11 citations · 22 across the 5 of their papers we have counts for
5 papers
The Role of Domain-Specific Features in Malware Detection: A macOS Case Study
Biagio Montaruli, Andrea Oliveri, Savino Dambra +1
Despite the growing popularity of macOS among end users and enterprise systems, malware research has primarily focused on Windows and Android operating systems, leaving the problem…
SourceBroken: A large-scale analysis on the (un)reliability of SourceRank in the PyPI ecosystem
Biagio Montaruli, Serena Elisa Ponta, Luca Compagna +1
SourceRank is a scoring system made of 18 metrics that assess the popularity and quality of open-source packages. Despite being used in several recent studies, none has thoroughly…
One Detector Fits All: Robust and Adaptive Detection of Malicious Packages from PyPI to Enterprises
Biagio Montaruli, Luca Compagna, Serena Elisa Ponta +1
The rise of supply chain attacks via malicious Python packages demands robust detection solutions. Current approaches, however, overlook two critical challenges: robustness against…
ModSec-Learn: Boosting ModSecurity with Machine Learning
Christian Scano, Giuseppe Floris, Biagio Montaruli +7
ModSecurity is widely recognized as the standard open-source Web Application Firewall (WAF), maintained by the OWASP Foundation. It detects malicious requests by matching them agai…
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
Biagio Montaruli, Luca Demetrio, Maura Pintor +3
Machine-learning phishing webpage detectors (ML-PWD) have been shown to suffer from adversarial manipulations of the HTML code of the input webpage. Nevertheless, the attacks recen…