Dirty-Waters: Detecting Software Supply Chain Smells

Using open-source dependencies is essential in modern software development. However, this practice implies significant trust in third-party code, while there is little support for developers to assess this trust. As a consequence, attacks, called software supply chain attacks, have been increasingly occurring through third-party dependencies. In this paper, we target the problem of projects that use dependencies, where developers are unaware of the potential risks posed by their software supply chain. We define the novel concept of software supply chain smell and present Dirty-Waters, a novel tool for detecting software supply chain smells. We evaluate Dirty-Waters on three JavaScript projects and demonstrate the prevalence of all proposed software supply chain smells. Dirty-Waters reveals potential risks for previously invisible problems and provides clear indicators for developers to act on the security of their supply chain. A video demonstrating Dirty-Waters is available at: http://l.4open.science/dirty-waters-demo.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3728578
Citations
1
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
3.25
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article

Dirty-Waters: Detecting Software Supply Chain Smells

Martin Monperrus, Sofia Bobadilla, R Liu, Benoît Baudry
1 citations
Software Engineering Research
3.25
article

Dirty-Waters: Detecting Software Supply Chain Smells

Martin Monperrus, Sofia Bobadilla, R Liu, Benoît Baudry
article en
1 citations

Abstract

Using open-source dependencies is essential in modern software development. However, this practice implies significant trust in third-party code, while there is little support for developers to assess this trust. As a consequence, attacks, called software supply chain attacks, have been increasingly occurring through third-party dependencies. In this paper, we target the problem of projects that use dependencies, where developers are unaware of the potential risks posed by their software supply chain. We define the novel concept of software supply chain smell and present Dirty-Waters, a novel tool for detecting software supply chain smells. We evaluate Dirty-Waters on three JavaScript projects and demonstrate the prevalence of all proposed software supply chain smells. Dirty-Waters reveals potential risks for previously invisible problems and provides clear indicators for developers to act on the security of their supply chain. A video demonstrating Dirty-Waters is available at: http://l.4open.science/dirty-waters-demo.

KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 7%
Software Engineering Research
3.25
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Dirty-Waters: Detecting Software Supply Chain Smells — Martin Monperrus, Sofia Bobadilla, et al. · (2025) | TGRS Research Map | TGRS