基于取证工件的软件供应链攻击检测

Marc Ohm, Arnold Sykosch, M. Meier
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引用次数: 28

摘要

第三方依赖可能会给软件供应链带来安全风险,从而对其依赖的软件造成伤害。有许多已知的恶意开源包给开发人员和最终用户带来风险的案例。然而,尽管人们努力检测易受攻击的开源软件包,但尚未明确考虑恶意软件包。为了解决这个问题,我们对软件供应链上先前发生的攻击进行了一个探索性的案例研究,这些攻击与所创建的可观察工件有关。基于获得的见解,我们提出Buildwatch,一个用于动态分析软件及其第三方依赖的框架。我们注意到,与同一软件包的良性版本相比,恶意软件包在安装过程中引入了大量的新工件。本文首先对恶意软件包的可观察工件进行了分析,并提出了一种可能的缓解策略,从长远来看,这种策略可能会带来更多的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards detection of software supply chain attacks by forensic artifacts
Third-party dependencies may introduce security risks to the software supply chain and hence yield harm to their dependent software. There are many known cases of malicious open source packages posing risks to developers and end users. However, while efforts are made to detect vulnerable open source packages, malicious packages are not yet considered explicitly. In order to tackle this problem we perform an exploratory case study on previously occurred attacks on the software supply chain with respect to observable artifacts created. Based on gained insights, we propose Buildwatch, a framework for dynamic analysis of software and its third-party dependencies. We noticed that malicious packages introduce a significant amount of new artifacts during installation when compared to benign versions of the same package. The paper presents a first analysis of observable artifacts of malicious packages as well as a possible mitigation strategy that might lead to more insight in long term.
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