Coding Malware in Fancy Programming Languages for Fun and Profit
Fuente:
arXiv
Saved in:
| Main Authors: | Apostolopoulos, Theodoros, Koutsokostas, Vasilios, Totosis, Nikolaos, Patsakis, Constantinos, Smaragdakis, Georgios |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
by: Gibert, Daniel, et al.
Published: (2024)
by: Gibert, Daniel, et al.
Published: (2024)
Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
by: Patsakis, Constantinos, et al.
Published: (2024)
by: Patsakis, Constantinos, et al.
Published: (2024)
Bitcoin Battle: Burning Bitcoin for Geopolitical Fun and Profit
by: Oosthoek, Kris, et al.
Published: (2025)
by: Oosthoek, Kris, et al.
Published: (2025)
The Malware as a Service ecosystem
by: Patsakis, Constantinos, et al.
Published: (2024)
by: Patsakis, Constantinos, et al.
Published: (2024)
Just in Plain Sight: Unveiling CSAM Distribution Campaigns on the Clear Web
by: Lykousas, Nikolaos, et al.
Published: (2025)
by: Lykousas, Nikolaos, et al.
Published: (2025)
QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery
by: Tsigkourakos, George, et al.
Published: (2026)
by: Tsigkourakos, George, et al.
Published: (2026)
Evading and crashing anti-malware solutions via data collection overloading during analysis serialization
by: Gkritsis, Evgenios, et al.
Published: (2025)
by: Gkritsis, Evgenios, et al.
Published: (2025)
Exploring Widevine for Fun and Profit
by: Patat, Gwendal, et al.
Published: (2022)
by: Patat, Gwendal, et al.
Published: (2022)
Inside LockBit: Technical, Behavioral, and Financial Anatomy of a Ransomware Empire
by: Castaño, Felipe, et al.
Published: (2025)
by: Castaño, Felipe, et al.
Published: (2025)
Hello, won't you tell me your name?: Investigating Anonymity Abuse in IPFS
by: Karapapas, Christos, et al.
Published: (2025)
by: Karapapas, Christos, et al.
Published: (2025)
Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection
by: Guo, Yuejun, et al.
Published: (2024)
by: Guo, Yuejun, et al.
Published: (2024)
Beyond Crash: Hijacking Your Autonomous Vehicle for Fun and Profit
by: Sun, Qi, et al.
Published: (2026)
by: Sun, Qi, et al.
Published: (2026)
DETOUR: A Practical Backdoor Attack against Object Detection
by: Liu, Dazhuang, et al.
Published: (2026)
by: Liu, Dazhuang, et al.
Published: (2026)
Analysing Multidisciplinary Approaches to Fight Large-Scale Digital Influence Operations
by: Arroyo, David, et al.
Published: (2025)
by: Arroyo, David, et al.
Published: (2025)
LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)
by: Rollinson, Nik, et al.
Published: (2025)
Fun with flags: How Compilers Break and Fix Constant-Time Code
by: Geimer, Antoine, et al.
Published: (2025)
by: Geimer, Antoine, et al.
Published: (2025)
ALFA: A Safe-by-Design Approach to Mitigate Quishing Attacks Launched via Fancy QR Codes
by: Akram, Muhammad Wahid, et al.
Published: (2026)
by: Akram, Muhammad Wahid, et al.
Published: (2026)
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
by: McFadden, Shae, et al.
Published: (2025)
by: McFadden, Shae, et al.
Published: (2025)
A Time Series Analysis of Malware Uploads to Programming Language Ecosystems
by: Ruohonen, Jukka, et al.
Published: (2025)
by: Ruohonen, Jukka, et al.
Published: (2025)
PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
by: Liu, Dazhuang, et al.
Published: (2026)
by: Liu, Dazhuang, et al.
Published: (2026)
Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks
by: Hossen, Md Imran, et al.
Published: (2024)
by: Hossen, Md Imran, et al.
Published: (2024)
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
by: Ipek, Merve Cigdem, et al.
Published: (2025)
by: Ipek, Merve Cigdem, et al.
Published: (2025)
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution
by: Pohlenz, Christopher G. Pedraza, et al.
Published: (2026)
by: Pohlenz, Christopher G. Pedraza, et al.
Published: (2026)
Analysis of Publicly Accessible Operational Technology and Associated Risks
by: Rodda, Matthew, et al.
Published: (2025)
by: Rodda, Matthew, et al.
Published: (2025)
Quantifying Mix Network Privacy Erosion with Generative Models
by: Mavroudis, Vasilios, et al.
Published: (2025)
by: Mavroudis, Vasilios, et al.
Published: (2025)
On Benchmarking Code LLMs for Android Malware Analysis
by: He, Yiling, et al.
Published: (2025)
by: He, Yiling, et al.
Published: (2025)
AsmRAG: LLM-Driven Malware Detection by Retrieving Functionally Similar Assembly Code
by: Karbab, ElMouatez Billah
Published: (2026)
by: Karbab, ElMouatez Billah
Published: (2026)
MalwarePT: A Binary-Level Foundation Model for Malware Analysis
by: Vasan, Saastha, et al.
Published: (2026)
by: Vasan, Saastha, et al.
Published: (2026)
Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
by: Aryal, Kshitiz, et al.
Published: (2024)
by: Aryal, Kshitiz, et al.
Published: (2024)
Program Analysis for High-Value Smart Contract Vulnerabilities: Techniques and Insights
by: Smaragdakis, Yannis, et al.
Published: (2025)
by: Smaragdakis, Yannis, et al.
Published: (2025)
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2025)
by: Jelodar, Hamed, et al.
Published: (2025)
DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations
by: Trung, Doan Minh, et al.
Published: (2025)
by: Trung, Doan Minh, et al.
Published: (2025)
Malware Analysis on AI Technique
by: Gupta, Amjani, et al.
Published: (2023)
by: Gupta, Amjani, et al.
Published: (2023)
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples
by: Li, Adrian Shuai, et al.
Published: (2024)
by: Li, Adrian Shuai, et al.
Published: (2024)
Evasion of IoT Malware Detection via Dummy Code Injection
by: Zargarzadeh, Sahar, et al.
Published: (2026)
by: Zargarzadeh, Sahar, et al.
Published: (2026)
Image-Based Malware Classification Using QR and Aztec Codes
by: Khadilkar, Atharva, et al.
Published: (2024)
by: Khadilkar, Atharva, et al.
Published: (2024)
Keys on Doormats: Exposed API Credentials on the Web
by: Demir, Nurullah, et al.
Published: (2026)
by: Demir, Nurullah, et al.
Published: (2026)
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
by: Akil, Md Ajwad, et al.
Published: (2025)
by: Akil, Md Ajwad, et al.
Published: (2025)
Comparative Analysis of Hash-based Malware Clustering via K-Means
by: Thein, Aink Acrie Soe, et al.
Published: (2025)
by: Thein, Aink Acrie Soe, et al.
Published: (2025)
Bridging Code Property Graphs and Language Models for Program Analysis
by: Lekssays, Ahmed
Published: (2026)
by: Lekssays, Ahmed
Published: (2026)
Similar Items
-
Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
by: Gibert, Daniel, et al.
Published: (2024) -
Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
by: Patsakis, Constantinos, et al.
Published: (2024) -
Bitcoin Battle: Burning Bitcoin for Geopolitical Fun and Profit
by: Oosthoek, Kris, et al.
Published: (2025) -
The Malware as a Service ecosystem
by: Patsakis, Constantinos, et al.
Published: (2024) -
Just in Plain Sight: Unveiling CSAM Distribution Campaigns on the Clear Web
by: Lykousas, Nikolaos, et al.
Published: (2025)