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Analyzing an Off-the-Shelf Surveillance Software: Hacking Team Case Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F17%3A00094472" target="_blank" >RIV/00216224:14610/17:00094472 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analyzing an Off-the-Shelf Surveillance Software: Hacking Team Case Study

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/VI20162019014" target="_blank" >VI20162019014: Simulation, detection, and mitigation of cyber threats endangering critical infrastructure</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    SPI 2017 - Security and Protection of Information 2017

  • ISBN

    9788072314140

  • ISSN

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    143-158

  • Publisher name

    Univerzita obrany

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article