<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: 'For example , one commercial obfuscator , which cost €350 , was used for Trojans and Opfak.bo Obad.a Android vulnerabilities are used by criminals for three reasons : to bypass the code integrity check when installing an application ( vulnerability Master Key ) ; to enhance the rights of malicious applications , considerably extending their capabilities ; and to make it more difficult to remove malware .' [/INST] [For:O, example:O, ,:O, one:O, commercial:O, obfuscator:O, ,:O, which:O, cost:O, €350:O, ,:O, was:O, used:O, for:O, Trojans:O, and:O, Opfak.bo:B-Malware, Obad.a:I-Malware, Android:O, vulnerabilities:O, are:O, used:O, by:O, criminals:O, for:O, three:O, reasons:O, ::O, to:O, bypass:O, the:O, code:O, integrity:O, check:O, when:O, installing:O, an:O, application:O, (:O, vulnerability:O, Master:O, Key:O, ):O, ;:O, to:O, enhance:O, the:O, rights:O, of:O, malicious:O, applications:O, ,:O, considerably:O, extending:O, their:O, capabilities:O, ;:O, and:O, to:O, make:O, it:O, more:O, difficult:O, to:O, remove:O, malware:O, .:O] </s>