SAFAIR AI Contest
from 1st March to 31st May
All accepted publications from SPARTA partners under its funding.
Towards Using Source Code Repositories to Identify Software Supply Chain Attacks
Duc Ly Vu, Ivan Pashchenko, Fabio Massacci, Henrik Plate, Antonino SabettaAbstract
Increasing popularity of third-party package repositories, like NPM, PyPI, or RubyGems, makes them an attractive target for software supply chain attacks. By injecting malicious code into legitimate packages, attackers were known to gain more than 100 000 downloads of compromised packages. Current approaches for identifying malicious payloads are resource demanding. Therefore, they might not be applicable for the on-the-fly detection of suspicious artifacts being uploaded to the package repository. In this respect, we propose to use source code repositories (e.g., those in Github) for detecting injections into the distributed artifacts of a package. Our preliminary evaluation demonstrates that the proposed approach captures known attacks when malicious code was injected into PyPI packages. The analysis of the 2666 software ar-tifacts (from all versions of the top ten most downloaded Python packages in PyPI) suggests that the technique is suitable for lightweight analysis of real-world packages.