ŠPAČEK, Stanislav, Pavel ČELEDA, Martin DRAŠAR and Martin VIZVÁRY. Analyzing an Off-the-Shelf Surveillance Software: Hacking Team Case Study. In SPI 2017 - Security and Protection of Information 2017. Brno: Univerzita obrany, 2017, p. 143-158. ISBN 978-80-7231-414-0.
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Basic information
Original name Analyzing an Off-the-Shelf Surveillance Software: Hacking Team Case Study
Authors ŠPAČEK, Stanislav (203 Czech Republic, guarantor, belonging to the institution), Pavel ČELEDA (203 Czech Republic, belonging to the institution), Martin DRAŠAR (203 Czech Republic, belonging to the institution) and Martin VIZVÁRY (703 Slovakia, belonging to the institution).
Edition Brno, SPI 2017 - Security and Protection of Information 2017, p. 143-158, 16 pp. 2017.
Publisher Univerzita obrany
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Informatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14610/17:00094472
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-80-7231-414-0
Keywords in English Hacking Team; Remote Control System; KYPO Cyber Range; Advanced Persistent Threat; Malware Builder Kit
Links VI20162019014, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 4/9/2020 05:32.
Abstract
In July 2015, a major distributor and developer of covert surveillance tools, Italian company Hacking Team, has been hacked. Due to the attack, nearly 400 GB of internal data leaked on sharing networks. The data contained the latest version of the surveillance software named Galileo, including full technical and user documentation. We use this opportunity to examine key features of surveillance software that was designed for governmental agencies and its specification was kept secret. In this paper, we deploy the system in an isolated virtual environment and test its behavior during a surveillance operation. We use collected information to classify the advancement level of Galileo among similar mass-spread malware and the advanced persistent threats tools. With the hindsight of nearly two years, it is also possible to evaluate the impact the data leak had.
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