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Plan de mitigación de riesgos ante vulnerabilidades y amenazas presentes en un dispositivo IoT

 

Risk mitigation plan for vulnerabilities and threa= ts in an IoT device

 


= 1

John Fernando Calle Sarmiento =

 

https://orcid.org/0009-0009-4840-6433

 

 

Maestría en Cibers= eguridad, Universidad Católica de Cuenca, Azuay, Cuenca, Ecuador.=

jfcalles74@est.ucacue.edu.ec=

= 2

Juan Pablo Cuenca Tapia

 

https://orcid.org/0000-0001-5982-634X

 

 

Maestría en Ciberseguridad, Universidad Católica de Cuenca, Azuay, Cuenca, Ecuador.

jpcuenca@ucacue.edu.ec

 

 

 =

 =

 =

 =

 =

 =

 =

 =

 

Artículo de Investigación Científica y Tecnológica

Enviado: 24/08/2023

Revisado: 22/09/2023

Aceptado: 09/10/2023

Publicado:06/11/2023

DOI: https://doi.org/10.33262/concienciadigital.v6i4.2.2773<= /span>    <= /o:p>

 

=  

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Cítese= :

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Calle Sarmiento , J. F., & Cuenca Tapia, J. P. (20= 23). Plan de mitigación de riesgos ante vulnerabilidades y amenazas presentes = en un dispositivo IoT. ConcienciaDigital, 6(4.2), 141-160. https:= //doi.org/10.33262/concienciadigital.v6i4.2.2773

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<= /o:p>

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CONCIE= NCIA DIGITAL, es una revista multidisciplinar, trimestral, qu= e se publicará en soporte electrónico tiene como misión contribuir a la   formación de profesionales competentes con visión humaníst= ica y crítica que sean capaces de exponer sus resultados investigativos y científicos en la misma medida que se promueva mediante su intervención cambios positivos en la sociedad. https://concienciadigital.org  

La rev= ista es editada por la Editorial Ciencia Digital (Editorial de prestigio registrada en la Cámara Ecuatoriana de Libro con No de Afiliación 663) www.celibro.org.ec

<= span style=3D'text-decoration:none'> 

 

 

Esta revista está protegida bajo una licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 International. Copia de= la licencia: = https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es <= /o:p>

 

Palabras claves:

OWASP; vulnerabilidades;

amenazas; mitigación; riesgos.

 

Resumen

Introducción= . La rápida evolución tecnológica= , en particular el Internet de las cosas (IoT), ha transformado la vida cotidi= ana. Sin embargo, las cámaras web, utilizadas para múltiples propósitos, enfre= ntan amenazas como el acceso no autorizado, la filtración de información y la transmisión de video en tiempo real a otros dispositivos. Esta problemáti= ca se centra en determinar si la cámara TP-Link Kasa Spot, un dispositivo Io= T, está expuesta a vulnerabilidades que puedan comprometer la seguridad de datos. Objetivo. Llevar a cabo una evaluación de las amenazas y debilidades presentes en la cámara web y su aplicación móvil, utilizando herramientas de software especializadas, con la finalidad de preservar la confidencialidad, integridad y disponibilidad del dispositivo IoT. Met= odología. Para llevar a cabo esta investigación, se ha optado por utilizar la metodología OWASP, ya que su estructura es práctica y adecuada para el proceso. Resultados. El estudio se enfocó en la creación de un plan exhaustivo de mitigación de riesgos para abordar las vulnerabilidades y amenazas presentes en la cámara web y la aplicación móvil. Con el propósi= to de brindar a los usuarios una mayor protección, concientización y confian= za en el uso de la tecnología emergente. Conclusión. Después de anali= zar los resultados, se concluye que la implementación del plan de mitigación = de riesgos ha contribuido a mejorar la experiencia de uso de esta tecnología= , lo que a su vez ayuda a prevenir potenciales ataques en el futuro. Área de estudio general: Tecnología= s de la Información. Área de estudio específica: Ciberseguridad.

 

Keywords:=

OWASP; vulnerabilities; threats; mitigation; risks.

 

Abstract=

Introduction. The Internet of Things (IoT) has drastically changed daily life because of the rapid advancement of technology. Webcams, which serve a variety of functions, are, nevertheless, vulnerable to dangers like illegal access, = data leakage, and real-time video streaming to other devices. The goal of this investigation is to determine whether the IoT device, the TP-Link Kasa Sp= ot camera, is vulnerable to flaws that could jeopardize data security. Ob= jective. Using specialist software tools, evaluate the dangers and weaknesses inhe= rent in the webcam and its mobile application to maintain the IoT device's confidentiality, integrity, and availability. Methodology. We chose the OWASP methodology to conduct this research since its structure is practical and suited for the procedure. Results. The study aimed to develop a comprehensive risk mitigation strategy to address the vulnerabilities and threats found in the webcam and mobile application. W= ith the goal of increasing user protection, awareness, and confidence in the = use of modern technologies. Conclusion. Based on the results, it is considered that the risk mitigation plan's implementation has contributed= to improving the experience of using this technology, which in turn helps prevent potential future attacks. General Area of Study: Information Technology. Specific Area of Study: Cybersecurity.

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Intr= oducción

La gran evolución tecnológica que se han tenido en los últimos años ha influid= o en la forma y manera en la que se realizan ciertas actividades, por ejemplo “E= n la actualidad el internet de las cosas (IoT) ha producido un gran impacto en la sociedad, lo cual ha transformado nuestra vida cotidiana en todos los ámbit= os, como laboral, empresarial, industrial, social” (Cruz et al., 2015), y considerando que “al ser equipos electrónicos, estos disponen de procesadores, tarjetas de red, memoria y sistemas operativos, por esta composición podría ocasionar vulnerabilidades= que pueden ser aprovechado por los atacantes”(Arnau, 2023).

“La lucha constante de las personas por satisfacer sus propias necesidades de comunicación, es la fuerza impulsora detrás de la construcción de procesos = de comunicación cada vez más potentes y rápidos en todo el mundo” (Bellasmil & Zúñiga, 2018), ante esto uno de los procesos ha sido el desarrollo de cámaras web para el control, monitoreo, seguridad, videoconferencias, entre otras.

Enfocándose en una cámara web, se debe prestar atención por la importancia de las misma= s en los sistemas y entidades donde se implementan, como problemática se identif= ica el acceso no autorizado, filtración de información, grabación y transmisión= de video en tiempo real, hacia otros dispositivos (Lluís & Robles, 2022). En cuanto a los riesgos y vulnerabilidad= es, se infiere que son versátiles y surgen a cada momento (aparecen nuevos ataq= ues y atenuaciones), divididos en varios componentes, según su naturaleza (Cerasela, 2021).<= /o:p>

Dicho lo anterior la problemática presentada surge de la necesidad de saber si un dispositivo IoT está expuesto a vulnerabilidades y brechas de seguridad que afecten alguno de los ejes de la triada CID, en este preciso caso la cámara TP-Link Kasa Spot (Tp-link, 2023).

Metodología

Para el desarrollo de esta investigación se utilizó la metodología OWASP propues= ta por (Li & Mogos, 2023). En la figura 1 se muestra los p= asos que dicha metodología recomienda utilizar para que los resultados tengan validez y sean óptimos.

Para desarrollar la metodología se utilizará el sistema operativo Kali Linux (Millán-Rojas et al., 2016). Dentro de una máquina virtual la cual ayudara a tener un mejor uso del sistema operativo (Ortiz et al., 2022).

En la figura 1, a continuación, muestra as fases de la metodología OWASP.=

Figura = 1

Fases de la Metodología OWASP<= span style=3D'mso-bookmark:_Hlk81985521'>

Fuente:= basado en Hernández (2022)

Desarrollo

El análisis se llevó a cabo en un laboratorio controlado. Este enfoque permite garantizar que los resultados obtenidos no afecten a ninguno en particular,= y se mantendrá la confidencialidad necesaria para preservar la seguridad de l= os datos. Además, el proyecto se centró en la detección de vulnerabilidades establecida en el marco de trabajo de OWASP, para llevar a cabo el análisis= , se utilizarán herramientas de reconocimiento como Nmap y OpenVas. Estas herramientas son ampliamente utilizadas en el análisis de vulnerabilidades y facilitan la exploración y el análisis del dispositivo IoT ADDIN CSL_CITATION {"citationItems":[{"id":"ITEM-1","itemDa= ta":{"ISBN":"0979958717","abstract":&quo= t;Includes index. Nmap Network Scanning is the official guide to the Nmap Security Scanner, a free and open source utility used by millions of people for netw= ork discovery, administration, and security auditing. From explaining port scan= ning basics for novices to detailing low-level packet crafting methods used by advanced hackers, this book suits all levels of security and networking professionals. A 42-page reference guide documents every Nmap feature and option, while the rest of the book demonstrates how to apply those features= to quickly solve real-world tasks. Examples and diagrams show actual communica= tion on the wire. Topics include subverting firewalls and intrusion detection systems, optimizing Nmap performance, and automating common networking tasks with the Nmap Scripting Engine. Hints and instructions are provided for com= mon uses such as taking network inventory, penetration testing, detecting rogue wireless access points, and quashing network worm outbreaks. Nmap runs on W= indows, Linux, and Mac OS X. Nmap's original author, Gordon \"Fyodor\" Ly= on, wrote this book to share everything he has learned about network scanning during more than 11 years of Nmap development. Visit http://nmap.org/book f= or more information and sample chapters. Getting started with Nmap -- Obtainin= g, collecting, installing, and removing Nmap -- Host discovery (ping scanning)= -- Port scanning overview -- Port scanning techniques and algorithms -- Optimi= zing Nmap performance -- Service and application version deduction -- Remote OS detection -- Nmap scripting engine -- Detecting and subverting firewalls and intrusion detection systems -- Defenses against Nmap -- Zenmap GUI users' g= uide -- Nmap output formats -- Understanding and customizing Nmap data files -- = Nmap reference guide.","author":[{"dropping-particle":""= ;,"family":"Lyon","given":"Gordon Fyodor.","non-dropping-particle":"","parse-na= mes":false,"suffix":""}],"id":"ITEM= -1","issued":{"date-parts":[["2008"]]},&= quot;number-of-pages":"434","publisher":"Inse= cure","title":"Nmap network scanning : official Nmap project guide to network discovery and security scanning","type":"book"},"uris":["h= ttp://www.mendeley.com/documents/?uuid=3D32d5cba8-e24d-4bb7-a967-6d815355ce= 36"]}],"mendeley":{"formattedCitation":"(Lyon, 2008)","plainTextFormattedCitation":"(Lyon, 2008)","previouslyFormattedCitation":"(Lyon, 2008)"},"properties":{"noteIndex":0},"schema&= quot;:"https://github.com/citation-style-language/schema/raw/master/cs= l-citation.json"}(Lyon, 2008).

Fase 1: Recopilación de información

Recopilación de IPs y puertos: Se busca obtener la dirección IP de la cámara que se quie= re analizar. Para lograr esto, se manejará diferentes herramientas y técnicas. Mediante un mapeo de la red se pretende obtener información necesaria que p= ermita realizar un correcto análisis de las vulnerabilidades del dispositivo IoT <= /span>(Álvarez, 2023).

Para la identificación de la IP y puertos abiertos se usa Nmap, con los siguient= es comandos que se describe en la figura 2, a continuación.<= /span>

Figura = 2

Comando Nmap Para la Búsqueda de Dirección IP

Fuente: basado en Lyon (2008)

Además, con el comando que especifica en la figura 3, muestra los puertos abiertos = de la cámara web, dando así datos al ciber atacante para poder realizar el = pentesting del dispositivo.

Figura = 3

Comando Nmap para identificar puertos abiertos

En la tabla 1, se muestra cada un= o de los puertos abiertos y cuál es su vulnerabilidad respectiva a la que afecta= .

Tabla <= /span>1

Descripción de puertos

Puerto

Estado

Descripción<= /span>

Posibles ataques

9999/tcp (Abyss Web Service)

Open<= /p>

Utilizado para servicios y aplicaciones de red diferentes.

Ataque Dos

10443/tcp

Open<= /p>

Servicios web seguro.

Protocolos HTTPS para cifrar la comunicación entre cliente y el servidor.

Ataque de fuerza bruta (descub= rir contraseñas débiles)

Ataques de inyección SQL<= /o:p>

17443/tcp

Open<= /p>

Productos de seguridad como: firewall y sistemas de gestión de seguridad.

Ataques de denegación de servi= cios (DoS).

18443/tcp

Open<= /p>

Servicios de mensajería.0=

Ataque de hombre en el medio (MITM).

19443/tcp

Open<= /p>

Servicios web seguros (HTTPS, = SSL)

Ataques de phishing (engaño a = los usuarios).

Nota:  Análisis realizado con la herramienta NMAP

Fase 2: Análisis de vulnerabilidades

Según Díaz (2022), se utilizó la información obtenida en el paso previo para realizar un análisis= en herramientas necesarias.

En las figuras 4 y 5, se muestra el proceso y análisis de las vulnerabilidades= de acuerdo con la dirección IP encontrada en la fase anterior.  

Figura = 4

Especificación de dirección IP en OpenVAS=

Fuente: basado en la herramienta OpenVAS,= Chiluiza & Enciso (2023)

Figura = 5

Resultado de análisis de vulnerabilidades

Nota: basado en la herramienta OpenVAS=

En esta figura se muestra un resumen de las vulnerabilidades encontradas, en el siguiente orden:

·      =    18 vulnerabilidades de tipo log que representan una criticidad nula=

·      =    2 vulnerabilidades de tipo low, que representan una criticidad baja.

Por lo tanto, se decidió utilizar estas últimas con la finalidad de mitigarlas.=

Activos afectados por las vulnerabilidades

En la tabla 2, se muestra las vulnerabilidades encontradas en el análisis ejecutado en la herramienta OpenVAS, además se detalla su valoración de la triada CID.

Código de Vulnerabilidad

Código Activo<= /o:p>

Activo de informaci= ón

Vulnerabilidad=

Disponibilidad=

Integridad

Confidencialidad

Severidad

Impacto

Vul-01

 

Act-001

Cámara web

TCP Timestamps

Ninguna

Ninguna

Parcial

Bajo

Prescindible

Vul-02

Act-001

Cámara web

Ninguna

Ninguna

Parcial

Bajo

Prescindible

Tabla 2

Listado= de vulnerabilidades

Análisis de vulnerabilidades 

En la tabla 3 y 4, se detallan todo lo relacionado con las vulnerabilidades encontradas.

Tabla <= /span>3

Descripción a detalle de la vulnerabilidad

CODIGO

CVSS

TITULO=

Vul-01

CVSS Base Vector:

AV:/AC:H/Au:N/C:P/I:N/A:N

CVSS Origin: N/A

TCP Timestamps

CONFIDENCIALIDAD

INTEGRIDAD

DISPONIBILIDAD

Parcial

Ninguna

Alta

 <= /o:p>

Tabla 3

Descripción a detalle de la vulnerabilidad (continuación)

DESCRIPCION

La vulnerabilidad de TCP Timestamps puede afecta= r la privacidad y seguridad en línea al permitir que los atacantes obtengan información sensible, identifiquen dispositivos y realicen ataques DoS y = de inundación de paquetes.

REFERENCIAS

RFC 7323 - T= CP Extensions for High Performance - This document defines the TCP Timestamps option and explains its use.

RFC 1323 - T= CP Extensions for High Performance - This document first introduced the TCP Timestamps option.

Stevens, W. Richard. TCP/IP Illustrated, Volume 1: The Protocols (2nd Edition). Addison-Wesley, 2011. - This book provides a detailed explanation of the = TCP Timestamps option and its use.

Kurose, James F., and Keith W. Ross. Computer Networking: A Top-Down Approach (7th Edition). Pearson, 2016. - This book introduces TCP and includes a discus= sion of the TCP Timestamps option.<= /span>

EVIDENCIAS CVSS

Nota: basado en matriz de identificaci= ón de vulnerabilidades

 <= /o:p>

 <= /o:p>

 <= /o:p>

Tabla <= /span>4

Descripción a detalle de la vulnerabilidad

CODIGO

CVSS

TITULO

Vul-02

CVSS Base Vector:

AV: L/AC:L/A= u:N/C:P/I:N/A: N

CVSS: Origin= N/A

ICMP Timestamp Reply Information Disclosure<= /p>

CONFIDENCIALIDAD

INTEGRIDAD

DISPONIBILIDAD

Parcial

Ninguna

Alta

DESCRIPCION

La vulnerabilidad de ICMP Timestamp Reply Information Disclosure permite a un atacante obtener información sensible a través de las respuestas de tiempo de los disposit= ivos en una red. Esto podría revelar detalles sobre el sistema, incluyendo su tiempo de actividad y posiblemente su ubicación. Los atacantes también podrían utilizar esta información para explotar vulnerabilidades y realiz= ar ataques adicionales en la red. Es importante aplicar medidas de seguridad= y configuración adecuadas para proteger contra esta vulnerabilidad.

REFERENCIAS

MISC:http://descriptions.securescout.com/tc/1101= 0

MISC:http://descriptions.securescout.com/tc/1101= 1

MISC:http://kb.vmware.com/selfservice/microsites= /search.do?cmd=3DdisplayKC&externalId=3D1434

EVIDENCIAS

Nota: <= /span>basado en matriz de identificació= n de vulnerabilidades<= /span>

OWASP Mobile Top Ten

Se realizó un análisis de las vulnerabilidades mediante la herramienta MobSF, = para identificar los riesgos y amenazas que se encuentra expuesta la aplicación móvil (Abdullah et al., 2022).

En la figura 6, se aprecia la información detallada de la aplicación móvil que= se analizó.  =

Figura = 6

Descripción de la Aplicación Móvil

Nota: <= /span>basado en Bozzini & Bozzini (2023)

Análisis de seguridad<= /span>

En la tabla 5, se identifica las vulnerabilidades encontradas en el análisis d= e la aplicación móvil, utilizando la herramienta MobSF.=

Tabla <= /span>5

Análisis de manifiesto

Asunto<= /o:p>

Severidad

Descripción<= o:p>

Los datos de= la aplicación se pueden respaldar

[android:allowBackup:true] flag is missing.=

Medio

El indicad= or [android: allowBackup:true] de forma predeterminada, se establece en verdadero y permite que cualquier persona haga una copia de seguridad de = los datos de su aplicación a través de ADB. Permite a los usuarios que han habilitado la depuración de USB copiar datos de aplicaciones fuera del dispositivo.

Análisis manual de aplicación móvil 

·      =    Vulnerabilidades de autenticación: La cámara utiliza un sistema de autenticación para permit= ir el acceso a la misma.

·      =    Exposición de datos: Estas vulnerabilidades permiten a un atacante acceder a esos dato= s, incluyendo video o audio capturados por la cámara y alojados en la nube.

·      =    Vulnerabilidades en la conexión wifi: La cámara se conecta a una red wifi, lo que la hace susceptible a posibles ataques como el robo de contraseñas, el ataque de ho= mbre en el medio, la suplantación de identidad de la red wifi, entre otros.=

 =

Vulnerabilidades y Amenazas En La Cámara Web y Aplicación Móvil

En la tabla 6, de detalla las amenazas y la clasificación del CID, que se podr= ían encontrar en un ambiente común sobre la aplicación móvil que maneja el funcionamiento de las cámaras web TP-Link Kasa Spot.

Tabla <= /span>6

Amenazas encontradas

Amenaza

Descripción

C

I

D

Impacto

Acceso no autorizad= o

Terceras personas pueden acceder a la cámara web sin permiso, ya sea de manera física o rem= ota, así teniendo acceso a la privacidad del usuario afectando la confidencialidad, integridad y disponibilidad.

Alto

Bajo

Alto

Importante

Descarga de aplicac= ión de tienda no oficial

Las descargas de si= tios no oficiales

Alto

Alto

Alto

Grave

Malware<= /span>

Existen varias mane= ras de infectar una cámara web. Dando acceso al atacante teniendo así acceso = al dispositivo.

Alto

Alto

Alto

Grave

Intercepción de dat= os (MiTM)

El atacante puede interceptar los datos de la cámara web y utilizar con fines maliciosos.

Alto

Bajo

Bajo

Importante

Configuración inadecuada

Configuración incorrecta o insegura

Bajo

Bajo

Bajo

Prescindible <= /o:p>

Espionaje corporati= vo

Las cámaras pueden = ser utilizadas en el trabajo para controlar a los empleados.

Bajo

Bajo

Bajo

Prescindible

Ataque de fuerza br= uta

Técnica utilizada p= ara descifrar contraseñas. 

Medio

Alto

Medio

Importante

Ataque de denegació= n de servicios (DoS)

Busca la forma de abrumar al servidor o al tráfico de red así dejando inaccesible.

Bajo

Bajo

Alto

Importante

Fase 3: Explotación de vulnerabilidades 

Se utilizó herramientas alojadas en Kali Linux con la finalidad de verificar la seguridad que posee el dispositivo.

Prueba de marca de= tiempo

Se realizó una prueba de tempo del análisis TCP/IP para verificar las marcas de tiempo de la vulnerabilidad ICMP Timestamp Reply Information Disclosure,= que se encontró en el análisis de vulnerabilidades.

Para el desarrollo de las siguientes pruebas se usó las herramientas Wireshark p= ara el control de tráfico de red y hping3, para él envió de comandos para verif= icar el Timestamp (Castro, 2023).

En la figura 7, se muestra el comando de conexión del dispositivo IoT y el filtrado de la dirección IP de la maquina atacante para la verificación del tráfico de datos.

Figura = 7

Detalle de la Conexión

Nota: <= /span>basado en la herramienta Kali Lin= ux y Wireshark

En la figura 8, se muestra el comando con la función de disparar paquetes al dispositivo para obtener el tiempo de respuesta.

Figura = 8

Verificación del tiempo de respuesta<= /span>

Nota: <= /span>basado en la herramienta hping3 (= Kali Linux)

En la figura 8, se pudo apreciar la ejecución de comando con el objetivo de obtener el tiempo de respuesta que se obtuvo en la vulnerabilidad TCP Timestamp, mediante el puerto que se usa por defecto en el dispositivo IoT.=

En la figura 9, se muestra la evidencia que se tiene en cuanto a los paquetes = que fueron disparados para verificar el Timestamp.

Figura = 9

Verificación de paquetes enviados

Nota: <= /span>basado en la herramienta de Wires= hark

Fase 4: Informe de resultados

Se presenta un resumen detallado una vez concluido el desarrollo de la metodología; los resultados que se presentaran surgen del análisis realizad= o en la cámara web TP-Link Kasa Spot, bajo el desarrollo de un laboratorio en un ambiente controlado.

En la tabla 7, se muestra la descripción detallada de las vulnerabilidades más influyentes.

Tabla <= /span>7

Descripción de vulnerabilidades

Vulnerabilidad=

Descripción

Gravedad=

Expuesto ataque

Consecuencias<= /o:p>

TCP Timestamps

permite intercambiar entre ambos extremos los valores

del reloj del sistema

Media

Baja exposición, ya que el atacante deberá adivinar un timestamp válido.

Si se llega insertar el segmento con un tiempo

valido, los futuros segmentos se congelarán.

ICMP Timestamp Reply Information Disclosure

Se puede determinar la hora exacta establecida en el host remoto.

Responde solicitud de marca de tiempo ICMP.

Media

Se puede obtener el tiempo de paquetes que se envía, para posterior realizar un ataque.

Esto permite al atacante sepa la fecha de configuración y esto ayude a vencer los protocolos de autenticación 

En la figura 10, se muestran estadísticas en base a la afección e impacto de las amenazas y vulnerabilidades.  

Figura 10

Afección triada CID e Impacto Pot= encial

 

 

 

 

 

 

 

 

 

 

 

La figura 10, se representa el nivel de afección a la triada CID presente en b= ase al análisis de la cámara web y aplicación móvil, así mismo el impacto poten= cial que se presentaría en estas amenazas.

Resultados

Plan de mitigación de riesgos

Se basa en las vulnerabilidades y amenazas encontradas en la cámara web. =

La tabla 8, se describe a detalle las medidas de mitigación.=

 <= /o:p>

 <= /o:p>

Tabla <= /span>8

Plan de mitigación de riesgos<= span style=3D'mso-bookmark:_Hlk81985521'>

Amenaza/

Vulnerabilidades

Probabilidad que ocurra 

Impacto potencial

Medidas de mitigación sugeridas

TCP Timestamps

Baja

Prescindible

Aleatorizar los timestamp, con el objetivo de mitigar los vectores anteriormente descritos.

ICMP Timestamp Reply Information Disclosure

Baja

Prescindible 

Filtrar solicitudes de marca de tiempo.  

Los datos de la aplicación se pueden respaldar

Medio

Grave

Se recomienda establecer el valor de "android:allowBackup"= ; en "false" en el archivo de manifiesto de la aplicación, a menos q= ue exista una necesidad específica de respaldar y restaurar los datos de la aplicac= ión. Esto ayuda a proteger la privacidad y seguridad de los datos de la aplica= ción en caso de acceso no autorizado al dispositivo.<= /p>

Acceso no autorizado  =

Medio

Importante

Configuración de contraseñas fuertes

Desactivar cámaras que no se usen.

Registros de acceso, para posibles accesos no autorizados por terce= ros . 

Malware

Alto

Grave

Descarga de software solo en sitios confiables.

Limitación de permisos en la cámara. 

Interceptación de datos (MiTM)

Bajo

Importante

Utilizar conexiones seguras

Encriptación de información para la transmisión de datos.

Configurar la red para puertos abiertos. <= /p>

Configuración no adecuada  =

Alta

Prescindible

Configurar el factor de doble autenticación.

Restricciones de conexión de redes externas.

Espionaje corporativo

Alta

Prescindible

Creación de políticas de privacidad de los empleados, en el área que sea necesario.

Protección de redes de la empresa.

Segregación de redes. 

Ataques de fuerza bruta

Bajo (factor doble autenticación)

Importante

Configuración de contraseñas seguras.

Limitación del número de intentos de ingreso.

Utilizar el software de autenticación de dos factores.

 <= /o:p>

Tabla 8

Plan de mitigación de riesgos (continuación)

Amena= za/

Vulne= rabilidades

Proba= bilidad que ocurra 

Impac= to potencial

Medid= as de mitigación sugeridas

Ataqu= e de denegación de servicios

Medio

Importante

Configuración del firewall para no permitir acceso de malintenciona= dos.

Monitoreo del tráfico de red (Wireshark).<= /p>

Vulnerabilidades físicas

Medio

Importante

Protección de cubierta física.

Configuración de sensores de movimiento, para el ingreso no autoriz= ado.

Compartir datos con terceros

Alta

Importante

Selección cuidadosa de personas que tendrán ac= ceso a la cámara web.

Conclusiones

·      =    El análisis realizado de vulnerabilidades y amenazas proporcionó un mayor entendimiento de los riesgos a los que los usuarios se enfrentan al utilizar este tipo de tecnología. En el desarrollo de la metodología OWASP, los resultados obtenidos desempeñaron un papel fundamental en la creación del p= lan de mitigación.

·      =    La versatilidad de la metodología OWASP permite llevar a cabo tanto análisis automatizados como manuales, lo que se traduce en un mejor control de calid= ad de los resultados obtenidos. El análisis y la creación de un plan de mitiga= ción de riesgos para estos dispositivos contribuyen a mejorar la seguridad no so= lo de este módulo en particular, sino también del uso más amplio de los mismos. Estas acciones buscan brindar medidas de protección a los usuarios contra posibles ataques y reducir su exposición a vulnerabilidades.

<= ![if !supportLists]>·      =    Gracias al análisis con herramientas automatizadas, se facilita la comprensión de l= os resultados, lo que conduce a un desarrollo efectivo del plan de mitigación = de riesgos frente a las vulnerabilidades y amenazas identificadas. El plan de mitigación contempla varios escenarios en los cuales un ciberdelincuente po= dría atacar este dispositivo IoT. Sin embargo, gran parte de estos escenarios ya= han sido mitigados gracias a la configuración proporcionada por el fabricante. = Los puntos débiles se encuentran en la configuración del usuario, lo cual refue= rza la importancia de proteger la privacidad de los datos en un mundo cada vez = más interconectado, y contribuye a fortalecer la confianza de los beneficiarios= de estos dispositivos.

 =

Conflicto de intereses

No existe conflicto de intereses entre los autores

Referencias Bi= bliográficas

Abdullah, R. M., Abualkishik, A. Z., Isaacc, N. M., Alwan, A. A., & Gulzar, Y. (2022). An investigation study for risk calculation of security vulnerabilities on android applications. Indonesian Journal of Electrical Engineering and Computer Science, 25(3), 1736–1748. https://doi.org/10.11591/ijeecs.v25.i3.pp1736-1748=

Álvarez Pezo, A. M. (2023). Diseño de una propuesta de Ciberseguridad para la de= tección de fuga de información a través de dispositivos IoT en el área de TI de una empresa embotelladora y distribuidora de bebidas en Arequipa- 2021.

Arnau Muñoz, L. (2023). Sistema de detección de anomalías para infraestructuras IoT. 35–39. https://rua.ua.es/dspace/handle/10045/135258

Bellasmil, A. I., & Zúñiga, J. L. (2018). Diseño e implementación de un timbre inteligente basado en el Internet de las Cosas (IoT) para fortalecer la seguridad contra robos en viviendas sociales. 101. http://www.academia.edu/9523397/COLUMNAS_UNIVERSIDAD_NACIONAL_PEDRO_RUIZ_GA= LLO_COLUMNAS

Bozzini, D., &= amp; Bozzini, P. D. (2023). How Vulnerabilities Became Commodities. The Polit= ical Economy of Ethical Hacking (1990-2020). To cite this version: HAL Id: hal-04068476 How Vulnerabilities Became Commodities the Political Economy of Ethical Hacking (1990 – 2020).

Castro García, Á. de. (2023). Herramienta para el despliegue de laboratorios virtuales mediante Docker.

Cerasela Pana, A. (2021). La seguridad cibernética y los derechos humanos. Los límit= es de la restricción de derechos humanos para la protección del espacio cibernético. La Seguridad Cibernética y Los Derechos Humanos. Los Límite= s de La Restricción de Derechos Humanos Para La Protección Del Espacio Cibernéti= co. https://doi.org/10.5682/9786062813604

Chiluiza, L., & Enciso, L. (2023). Detección y solución de vulnerabilidades con G= reenbone Security Assistant. Revista Ibérica de Sistemas e Tecnologías de Informa= ção, E57, 560–570.

Cruz Vega Mario, Oliete Vivas Pablo, Morales Ríos Christian, & González Carl= os. (2015). Las tecnologías IoT dentro de la industria conectada 4.0. Fundación EOI. https://www.eoi.es/es/savia/publicaciones/21125/las-tecnologias-iot-dentro-= de-la-industria-conectada-40

Díaz, R. M. (2022). Ciberseguridad en cadenas de suministros inteligentes en Amér= ica Latina y el Caribe. Cepal. https://repositorio.cepal.org/bitstream/handle/11362/48065/1/S2200203_es.pd= f

Li, Y., & Mogos, G. (2023). Digital forensics on Tencent QQ-instant messaging service in China. Indonesian Journal of Electrical Engineering and Compu= ter Science, 29(1), 412–420. https://doi.org/10.11591/ijeecs.v29.i1.pp412-420

Lluís, L. A., & Robles, A. (2022). Estudio de los ataques y su defensa en la ingeniería social. Pág. 1-132. http://e-spacio.uned.es/fez/eserv/bibliuned:master-ETSInformatica-II-Lagil/= Gil_Lluis_Luis_TFM.pdf

Lyon, G. F. (2008). Nmap network scanning: official Nmap project guide to network discovery and security scanning. Insecure. https://nmap.org/book/

Millán-Rojas, E. E., Gallego-Torres, A. P., & Chico-Vargas, D. C. (2016). Simulación = de una red Grid con máquinas virtuales para crear un entorno de aprendizaje de= la computación de alto desempeño. Revista Facultad de Ingeniería, 25= (41), 85–92. https://doi.org/10.19053/01211129.4140

Ortiz Padilla, G. A., Flores Urgilés, C. H., Padilla Cruz, I. N., & Carrillo Zenteno, J. A. (2022). Análisis de técnicas para pruebas de Ethical Hacking-Pentesting en sitios web. Pro Sciences: Revista de Producción, Ciencias e Investigación, 6(42), 421–444. https://doi.org/10.29018/issn.2588-1000vol6iss42.2022pp421-444

Tp-link. (2023= ). Comparison of Wireless Technologies (Bluetooth, WiFi, BLE, Zigbee, Z-Wave, 6LoWPAN, NF= C, WiFi… - Hackster.io. https://www.hackster.io/news/comparison-of-wireless-technologies-bluetooth-= wifi-ble-zigbee-z-wave-6lowpan-nfc-wifi-eece5593d80f

<= /i>

 

 

 

 

=  

=  

=  

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Conciencia Digital.

 


=  

=  

=  

El artículo queda en propiedad de la revista y, por tanto, su publicación parc= ial y/o total en otro medio tiene que ser autorizado por el director de la Revista Conciencia Digital.<= /o:p>

 

=

 

 

 

 


 

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ISSN: 2600-5859

Vol. 6 No. 4.2, pp. 141 – 160, noviembre 2023

www= .concienciadigital.org

 

 

 

 

 

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                                      Ciencia Tecnológica  =           Página = 141 | 160

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