<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 13 : placeholder classes in Boot module Technical Analysis – Patch Module When “ Agent Smith ” has reached its goal – a malicious payload running inside the original application , with hooks on various methods – at this point , everything lies with maintaining the required code in case of an update for the original application .' [/INST] [Figure:O, 13:O, ::O, placeholder:O, classes:O, in:O, Boot:O, module:O, Technical:O, Analysis:O, –:O, Patch:O, Module:O, When:O, “:O, Agent:B-Malware, Smith:I-Malware, ”:O, has:O, reached:O, its:O, goal:O, –:O, a:O, malicious:O, payload:O, running:O, inside:O, the:O, original:O, application:O, ,:O, with:O, hooks:O, on:O, various:O, methods:O, –:O, at:O, this:O, point:O, ,:O, everything:O, lies:O, with:O, maintaining:O, the:O, required:O, code:O, in:O, case:O, of:O, an:O, update:O, for:O, the:O, original:O, application:O, .:O] </s>