46,619 research outputs found
Hijacker: Efficient static software instrumentation with applications in high performance computing: Poster paper
Static Binary Instrumentation is a technique that allows compile-time program manipulation. In particular, by relying on ad-hoc tools, the end user is able to alter the program's execution flow without affecting its overall semantic. This technique has been effectively used, e.g., to support code profiling, performance analysis, error detection, attack detection, or behavior monitoring. Nevertheless, efficiently relying on static instrumentation for producing executables which can be deployed without affecting the overall performance of the application still presents technical and methodological issues. In this paper, we present Hijacker, an open-source customizable static binary instrumentation tool which is able to alter a program's execution flow according to some user-specified rules, limiting the execution overhead due to the code snippets inserted in the original program, thus enabling for the exploitation in high performance computing. The tool is highly modular and works on an internal representation of the program which allows to perform complex instrumentation tasks efficiently, and can be additionally extended to support different instruction sets and executable formats without any need to modify the instrumentation engine. We additionally present an experimental assessment of the overhead induced by the injected code in real HPC applications. © 2013 IEEE
Non-intrusive on-the-fly data race detection using execution replay
This paper presents a practical solution for detecting data races in parallel
programs. The solution consists of a combination of execution replay (RecPlay)
with automatic on-the-fly data race detection. This combination enables us to
perform the data race detection on an unaltered execution (almost no probe
effect). Furthermore, the usage of multilevel bitmaps and snooped matrix clocks
limits the amount of memory used. As the record phase of RecPlay is highly
efficient, there is no need to switch it off, hereby eliminating the
possibility of Heisenbugs because tracing can be left on all the time.Comment: In M. Ducasse (ed), proceedings of the Fourth International Workshop
on Automated Debugging (AAdebug 2000), August 2000, Munich. cs.SE/001003
EffectiveSan: Type and Memory Error Detection using Dynamically Typed C/C++
Low-level programming languages with weak/static type systems, such as C and
C++, are vulnerable to errors relating to the misuse of memory at runtime, such
as (sub-)object bounds overflows, (re)use-after-free, and type confusion. Such
errors account for many security and other undefined behavior bugs for programs
written in these languages. In this paper, we introduce the notion of
dynamically typed C/C++, which aims to detect such errors by dynamically
checking the "effective type" of each object before use at runtime. We also
present an implementation of dynamically typed C/C++ in the form of the
Effective Type Sanitizer (EffectiveSan). EffectiveSan enforces type and memory
safety using a combination of low-fat pointers, type meta data and type/bounds
check instrumentation. We evaluate EffectiveSan against the SPEC2006 benchmark
suite and the Firefox web browser, and detect several new type and memory
errors. We also show that EffectiveSan achieves high compatibility and
reasonable overheads for the given error coverage. Finally, we highlight that
EffectiveSan is one of only a few tools that can detect sub-object bounds
errors, and uses a novel approach (dynamic type checking) to do so.Comment: To appear in the Proceedings of 39th ACM SIGPLAN Conference on
Programming Language Design and Implementation (PLDI2018
ROPocop - Dynamic Mitigation of Code-Reuse Attacks
Control-flow attacks, usually achieved by exploiting a buffer-overflow
vulnerability, have been a serious threat to system security for over fifteen
years. Researchers have answered the threat with various mitigation techniques,
but nevertheless, new exploits that successfully bypass these technologies
still appear on a regular basis.
In this paper, we propose ROPocop, a novel approach for detecting and
preventing the execution of injected code and for mitigating code-reuse attacks
such as return-oriented programming (RoP). ROPocop uses dynamic binary
instrumentation, requiring neither access to source code nor debug symbols or
changes to the operating system. It mitigates attacks by both monitoring the
program counter at potentially dangerous points and by detecting suspicious
program flows.
We have implemented ROPocop for Windows x86 using PIN, a dynamic program
instrumentation framework from Intel. Benchmarks using the SPEC CPU2006 suite
show an average overhead of 2.4x, which is comparable to similar approaches,
which give weaker guarantees. Real-world applications show only an initially
noticeable input lag and no stutter. In our evaluation our tool successfully
detected all 11 of the latest real-world code-reuse exploits, with no false
alarms. Therefore, despite the overhead, it is a viable, temporary solution to
secure critical systems against exploits if a vendor patch is not yet
available
Fast and Precise Symbolic Analysis of Concurrency Bugs in Device Drivers
© 2015 IEEE.Concurrency errors, such as data races, make device drivers notoriously hard to develop and debug without automated tool support. We present Whoop, a new automated approach that statically analyzes drivers for data races. Whoop is empowered by symbolic pairwise lockset analysis, a novel analysis that can soundly detect all potential races in a driver. Our analysis avoids reasoning about thread interleavings and thus scales well. Exploiting the race-freedom guarantees provided by Whoop, we achieve a sound partial-order reduction that significantly accelerates Corral, an industrial-strength bug-finder for concurrent programs. Using the combination of Whoop and Corral, we analyzed 16 drivers from the Linux 4.0 kernel, achieving 1.5 - 20× speedups over standalone Corral
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