MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Gajjar, Jugal, Subramaniakuppusamy, Kamalasankari, Kachach, Noha El |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis
by: Gajjar, Jugal
Published: (2026)
by: Gajjar, Jugal
Published: (2026)
Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)
by: Mahyari, Andrew A
Published: (2024)
QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
by: Hu, Junze, et al.
Published: (2025)
by: Hu, Junze, et al.
Published: (2025)
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
by: Yan, Shenao, et al.
Published: (2026)
by: Yan, Shenao, et al.
Published: (2026)
From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
by: Krishnamurthy, Ranjith, et al.
Published: (2026)
by: Krishnamurthy, Ranjith, et al.
Published: (2026)
AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection
by: Charoenwet, Wachiraphan, et al.
Published: (2026)
by: Charoenwet, Wachiraphan, et al.
Published: (2026)
Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code
by: Blain, Dominik, et al.
Published: (2026)
by: Blain, Dominik, et al.
Published: (2026)
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
by: Shi, Jingwei, et al.
Published: (2026)
by: Shi, Jingwei, et al.
Published: (2026)
MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents
by: Steinberg, Jonathan, et al.
Published: (2026)
by: Steinberg, Jonathan, et al.
Published: (2026)
MAVUL: Multi-Agent Vulnerability Detection via Contextual Reasoning and Interactive Refinement
by: Li, Youpeng, et al.
Published: (2025)
by: Li, Youpeng, et al.
Published: (2025)
Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
by: Patir, Rupam, et al.
Published: (2025)
by: Patir, Rupam, et al.
Published: (2025)
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
by: Yan, Shenao, et al.
Published: (2024)
by: Yan, Shenao, et al.
Published: (2024)
RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners
by: Gajjar, Jugal, et al.
Published: (2026)
by: Gajjar, Jugal, et al.
Published: (2026)
Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
by: Improta, Cristina
Published: (2024)
by: Improta, Cristina
Published: (2024)
Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
by: Catal, Melih, et al.
Published: (2025)
by: Catal, Melih, et al.
Published: (2025)
Empirical Study of Code Large Language Models for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2025)
by: Li, Qingyuan, et al.
Published: (2025)
AI Code Generators for Security: Friend or Foe?
by: Natella, Roberto, et al.
Published: (2024)
by: Natella, Roberto, et al.
Published: (2024)
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
by: Mathews, Noble Saji, et al.
Published: (2024)
by: Mathews, Noble Saji, et al.
Published: (2024)
Traces of Memorisation in Large Language Models for Code
by: Al-Kaswan, Ali, et al.
Published: (2023)
by: Al-Kaswan, Ali, et al.
Published: (2023)
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
by: Chu, Zhaoyang, et al.
Published: (2025)
by: Chu, Zhaoyang, et al.
Published: (2025)
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
by: Chen, Junkai, et al.
Published: (2025)
by: Chen, Junkai, et al.
Published: (2025)
Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
by: Safdar, Rijha, et al.
Published: (2025)
by: Safdar, Rijha, et al.
Published: (2025)
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning
by: Ni, Ronghao, et al.
Published: (2026)
by: Ni, Ronghao, et al.
Published: (2026)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)
by: Trad, Fouad, et al.
Published: (2025)
VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
by: Li, Youpeng, et al.
Published: (2025)
by: Li, Youpeng, et al.
Published: (2025)
Learning to Generate Secure Code via Token-Level Rewards
by: Quan, Jiazheng, et al.
Published: (2026)
by: Quan, Jiazheng, et al.
Published: (2026)
CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)
by: Dubniczky, Richard A., et al.
Published: (2025)
Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study
by: Tamberg, Karl, et al.
Published: (2024)
by: Tamberg, Karl, et al.
Published: (2024)
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
by: Yang, Hua, et al.
Published: (2025)
by: Yang, Hua, et al.
Published: (2025)
AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
by: Fang, Sen, et al.
Published: (2026)
by: Fang, Sen, et al.
Published: (2026)
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
by: Zhang, Xiaoyu, et al.
Published: (2025)
by: Zhang, Xiaoyu, et al.
Published: (2025)
SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
An Empirical Study of Vulnerabilities in Python Packages and Their Detection
by: Quan, Haowei, et al.
Published: (2025)
by: Quan, Haowei, et al.
Published: (2025)
DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation
by: Huang, Li, et al.
Published: (2026)
by: Huang, Li, et al.
Published: (2026)
Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
Similar Items
-
Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
by: Gajjar, Jugal, et al.
Published: (2025) -
SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
by: Gajjar, Jugal, et al.
Published: (2025) -
MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema
by: Gajjar, Jugal, et al.
Published: (2025) -
Verify Before You Fix: Agentic Execution Grounding for Trustworthy Cross-Language Code Analysis
by: Gajjar, Jugal
Published: (2026) -
Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)