<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: 'Figure 5 : core module mixes malicious payload with the original application While decompiling the original app , “ Agent Smith ” has the opportunity to modify the methods inside , replace some of the methods in the original application that handles advertisement with its own code and focus on methods communicating with ‘ AdMob ’ , ‘ Facebook ’ , ‘ MoPub ’ and ‘ Unity Ads ’ .' [/INST] [Figure:O, 5:O, ::O, core:O, module:O, mixes:O, malicious:O, payload:O, with:O, the:O, original:O, application:O, While:O, decompiling:O, the:O, original:O, app:O, ,:O, “:O, Agent:B-Malware, Smith:I-Malware, ”:O, has:O, the:O, opportunity:O, to:O, modify:O, the:O, methods:O, inside:O, ,:O, replace:O, some:O, of:O, the:O, methods:O, in:O, the:O, original:O, application:O, that:O, handles:O, advertisement:O, with:O, its:O, own:O, code:O, and:O, focus:O, on:O, methods:O, communicating:O, with:O, ‘:O, AdMob:B-System, ’:O, ,:O, ‘:O, Facebook:B-System, ’:O, ,:O, ‘:O, MoPub:B-System, ’:O, and:O, ‘:O, Unity:B-System, Ads:I-System, ’:O, .:O] </s>