<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: 'Moreover , incoming traffic from the C & C server began to use gzip compression , and the top-level domain for all C & Cs was .com : Since December 2016 , the changes in C & C communication methods have affected only how the relative path in the URL is generated : the pronounceable word was replaced by a rather long random combination of letters and numbers , for example , “ ozvi4malen7dwdh ” or “ f29u8oi77024clufhw1u5ws62 ” .' [/INST] [Moreover:O, ,:O, incoming:O, traffic:O, from:O, the:O, C:O, &:O, C:O, server:O, began:O, to:O, use:O, gzip:O, compression:O, ,:O, and:O, the:O, top-level:O, domain:O, for:O, all:O, C:O, &:O, Cs:O, was:O, .com:O, ::O, Since:O, December:O, 2016:O, ,:O, the:O, changes:O, in:O, C:O, &:O, C:O, communication:O, methods:O, have:O, affected:O, only:O, how:O, the:O, relative:O, path:O, in:O, the:O, URL:O, is:O, generated:O, ::O, the:O, pronounceable:O, word:O, was:O, replaced:O, by:O, a:O, rather:O, long:O, random:O, combination:O, of:O, letters:O, and:O, numbers:O, ,:O, for:O, example:O, ,:O, “:O, ozvi4malen7dwdh:B-Indicator, ”:O, or:O, “:O, f29u8oi77024clufhw1u5ws62:B-Indicator, ”:O, .:O] </s>