By default, tickets on the platform are displayed in lists sorted by the detection date. Due to the potential risks associated with Phishing, Fake Social Media profiles, and Dark Web alerts, the display of tickets for these cases is prioritized based on their relevance. This prioritization helps to identify critical cases and establish priorities for validation.
For these tickets, there is a prioritization alert on the right side of the ticket, as shown in the image:
How does it work?
Through an artificial intelligence algorithm, the probability that the detected URL is a fraud is identified. Based on this analysis, prioritization alerts are assigned, which classify the priority of ticket validation according to the probability of it being a fraud.
Phishing and Fake Social Media Profiles
The prioritization is defined based on the set of attributes assigned to each URL, such as the presence of the page's logo or language, for example.
These attributes are elements found by Machine Learning models in detection. Attributes can help you identify important characteristics to classify that ticket. The presence of the logo, for example, can be critical in cases of fake profiles to determine the Takedown decision.
 | Very high priority (red): 80% or more chance of being a fraud. |
 | High priority (dark orange): between 60% and 79.9% chance of being a fraud. |
 | Medium priority (light orange): between 40% and 59.9% chance of being a fraud. |
 | Low priority (yellow): 0.1% to 49.9% chance of being a fraud. |
When the algorithm's result is a 0% chance of being a fraud, there is no alert. There is also no alert for other types of tickets.
Tickets that have the alert are displayed above other types, being sorted by index. Thus, older tickets may appear above others if they have a higher priority index. The prioritization alert is kept even after it is validated and moved to another list.
Deep & Dark Web
The prioritization is defined based on the set of attributes assigned to each URL, such as the display of credentials or the language of the page, for example.
The criticality will be displayed in the ticket details and on the ticket list. Its values will be determined by the Machine Learning models.
 | High priority: 80% or more chance of being a fraud. |
 | Medium priority: between 50% and 79.9% chance of being a fraud. |
 | Low priority: 0.1% to 49.9% chance of being a fraud. |
The attributes of the Deep & Dark Web are as follows:
Fraud Service Ads – low
Leak Threat – medium
Central/Query Panel – medium
Checker – medium
Data Leak – high
Auction – high
Mention – low
Card Sale – medium
Account Sale – medium
Login Sale – medium
Fake Screen Sale – medium
Machine/POS Sale – medium
Bill Payment – low
Fraud Course Sale – medium
Piracy – medium
Fraud Service Search – low
Search Result – medium
If you have any questions, feel free to reach out at [email protected] 😊