Jan-Ulrich Holtgrave (CISPA Helmholtz Center for Information Security), Kay Friedrich (CISPA Helmholtz Center for Information Security), Fabian Fischer (CISPA Helmholtz Center for Information Security), Nicolas Huaman (Leibniz University Hannover), Niklas Busch (CISPA Helmholtz Center for Information Security), Jan H. Klemmer (CISPA Helmholtz Center for Information Security), Marcel Fourné (Paderborn University), Oliver Wiese (CISPA Helmholtz Center for Information Security), Dominik Wermke (North Carolina State University), Sascha Fahl (CISPA Helmholtz Center for Information Security)

Critical open-source projects form the basis of many large software systems. They provide trusted and extensible implementations of important functionality for cryptography, compatibility, and security. Verifying commit authorship authenticity in open-source projects is essential and challenging. Git users can freely configure author details such as names and email addresses. Platforms like GitHub use such information to generate profile links to user accounts. We demonstrate three attack scenarios malicious actors can use to manipulate projects and profiles on GitHub to appear trustworthy. We designed a mixed-research study to assess the effect on critical open-source software projects and evaluated countermeasures. First, we conducted a large-scale measurement among 50,328 critical open-source projects on GitHub and demonstrated that contribution workflows can be abused in 85.9% of the projects. We identified 573,043 email addresses that a malicious actor can claim to hijack historic contributions and improve the trustworthiness of their accounts. When looking at commit signing as a countermeasure, we found that the majority of users (95.4%) never signed a commit, and for the majority of projects (72.1%), no commit was ever signed. In contrast, only 2.0% of the users signed all their commits, and for 0.2% of the projects all commits were signed. Commit signing is not associated with projects’ programming languages, topics, or other security measures. Second, we analyzed online security advice to explore the awareness of contributor spoofing and identify recommended countermeasures. Most documents exhibit awareness of the simple spoofing technique via Git commits but no awareness of problems with GitHub’s handling of email addresses.

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Passive Inference Attacks on Split Learning via Adversarial Regularization

Xiaochen Zhu (National University of Singapore & Massachusetts Institute of Technology), Xinjian Luo (National University of Singapore & Mohamed bin Zayed University of Artificial Intelligence), Yuncheng Wu (Renmin University of China), Yangfan Jiang (National University of Singapore), Xiaokui Xiao (National University of Singapore), Beng Chin Ooi (National University of Singapore)

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No Source Code? No Problem! Twenty Years of Research...

Jack W. Davidson, Professor of Computer Science in the School of Engineering and Applied Science, University of Virginia

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TWINFUZZ: Differential Testing of Video Hardware Acceleration Stacks

Matteo Leonelli (CISPA Helmholtz Center for Information Security), Addison Crump (CISPA Helmholtz Center for Information Security), Meng Wang (CISPA Helmholtz Center for Information Security), Florian Bauckholt (CISPA Helmholtz Center for Information Security), Keno Hassler (CISPA Helmholtz Center for Information Security), Ali Abbasi (CISPA Helmholtz Center for Information Security), Thorsten Holz (CISPA Helmholtz Center for Information…

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Mysticeti: Reaching the Latency Limits with Uncertified DAGs

Kushal Babel (Cornell Tech & IC3), Andrey Chursin (Mysten Labs), George Danezis (Mysten Labs & University College London (UCL)), Anastasios Kichidis (Mysten Labs), Lefteris Kokoris-Kogias (Mysten Labs & IST Austria), Arun Koshy (Mysten Labs), Alberto Sonnino (Mysten Labs & University College London (UCL)), Mingwei Tian (Mysten Labs)

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