XLoader
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: | 70 % (High) |
| Infected Computers: | 1 |
| First Seen: | July 24, 2009 |
| Last Seen: | May 6, 2019 |
| OS(es) Affected: | Windows |
XLoader is a Trojan horse threat that may attack multiple devices, including Android and Apple devices through certain profile exploitations. The XLoader threat has been noticed for some time now and looks to deploy certain techniques that allow it to evolve into a more aggressive threat that may evade protection measures.
The dangerous of XLoader are serious and should not be overlooked by computer users. In any case of suspecting a threat like XLoader lurking on a system, a computer user should take prompt action to scan their system utilizing a trusted antimalware resource to safely detect and eliminate XLoader. Allowing XLoader to run may lead to other serious issues that not only damage the infected system but could also compromise stored personal data.
