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Anti-Fraud settings

Anti-Fraud settings

Updated over 5 months ago

At a glance : Trackier has an integrated anti-fraud capability that can be utilized to counter fraudulent and illicit activities on its platform, thereby preserving your funds and bolstering the general welfare of your venture.

Trackier has an in-built feature to optimize your business activities and maintain healthy
installs and events on the platform by preventing fraudulent and unethical practices.

Where to find this?

  • You will find this option as part of the manage section. Inside rules, user will find the option for global and custom rules.

  • Global rule will be applied to all the incoming traffic be it from partner, organic or deep links in case enabled

  • Custom rules - To create exceptions for the fraud settings (Bypass or scan for other conditions).

Flow for the Process

  • Global rule - This rule be implemented to all the traffic. Whatever the user will enable or disable as part of the predefined anti fraud settings will be applied to all the incoming traffic

  • Custom Rule - In case the user want to create exceptions as part of the global rule they can create custom rules and add conditions as per the requirement
    a) Click on the "+ Add custom rule" button


    b) Rule Name - Give your custom rule an appropriate name
    c) Apply On - To whom the rule will be applied it. It could partners, deeplinks or both of them
    d) Application
    e) Engagement metrics to apply - Metric on which this will be applied - It could be either install, in app , specific in app events or both
    i) Mark as rejected on custom setting - Choose to block the traffic based on the conditions that will be defined as part of this section
    ii) Mark as rejected on predefined setting - Analyze and block or bypass the pre-defined fraud settings on the traffic
    iii) Bypass - The traffic will bypass the fraud shield based on the conditions that the user have mentioned
    f) Custom Condition - Choose the custom conditions on which you want to mark the traffic as fraud or want to bypass the fraud. We currently have ITET(Install to event time), CTIT(Click to install time), Campaign, Campaign ID, Ad, Ad Id, Ad set, Ad set ID, Site ID, Geo, Os version, app version, SDK version, SDK Param {1-10}
    g) In case the user selected "Mark as rejected on predefined setting", they can click on next button and move to pre defined anti fraud settings. Further, enable or disable the settings and click on finish. If chosen "Mark as rejected on custom setting" or "Bypass" then post adding conditions user can simply to go next step and click on "Finish"

Manage Rules

  • The user can change the status of the rule and can choose to either enable or disable based on the use cases

  • One can edit or delete the rule if needed from the options inside the actions



Elaboration on each attribute

Attribute

Description

SDK Spoofing

  • CTIT too low - When difference click and install time (CTIT) is less than 5 seconds. For instance if you have clicked at 12:04:05 and installed at 12:04:09 which is ultimately less than 5 seconds we will automatically mark that fraud.

  • Secret ID invalid - When the secret ID generated by you over the system/platform and is being passed over SDK received in the request is invalid it will be marked as fraud under SDK spoofing

  • Secret ID mismatch - When secret ID is not found in our database. which means someone is sending random or incorrect values.

  • Minimum App Version Mismatch - When the advertiser has enabled SDK signing and the request is coming from old version of SDK then the minimum specified in the signing key.

    In case either of any above is true it is considered as SDK spoofing

Untrusted Device

  • It blocks installs and events origination from any device with untrusted build.

Blacklist IP

It is possible that analysis can be empty in case the IP is blacklisted in our database. but if not the analysis could show below -

  • proxy_dch or other's starting with "proxy_":

Duplicate IP

  • When install happened time and again from the same IP for the same application we detect it as duplicate IP and mark it fraud under this.

Emulator

  • When the application is install in emulator.

Fake Device

  • Traffic coming from fraudulent devices

Signature Mismatch

  • When the signature provided in the request and the signature verified in the backend service differs.

Validation Rule Block

  • This check enforces install and event blocking via validation rules set up for this application.

Note: You can also apply this fraud setting on organic events such as ( Installs / InApp Event / Uninstall / Session ) by scrolling to the settings option.

anti fraud

Override fraudulent event settings

If you want your in-app events not to be marked as fraud with anti fraud settings, you can select the event name from the drop down box, post which you can select if same applies to all the media sources/partners or you can select the specified partner or media source from the provided option. You can add multiple events for this option to override the fraudulent events.



We are delighted to have assembled a world-class team of experienced professionals who are ready to take care of your queries and answer any questions you may have. Feel free to reach out to us at anytime through emailing us at support@apptrove.com or by using the in-platform chat feature. We'd love to hear from you!



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