APT to Disagree

A Comparative Analysis of Attribution in Commercial TI

Conference Paper (2026)
Author(s)

Aksel Ethembabaoglu (TU Delft - Technology, Policy and Management)

Rolf Van Wegberg (TU Delft - Technology, Policy and Management)

Yury Zhauniarovich (TU Delft - Technology, Policy and Management)

Michel Van Eeten (TU Delft - Technology, Policy and Management)

Research Group
Organisation & Governance
DOI related publication
https://doi.org/10.1109/SP63933.2026.00215 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Organisation & Governance
Pages (from-to)
4769-4787
Publisher
IEEE
ISBN (electronic)
9798331560652
Event
47th IEEE Symposium on Security and Privacy, SP 2026 (2026-05-18 - 2026-05-21), San Francisco, United States
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Abstract

Attributed cyber threat intelligence (TI) plays an important role in the effective mitigation of cyber attacks. Yet, despite the central role of attribution in policy, practice, and vendor reporting, little is known about the coverage and reliability of attribution by threat intelligence vendors. No study has systematically investigated attribution across a large set of leading TI vendors. We close this gap and provide a longitudinal comparative analysis across 13.5 million IOCs collected over the last 14 years from seven vendors. To compare IOC attribution across vendors, we normalize heterogeneous feeds and reconcile actor names using an evaluated and augmented version of MISP Threat Actor Galaxy (MISP TAG). Next, we address two questions: (i) what is the scope of actor-tracking by vendors, and (ii) how consistent is attribution among vendors? We find that the majority of actors tracked by one vendor are not tracked by the other. Furthermore, IOCs observed by multiple TI vendors are rare (1 %), illustrating that commercial TI feeds, like open-source feeds, primarily provide singleton IOCs. We also find limited overlap in IOCs for jointly tracked actors by two vendors. We measure attribution agreement among vendors with Krippendorff's α. We find mostly moderate agreement among vendors for actor attribution. By contrast, country attribution has high agreement. Our results have implications for actor-centric defenses, compliance, and geopolitical uses of attribution.

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