The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The state of phishing attacks
Abstract
Looking past the systems people use, they target the people using the systems.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Emperor's New Security Indicators
Schechter, S. E., Dhamija, R., Ozment, A., & Fischer, I. (2007) · 2007 IEEE Symposium on Security and Privacy (SP '07) · doi:10.1109/sp.2007.35 · Cited by 405
Decision strategies and susceptibility to phishing
Downs, J. S., Holbrook, M. B., & Cranor, L. F. (2006) · Proceedings of the second symposium on Usable privacy and security - SOUPS '06 · doi:10.1145/1143120.1143131 · Cited by 352
Cited by
A Taxonomy of Attacks and a Survey of Defence Mechanisms for Semantic Social Engineering Attacks
Heartfield, R., & Loukas, G. (2016) · ACM Computing Surveys · doi:10.1145/2835375 · Cited by 202
A survey of phishing attack techniques, defence mechanisms and open research challenges
Jain, A. K., & Gupta, B. B. (2022) · Enterprise Information Systems · doi:10.1080/17517575.2021.1896786 · Cited by 192
A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats
Mubarak, R., Alsboui, T., Alshaikh, O., Inuwa-Dutse, I., Khan, S., & Parkinson, S. (2023) · IEEE Access · doi:10.1109/access.2023.3344653 · Cited by 132
Systematically Understanding the Cyber Attack Business: A Survey
Huang, K., Siegel, M., & Madnick, S. (2019) · ACM Computing Surveys · doi:10.1145/3199674 · Cited by 112
Chen, J., Mishler, S., Hu, B., Li, N., & Proctor, R. W. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.05.010 · Cited by 50
Metadata
- Authors
- Hong, J.
- Venue
- Communications of the ACM
- Published
- 2012-01
- Volume
- 55
- Issue
- 1
- Pages
- 74-81
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2029591949
- Cited by
- 551
- References
- 2
- FWCI
- 47.16
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The state of phishing attacks. https://app.cochat.ai/papers/10.1145/2063176.2063197
- The paper
- Hong, J. (2012). The state of phishing attacks. Communications of the ACM. https://doi.org/10.1145/2063176.2063197
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
