Good Blocker
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.
| Ranking: | 11,662 |
| Threat Level: | 20 % (Normal) |
| Infected Computers: | 62 |
| First Seen: | July 22, 2022 |
| Last Seen: | September 19, 2023 |
| OS(es) Affected: | Windows |
Good Blocker promotes itself as a useful browser extension that will help users block all of the annoying online advertisements they encounter while browsing the Internet. However, once installed on the system, Good Blocker quickly reveals that its main purpose is to perform the exact actions that it promises to stop. Indeed, the application is yet another intrusive adware. It also falls into the PUP (Potentially Unwanted Programs) category, due to the questionable methods involved in its distribution.
Adware applications are used by their operators as a way to generate monetary gains via the delivery of advertisements. The problem is that in most cases, the delivered advertisements promote dubious destinations that may include hoax websites, phishing portals disguised as login pages, shady online betting/gaming platforms or additional PUPs presented as seemingly legitimate applications.
PUPs are frequently equipped with additional intrusive functionalities as well. These applications are likely to spy on the browsing activities performed on the device. They also may harvest numerous device details, such as IP address, browser type, OS type, geolocation and more. Some PUPs also have been observed to attempt to extract sensitive information (banking details, payment information, credit/debit card numbers, etc.) from browsers' autofill data.
