Page 102 | SOC Prime

Entretien avec le développeur : Thomas Patzke

Posted on 09.10.201925.06.2025 by Alla Yurchenko

Nous continuons à interviewer les développeurs de notre Programme de Prime de Menaces (https://my.socprime.com/en/tdm-developers) pour encourager les professionnels de la cybersécurité à développer plus de règles Sigma, partager leur contenu de détection de menaces et renforcer la communauté. L’interview précédente est ici https://socprime.com/blog/interview-with-developer-florian-roth/ Rencontrez Thomas Patzke Thomas est l’un des experts les plus inspirants de […]

SOC Prime Threat Detection Marketplace – Prêt à Explorer

Posted on 03.10.201925.06.2025 by Alla Yurchenko

SOC Prime Threat Detection Marketplace (SOC Prime TDM) est une bibliothèque communautaire de contenus pertinents et exploitables pour la détection des menaces qui unit les auteurs de contenus en cybersécurité pour défendre le cyberespace et fournir le meilleur contenu à la communauté depuis plus de cinq ans déjà. SOC Prime TDM fournit des Packs de […]

Entretien avec un développeur : Florian Roth

Posted on 27.09.201925.06.2025 by Alla Yurchenko

Nous continuons d’écrire une série d’entretiens avec les participants du Programme Développeur (https://my.socprime.com/en/tdm-developers). L’interview précédente est ici : https://socprime.com/blog/interview-with-developer-lee-archinal/ Rencontrez Florian Roth. Florian Roth est CTO de Nextron Systems GmbH. Il est le créateur de l’APT Scanner THOR – Scanner pour l’activité des attaquants et des outils de piratage et le développeur du service d’alimentation […]

Conformité Continue en Tant que Code P1 : Sigma

Posted on 07.08.201925.06.2025 by Andrii Bezverkhyi

La conformité a toujours été une sorte de processus réactif puisque les normes sont longues, nécessitent des tonnes d’efforts et mettent du temps à être mises à jour, encore plus de temps à être mises en œuvre et le processus d’audit se déroule une fois par an. Venant du monde du SIEM, je traitais la […]

Entretien avec le Développeur : Lee Archinal

Posted on 17.07.201925.06.2025 by Alla Yurchenko

Nous commençons une série d’interviews avec des participants du Developer Program (https://my.socprime.com/en/tdm-developers) pour vous présenter ces personnes formidables qui recherchent sur le web des menaces pertinentes et créent un contenu unique pour leur détection. Rencontrez Lee Archinal ! Bonjour Lee, j’espère que vous êtes suffisamment inspiré aujourd’hui pour écrire un peu à propos de vous […]

Se Préparer. Utiliser ATT&CK pour Avancer Personnellement

Posted on 11.07.201918.07.2025 by Adam Swan

Introduction De nombreuses équipes bleues utilisent MITRE ATT&CK pour développer la maturité de leur détection et réponse. L’arsenal des équipes bleues comprenant les outils EDR, les journaux d’événements et les outils de triage révèlent ce qui se passe sur les points d’extrémité. Cependant, les anomalies sont normales et ces alertes et sources de données doivent […]

Défis quotidiens du directeur financier dans une entreprise de cybersécurité

Posted on 14.06.201925.06.2025 by Daryna Olyniychuk

Je travaille dans l’entreprise depuis sa fondation en 2015, et durant cette période, SOC Prime est passée d’une petite startup à une entreprise internationale en plein essor. Nos employés évoluent également professionnellement pour suivre le rythme du développement. Pour chacun d’entre nous, travailler chez SOC Prime a apporté des défis et des expériences inattendues. Sécurité […]

Contenu de détection proactive : CVE-2019-0708 vs ATT&CK, Sigma, Elastic et ArcSight

Posted on 20.05.201910.08.2025 by Andrii Bezverkhyi

Je pense que la majeure partie de la communauté de la sécurité a convenu que la vulnérabilité CVE-2019-0708 est d’une priorité critique à traiter. Et bien que dire « corrigez vos affaires ! » semble être la première chose à laquelle il faut penser, les souvenirs de WannaCry et NotPetya sont encore frais dans mon […]

Guide des règles Sigma pour ArcSight

Posted on 16.10.201825.06.2025 by Jordan Camba

Introduction à Sigma Sigma, créé par Florian Roth et Thomas Patzke, est un projet open source visant à créer un format de signature générique pour les systèmes SIEM. L’analogie courante est que Sigma est l’équivalent des journaux de ce que Snort est pour IDS et YARA pour la détection de logiciels malveillants basés sur des […]

La Théorie et la Réalité du ROI des SIEM

Posted on 16.08.201818.07.2025 by Andrii Bezverkhyi

Beaucoup de choses sont écrites sur le SIEM, mais mon expérience personnelle avec ces merveilleux outils a commencé en 2007. Aujourd’hui, la technologie elle-même a plus de 18 ans et le SIEM est à tous égards un marché mature. Avec des clients, une équipe et des partenaires, j’ai eu le privilège de participer activement à […]

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.