. To mitigate these costs, we propose to run device drivers in user-space applications. This allows to rely on the unmodified and already analyzed latency characteristics of the kernel when updating drivers, so that only the drivers themselves remain in the need of evaluation. In this paper, we present the Device Driver Environment (DDE), which uses the UIO framework supplemented by some modifications, which allow running any recent PCI driver from the Linux kernel without modifications in user space. We report on our implementation, discuss problems related to DMA from user space and evaluate the achieved performance. 1 Introduction in safety-critical systems would need additional au- dits and certifications to take place. -
Building Embedded Linux Systems ,Roadmap.18084 Page Ii Wednesday, August 6, 2008 9:05 AM
Building Embedded Linux Systems ,roadmap.18084 Page ii Wednesday, August 6, 2008 9:05 AM Other Linux resources from O’Reilly Related titles Designing Embedded Programming Embedded Hardware Systems Linux Device Drivers Running Linux Linux in a Nutshell Understanding the Linux Linux Network Adminis- Kernel trator’s Guide Linux Books linux.oreilly.com is a complete catalog of O’Reilly’s books on Resource Center Linux and Unix and related technologies, including sample chapters and code examples. ONLamp.com is the premier site for the open source web plat- form: Linux, Apache, MySQL, and either Perl, Python, or PHP. Conferences O’Reilly brings diverse innovators together to nurture the ideas that spark revolutionary industries. We specialize in document- ing the latest tools and systems, translating the innovator’s knowledge into useful skills for those in the trenches. Visit con- ferences.oreilly.com for our upcoming events. Safari Bookshelf (safari.oreilly.com) is the premier online refer- ence library for programmers and IT professionals. Conduct searches across more than 1,000 books. Subscribers can zero in on answers to time-critical questions in a matter of seconds. Read the books on your Bookshelf from cover to cover or sim- ply flip to the page you need. Try it today for free. main.title Page iii Monday, May 19, 2008 11:21 AM SECOND EDITION Building Embedded Linux SystemsTomcat ™ The Definitive Guide Karim Yaghmour, JonJason Masters, Brittain Gilad and Ben-Yossef, Ian F. Darwin and Philippe Gerum Beijing • Cambridge • Farnham • Köln • Sebastopol • Taipei • Tokyo Building Embedded Linux Systems, Second Edition by Karim Yaghmour, Jon Masters, Gilad Ben-Yossef, and Philippe Gerum Copyright © 2008 Karim Yaghmour and Jon Masters. -
Lilypond Informations Générales
LilyPond Le syst`eme de notation musicale Informations g´en´erales Equipe´ de d´eveloppement de LilyPond Copyright ⃝c 2009–2020 par les auteurs. This file documents the LilyPond website. 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 no Invariant Sections. A copy of the license is included in the section entitled “GNU Free Documentation License”. Pour LilyPond version 2.21.82 1 LilyPond ... la notation musicale pour tous LilyPond est un logiciel de gravure musicale, destin´e`aproduire des partitions de qualit´e optimale. Ce projet apporte `al’´edition musicale informatis´ee l’esth´etique typographique de la gravure traditionnelle. LilyPond est un logiciel libre rattach´eau projet GNU (https://gnu. org). Plus sur LilyPond dans notre [Introduction], page 3, ! La beaut´epar l’exemple LilyPond est un outil `ala fois puissant et flexible qui se charge de graver toutes sortes de partitions, qu’il s’agisse de musique classique (comme cet exemple de J.S. Bach), notation complexe, musique ancienne, musique moderne, tablature, musique vocale, feuille de chant, applications p´edagogiques, grands projets, sortie personnalis´ee ainsi que des diagrammes de Schenker. Venez puiser l’inspiration dans notre galerie [Exemples], page 6, 2 Actualit´es ⟨undefined⟩ [News], page ⟨undefined⟩, ⟨undefined⟩ [News], page ⟨undefined⟩, ⟨undefined⟩ [News], page ⟨undefined⟩, [Actualit´es], page 103, i Table des mati`eres -
Development Tools for the Kernel Release 4.13.0-Rc4+
Development tools for the Kernel Release 4.13.0-rc4+ The kernel development community Sep 05, 2017 CONTENTS 1 Coccinelle 3 1.1 Getting Coccinelle ............................................. 3 1.2 Supplemental documentation ...................................... 3 1.3 Using Coccinelle on the Linux kernel .................................. 4 1.4 Coccinelle parallelization ......................................... 4 1.5 Using Coccinelle with a single semantic patch ............................ 5 1.6 Controlling Which Files are Processed by Coccinelle ......................... 5 1.7 Debugging Coccinelle SmPL patches .................................. 5 1.8 .cocciconfig support ............................................ 6 1.9 Additional flags ............................................... 7 1.10 SmPL patch specific options ....................................... 7 1.11 SmPL patch Coccinelle requirements .................................. 7 1.12 Proposing new semantic patches .................................... 7 1.13 Detailed description of the report mode ................................ 7 1.14 Detailed description of the patch mode ................................ 8 1.15 Detailed description of the context mode ............................... 9 1.16 Detailed description of the org mode .................................. 9 2 Sparse 11 2.1 Using sparse for typechecking ...................................... 11 2.2 Using sparse for lock checking ...................................... 11 2.3 Getting sparse .............................................. -
Valgrind: Memory Checker Tool
Valgrind: Memory Checker Tool I Use Valgrind to check your program for memory errors and memory leaks. Valgrind can do many more things but we will focus on the memory checking part. I Use Valgrind for testing your singly linked list as follows. valgrind --leak-check=yes SimpleTest <n> I Run it on the SimpleTest.c program without the freeList function and then run it again after adding the function. I Valgrind is installed in the lab on all systems. Install it on your Fedora Linux system with the command: sudo dnf install valgrind 1/8 Valgrind: Overview I Extremely useful tool for any C/C++ programmer I Mostly known for Memcheck module, which helps find many common memory related problems in C/C++ code I Supports X86/Linux, AMD64/Linux, PPC32/Linux, PPC64/Linux and X86/Darwin (Mac OS X) I Available for X86/Linux since ~2003, actively developed 2/8 Sample (Bad) Code I We will use the following code for demonstration purposes:: The code can be found in the examples at C-examples/debug/valgrind. 1 #include <stdio.h> 2 #include <stdlib.h> 3 #define SIZE 100 4 int main() { 5 int i, sum = 0; 6 int *a = malloc(SIZE); 7 for (i = 0; i < SIZE; ++i) 8 sum += a[i]; 9 a [26] = 1; 10 a = NULL ; 11 if (sum > 0) printf("Hi!\n"); 12 return 0; 13 } I Contains many bugs. Compiles without warnings or errors. Run it under Valgrind as shown below: valgrind --leak-check=yes sample 3/8 Invalid Read Example ==17175== Invalid read of size 4 ==17175== at 0x4005C0: main (sample.c:9) ==17175== Address 0x51f60a4 is 0 bytes after a block of size 100 alloc’d ==17175== -
Using Valgrind to Detect Undefined Value Errors with Bit-Precision
Using Valgrind to detect undefined value errors with bit-precision Julian Seward Nicholas Nethercote OpenWorks LLP Department of Computer Sciences Cambridge, UK University of Texas at Austin [email protected] [email protected] Abstract We present Memcheck, a tool that has been implemented with the dynamic binary instrumentation framework Val- grind. Memcheck detects a wide range of memory errors 1.1 Basic operation and features in programs as they run. This paper focuses on one kind Memcheck is a dynamic analysis tool, and so checks pro- of error that Memcheck detects: undefined value errors. grams for errors as they run. Memcheck performs four Such errors are common, and often cause bugs that are kinds of memory error checking. hard to find in programs written in languages such as C, First, it tracks the addressability of every byte of mem- C++ and Fortran. Memcheck's definedness checking im- ory, updating the information as memory is allocated and proves on that of previous tools by being accurate to the freed. With this information, it can detect all accesses to level of individual bits. This accuracy gives Memcheck unaddressable memory. a low false positive and false negative rate. Second, it tracks all heap blocks allocated with The definedness checking involves shadowing every malloc(), new and new[]. With this information it bit of data in registers and memory with a second bit can detect bad or repeated frees of heap blocks, and can that indicates if the bit has a defined value. Every value- detect memory leaks at program termination. creating operation is instrumented with a shadow oper- Third, it checks that memory blocks supplied as argu- ation that propagates shadow bits appropriately. -
Boundschecker Free Download
Boundschecker free download click here to download I give Micro Focus and/or Micro Focus partners permission to contact me regarding Micro Focus products and services. View our Privacy Policy. Download here. IMO It might be a better idea to write custom memory manager (the one that supports new/delete/malloc/free wrappers). Make a new/delete. Our website provides a free download of Micro Focus DevPartner for Visual C++ BoundsChecker Suite Our antivirus check shows. Download Boundschecker - best software for Windows. Deleaker Add-in for Visual C++: Deleaker is a useful add-in for Visual Studio that helps. boundschecker Windows 10 downloads - Free boundschecker download for Windows 10 - Windows 10 Download - Free Windows 10 Download. DevPartner® Visual C++ BoundsChecker Suite; Visual COBOL® for Visual Download the zip file that contains the HeapAgent free trial. Breaking the bounds of BoundsChecker: Micro Focus DevPartner® for Visual C++ / BoundsChecker Suite extends the DevPartner BoundsChecker capabilities. NET and native support DevPartner VC++ BoundsChecker Suite - Geared for C/C++ Development Micro Focus Testing Solutions - ASQ for. You can also download this document in Microsoft Word for Windows version / format . On every call to allocate or free memory, HeapAgent validates the. BoundsChecker is a memory checking and API call validation tool used for C++ software From Wikipedia, the free encyclopedia. BoundsChecker is an indispensable tool for Windows programming. It finds errors that no one else can find (including tons in Microsoft's code!!). Its main focus is. Bounds checker Free Download,Bounds checker Software Collection Download. The transition from BoundsChecker tools to the Intel Inspector XE is straightforward. -
Dxperience V2008 Vol 1 All Devexpress ASP.NET, Winforms, WPF and Productivity Tools in One Package
/issue 66/us edition best selling publisher awards see page 58 .upThe latest dateproducts available at www.componentsource.com Experience the DevExpress Difference • ASP.NET, WinForms & WPF Components • IDE Productivity Tools • Business Application Frameworks In one integrated package • XtraReports Suite • XtraReports for ASP.NET • XtraGrid Suite • XtraCharts for ASP.NET • XtraEditors Suite • ASPxGridView • XtraCharts Suite • ASPxEditors • XtraPivotGrid Suite • ASPxPivotGrid • XtraBars Suite • ASPxperience • XtraScheduler Suite • ASPxTreeList • XtraLayout Control • ASPxSpellChecker • XtraNavBar • ASPxHTML Editor • XtraPrinting Library • CodeRush • XtraSpellChecker • Refactor! Pro • XtraVerticalGrid • eXpressPersistent Objects • XtraTreeList • eXpressApp Framework DXperience v2008 vol 1 All DevExpress ASP.NET, WinForms, WPF and Productivity Tools in one package Learn more at: www.componentsource.com/devexpress US Headquarters European Headquarters Asia / Pacific Headquarters ComponentSource ComponentSource ComponentSource 650 Claremore Prof Way 30 Greyfriars Road 3F Kojimachi Square Bldg www.componentsource.com Suite 100 Reading 3-3 Kojimachi Chiyoda-ku Woodstock Berkshire Tokyo GA 30188-5188 RG1 1PE Japan Sales Hotline: USA United Kingdom 102-0083 Tel: (770) 250 6100 Tel: +44 118 958 1111 Tel: +81-3-3237-0281 Fax: (770) 250 6199 Fax: +44 118 958 9999 Fax: +81-3-3237-0282 (888) 850-9911 /n software /n software Red Carpet Subscription 2008 Write communications, security and e-business applications. • Includes components for FTP, IMAP, SNMP, SSL, SSH, S/MIME, Digital Certificates, Credit Card Processing and e-business (EDI) transactions • Free updates, upgrades, tech support and new releases for a year NEW RELEASE IP*Works! Internet Communications Secure Components Includes IP*Works! which is a ATOM, REST, MX, DNS, RSS, NNTP, /n software Red Carpet comprehensive framework for SMPP, POP, Rexec, Rshell, SMTP, Subscription includes secure Internet development. -
The Parallel Programming Landscape
THE STATE OF Parallel Programming The Parallel Programming Landscape Multicore has gone mainstream — but are developers ready? An Exclusive Research Report arallel computing is the primary way that processor The proliferation of multicore processors means manufacturers are dealing with the physical limits that software developers must incorporate P of transistor-based processor technology. Multiple parallelism into their programming in order processors — or cores — are joined together on a single inte- to achieve increased application performance. grated circuit to provide increased performance and better But many programmers are ill-equipped for energy efficiency than using a single processor. Multicore parallel programming, lacking the requisite technology is now standard in desktop and laptop computers. training and often relying on primitive devel- Mobile computing devices like smartphones and tablets are opment tools. The research shows that better also incorporating multicore processors into their designs. and simpler tools and libraries are needed to The problem with multicore computing is that help programmers parallelize their code and software applications no longer automatically benefit from to debug the complex concurrency bugs that improvements in processor performance the way they did parallelism exposes. in the past. Those benefits can only be realized by writing applications that expect and take advantage of parallelism. Sponsored by The State of Parallel Programming In 2006, Saman Amarasinghe, now a computer science Figure 2. How important is parallel programming to your work? professor at MIT, described this as a “looming software Not sure 1 crisis” for software developers who write code on platforms Critical – our software would not Not important – our 8% that abstract away processor architecture and who therefore software would not work without parallelism benefit from parallelism don’t know how to benefit from parallelism.