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Propagation Model for SSC Attacks: Why SBOM (Tools) don't Tell the Whole Truth

Unknown authors
Sep 2026 · ARES · pp. 557-574 · 1 citation · 29 references
Computer Science

TL;DR

It is argued that putting propagation effects at the centre of SSC security research is essential to prevent cyber risk evolving into systemic risks.

Abstract

Ensuring security of software supply chains (SSC) is indispensable in today's world of modern software practices. SBOM (tools) have been introduced as relevant building blocks to ensure the transparency of SSCs. However they have serious limitations in practices as their vulnerability detection and interpretation capacity is not sufficient to explain exploitability effects that can propagte through the whole chain. To address this gap, we propose a propagation-centred approach to SSC security and introduce a four-stage propagation model. We empirically evaluate four open-source SBOM tools against each stage using three projects and Log4j vulnerability as our test case. Our results show that current SBOM tools systematically support only Stage 1 (Structural Exposure) and Stage 2 (Vulnerability Class Presence) while Stage 3 (Code Reachability) and Stage 4 (Taint Path Analysis) require capabilities absent from the SBOM ecosystem. We argue that putting propagation effects at the centre of SSC security research is essential to prevent cyber risk evolving into systemic risks. Our research findings contribute to a future research and design of modern SSC security tools.

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