SOC Prime Entrevista | Página 3 de 4

Entrevista con el Desarrollador: Sittikorn Sangrattanapitak

diciembre 07, 2020

Hoy queremos presentar a nuestros lectores a uno de los nuevos autores de contenido de detección en Threat Detection Marketplace. Conozcan a Sittikorn Sangrattanapitak, miembro activo del programa de recompensas para amenazas de SOC Prime. Lee sobre el Programa de Recompensas para Amenazas – https://my.socprime.com/tdm-developersMás entrevistas con desarrolladores del Programa de Recompensas para Amenazas – […]

Entrevista con el Desarrollador: Roman Ranskyi

septiembre 22, 2020

Hoy queremos presentar a nuestros lectores a uno de los autores de contenido de detección cuyo nombre pueden ver en los Leaderboards del SOC Prime Threat Detection Marketplace. Conozcan a Roman Ranskyi, ingeniero desarrollador de contenido/caza de amenazas en SOC Prime. Lea sobre el Programa de Recompensas por Amenazas – https://my.socprime.com/tdm-developers Más entrevistas con […]

Entrevista con el Desarrollador: Sreeman Shanker

mayo 26, 2020

Conoce a Sreeman, uno de los participantes más activos de SOC Prime Programa de Recompensas de Amenazas. Sreeman ha estado participando en el Programa de Recompensas de Amenazas desde diciembre de 2019. Antes de comenzar a publicar su propio contenido desarrollado en el Mercado de Detección de Amenazas, Sreeman había contribuido con una gran cantidad […]

Entrevista con el Desarrollador: Emir Erdogan

mayo 19, 2020

Estamos siguiendo con las entrevistas a los miembros del Programa de Recompensas por Amenazas (https://my.socprime.com/en/tdm-developers), y hoy queremos presentarles a Emir Erdogan. Emir ha estado participando en el programa desde septiembre de 2019, tiene más de 110 reglas Sigma publicadas a su nombre, pero Emir también publica reglas YARA para detectar amenazas reales. Sus reglas […]

Entrevista con el Desarrollador: Den Iuzvyk

abril 27, 2020

SOC Prime está presentando otra entrevista con un participante del Programa de Desarrolladores de Threat Bounty de SOC Prime (https://my.socprime.com/en/tdm-developers). Queremos presentarles a Den Iuzvyk, quien publicó más de 60 reglas comunitarias de la más alta calidad y valor de detección durante seis meses de su participación en el Programa Threat Bounty.Lea más entrevistas con […]

Programa de Recompensas por Amenazas: ¡Hasta el Infinito… y Más Allá!

abril 03, 2020

+30% de bonificación en el Pago de Recompensas por Amenazas para marzo y Generación de Ingresos Constantes en Investigación de Amenazas en tiempos de teletrabajo y COVID-19 “Estamos presenciando la transformación de la industria de la ciberseguridad. El software ha avanzado desde procesos waterfall y kanban hasta procesos ágiles y CI/CD. La disciplina de la […]

Entrevista con el Desarrollador: Osman Demir

marzo 30, 2020

Presentamos a su atención una nueva entrevista con el participante en el Programa de Desarrolladores de SOC Prime (https://my.socprime.com/en/tdm-developers). Conozca a Osman Demir.Cuéntanos un poco sobre ti y tu experiencia en la caza de amenazas.Hola, soy Osman Demir. Vivo en Estambul, Turquía, y tengo 25 años. Terminé mi educación en Ingeniería Informática en 2017 y […]

Entrevista con el Desarrollador: Ariel Millahuel

enero 16, 2020

Realizamos otra entrevista con uno de los participantes del Programa de Desarrolladores de SOC Prime (https://my.socprime.com/en/tdm-developers). Queremos presentarles a Ariel Millahuel.Ariel, ¿podrías presentarte y contarnos sobre tu experiencia en Threat Hunting?Soy Ariel Millahuel de Buenos Aires, Argentina y tengo 30 años. Comencé en el mundo del Threat Hunting hace 2 años, cuando pasé de un […]

Entrevista con el Desarrollador: Adam Swan

diciembre 10, 2019

Continuamos nuestra serie de entrevistas con participantes del Programa de Desarrolladores (https://my.socprime.com/en/tdm-developers), cazadores de amenazas y entusiastas de la ciberseguridad para presentarles a estas maravillosas personas que buscan en la web amenazas relevantes y crean contenido único para su detección. Conozcan a Adam Swan, Ingeniero Senior de Caza de Amenazas de SOC Prime. Adam, cuéntanos […]

Entrevista con el Desarrollador: Nate Guagenti

octubre 15, 2019

Conoce a Nate GuagentiDurante más de una década, Nate ha implementado e ingenierizado SIEMs de red y endpoint que se han escalado a varios TB/día de ingesta, mientras simultáneamente usa y entrena a otros en la solución implementada. Como Nate ha trabajado en todas las facetas de IT, agrega la experiencia única de alguien que […]

Name	Descripiton
PHPSESSID	Preserves user session state across page requests. Cookie generated by applications based on the PHP language. This is a general purpose identifier used to maintain user session variables. It is normally a random generated number, how it is used can be specific to the site, but a good example is maintaining a logged-in status for a user between pages.
sp_i	Used to store information about authenticated User.
sp_r	Used to store information about authenticated User.
sp_a	Used to store information about authenticated User.

Name	Descripiton
tuuid	Collects anonymous data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded.
tuuid_last_update	Collects anonymous data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded.
um	Collects anonymous data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded.
umeh	Collects anonymous data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded.
na_sc_x	Used by the social sharing platform AddThis to keep a record of parts of the site that has been visited in order to recommend other parts of the site.
APID	Collects anonymous data related to the user's visits to the website.
IDSYNC	Collects anonymous data related to the user's visits to the website.
_cc_aud	Collects anonymous statistical data related to the user's website visits, such as the number of visits, average time spent on the website and what pages have been loaded. The purpose is to segment the website's users according to factors such as demographics and geographical location, in order to enable media and marketing agencies to structure and understand their target groups to enable customised online advertising.
_cc_cc	Collects anonymous statistical data related to the user's website visits, such as the number of visits, average time spent on the website and what pages have been loaded. The purpose is to segment the website's users according to factors such as demographics and geographical location, in order to enable media and marketing agencies to structure and understand their target groups to enable customised online advertising.
_cc_dc	Collects anonymous statistical data related to the user's website visits, such as the number of visits, average time spent on the website and what pages have been loaded. The purpose is to segment the website's users according to factors such as demographics and geographical location, in order to enable media and marketing agencies to structure and understand their target groups to enable customised online advertising.
_cc_id	Collects anonymous statistical data related to the user's website visits, such as the number of visits, average time spent on the website and what pages have been loaded. The purpose is to segment the website's users according to factors such as demographics and geographical location, in order to enable media and marketing agencies to structure and understand their target groups to enable customised online advertising.
dpm	Via a unique ID that is used for semantic content analysis, the user's navigation on the website is registered and linked to offline data from surveys and similar registrations to display targeted ads.
acs	Collects anonymous data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded, with the purpose of displaying targeted ads.
clid	Collects anonymous data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded, with the purpose of displaying targeted ads.
KRTBCOOKIE_#	Registers a unique ID that identifies the user's device during return visits across websites that use the same ad network. The ID is used to allow targeted ads.
PUBMDCID	Registers a unique ID that identifies the user's device during return visits across websites that use the same ad network. The ID is used to allow targeted ads.
PugT	Registers a unique ID that identifies the user's device during return visits across websites that use the same ad network. The ID is used to allow targeted ads.
ssi	Registers a unique ID that identifies a returning user's device. The ID is used for targeted ads.
_tmid	Registers a unique ID that identifies the user's device upon return visits. The ID is used to target ads in video clips.
wam-sync	Used by the advertising platform Weborama to determine the visitor's interests based on pages visits, content clicked and other actions on the website.
wui	Used by the advertising platform Weborama to determine the visitor's interests based on pages visits, content clicked and other actions on the website.
AFFICHE_W	Used by the advertising platform Weborama to determine the visitor's interests based on pages visits, content clicked and other actions on the website.
B	Collects anonymous data related to the user's website visits, such as the number of visits, average time spent on the website and what pages have been loaded. The registered data is used to categorise the users' interest and demographical profiles with the purpose of customising the website content depending on the visitor.
1P_JAR	These cookies are used to gather website statistics, and track conversion rates.
APISID	Google set a number of cookies on any page that includes a Google reCAPTCHA. While we have no control over the cookies set by Google, they appear to include a mixture of pieces of information to measure the number and behaviour of Google reCAPTCHA users.
HSID	Google set a number of cookies on any page that includes a Google reCAPTCHA. While we have no control over the cookies set by Google, they appear to include a mixture of pieces of information to measure the number and behaviour of Google reCAPTCHA users.
NID	Google set a number of cookies on any page that includes a Google reCAPTCHA. While we have no control over the cookies set by Google, they appear to include a mixture of pieces of information to measure the number and behaviour of Google reCAPTCHA users.
SAPISID	Google set a number of cookies on any page that includes a Google reCAPTCHA. While we have no control over the cookies set by Google, they appear to include a mixture of pieces of information to measure the number and behaviour of Google reCAPTCHA users.
SID	Google set a number of cookies on any page that includes a Google reCAPTCHA. While we have no control over the cookies set by Google, they appear to include a mixture of pieces of information to measure the number and behaviour of Google reCAPTCHA users.
SIDCC	Security cookie to protect users data from unauthorised access.
SSID	Google set a number of cookies on any page that includes a Google reCAPTCHA. While we have no control over the cookies set by Google, they appear to include a mixture of pieces of information to measure the number and behaviour of Google reCAPTCHA users.
__utmx	This cookie is associated with Google Website Optimizer, a tool designed to help site owners improve their wbesites. It is used to distinguish between two varaitions a webpage that might be shown to a visitor as part of an A/B split test. This helps site owners to detemine which version of a page performs better, and therefore helps to improve the website.
__utmxx	This cookie is associated with Google Website Optimizer, a tool designed to help site owners improve their wbesites. It is used to distinguish between two varaitions a webpage that might be shown to a visitor as part of an A/B split test. This helps site owners to detemine which version of a page performs better, and therefore helps to improve the website.

Name	Descripiton
_hjid	Hotjar cookie. This cookie is set when the customer first lands on a page with the Hotjar script. It is used to persist the random user ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.
_hjIncludedInSample	This cookie is associated with web analytics functionality and services from Hot Jar, a Malta based company. It uniquely identifies a visitor during a single browser session and indicates they are included in an audience sample.
intercom-id-[xxx]	This cookie is used by Intercom as a session so that users can continue a chat as they move through the site.
intercom-session-[xxx]	Used to keeping track of sessions and remember logins and conversations.
demdex	Via a unique ID that is used for semantic content analysis, the user's navigation on the website is registered and linked to offline data from surveys and similar registrations to display targeted ads.
CookieConsent	Stores the user's cookie consent state for the current domain.
__cfduid	Used by the content network, Cloudflare, to identify trusted web traffic.
ss	These cookies enable the website to provide enhanced functionality and personalisation . They may be set by us or by third party providers whose services we have added to our pages. These services may include the Live Chat facility, Contact Us form(s), the Product Quotation forms and submission process, and the Email Newsletter sign up functionality .

Name	Descripiton
_ga	This cookie name is asssociated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page. Registers a unique ID that is used to generate statistical data on how the visitor uses the website. request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.
_gat	Used by Google Analytics to throttle request rate. This cookie name is associated with Google Universal Analytics, according to documentation it is used to throttle the request rate - limiting the collection of data on high traffic sites. It expires after 10 minutes.
_gid	This cookie name is asssociated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited. Registers a unique ID that is used to generate statistical data on how the visitor uses the website.
IDE	Used by Google DoubleClick to register and report the website user's actions after viewing or clicking one of the advertiser's ads with the purpose of measuring the efficacy of an ad and to present targeted ads to the user.
r/collect	Used by Google DoubleClick to register and report the website user's actions after viewing or clicking one of the advertiser's ads with the purpose of measuring the efficacy of an ad and to present targeted ads to the user.
test_cookie	Used to check if the user's browser supports cookies.
collect	Used to send data to Google Analytics about the visitor's device and behaviour. Tracks the visitor across devices and marketing channels.
ads/user-lists/#	These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites.
c	Registers anonymised user data, such as IP address, geographical location, visited websites, and what ads the user has clicked, with the purpose of optimising ad display based on the user's movement on websites that use the same ad network.
khaos	Registers anonymised user data, such as IP address, geographical location, visited websites, and what ads the user has clicked, with the purpose of optimising ad display based on the user's movement on websites that use the same ad network.
put_#	Registers anonymised user data, such as IP address, geographical location, visited websites, and what ads the user has clicked, with the purpose of optimising ad display based on the user's movement on websites that use the same ad network.
rpb	Registers anonymised user data, such as IP address, geographical location, visited websites, and what ads the user has clicked, with the purpose of optimising ad display based on the user's movement on websites that use the same ad network.
rpx	Registers anonymised user data, such as IP address, geographical location, visited websites, and what ads the user has clicked, with the purpose of optimising ad display based on the user's movement on websites that use the same ad network.
tap.php	Registers anonymised user data, such as IP address, geographical location, visited websites, and what ads the user has clicked, with the purpose of optimising ad display based on the user's movement on websites that use the same ad network.

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