pith. sign in

arxiv: 1806.04355 · v1 · pith:3KX6IXI3new · submitted 2018-06-12 · 💻 cs.CR · cs.PL

SoK: Sanitizing for Security

classification 💻 cs.CR cs.PL
keywords securityprogramsanitizersanalysisdynamicfindfindingissues
0
0 comments X
read the original abstract

The C and C++ programming languages are notoriously insecure yet remain indispensable. Developers therefore resort to a multi-pronged approach to find security issues before adversaries. These include manual, static, and dynamic program analysis. Dynamic bug finding tools --- henceforth "sanitizers" --- can find bugs that elude other types of analysis because they observe the actual execution of a program, and can therefore directly observe incorrect program behavior as it happens. A vast number of sanitizers have been prototyped by academics and refined by practitioners. We provide a systematic overview of sanitizers with an emphasis on their role in finding security issues. Specifically, we taxonomize the available tools and the security vulnerabilities they cover, describe their performance and compatibility properties, and highlight various trade-offs.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. CHOP: Bypassing Runtime Bounds Checking Through Convex Hull OPtimization

    cs.PL 2019-07 unverdicted novelty 6.0

    CHOP applies convex hull optimization to runtime profiles to eliminate an average of 80.12% of dynamic bounds checks, yielding up to 95.80% performance improvement over SoftBound on evaluated benchmarks.