Towards the Detection of Malicious Java Packages

Towards the Detection of Malicious Java Packages

연구 분야: Safety

학회: SCORED'22: Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses

Open-source software supply chain attacks aim at infecting downstream users by poisoning open-source packages. The common way of consuming such artifacts is through package repositories and the development of vetting strategies to detect such attacks is ongoing research. Despite its popularity, the Java ecosystem is the less explored one in the context of supply chain attacks. In this paper, we present simple-yet-effective indicators of malicious behavior that can be observed statically through the analysis of Java bytecode. Then we evaluate how such indicators and their combinations perform when detecting malicious code injections. We do so by injecting three malicious payloads taken from real-world examples into the Top-10 most popular Java libraries from libraries.io. We found that the analysis of strings in the constant pool and of sensitive APIs in the bytecode instructions aid in the task of detecting malicious Java packages by significantly reducing the information, thus, making also manual triage possible.