We and our 914 partners process your personal data, e.g. your IP-number, using technology such as cookies to store and access information on your device in order to serve personalized ads and content, ad and content measurement, audience research and services development. You have a choice in who uses your data and for what purposes. You can change or withdraw your consent any time from the Cookie Declaration or by clicking on the Privacy trigger icon.
If you allow, we would also like to:
Collect information about your geographical location which can be accurate to within several meters
Identify your device by actively scanning it for specific characteristics (fingerprinting)
Find out more about how your personal data is processed and set your preferences in the details section.
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Name
Provider
Purpose
Maximum Storage Duration
Type
__Host-next-auth.csrf-token
app.maltego.com
Ensures visitor browsing-security by preventing cross-site request forgery. This cookie is essential for the security of the website and visitor.
Session
HTTP Cookie
__Secure-next-auth.callback-url
app.maltego.com
Used in order to detect spam and improve the website's security.
This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.
1 day
HTTP Cookie
__cflb
auth.maltego.com
Registers which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience.
This cookie is a part of the services provided by Cloudflare - Including load-balancing, deliverance of website content and serving DNS connection for website operators.
This cookie is used to detect errors on the website - this information is sent to the website's support staff in order to optimize the visitor's experience on the website.
This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.
This cookie is necessary for making credit card transactions on the website. The service is provided by Stripe.com which allows online transactions without storing any credit card information.
This cookie is necessary for making credit card transactions on the website. The service is provided by Stripe.com which allows online transactions without storing any credit card information.
This cookie is necessary for making credit card transactions on the website. The service is provided by Stripe.com which allows online transactions without storing any credit card information.
This cookie is necessary for making credit card transactions on the website. The service is provided by Stripe.com which allows online transactions without storing any credit card information.
Detects whether the visitor’s browser allows for blob-format-storage.
Persistent
IndexedDB
Preference cookies enable a website to remember information that changes the way the website behaves or looks, like your preferred language or the region that you are in.
The cookie is used if the visitor has filled in personal information on a formula. This information will be filled in automatically on other formulas. This process is used to optimize visitor experience.
This cookie is used to count how many times a website has been visited by different visitors - this is done by assigning the visitor an ID, so the visitor does not get registered twice.
Used in connection with End User Experience Monitoring (EUEM). The cookie collects information on application/device performance, which allows support/website staff to optimize their products and services.
This cookie contains an ID string on the current session. This contains non-personal information on what subpages the visitor enters – this information is used to optimize the visitor's experience.
Collects statistics on the visitor's visits to the website, such as the number of visits, average time spent on the website and what pages have been read.
Collects statistics on the visitor's visits to the website, such as the number of visits, average time spent on the website and what pages have been read.
Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.
Session
HTTP Cookie
_vwo_uuid_v2
maltego.com
This cookie is set to make split-tests on the website, which optimizes the website's relevance towards the visitor – the cookie can also be set to improve the visitor's experience on a website.
1 year
HTTP Cookie
cb%3Atest
x.clearbitjs.com
Collects data on 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 generating reports for optimising the website content.
This cookie is used as a referral-cookie that stores the visitor’s profile – the cookie is overwritten when the visitor re-enters the website and new information on the visitor is collected and stored.
This cookie contains an ID string on the current session. This contains non-personal information on what subpages the visitor enters – this information is used to optimize the visitor's experience.
This cookie is used to identify the frequency of visits and how long the visitor is on the website. The cookie is also used to determine how many and which subpages the visitor visits on a website – this information can be used by the website to optimize the domain and its subpages.
This cookie is set to make split-tests on the website, which optimizes the website's relevance towards the visitor – the cookie can also be set to improve the visitor's experience on a website.
Registers data on visitors' website-behaviour. This is used for internal analysis and website optimization.
1 day
HTTP Cookie
Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and engaging for the individual user and thereby more valuable for publishers and third party advertisers.
Registers data on visitors from multiple visits and on multiple websites. This information is used to measure the efficiency of advertisement on websites.
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.
Session
HTTP Cookie
conv_rand
app.tango.us
This cookie is used by the website’s operator in context with multi-variate testing. This is a tool used to combine or change content on the website. This allows the website to find the best variation/edition of the site.
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.
Collects data on visitors' preferences and behaviour on the website - This information is used make content and advertisement more relevant to the specific visitor.
This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.
Tracks if the user has shown interest in specific products or events across multiple websites and detects how the user navigates between sites. This is used for measurement of advertisement efforts and facilitates payment of referral-fees between websites.
Collects data on visitor behaviour from multiple websites, in order to present more relevant advertisement - This also allows the website to limit the number of times that they are shown the same advertisement.
Used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.
1 year
HTTP Cookie
cb_anonymous_id
x.clearbitjs.com
Collects data on visitor behaviour from multiple websites, in order to present more relevant advertisement - This also allows the website to limit the number of times that they are shown the same advertisement.
1 year
HTTP Cookie
cb_group_id
x.clearbitjs.com
Collects data on visitors. This information is used to assign visitors into segments, making website advertisement more efficient.
1 year
HTTP Cookie
cb_user_id
x.clearbitjs.com
Collects data on visitor behaviour from multiple websites, in order to present more relevant advertisement - This also allows the website to limit the number of times that they are shown the same advertisement.
1 year
HTTP Cookie
user_referrer
cdn.jsdelivr.net
Registers how the user has reached the website to enable pay-out of referral commission fees to partners.
1 day
HTTP Cookie
utm_term
cdn.jsdelivr.net
Determines how the user accessed the website. This information is used by the website operator in order to measure the efficiency of their marketing.
Sets a specific device ID. This ID is used by Microsoft to track users' website behaviour and the interaction with Microsoft application on the specific device.
Session
HTTP Cookie
pardot
sflink.maltego.com
Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2B marketing purposes.
This cookie is used by the website’s operator in context with multi-variate testing. This is a tool used to combine or change content on the website. This allows the website to find the best variation/edition of the site.
Collects data related to the user's visits to the website, such as the number of visits, average time spent on the website and which pages have been loaded, with the purpose of personalising and improving the Twitter service.
Collects information on user behaviour on multiple websites. This information is used in order to optimize the relevance of advertisement on the website.
Collects information on user behaviour on multiple websites. This information is used in order to optimize the relevance of advertisement on the website.
This cookie is used to collect data on the visitor's behavior on the website - this information can be used to assign the visitor to a visitor segment, based on common preferences.
Used to detect referrals in relation to website's embedded video-player.
Session
HTTP Cookie
cb_group_properties
x.clearbitjs.com
Collects data on visitor behaviour from multiple websites, in order to present more relevant advertisement - This also allows the website to limit the number of times that they are shown the same advertisement.
Persistent
HTML Local Storage
cb_user_traits
x.clearbitjs.com
Collects data on visitor behaviour from multiple websites, in order to present more relevant advertisement - This also allows the website to limit the number of times that they are shown the same advertisement.
We and our 914 advertising partners process your personal data using technology such as cookies in order to serve advertising, analyse our traffic and deliver customised experiences for you. You have a choice in who uses your data and for what purposes.
Some partners do not ask for your consent to process your data, instead, they rely on their legitimate business interest. View our list of partners to see the purposes they believe they have legitimate interest for and how you can object to it.
The Consent Signal (TC String) is stored in the Local Storage with a maximum retention period of 13 months, after which a renewed consent decision is required. Find out more about how your personal data is processed and set your preferences below.
You can set your consent preferences and determine how you want your data to be used based on the purposes below. Each purpose has a description so that you know how we and our partners use your data.
Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here.
Examples:
Most purposes explained in this notice rely on the storage or accessing of information from your device when you use an app or visit a website. For example, a vendor or publisher might need to store a cookie on your device during your first visit on a website, to be able to recognise your device during your next visits (by accessing this cookie each time).
Vendors 707
Advertising presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type or which content you are (or have been) interacting with (for example, to limit the number of times an ad is presented to you).
Examples:
A car manufacturer wants to promote its electric vehicles to environmentally conscious users living in the city after office hours. The advertising is presented on a page with related content (such as an article on climate change actions) after 6:30 p.m. to users whose non-precise location suggests that they are in an urban zone.
A large producer of watercolour paints wants to carry out an online advertising campaign for its latest watercolour range, diversifying its audience to reach as many amateur and professional artists as possible and avoiding showing the ad next to mismatched content (for instance, articles about how to paint your house). The number of times that the ad has been presented to you is detected and limited, to avoid presenting it too often.
Vendors 652
Information about your activity on this service (such as forms you submit, content you look at) can be stored and combined with other information about you (for example, information from your previous activity on this service and other websites or apps) or similar users. This is then used to build or improve a profile about you (that might include possible interests and personal aspects). Your profile can be used (also later) to present advertising that appears more relevant based on your possible interests by this and other entities.
Examples:
If you read several articles about the best bike accessories to buy, this information could be used to create a profile about your interest in bike accessories. Such a profile may be used or improved later on, on the same or a different website or app to present you with advertising for a particular bike accessory brand. If you also look at a configurator for a vehicle on a luxury car manufacturer website, this information could be combined with your interest in bikes to refine your profile and make an assumption that you are interested in luxury cycling gear.
An apparel company wishes to promote its new line of high-end baby clothes. It gets in touch with an agency that has a network of clients with high income customers (such as high-end supermarkets) and asks the agency to create profiles of young parents or couples who can be assumed to be wealthy and to have a new child, so that these can later be used to present advertising within partner apps based on those profiles.
Vendors 524
Advertising presented to you on this service can be based on your advertising profiles, which can reflect your activity on this service or other websites or apps (like the forms you submit, content you look at), possible interests and personal aspects.
Examples:
An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
A profile created for personalised advertising in relation to a person having searched for bike accessories on a website can be used to present the relevant advertisement for bike accessories on a mobile app of another organisation.
Vendors 521
Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
Examples:
You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Vendors 233
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
Examples:
You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Vendors 205
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
Examples:
You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Vendors 758
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
Examples:
You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Vendors 374
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
Examples:
The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Vendors 475
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
Examples:
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Vendors 564
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
Examples:
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
Vendors 141
Special Purposes
Your data can be used to monitor for and prevent unusual and possibly fraudulent activity (for example, regarding advertising, ad clicks by bots), and ensure systems and processes work properly and securely. It can also be used to correct any problems you, the publisher or the advertiser may encounter in the delivery of content and ads and in your interaction with them.
Examples:
An advertising intermediary delivers ads from various advertisers to its network of partnering websites. It notices a large increase in clicks on ads relating to one advertiser, and uses data regarding the source of the clicks to determine that 80% of the clicks come from bots rather than humans.
Certain information (like an IP address or device capabilities) is used to ensure the technical compatibility of the content or advertising, and to facilitate the transmission of the content or ad to your device.
Examples:
Clicking on a link in an article might normally send you to another page or part of the article. To achieve this, 1°) your browser sends a request to a server linked to the website, 2°) the server answers back (“here is the article you asked for”), using technical information automatically included in the request sent by your device, to properly display the information / images that are part of the article you asked for. Technically, such exchange of information is necessary to deliver the content that appears on your screen.
The choices you make regarding the purposes and entities listed in this notice are saved and made available to those entities in the form of digital signals (such as a string of characters). This is necessary in order to enable both this service and those entities to respect such choices.
Examples:
When you visit a website and are offered a choice between consenting to the use of profiles for personalised advertising or not consenting, the choice you make is saved and made available to advertising providers, so that advertising presented to you respects that choice.
Features
Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
In support of the purposes explained in this notice, your device might be considered as likely linked to other devices that belong to you or your household (for instance because you are logged in to the same service on both your phone and your computer, or because you may use the same Internet connection on both devices).
Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
With your acceptance, your precise location (within a radius of less than 500 metres) may be used in support of the purposes explained in this notice.
With your acceptance, certain characteristics specific to your device might be requested and used to distinguish it from other devices (such as the installed fonts or plugins, the resolution of your screen) in support of the purposes explained in this notice.
See the partners we work with below. Expand each one to see how they process your data. You can object to legitimate interest processing per vendor.
Cookies are small text files that can be used by websites to make a user's experience more efficient.
The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies we need your permission.
This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.
You can at any time change or withdraw your consent from the Cookie Declaration on our website.
Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.
Your consent applies to the following domains: login.maltego.com, store.maltego.com, app.maltego.com, spark.maltego.com, osint-profiler.maltego.com, get.maltego.com, portal.maltego.com, community.maltego.com, docs.maltego.com, buy.maltego.com, maltego.com
Cookie declaration last updated on 2/2/25 by Cookiebot
CaseFile is Maltego's answer to the offline intelligence problem, it allows for analysts to examine links between offline data.
Following the release of Maltego Graph version 4.8.0, CaseFile will no longer be available as a separate product, however, CaseFile users can continue to benefit from the offline data analysis features under a Community Edition license.
CaseFile will remain available to users running Maltego version 4.7.0 and earlier. These users may continue to use the CaseFile tool to visualize connections in their offline data.
CaseFile users who have updated to version 4.8.0 can create a Maltego ID account and log in for free as Community Edition users, gaining access to Maltego Graph which includes previously available Casefile features for offline data analysis. Make sure to install the "CaseFile Entities" Hub item from the Maltego Data Hub."
CaseFile was born as a result of many Maltego users using the tool to build graphs with offline data collected from their investigations. Casefile does not support the use of Transforms, however, Casefile users benefit from the flexibility and performance based simply on Maltego’s graphing capability.
CaseFile is a visual intelligence application that can be used to determine the relationships and real world links between hundreds of different types of information.
CaseFile can be used to plot relationships between pieces of information - making it possible to see hidden connections even if they are multiple degrees of separation apart.
CaseFile comes bundled with many different types of Entities that are commonly used in investigations allowing you to act quickly and efficiently. CaseFile also has the ability to add custom Entity types allowing you to extend the product to your own data sets.
What can CaseFile do for me?
CaseFile can be used for the information gathering, analytics and intelligence phases of almost all types of investigates, from IT Security, Law enforcement and any data driven work. It will save you time and will allow you to work more accurately
CaseFile has the ability to visualise datasets stored in CSV, XLS and XLSX formats as well as export graphs to these formats.
CaseFile aids you in your thinking process by visually demonstrating interconnected links between your information.
