<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 20 : dropper app category distribution Among the vast number of variants , the top 5 most infectious droppers alone have been downloaded more than 7.8 million times of the infection operations against innocent applications : Figure 21 : Top 5 most infectious droppers The “ Agent Smith ” campaign is primarily targeted at Indian users , who represent 59 % of the impacted population .' [/INST] [Figure:O, 20:O, ::O, dropper:O, app:O, category:O, distribution:O, Among:O, the:O, vast:O, number:O, of:O, variants:O, ,:O, the:O, top:O, 5:O, most:O, infectious:O, droppers:O, alone:O, have:O, been:O, downloaded:O, more:O, than:O, 7.8:O, million:O, times:O, of:O, the:O, infection:O, operations:O, against:O, innocent:O, applications:O, ::O, Figure:O, 21:O, ::O, Top:O, 5:O, most:O, infectious:O, droppers:O, The:O, “:O, Agent:B-Malware, Smith:I-Malware, ”:O, campaign:O, is:O, primarily:O, targeted:O, at:O, Indian:O, users:O, ,:O, who:O, represent:O, 59:O, %:O, of:O, the:O, impacted:O, population:O, .:O] </s>