1. A computer-implemented method comprising employing at least one computer processor to perform the steps of: generating a target sequence of target word indexes for a set of visible words of a target webpage, wherein the target word indexes are ordered in the target sequence according to a display order of visible words in the target webpage; computing a word content phishing indicator for the target webpage by determining a relationship between an index of a word within the target sequence of target word indexes and an index of the word within a reference sequence of reference word indexes, wherein the reference word indexes are ordered in the reference sequence according to a display order of visible words in a reference webpage, wherein the word content phishing indicator for the target webpage is computed according to a quantity selected from a group consisting of a first inter-page word distance and a second inter-page word distance, wherein the first inter-page distance is computed as a function of  Δ 1   A ⋃ B  , wherein the second inter-page word distance is computed as a function of  Δ 2   A ⋃ B  , wherein Δ 1 ={w∈A∩B, so that α−ε≦x w /y w ≦α+ε}, wherein Δ 2 ={w∈A∩B, so that α−ε≦x w /y w ≦α+ε}, wherein w represents a word w, A represents a target wordset of the target webpage, B represents a reference wordset of the reference webpage, ∩ and ∪ represent set intersection and union, respectively, |.| denotes number of elements, x w represents an index of the word w within the target wordset, y w represents an index of the word w within the reference wordset, and wherein α and ε are non-zero parameters; and making a determination whether the target webpage is a phishing page according to the word content phishing indicator.
1. A computer-implemented method comprising employing at least one computer processor to perform the steps of: generating a target sequence of target word indexes for a set of visible words of a target webpage, wherein the target word indexes are ordered in the target sequence according to a display order of visible words in the target webpage; computing a word content phishing indicator for the target webpage by determining a relationship between an index of a word within the target sequence of target word indexes and an index of the word within a reference sequence of reference word indexes, wherein the reference word indexes are ordered in the reference sequence according to a display order of visible words in a reference webpage, wherein the word content phishing indicator for the target webpage is computed according to a quantity selected from a group consisting of a first inter-page word distance and a second inter-page word distance, wherein the first inter-page distance is computed as a function of  Δ 1   A ⋃ B  , wherein the second inter-page word distance is computed as a function of  Δ 2   A ⋃ B  , wherein Δ 1 ={w∈A∩B, so that α−ε≦x w /y w ≦α+ε}, wherein Δ 2 ={w∈A∩B, so that α−ε≦x w /y w ≦α+ε}, wherein w represents a word w, A represents a target wordset of the target webpage, B represents a reference wordset of the reference webpage, ∩ and ∪ represent set intersection and union, respectively, |.| denotes number of elements, x w represents an index of the word w within the target wordset, y w represents an index of the word w within the reference wordset, and wherein α and ε are non-zero parameters; and making a determination whether the target webpage is a phishing page according to the word content phishing indicator. 5. The method of claim 1 , further comprising computing a preliminary phishing indicator for the target webpage, and computing the word content phishing indicator for the target webpage in response to computing the preliminary phishing indicator for the target webpage when the target webpage is considered suspicious of phishing according to the preliminary phishing indicator, wherein computing the preliminary phishing indicator includes determining whether the target webpage includes a user authentication request.