<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 6 : bit.ly statistics for the fake Bank Austria Android app download link From this small sample , we see that 7 % of visitors clicked through to download the application , which is actually a version of the Marcher banking Trojan named “ BankAustria.apk ” , continuing the fraudulent use of the bank ’ s branding to fool potential victims .' [/INST] [Figure:O, 6:O, ::O, bit.ly:B-Indicator, statistics:O, for:O, the:O, fake:O, Bank:B-System, Austria:I-System, Android:I-System, app:I-System, download:O, link:O, From:O, this:O, small:O, sample:O, ,:O, we:O, see:O, that:O, 7:O, %:O, of:O, visitors:O, clicked:O, through:O, to:O, download:O, the:O, application:O, ,:O, which:O, is:O, actually:O, a:O, version:O, of:O, the:O, Marcher:B-Malware, banking:I-Malware, Trojan:I-Malware, named:O, “:O, BankAustria.apk:B-Indicator, ”:O, ,:O, continuing:O, the:O, fraudulent:O, use:O, of:O, the:O, bank:O, ’:O, s:O, branding:O, to:O, fool:O, potential:O, victims:O, .:O] </s>