Systems and processes for detecting content blocking software
A process of detecting an implemented blacklist may include downloading data from at least one blacklist. The process may also include compiling a list of image elements from the at least one blacklist based on a feature of the image elements, and selecting an image element from the list of image elements. The process may further include receiving a report indicative of the selected image successfully loading while a webpage is loaded on a web browser of a client device, and analyzing the report based on an expected response of the web browser to detect the implemented blacklist of the at least on blacklist.
1. A computerized process of detecting an implemented blacklist, the process comprising:
downloading data from at least one blacklist by accessing a domain of the at least one blacklist;
storing the domain of the at least one blacklist in a database with an online status;
accessing a webpage from the domain of the at least one blacklist;
receiving a scan of the accessed webpage for image elements of the at least one blacklist;
compiling a list of the image elements from the at least one blacklist based on a feature of the image elements, wherein the feature is based on the image elements being observed on the webpage of an online domain;
selecting an image element from the list of the image elements;
receiving a report indicative of the selected image element successfully loading while a webpage is loaded on a web browser of a client device; and
analyzing the report based on an expected response of the web browser to detect the implemented blacklist of the at least one blacklist.
2. The computerized process of claim 1 , further comprising:
storing the scanned image elements in the database with a timestamp of the scan,
wherein the feature is further based on the timestamp being within a predetermined timeframe.
3. The computerized process of claim 2 , further comprising:
compiling frequency data based on the number of observations of the image elements during the predetermined timeframe,
wherein the feature is further based on the frequency data.
4. The computerized process of claim 1 , further comprising updating the online status of the domain based on the webpage not successfully loading.
5. The computerized process of claim 1 , wherein the at least one blacklist comprises a plurality of blacklists.
6. The computerized process of claim 1 , further comprising forwarding instructions to the client device to enable scanning of the web browser.
7. A system of detecting an implemented blacklist, comprising:
at least one processor;
at least one memory storing instructions that, when executed, cause the at least one processor to:
download data from at least one blacklist by accessing a domain of the at least one blacklist;
store the domain of the at least one blacklist in a database with an online status;
access a webpage from the domain of the at least one blacklist;
receive a scan of the accessed webpage for image elements of the at least one blacklist;
compile a list of the image elements from the at least one blacklist based on a feature of the image elements, wherein the feature is based on the image elements being observed on the webpage of an online domain;
select an image element from the list of the image elements;
receive a report indicative of the selected image element successfully loading while a webpage is loaded on a web browser of a client device; and
analyze the report based on an expected response of the web browser to detect the implemented blacklist of the at least one blacklist.
8. The system of claim 7 , wherein the at least one memory further stores instructions that, when executed, cause the at least one processor to:
store the scanned image elements in the database with a timestamp of the scan,
wherein the feature is further based on the timestamp being observed within a predetermined timeframe.
9. The system of claim 8 , wherein the at least one memory further stores instructions that, when executed, cause the at least one processor to:
compile frequency data based on the number of observations of the image elements during the predetermined timeframe,
wherein the feature is further based on the frequency data.
10. The system of claim 7 , wherein the at least one memory further stores instructions that, when executed, cause the at least one processor to update the online status of the domain based on the webpage not successfully loading.
11. The system of claim 7 , wherein the at least one blacklist comprises a plurality of blacklists.
12. The system of claim 7 , wherein the at least one memory further stores instructions that, when executed, cause the at least one processor to forward instructions to the client device to enable scanning of the web browser.
13. A non-transitory computer-readable medium storing instructions which, when executed, cause one or more processors to perform a process of detecting an implemented blacklist, the process comprising:
downloading data from at least one blacklist by accessing a domain of the at least one blacklist;
storing the domain of the at least one blacklist in a database with an online status;
accessing a webpage from the domain of the at least one blacklist;
receiving a scan of the accessed webpage for image elements of the at least one blacklist,
compiling a list of the image elements from the at least one blacklist based on a feature of the image elements, wherein the feature is based on the image elements being observed on the webpage of an online domain;
selecting an image element from the list of the image elements;
receiving a report indicative of the selected image element successfully loading while a webpage is loaded on a web browser of a client device; and
analyzing the report based on an expected response of the web browser to detect the implemented blacklist of the at least one blacklist.
14. The non-transitory computer-readable medium of claim 13 , wherein the process comprises:
storing the scanned image elements in the database with a timestamp of the scan,
wherein the feature is further based on the timestamp being within a predetermined timeframe.
15. The non-transitory computer-readable medium of claim 14 , wherein the process comprises:
compiling frequency data based on the number of observations of the image element during the predetermined timeframe,
wherein the feature is further based the frequency data.
16. The non-transitory computer-readable medium of claim 13 , wherein the process comprises updating the online status of the domain based on the webpage not successfully loading.
17. The non-transitory computer-readable medium of claim 13 , wherein the at least one blacklist comprises a plurality of blacklists.