CompellingEntry
Threat Scorecard
EnigmaSoft Threat Scorecard
EnigmaSoft Threat Scorecards are assessment reports for different malware threats which have been collected and analyzed by our research team. EnigmaSoft Threat Scorecards evaluate and rank threats using several metrics including real-world and potential risk factors, trends, frequency, prevalence, and persistence. EnigmaSoft Threat Scorecards are updated regularly based on our research data and metrics and are useful for a wide range of computer users, from end users seeking solutions to remove malware from their systems to security experts analyzing threats.
EnigmaSoft Threat Scorecards display a variety of useful information, including:
Ranking: The ranking of a particular threat in EnigmaSoft’s Threat Database.
Severity Level: The determined severity level of an object, represented numerically, based on our risk modeling process and research, as explained in our Threat Assessment Criteria.
Infected Computers: The number of confirmed and suspected cases of a particular threat detected on infected computers as reported by SpyHunter.
See also Threat Assessment Criteria.
Threat Level: | 20 % (Normal) |
Infected Computers: | 14 |
First Seen: | August 3, 2021 |
Last Seen: | May 9, 2022 |
The number of intrusive apps targeting Mac users is growing further up. The AdLoad adware family especially remains a common choice when it comes to the creation of dubious PUPs (Potentially Unwanted Programs). These annoying programs are commonly placed inside shady software bundles or fake installers in order to get deployed on the Mac without being noticed by users. One example of such an app is CompellingEntry.
Analysis of the program has revealed that it follows the typical AdLoad behavioral pattern. As such, the app is mostly concerned with the monetization of its presence on the device via the delivery of unwanted ads. The generated advertisements are highly likely to promote untrustworthy destinations. Indeed, users can be presented with ads for shady adult-oriented platforms, fake giveaways, or other online scams. Another possibility is for the ads to be used as vehicles for the distribution of additional PUPs.
Another aspect often associated with PUPs is the presence of data-tracking routines. While installed on the device, these apps could be continuously collecting various browsing information and even device details. Users should also keep in mind that some PUPs are capable of extracting sensitive information from browsers' autofill data. This information typically includes account credentials and even payment details or credit/debit card numbers.