Beyond the Coverage Plateau: A Comprehensive Study of Fuzz Blockers (Registered Report)

Wentao Gao, Van-Thuan Pham, Dongge Liu, Oliver Chang, Toby C. Murray, Benjamin I. P. Rubinstein. 2023. FUZZING.

Read the paper · doi:10.1145/3605157.3605177

What this paper does with SQLancer

Two citations, placing DBMS fuzzing among the challenging targets researchers have extended fuzzing to. A registered report studying fuzz blockers -- the obstacles that make coverage-guided greybox fuzzers plateau, which benchmarks show typically happens after around 12 hours. Using the FuzzIntrospector platform the authors analyse and categorise these blockers, finding that most top blockers are not directly related to the program input, which points to fuzz driver generation as the area needing better techniques. Written by claude-opus-5 from the 2 places this paper refers to SQLancer. The quotations below are the paper's own words, stored verbatim when the text was extracted.

How it was classified

uses infrastructure — no

SQLancer is cited, not used; nothing in the mentions describes reusing its code.

extends technique — no

No technique is extended; the citation is background.

compares with — no

No empirical comparison against SQLancer is reported in the mentions.

describes as state of the art — no

The citation does not characterise SQLancer as the state of the art.

SQLancer publications it cites (1)

Bibliography entries that resolved to a SQLancer publication, or to a paper by one of the project's authors. A sentence citing one of these numbers is a reference to SQLancer even when it never writes the name.

#	Entry	Matched as
45	Manuel Rigger and Zhendong Su. 2020. Testing Database Engines via Pivoted Query Synthesis.. In OSDI, Vol. 20. 667–682.	sqlancer publication · PQS

Every place it refers to SQLancer (2)

2 sentences, each stored verbatim from the extracted text with where it was found and how. “Citation marker” means the sentence names no tool at all and was reached through a reference number that resolved to a SQLancer publication.

Id	Sentence	Found by	Where
M1	These efforts have focused on enhancing fuzzing in areas such as feedback collection [ 16,25,27,30], corpus management [ 29], seed selection algorithms [ 22,23], input generation algorithms [ 15,20,31,44,47], and novel test oracle designs [ 39,45].	citation marker background	1 INTRODUCTION page 1
M2	Additionally, researchers have attempted to extend the applicability of fuzzing to challenging targets such as network protocols [18, 43], database systems [45, 50], SMT solvers [ 40], compilers [ 26], device drivers [ 41], and heterogeneous applications [ 48].	citation marker background	1 INTRODUCTION page 1

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