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Wonil Jang

dblp:407/8104 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Systems and software security · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › memory safety
address sanitizer
0.912025
CMASan: Custom Memory Allocator-aware Address Sanitizer · SP 2025
Systems and software security › memory safety
memory error detection
0.912025
CMASan: Custom Memory Allocator-aware Address Sanitizer · SP 2025
Systems and software security
memory safety
0.912025
CMASan: Custom Memory Allocator-aware Address Sanitizer · SP 2025

Methods — techniques the papers use, named apart from their topics

dynamic analysis · 0.9
YearPublicationVenuePosition
2025 CMASan: Custom Memory Allocator-aware Address Sanitizer
abstract
Custom Memory Allocator (CMA) replaces the standard memory allocator for various purposes, such as improving memory efficiency or enhancing security. However, memory objects allocated by CMA are vulnerable to memory bugs similar to those allocated by the standard memory allocator. Unfortunately, existing memory bug detection approaches, including Address Sanitizer (ASan), do not work properly with these CMAs because existing approaches are mainly designed for the standard memory allocator. This paper presents CMASan, the first CMA-aware address sanitizer designed to effectively detect memory bugs on CMA objects that ASan misses without requiring expert knowledge, manual code modifications, or changing the unique internal logic of CMAs. According to our evaluation, CMASan successfully identifies 19 previously unknown CMA memory bugs undetected by ASan, including some undetected for 9 years. Compared to ASan, CMASan incurs only an additional 9.63% overhead.
Junwha Hong, Wonil Jang, Mijung Kim, Yonghwi Kwon 0001, Yuseok Jeon
SP2