PrediQL: Automated Testing of GraphQL APIs with LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Shaolun, Marefat, Sina, Tsai, Omar, Chen, Yu, Deng, Zecheng, Wang, Jia, Tayebi, Mohammad A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing
by: Tsai, Omar, et al.
Published: (2025)
by: Tsai, Omar, et al.
Published: (2025)
Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
by: Corradini, Davide, et al.
Published: (2025)
by: Corradini, Davide, et al.
Published: (2025)
GraphQLify: Automated and Type Safety-Preserving GraphQL API Adoption
by: Amareen, Saleh, et al.
Published: (2026)
by: Amareen, Saleh, et al.
Published: (2026)
Patch2QL: Discover Cognate Defects in Open Source Software Supply Chain With Auto-generated Static Analysis Rules
by: Wang, Fuwei, et al.
Published: (2024)
by: Wang, Fuwei, et al.
Published: (2024)
Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
by: Shen, Mingjie, et al.
Published: (2023)
by: Shen, Mingjie, et al.
Published: (2023)
Security Testing of RESTful APIs With Test Case Mutation
by: Salva, Sebastien, et al.
Published: (2024)
by: Salva, Sebastien, et al.
Published: (2024)
GraphQL Adoption and Challenges: Community-Driven Insights from StackOverflow Discussions
by: Amareen, Saleh, et al.
Published: (2024)
by: Amareen, Saleh, et al.
Published: (2024)
MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
by: Ou, Shiwen, et al.
Published: (2025)
by: Ou, Shiwen, et al.
Published: (2025)
Detecting Misuse of Security APIs: A Systematic Review
by: Mousavi, Zahra, et al.
Published: (2023)
by: Mousavi, Zahra, et al.
Published: (2023)
R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge
by: Lu, Tianhe, et al.
Published: (2026)
by: Lu, Tianhe, et al.
Published: (2026)
When Security Meets Usability: An Empirical Investigation of Post-Quantum Cryptography APIs
by: Toruan, Marthin, et al.
Published: (2026)
by: Toruan, Marthin, et al.
Published: (2026)
Automated Penetration Testing: Formalization and Realization
by: Skandylas, Charilaos, et al.
Published: (2024)
by: Skandylas, Charilaos, et al.
Published: (2024)
LLM Based Input Space Partitioning Testing for Library APIs
by: Li, Jiageng, et al.
Published: (2024)
by: Li, Jiageng, et al.
Published: (2024)
Taint Analysis for Graph APIs Focusing on Broken Access Control
by: Lambers, Leen, et al.
Published: (2025)
by: Lambers, Leen, et al.
Published: (2025)
AIM: Automated Input Set Minimization for Metamorphic Security Testing
by: Chaleshtari, Nazanin Bayati, et al.
Published: (2024)
by: Chaleshtari, Nazanin Bayati, et al.
Published: (2024)
From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
by: Han, Junxiao, et al.
Published: (2025)
by: Han, Junxiao, et al.
Published: (2025)
VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
by: Tran, Chi Thien
Published: (2026)
by: Tran, Chi Thien
Published: (2026)
Real Money, Fake Models: Deceptive Model Claims in Shadow APIs
by: Zhang, Yage, et al.
Published: (2026)
by: Zhang, Yage, et al.
Published: (2026)
Automated TEE Adaptation with LLMs: Identifying, Transforming, and Porting Sensitive Functions in Programs
by: Han, Ruidong, et al.
Published: (2025)
by: Han, Ruidong, et al.
Published: (2025)
Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats
by: Setak, Mohammad, et al.
Published: (2024)
by: Setak, Mohammad, et al.
Published: (2024)
Automated Repair of OpenID Connect Programs (Extended Version)
by: Rahat, Tamjid Al, et al.
Published: (2025)
by: Rahat, Tamjid Al, et al.
Published: (2025)
EvoPoC: Automated Exploit Synthesis for DeFi Smart Contracts via Hierarchical Knowledge Graphs
by: Liang, Ruichao, et al.
Published: (2026)
by: Liang, Ruichao, et al.
Published: (2026)
Toward Automated Security Risk Detection in Large Software Using Call Graph Analysis
by: Pecka, Nicholas, et al.
Published: (2025)
by: Pecka, Nicholas, et al.
Published: (2025)
Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)
by: Mao, Zhenyu, et al.
Published: (2025)
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
by: Fakih, Mohamad, et al.
Published: (2025)
by: Fakih, Mohamad, et al.
Published: (2025)
AutoVulnPHP: LLM-Powered Two-Stage PHP Vulnerability Detection and Automated Localization
by: Wang, Zhiqiang, et al.
Published: (2026)
by: Wang, Zhiqiang, et al.
Published: (2026)
Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test
by: Haque, Mohd Ariful, et al.
Published: (2026)
by: Haque, Mohd Ariful, et al.
Published: (2026)
What Makes a Good LLM Agent for Real-world Penetration Testing?
by: Deng, Gelei, et al.
Published: (2026)
by: Deng, Gelei, et al.
Published: (2026)
Tracking GPTs Third Party Service: Automation, Analysis, and Insights
by: Yan, Chuan, et al.
Published: (2025)
by: Yan, Chuan, et al.
Published: (2025)
A Systematic Study of LLM-Based Architectures for Automated Patching
by: Xu, Qingxiao, et al.
Published: (2026)
by: Xu, Qingxiao, et al.
Published: (2026)
PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)
by: Deng, Gelei, et al.
Published: (2023)
APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
by: Nong, Yu, et al.
Published: (2024)
by: Nong, Yu, et al.
Published: (2024)
LLMs as Firmware Experts: A Runtime-Grown Tree-of-Agents Framework
by: Zhang, Xiangrui, et al.
Published: (2025)
by: Zhang, Xiangrui, et al.
Published: (2025)
VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
by: Zhu, Hao, et al.
Published: (2025)
by: Zhu, Hao, et al.
Published: (2025)
Probing Privacy Leaks in LLM-based Code Generation via Test Generation
by: Ge, Yifei, et al.
Published: (2026)
by: Ge, Yifei, et al.
Published: (2026)
Automated Generation of Cybersecurity Exercise Scenarios
by: Skandylas, Charilaos, et al.
Published: (2026)
by: Skandylas, Charilaos, et al.
Published: (2026)
Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries
by: Zhang, Fangyuan, et al.
Published: (2024)
by: Zhang, Fangyuan, et al.
Published: (2024)
FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)
by: Sheng, Ze, et al.
Published: (2026)
Root-Cause-Driven Automated Vulnerability Repair
by: Wang, Hulin, et al.
Published: (2026)
by: Wang, Hulin, et al.
Published: (2026)
Similar Items
-
GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing
by: Tsai, Omar, et al.
Published: (2025) -
Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
by: Corradini, Davide, et al.
Published: (2025) -
GraphQLify: Automated and Type Safety-Preserving GraphQL API Adoption
by: Amareen, Saleh, et al.
Published: (2026) -
Patch2QL: Discover Cognate Defects in Open Source Software Supply Chain With Auto-generated Static Analysis Rules
by: Wang, Fuwei, et al.
Published: (2024) -
Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper) -- Extended Report
by: Shen, Mingjie, et al.
Published: (2023)