<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: 'Analysis of the malware shows that it uses the common string obfuscation of character replacement ( Figure 7 ) : Figure 7 : Encoded Marcher Strings Figure 8 : Decoded Marcher Strings As noted , the application requests extensive permissions during installation ; Figure 9 shows the request to act as device administrator , a particular permission that should very rarely be granted to an app .' [/INST] [Analysis:O, of:O, the:O, malware:O, shows:O, that:O, it:O, uses:O, the:O, common:O, string:O, obfuscation:O, of:O, character:O, replacement:O, (:O, Figure:O, 7:O, ):O, ::O, Figure:O, 7:O, ::O, Encoded:O, Marcher:B-Malware, Strings:O, Figure:O, 8:O, ::O, Decoded:O, Marcher:B-Malware, Strings:O, As:O, noted:O, ,:O, the:O, application:O, requests:O, extensive:O, permissions:O, during:O, installation:O, ;:O, Figure:O, 9:O, shows:O, the:O, request:O, to:O, act:O, as:O, device:O, administrator:O, ,:O, a:O, particular:O, permission:O, that:O, should:O, very:O, rarely:O, be:O, granted:O, to:O, an:O, app:O, .:O] </s>