Beijing Kingsoft Internet Security Software Co., Ltd.

Conew Network Technology (beijing) Co., Ltd.

Guoqing Yuan

Ming Xu

Nan Zhang

Yong Chen

Kangzong Zhang

Xin Shu

Haifeng Su

Embodiments of the present application disclose a method and apparatus for removing a root-privileged virus, and an electronic device. The method comprises: detecting, according to a preset virus database, whether a smart device has a file with a characteristic of a root-privileged virus; obtaining a system root privilege when a file with the characteristic of the root-privileged virus is detected; terminating all processes corresponding to all the detected files with the characteristic of the root-privileged virus; recovering system startup items to a status before the intrusion of the root-privileged virus; and deleting all the detected files with the characteristic of the root-privileged virus. Compared with the prior art, the embodiments of the present application enable root-privileged viruses to be killed more thoroughly.

Root virus removal method and apparatus, and electronic device

Embodiments of the present application provide a method and apparatus for removing a root-privileged virus and an electronic device. The method includes: scanning the smart device to find a root-privileged virus file; obtaining a root-privileged removing process according to the virus file; and removing the root-privileged virus file according to a preset removing strategy by using the root-privileged removing process. As a root-privileged process is directly obtained in this embodiment by using a found virus file, the smart device can obtain the root privileges more quickly, improving the speed of killing the root-privileged virus.

Disclosed in the present invention is a method for triggering a widget in an application. The method includes: obtaining the layout information of the first page in the application; extracting the clickable widgets in the first page and the corresponding widget types according to the layout information of the first page; and obtaining the corresponding click-trigger modes according to the corresponding widget types and triggering the clickable widgets through the corresponding click-trigger modes. Thus, an application behavior can be triggered orderly and intelligently, manual workload is reduced greatly, the efficiency is improved and the completeness of triggering the application behavior can be guaranteed. Further disclosed in the present invention are an apparatus for triggering the widget in the application, a mobile terminal and a storage medium.

Method, apparatus and mobile terminal for triggering widget in application

A computer-implemented method and device for automatically identifying a junk file are provided. The method for automatically identifying a junk file includes: acquiring an application to be identified; analyzing the application so as to acquire attribute information of a file generated by the application; matching the attribute information of the file and a preset junk file identification rule; and identifying the file as a junk file if the attribute information of the file is matched with the preset junk file identification rule.

Method and device for automatically identifying junk file

A method and device for constructing an apk virus signature database and an apk virus detection system. The method comprises: obtaining a given sample set, the sample set being composed of N normal apk file samples and N virus-infected apk file samples; for any sample in the given sample set, separately obtaining M signature values of the sample according to M preset signatures; for any sample in the given sample set, separately obtaining M signature values of the sample according to M preset signatures; for any sample subset i (i=1, . . . , 2M), determining whether the sample subset satisfies the following conditions: the ratio of the total number Ciof samples in the subset to the total number of samples in the given sample set is greater than a preset first threshold and the ratio of the total number Ciof virus-infected samples to Ciis greater than a preset second threshold, and if yes, determining a combination of signature values of M signatures corresponding to the sample subset i as a virus signature; and generating an apk virus signature database comprising a plurality of virus signatures, the apk virus signature database being used for detecting an apk file.

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Beijing, China

Guoqing Yuan