Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
Fuente:
arXiv
Saved in:
| Main Authors: | Manuel, Dylan, Islam, Nafis Tanveer, Khoury, Joseph, Nunez, Ana, Bou-Harb, Elias, Najafirad, Peyman |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
by: Islam, Nafis Tanveer, et al.
Published: (2023)
by: Islam, Nafis Tanveer, et al.
Published: (2023)
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)
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Enhancing Network Security Management in Water Systems using FM-based Attack Attribution
by: Avdalovic, Aleksandar, et al.
Published: (2025)
by: Avdalovic, Aleksandar, et al.
Published: (2025)
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
by: Cotroneo, D., et al.
Published: (2024)
by: Cotroneo, D., et al.
Published: (2024)
CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
by: Manuel, Dylan, et al.
Published: (2025)
by: Manuel, Dylan, et al.
Published: (2025)
Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?
by: Karkevandi, Mohammad Bahrami, et al.
Published: (2024)
by: Karkevandi, Mohammad Bahrami, et al.
Published: (2024)
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2026)
by: Jelodar, Hamed, et al.
Published: (2026)
Decompiling Smart Contracts with a Large Language Model
by: David, Isaac, et al.
Published: (2025)
by: David, Isaac, et al.
Published: (2025)
SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
by: Dai, Han, et al.
Published: (2026)
by: Dai, Han, et al.
Published: (2026)
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)
ReCopilot: Reverse Engineering Copilot in Binary Analysis
by: Chen, Guoqiang, et al.
Published: (2025)
by: Chen, Guoqiang, et al.
Published: (2025)
Lateral Phishing With Large Language Models: A Large Organization Comparative Study
by: Bethany, Mazal, et al.
Published: (2024)
by: Bethany, Mazal, et al.
Published: (2024)
Automatic State Machine Inference for Binary Protocol Reverse Engineering
by: Yang, Junhai, et al.
Published: (2024)
by: Yang, Junhai, et al.
Published: (2024)
Reverse Engineering Structure and Semantics of Input of a Binary Executable
by: Narasimha, Seshagiri Prabhu, et al.
Published: (2024)
by: Narasimha, Seshagiri Prabhu, et al.
Published: (2024)
STRIDE: Simple Type Recognition In Decompiled Executables
by: Green, Harrison, et al.
Published: (2024)
by: Green, Harrison, et al.
Published: (2024)
Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
by: Hossain, Elias, et al.
Published: (2025)
by: Hossain, Elias, et al.
Published: (2025)
BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering
by: Jiang, Jiayi, et al.
Published: (2024)
by: Jiang, Jiayi, et al.
Published: (2024)
An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection
by: Tang, Qiyao, et al.
Published: (2025)
by: Tang, Qiyao, et al.
Published: (2025)
A Decompilation-Driven Framework for Malware Detection with Large Language Models
by: Chawla, Aniesh, et al.
Published: (2026)
by: Chawla, Aniesh, et al.
Published: (2026)
SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
by: Qin, Kaihua, et al.
Published: (2026)
by: Qin, Kaihua, et al.
Published: (2026)
CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering
by: Chen, Baicheng, et al.
Published: (2026)
by: Chen, Baicheng, et al.
Published: (2026)
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing
by: Khordadpour, Peyman, et al.
Published: (2024)
by: Khordadpour, Peyman, et al.
Published: (2024)
Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)
by: Bethany, Emet, et al.
Published: (2024)
SoK: Potentials and Challenges of Large Language Models for Reverse Engineering
by: Hu, Xinyu, et al.
Published: (2025)
by: Hu, Xinyu, et al.
Published: (2025)
Evaluating and Enhancing the Vulnerability Reasoning Capabilities of Large Language Models
by: Lu, Li, et al.
Published: (2026)
by: Lu, Li, et al.
Published: (2026)
VulMatch: Binary-level Vulnerability Detection Through Signature
by: Liu, Zian, et al.
Published: (2023)
by: Liu, Zian, et al.
Published: (2023)
BinPool: A Dataset of Vulnerabilities for Binary Security Analysis
by: Arasteh, Sima, et al.
Published: (2025)
by: Arasteh, Sima, et al.
Published: (2025)
Vulnerability, Where Art Thou? An Investigation of Vulnerability Management in Android Smartphone Chipsets
by: Klischies, Daniel, et al.
Published: (2024)
by: Klischies, Daniel, et al.
Published: (2024)
Generative Large Language Model usage in Smart Contract Vulnerability Detection
by: Ince, Peter, et al.
Published: (2025)
by: Ince, Peter, et al.
Published: (2025)
Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering
by: Fan, Junling, et al.
Published: (2025)
by: Fan, Junling, et al.
Published: (2025)
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
by: Nunez, Ana, et al.
Published: (2024)
by: Nunez, Ana, et al.
Published: (2024)
VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries
by: Hussain, Nasir, et al.
Published: (2025)
by: Hussain, Nasir, et al.
Published: (2025)
Honeypot-powered Malware Reverse Engineering
by: Bombardieri, Michele, et al.
Published: (2015)
by: Bombardieri, Michele, et al.
Published: (2015)
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
by: Zhou, Zhiping, et al.
Published: (2025)
by: Zhou, Zhiping, et al.
Published: (2025)
Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
by: Dramko, Luke, et al.
Published: (2025)
by: Dramko, Luke, et al.
Published: (2025)
Detect Llama -- Finding Vulnerabilities in Smart Contracts using Large Language Models
by: Ince, Peter, et al.
Published: (2024)
by: Ince, Peter, et al.
Published: (2024)
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
by: Liu, Shangqing, et al.
Published: (2024)
by: Liu, Shangqing, et al.
Published: (2024)
Similar Items
-
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
by: Islam, Nafis Tanveer, et al.
Published: (2024) -
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
by: Islam, Nafis Tanveer, et al.
Published: (2023) -
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024) -
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
by: Islam, Nafis Tanveer, et al.
Published: (2024) -
Enhancing Network Security Management in Water Systems using FM-based Attack Attribution
by: Avdalovic, Aleksandar, et al.
Published: (2025)