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We propose a prediction scheme to identify one pool of such contexts: we analyze the data-flow diversity of the incoming argument values at call sites, exposing ...
We propose a prediction scheme to identify one pool of such contexts: we analyze the data-flow diversity of the incoming argument values at call sites, exposing.
Predictive Context-sensitive Fuzzing. This repository hosts the code for the paper Predictive Context-sensitive Fuzzing appeared at NDSS 2024.
Predictive Context-sensitive Fuzzing. Pietro Borrello, A. Fioraldi, D.C. D ... Published with Wowchemy — the free, open source website builder that empowers ...
Mar 7, 2024 · Fuzzing is an important technique for discovering vulnerabilities, unfortunately, it also offers fairly shallow coverage. To address these ...
Fuzzing involves inputting massive amounts of random data, called fuzz, into a target code set in an attempt to discover its crash points. Poisoning is ...
In this paper, we propose EnclaveFuzz, a multi-dimension structure-aware fuzzing framework that analyzes enclave sources to extract input structures and ...
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Sep 18, 2024 · This paper presents a comprehensive evaluation of eleven state-of-the-art fuzzers' ability to generate context-sensitive inputs for testing a ...
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