QUT-DV25 is a dataset designed for dynamic analysis of software supply chain attacks within the Python Package Index ecosystem.
A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks
This dataset is primarily used by researchers and security analysts to study and detect malicious activities associated with Python package installations. It provides detailed behavioral traces that can help identify indicators of compromise in software supply chains.
Ensure that you have the necessary environment set up for eBPF tracing and that you understand the implications of analyzing potentially malicious software.