<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: 'force the device ’ s back to the home screen getnpki : get files/content from the folder named NPKI ( contains certificates related to financial transactions ) http — access a specified network using HttpURLConnection onRecordAction — simulate a number-dialed tone call — call a specified number get_apps — get all the apps installed on the device show_fs_float_window — show a full-screen window for phishing Of note is XLoader ’ s abuse of the WebSocket protocol ( supported in many browsers' [/INST] [force:O, the:O, device:O, ’:O, s:O, back:O, to:O, the:O, home:O, screen:O, getnpki:O, ::O, get:O, files/content:O, from:O, the:O, folder:O, named:O, NPKI:O, (:O, contains:O, certificates:O, related:O, to:O, financial:O, transactions:O, ):O, http:O, —:O, access:O, a:O, specified:O, network:O, using:O, HttpURLConnection:O, onRecordAction:O, —:O, simulate:O, a:O, number-dialed:O, tone:O, call:O, —:O, call:O, a:O, specified:O, number:O, get_apps:O, —:O, get:O, all:O, the:O, apps:O, installed:O, on:O, the:O, device:O, show_fs_float_window:O, —:O, show:O, a:O, full-screen:O, window:O, for:O, phishing:O, Of:O, note:O, is:O, XLoader:B-Malware, ’:O, s:O, abuse:O, of:O, the:O, WebSocket:O, protocol:O, (:O, supported:O, in:O, many:O, browsers:O] </s>