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Review OSINT tool for social engineering
In recent years, we observed an increase in cyber threats, especially social engineering attacks. By social engineering, we mean a set of techniques and tools to collect information about a person or target to extort sensitive information. Such information might be used for (industrial) espionage, t...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504660/ https://www.ncbi.nlm.nih.gov/pubmed/37719683 http://dx.doi.org/10.3389/fdata.2023.1169636 |
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author | Nobili, Martina |
author_facet | Nobili, Martina |
author_sort | Nobili, Martina |
collection | PubMed |
description | In recent years, we observed an increase in cyber threats, especially social engineering attacks. By social engineering, we mean a set of techniques and tools to collect information about a person or target to extort sensitive information. Such information might be used for (industrial) espionage, to blackmail the user, or represent the starting point to perform malicious cyber attacks against the individual or, more often, against the organization they work for. The human factor is often the most vulnerable element in the security of any system, and the mass of information we disseminate online largely facilitates social engineering activities. To prevent and mitigate social engineering attacks, Open Source INTelligence (OSINT) techniques and tools can be used to evaluate the level of exposition of an individual or an organization. OSINT is the collection of information through open sources, that is, sources not protected by copyright or privacy. The article reviews the main OSINT tools for countering and preventing social engineering attacks. Specifically, it proposes the different tools diving them accordingly to the specific information they allow to track (e-mail, social profiles, phone numbers, etc.). |
format | Online Article Text |
id | pubmed-10504660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105046602023-09-17 Review OSINT tool for social engineering Nobili, Martina Front Big Data Big Data In recent years, we observed an increase in cyber threats, especially social engineering attacks. By social engineering, we mean a set of techniques and tools to collect information about a person or target to extort sensitive information. Such information might be used for (industrial) espionage, to blackmail the user, or represent the starting point to perform malicious cyber attacks against the individual or, more often, against the organization they work for. The human factor is often the most vulnerable element in the security of any system, and the mass of information we disseminate online largely facilitates social engineering activities. To prevent and mitigate social engineering attacks, Open Source INTelligence (OSINT) techniques and tools can be used to evaluate the level of exposition of an individual or an organization. OSINT is the collection of information through open sources, that is, sources not protected by copyright or privacy. The article reviews the main OSINT tools for countering and preventing social engineering attacks. Specifically, it proposes the different tools diving them accordingly to the specific information they allow to track (e-mail, social profiles, phone numbers, etc.). Frontiers Media S.A. 2023-09-01 /pmc/articles/PMC10504660/ /pubmed/37719683 http://dx.doi.org/10.3389/fdata.2023.1169636 Text en Copyright © 2023 Nobili. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Nobili, Martina Review OSINT tool for social engineering |
title | Review OSINT tool for social engineering |
title_full | Review OSINT tool for social engineering |
title_fullStr | Review OSINT tool for social engineering |
title_full_unstemmed | Review OSINT tool for social engineering |
title_short | Review OSINT tool for social engineering |
title_sort | review osint tool for social engineering |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504660/ https://www.ncbi.nlm.nih.gov/pubmed/37719683 http://dx.doi.org/10.3389/fdata.2023.1169636 |
work_keys_str_mv | AT nobilimartina reviewosinttoolforsocialengineering |