Cover Image

The Malware as a Service ecosystem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Patsakis, Constantinos, Arroyo, David, Casino, Fran
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
by: Patsakis, Constantinos, et al.
Published: (2024)

Inside LockBit: Technical, Behavioral, and Financial Anatomy of a Ransomware Empire
by: Castaño, Felipe, et al.
Published: (2025)

Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection
by: Guo, Yuejun, et al.
Published: (2024)

Analysing Multidisciplinary Approaches to Fight Large-Scale Digital Influence Operations
by: Arroyo, David, et al.
Published: (2025)

Coding Malware in Fancy Programming Languages for Fun and Profit
by: Apostolopoulos, Theodoros, et al.
Published: (2025)

QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery
by: Tsigkourakos, George, et al.
Published: (2026)

Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
by: Gibert, Daniel, et al.
Published: (2024)

Just in Plain Sight: Unveiling CSAM Distribution Campaigns on the Clear Web
by: Lykousas, Nikolaos, et al.
Published: (2025)

Evading and crashing anti-malware solutions via data collection overloading during analysis serialization
by: Gkritsis, Evgenios, et al.
Published: (2025)

Hello, won't you tell me your name?: Investigating Anonymity Abuse in IPFS
by: Karapapas, Christos, et al.
Published: (2025)

The potential of LLM-generated reports in DevSecOps
by: Lykousas, Nikolaos, et al.
Published: (2024)

Enhanced Cyber Threat Intelligence by Network Forensic Analysis for Ransomware as a Service(RaaS) Malwares
by: P, Sharmila S
Published: (2026)

MalwarePT: A Binary-Level Foundation Model for Malware Analysis
by: Vasan, Saastha, et al.
Published: (2026)

Malware Analysis on AI Technique
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)

Malware Classification Based on Image Segmentation
by: Nie, Wanhu
Published: (2024)

Explainability-Informed Targeted Malware Misclassification
by: Card, Quincy, et al.
Published: (2024)

Honeypot-powered Malware Reverse Engineering
by: Bombardieri, Michele, et al.
Published: (2015)

ML-Based Behavioral Malware Detection Is Far From a Solved Problem
by: Kaya, Yigitcan, et al.
Published: (2024)

SoK: Leveraging Transformers for Malware Analysis
by: Kunwar, Pradip, et al.
Published: (2024)

Optimal Control of Malware Propagation in IoT Networks
by: Jafar, Mousa Tayseer, et al.
Published: (2024)

Deep Learning Models for Detecting Malware Attacks
by: Maniriho, Pascal, et al.
Published: (2022)

Target Attack Backdoor Malware Analysis and Attribution
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)

An Explainable Memory Forensics Approach for Malware Analysis
by: Sanna, Silvia Lucia, et al.
Published: (2026)

Adversarially Robust and Interpretable Magecart Malware Detection
by: Pereira, Pedro, et al.
Published: (2025)

Hydra: Robust Hardware-Assisted Malware Detection
by: Propp, Eli, et al.
Published: (2026)

From Cracks to Crooks: YouTube as a Vector for Malware Distribution
by: Vakilinia, Iman
Published: (2025)

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
by: Aryal, Kshitiz, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis
by: Ng, Jayson, et al.
Published: (2026)

Enhancing Malware Fingerprinting through Analysis of Evasive Techniques
by: Abuadbba, Alsharif, et al.
Published: (2025)

Unveiling Malware Patterns: A Self-analysis Perspective
by: Zhong, Fangtian, et al.
Published: (2025)

Tarallo: Evading Behavioral Malware Detectors in the Problem Space
by: Digregorio, Gabriele, et al.
Published: (2025)

Through the Static: Demystifying Malware Visualization via Explainability
by: Brosolo, Matteo, et al.
Published: (2025)

Enhancing Android Malware Detection with Retrieval-Augmented Generation
by: S., Saraga, et al.
Published: (2025)

Explainable Deep Learning Models for Dynamic and Online Malware Classification
by: Card, Quincy, et al.
Published: (2024)

Semantic Data Representation for Explainable Windows Malware Detection Models
by: Švec, Peter, et al.
Published: (2024)

Feasibility Study for Supporting Static Malware Analysis Using LLM
by: Fujii, Shota, et al.
Published: (2024)

Bayesian Learned Models Can Detect Adversarial Malware For Free
by: Doan, Bao Gia, et al.
Published: (2024)

Multi-label Classification for Android Malware Based on Active Learning
by: Qiao, Qijing, et al.
Published: (2024)

Effectiveness of Adversarial Benign and Malware Examples in Evasion and Poisoning Attacks
by: Kozák, Matouš, et al.
Published: (2025)