<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 2 : Bit.ly statistics for a phishing landing page targeting Bank Austria customers The actor appears to have recently begun using “ .top ” top-level domains ( TLDs ) for their phishing landing pages and have implemented a consistent naming structure as shown below .' [/INST] [Figure:O, 2:O, ::O, Bit.ly:B-Indicator, statistics:O, for:O, a:O, phishing:O, landing:O, page:O, targeting:O, Bank:B-System, Austria:I-System, customers:O, The:O, actor:O, appears:O, to:O, have:O, recently:O, begun:O, using:O, “:O, .top:O, ”:O, top-level:O, domains:O, (:O, TLDs:O, ):O, for:O, their:O, phishing:O, landing:O, pages:O, and:O, have:O, implemented:O, a:O, consistent:O, naming:O, structure:O, as:O, shown:O, below:O, .:O] </s>