ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability Detection
Static analyzers have been widely adopted for vulnerability detection in C/C++ programs. Query-based static analyzers (e.g., CodeQL) encode vulnerable code patterns in detection queries and match them against source code. However, existing queries still suffer from false positives (FPs, incorrectly flagging benign code as vulnerable) and false negatives (FNs, missing real vulnerabilities). We present ARQ, an agentic framework that automatically refines C/C++ CodeQL queries using execution-grounded evidence from synthesized C/C++ programs. Our key insight is that a synthesized program exposes a query's weakness whenever its execution disagrees with the query's verdict. If the program is ge...
| Authors | Chunyi Wang, Yunfei Ke, Junfeng Yang et al. |
|---|---|
| Primary category | cs.CR |
| Published | 21 August 2026 |
| Last updated at source | 21 August 2026 |
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