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An Empirical Analysis of Phishing Blacklists

Research article (Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), 2018) · cited 340× · AI/ML
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An Empirical Analysis of Phishing Blacklists

Summary

An Empirical Analysis of Phishing Blacklists is a scholarly article[1].

Key Facts

  • An Empirical Analysis of Phishing Blacklists's instance of is recorded as scholarly article[2].

Related Entities

Lorrie Cranor

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). An Empirical Analysis of Phishing Blacklists. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-analysis-of-phishing-blacklists
MLA “An Empirical Analysis of Phishing Blacklists.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-analysis-of-phishing-blacklists.
BibTeX @misc{4ortxyz_an-empirical-analysis-of-phishing-blacklists_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Analysis of Phishing Blacklists}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-analysis-of-phishing-blacklists}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Empirical Analysis of Phishing Blacklists — https://4ort.xyz/entity/an-empirical-analysis-of-phishing-blacklists (retrieved 2026-05-24)

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