<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'In the second step it asks the victim for the Accessibility Service privilege as visible in following screenshot : Ginp Accessibility request Once the user grants the requested Accessibility Service privilege , Ginp starts by granting itself additional permissions , such as ( dynamic ) permissions required in order to be able to send messages and make calls , without requiring any further action from the victim .' [/INST] [In:O, the:O, second:O, step:O, it:O, asks:O, the:O, victim:O, for:O, the:O, Accessibility:O, Service:O, privilege:O, as:O, visible:O, in:O, following:O, screenshot:O, ::O, Ginp:B-Malware, Accessibility:O, request:O, Once:O, the:O, user:O, grants:O, the:O, requested:O, Accessibility:O, Service:O, privilege:O, ,:O, Ginp:B-Malware, starts:O, by:O, granting:O, itself:O, additional:O, permissions:O, ,:O, such:O, as:O, (:O, dynamic:O, ):O, permissions:O, required:O, in:O, order:O, to:O, be:O, able:O, to:O, send:O, messages:O, and:O, make:O, calls:O, ,:O, without:O, requiring:O, any:O, further:O, action:O, from:O, the:O, victim:O, .:O] </s>