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Despite ambiguities in the specification intended to provide implementation flexibility, contemporary implementations of C have converged on a memory model similar to the PDP-11, the original target for C. We propose a new memory-safe interpretation of the C abstract machine that provides stronger protection to benefit security and debugging.
Finally, libdft is freely available as open source software. Our results indicate that it performs at least as fast, if not faster, than previous solutions, and to the best of our knowledge, we are the first to evaluate the performance overhead of a fast dynamic DFT implementation in such depth.
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We also use a series of benchmarks and utilities to compare libdft with similar systems. We evaluate libdft using real applications with large codebases like the Apache and MySQL servers, and the Firefox web browser. We explore different approaches for implementing the low-level aspects of instruction-level data tracking, introduce a more efficient and 64-bit capable shadow memory, and identify (and avoid) the common pitfalls responsible for the excessive performance overhead of previous studies. libdft provides an API for building DFT-enabled tools that work on unmodified binaries, running on common operating systems and hardware, thus facilitating research and rapid prototyping.
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We present libdft, a dynamic DFT framework that unlike previous work is at once fast, reusable, and works with commodity software and hardware. DFT has been repeatedly implemented by a variety of tools for numerous purposes, including protection from zero-day and cross-site scripting attacks, detection and prevention of information leaks, and for the analysis of legitimate and malicious software. To further reduce overheads, SoftBound has a store-only checking mode that successfully detects all the security vulnerabilities in a test suite while adding 15% or less overhead to half of the benchmarks.ĭynamic data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution.
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SoftBound’s full checking mode provides complete spatial violation detection. A formal proof shows this is sufficient to provide complete spatial safety even in the presence of wild casts. Moreover, SoftBound performs metadata manipulation only when loading or storing pointer values. This decoupling enables SoftBound to provide complete spatial safety while requiring no changes to C source code. SoftBound records base and bound information for every pointer as disjoint metadata. This paper proposes SoftBound, a compile time transformation for enforcing complete spatial safety of C. Thus far, these deficiencies have prevented widespread adoption of such techniques. Existing approaches suffer from incompleteness, have high runtime overhead, or require non-trivial changes to the C source code. Unfortunately, C’s arbitrary pointer arithmetic, conflation of pointers and arrays, and programmer-visible memory layout make retrofitting C/C++ with spatial safety guarantees extremely challenging. The serious bugs and security vulnerabilities facilitated by C/C++’s lack of bounds checking are well known. Overall our technique can detect a wide range of memory bugs and attacks with reduced performance overhead and higher detection rate as compared to the similar existing countermeasures when tested under the same experimental setup. In addition, the proposed solution is also tested to analyze the performance overhead for multithreaded applications in multicore environments. The performance and memory overheads are further analyzed by instrumenting and executing real-world applications from various renowned benchmark suites. The proposed solution is evaluated by instrumenting applications from the BugBench benchmark suite and publicly available benchmark software, run-time intrusion prevention evaluator (RIPE), detecting all the bugs successfully.
It is based on creating tags to be coupled with each memory allocation and then placing additional tag checking instructions for each access made to the memory.
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We propose a new and effective method of instrumenting an application's source code at compile time in order to detect illegal spatial and temporal memory accesses. A lightweight solution is presented in this paper to tackle such illegal memory accesses dynamically in C/C++ based applications. Programming languages permitting immediate memory accesses through pointers often result in applications having memory-related errors, which may lead to unpredictable failures and security vulnerabilities.
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