Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement

With the advent of the Internet of Things (IoT) era, the concept of smart office has gradually come true. To facilitate the management, IoT devices often follow authentication mechanisms as windows domain used, which would cause severe problems once hackers steal those credentials. This study analyz...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Tung-Lin Lee, I-Hsien Liu, Chu-Fen Li, Jung-Shian Li
Formato: article
Lenguaje:EN
Publicado: Atlantis Press 2021
Materias:
IWA
T
Acceso en línea:https://doaj.org/article/c5752a0fb27e4f6ea3770c78ffc9e0ac
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c5752a0fb27e4f6ea3770c78ffc9e0ac
record_format dspace
spelling oai:doaj.org-article:c5752a0fb27e4f6ea3770c78ffc9e0ac2021-11-17T09:01:14ZThreats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement10.2991/jrnal.k.210922.0081259613872352-6386https://doaj.org/article/c5752a0fb27e4f6ea3770c78ffc9e0ac2021-10-01T00:00:00Zhttps://www.atlantis-press.com/article/125961387/viewhttps://doaj.org/toc/2352-6386With the advent of the Internet of Things (IoT) era, the concept of smart office has gradually come true. To facilitate the management, IoT devices often follow authentication mechanisms as windows domain used, which would cause severe problems once hackers steal those credentials. This study analyzes the restriction of previous research and proposes a new technique that could cause credential leaks and organizes an attack mechanism to evaluate the most suitable strategy in various scenarios.Tung-Lin LeeI-Hsien LiuChu-Fen LiJung-Shian LiAtlantis PressarticleIWAactive directoryphishingcredential harvestingcybersecurityTechnologyTENJournal of Robotics, Networking and Artificial Life (JRNAL), Vol 8, Iss 3 (2021)
institution DOAJ
collection DOAJ
language EN
topic IWA
active directory
phishing
credential harvesting
cybersecurity
Technology
T
spellingShingle IWA
active directory
phishing
credential harvesting
cybersecurity
Technology
T
Tung-Lin Lee
I-Hsien Liu
Chu-Fen Li
Jung-Shian Li
Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement
description With the advent of the Internet of Things (IoT) era, the concept of smart office has gradually come true. To facilitate the management, IoT devices often follow authentication mechanisms as windows domain used, which would cause severe problems once hackers steal those credentials. This study analyzes the restriction of previous research and proposes a new technique that could cause credential leaks and organizes an attack mechanism to evaluate the most suitable strategy in various scenarios.
format article
author Tung-Lin Lee
I-Hsien Liu
Chu-Fen Li
Jung-Shian Li
author_facet Tung-Lin Lee
I-Hsien Liu
Chu-Fen Li
Jung-Shian Li
author_sort Tung-Lin Lee
title Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement
title_short Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement
title_full Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement
title_fullStr Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement
title_full_unstemmed Threats Hidden in Office Network: Mechanism of Credential Harvesting for Lateral Movement
title_sort threats hidden in office network: mechanism of credential harvesting for lateral movement
publisher Atlantis Press
publishDate 2021
url https://doaj.org/article/c5752a0fb27e4f6ea3770c78ffc9e0ac
work_keys_str_mv AT tunglinlee threatshiddeninofficenetworkmechanismofcredentialharvestingforlateralmovement
AT ihsienliu threatshiddeninofficenetworkmechanismofcredentialharvestingforlateralmovement
AT chufenli threatshiddeninofficenetworkmechanismofcredentialharvestingforlateralmovement
AT jungshianli threatshiddeninofficenetworkmechanismofcredentialharvestingforlateralmovement
_version_ 1718425697999912960