diff --git a/dist/zxcvbn.js b/dist/zxcvbn.js index c23af7d5..bc607ea6 100644 --- a/dist/zxcvbn.js +++ b/dist/zxcvbn.js @@ -12,10 +12,10 @@ english:"you,i,to,the,a,and,that,it,of,me,what,is,in,this,know,i'm,for,no,have,m var matching,scoring,time,zxcvbn;matching=require("./matching"),scoring=require("./scoring"),time=function(){return(new Date).getTime()},zxcvbn=function(n,e){var t,i,r,c,m,o,a,u;for(null==e&&(e=[]),u=time(),a=[],i=0,r=e.length;r>i;i++)t=e[i],("string"==(m=typeof t)||"number"===m||"boolean"===m)&&a.push(t.toString().toLowerCase());return matching.set_user_input_dictionary(a),c=matching.omnimatch(n),o=scoring.minimum_entropy_match_sequence(n,c),o.calc_time=time()-u,o},module.exports=zxcvbn; },{"./matching":4,"./scoring":5}],4:[function(require,module,exports){ -var DATE_MAX_YEAR,DATE_MIN_YEAR,DATE_SPLITS,GRAPHS,L33T_TABLE,RANKED_DICTIONARIES,REGEXEN,SEQUENCES,adjacency_graphs,build_ranked_dict,frequency_lists,matching,scoring,indexOf=[].indexOf||function(e){for(var t=0,n=this.length;n>t;t++)if(t in this&&this[t]===e)return t;return-1};frequency_lists=require("./frequency_lists"),adjacency_graphs=require("./adjacency_graphs"),scoring=require("./scoring"),build_ranked_dict=function(e){var t,n,r,i,a;for(i={},t=1,r=0,n=e.length;n>r;r++)a=e[r],i[a]=t,t+=1;return i},RANKED_DICTIONARIES={passwords:build_ranked_dict(frequency_lists.passwords),english:build_ranked_dict(frequency_lists.english),surnames:build_ranked_dict(frequency_lists.surnames),male_names:build_ranked_dict(frequency_lists.male_names),female_names:build_ranked_dict(frequency_lists.female_names)},GRAPHS={qwerty:adjacency_graphs.qwerty,dvorak:adjacency_graphs.dvorak,keypad:adjacency_graphs.keypad,mac_keypad:adjacency_graphs.mac_keypad},SEQUENCES={lower:"abcdefghijklmnopqrstuvwxyz",upper:"ABCDEFGHIJKLMNOPQRSTUVWXYZ",digits:"0123456789"},L33T_TABLE={a:["4","@"],b:["8"],c:["(","{","[","<"],e:["3"],g:["6","9"],i:["1","!","|"],l:["1","|","7"],o:["0"],s:["$","5"],t:["+","7"],x:["%"],z:["2"]},REGEXEN={alpha_lower:/[A-Z]{2,}/g,alpha_upper:/[a-z]{2,}/g,alpha:/[a-zA-Z]{2,}/g,alphanumeric:/[a-zA-Z0-9]{2,}/g,digits:/\d{2,}/g,symbols:/[\W_]{2,}/g,recent_year:/19\d\d|200\d|201\d/g},DATE_MAX_YEAR=2050,DATE_MIN_YEAR=1e3,DATE_SPLITS={4:[[1,2],[2,3]],5:[[1,3],[2,3]],6:[[1,2],[2,4],[4,5]],7:[[1,3],[2,3],[4,5],[4,6]],8:[[2,4],[4,6]]},matching={empty:function(e){var t;return 0===function(){var n;n=[];for(t in e)n.push(t);return n}().length},extend:function(e,t){return e.push.apply(e,t)},translate:function(e,t){var n;return function(){var r,i,a,s;for(a=e.split(""),s=[],i=0,r=a.length;r>i;i++)n=a[i],s.push(t[n]||n);return s}().join("")},mod:function(e,t){return(e%t+t)%t},sorted:function(e){return e.sort(function(e,t){return e.i-t.i||e.j-t.j})},omnimatch:function(e){var t,n,r,i,a;for(i=[],r=[this.dictionary_match,this.l33t_match,this.spatial_match,this.repeat_match,this.sequence_match,this.regex_match,this.date_match],a=0,t=r.length;t>a;a++)n=r[a],this.extend(i,n.call(this,e));return this.sorted(i)},dictionary_match:function(e,t){var n,r,i,a,s,h,o,c,u,l,_,f,d,p;null==t&&(t=RANKED_DICTIONARIES),s=[],a=e.length,c=e.toLowerCase();for(n in t)for(l=t[n],r=h=0,_=a;_>=0?_>h:h>_;r=_>=0?++h:--h)for(i=o=f=r,d=a;d>=f?d>o:o>d;i=d>=f?++o:--o)c.slice(r,+i+1||9e9)in l&&(p=c.slice(r,+i+1||9e9),u=l[p],s.push({pattern:"dictionary",i:r,j:i,token:e.slice(r,+i+1||9e9),matched_word:p,rank:u,dictionary_name:n}));return this.sorted(s)},set_user_input_dictionary:function(e){return RANKED_DICTIONARIES.user_inputs=build_ranked_dict(e.slice())},relevant_l33t_subtable:function(e,t){var n,r,i,a,s,h,o,c,u,l;for(s={},h=e.split(""),a=0,r=h.length;r>a;a++)n=h[a],s[n]=!0;l={};for(i in t)u=t[i],o=function(){var e,t,n;for(n=[],t=0,e=u.length;e>t;t++)c=u[t],c in s&&n.push(c);return n}(),o.length>0&&(l[i]=o);return l},enumerate_l33t_subs:function(e){var t,n,r,i,a,s,h,o,c,u,l,_,f,d,p;a=function(){var t;t=[];for(i in e)t.push(i);return t}(),p=[[]],n=function(e){var t,n,r,a,s,h,o,c;for(n=[],s={},h=0,a=e.length;a>h;h++)o=e[h],t=function(){var e,t,n;for(n=[],c=t=0,e=o.length;e>t;c=++t)i=o[c],n.push([i,c]);return n}(),t.sort(),r=function(){var e,n,r;for(r=[],c=n=0,e=t.length;e>n;c=++n)i=t[c],r.push(i+","+c);return r}().join("-"),r in s||(s[r]=!0,n.push(o));return n},r=function(t){var i,a,s,h,o,c,u,l,_,f,d,g,E,m,y,A;if(t.length){for(a=t[0],E=t.slice(1),u=[],d=e[a],l=0,o=d.length;o>l;l++)for(h=d[l],_=0,c=p.length;c>_;_++){for(m=p[_],i=-1,s=f=0,g=m.length;g>=0?g>f:f>g;s=g>=0?++f:--f)if(m[s][0]===h){i=s;break}-1===i?(A=m.concat([[h,a]]),u.push(A)):(y=m.slice(0),y.splice(i,1),y.push([h,a]),u.push(m),u.push(y))}return p=n(u),r(E)}},r(a),d=[];for(c=0,h=p.length;h>c;c++){for(_=p[c],f={},u=0,o=_.length;o>u;u++)l=_[u],s=l[0],t=l[1],f[s]=t;d.push(f)}return d},l33t_match:function(e,t,n){var r,i,a,s,h,o,c,u,l,_,f,d,p,g,E,m;for(null==t&&(t=RANKED_DICTIONARIES),null==n&&(n=L33T_TABLE),c=[],_=this.enumerate_l33t_subs(this.relevant_l33t_subtable(e,n)),u=0,a=_.length;a>u&&(d=_[u],!this.empty(d));u++)for(g=this.translate(e,d),f=this.dictionary_match(g,t),l=0,s=f.length;s>l;l++)if(h=f[l],E=e.slice(h.i,+h.j+1||9e9),E.toLowerCase()!==h.matched_word){o={};for(p in d)r=d[p],-1!==E.indexOf(p)&&(o[p]=r);h.l33t=!0,h.token=E,h.sub=o,h.sub_display=function(){var e;e=[];for(i in o)m=o[i],e.push(i+" -> "+m);return e}().join(", "),c.push(h)}return this.sorted(c)},spatial_match:function(e,t){var n,r,i;null==t&&(t=GRAPHS),i=[];for(r in t)n=t[r],this.extend(i,this.spatial_match_helper(e,n,r));return this.sorted(i)},SHIFTED_RX:/[~!@#$%^&*()_+QWERTYUIOP{}|ASDFGHJKL:"ZXCVBNM<>?]/,spatial_match_helper:function(e,t,n){var r,i,a,s,h,o,c,u,l,_,f,d,p,g,E;for(f=[],c=0;cd;d++)if(r=i[d],s+=1,r&&-1!==r.indexOf(a)){h=!0,o=s,1===r.indexOf(a)&&(g+=1),l!==o&&(E+=1,l=o);break}if(!h){u-c>2&&f.push({pattern:"spatial",i:c,j:u-1,token:e.slice(c,u),graph:n,turns:E,shifted_count:g}),c=u;break}u+=1}return f},repeat_match:function(e){var t,n,r,i,a,s,h;for(a=3,i=[],n=0;n=a&&i.push({pattern:"repeat",i:n,j:r,token:e.slice(n,+r+1||9e9),repeated_char:e.charAt(n)});break}r+=1}n=r+1}return this.sorted(i)},sequence_match:function(e){var t,n,r,i,a,s,h,o,c,u,l,_,f;s=3,a=[];for(_ in SEQUENCES)for(l=SEQUENCES[_],c=[1,-1],o=0,i=c.length;i>o;o++)for(t=c[o],n=0;n=s&&a.push({pattern:"sequence",i:n,j:r,token:e.slice(n,+r+1||9e9),sequence_name:_,sequence_space:l.length,ascending:1===t}),n=r+1}return this.sorted(a)},regex_match:function(e,t){var n,r,i,a,s;null==t&&(t=REGEXEN),n=[];for(r in t)for(i=t[r],i.lastIndex=0;a=i.exec(e);)s=a[0],n.push({pattern:"regex",token:s,i:a.index,j:a.index+a[0].length-1,regex_name:r,regex_match:a});return this.sorted(n)},date_match:function(e){var t,n,r,i,a,s,h,o,c,u,l,_,f,d,p,g,E,m,y,A,R,v,I,k,T,x,N,S,b,D,j,q,C,O,w,L,Y,M,X,G,P,F;for(E=[],m=/^\d{4,8}$/,y=/^(\d{1,4})([\s\/\\_.-])(\d{1,2})\2(\d{1,4})$/,h=v=0,N=e.length-4;N>=0?N>=v:v>=N;h=N>=0?++v:--v)for(c=k=S=h+3,b=h+7;(b>=S?b>=k:k>=b)&&!(c>=e.length);c=b>=S?++k:--k)if(G=e.slice(h,+c+1||9e9),m.exec(G)){for(r=[],D=DATE_SPLITS[G.length],T=0,_=D.length;_>T;T++)j=D[T],u=j[0],l=j[1],a=this.map_ints_to_dmy([parseInt(G.slice(0,u)),parseInt(G.slice(u,l)),parseInt(G.slice(l))]),null!=a&&r.push(a);if(r.length>0){for(t=r[0],A=function(e){return Math.abs(e.year-scoring.REFERENCE_YEAR)},R=A(r[0]),q=r.slice(1),x=0,f=q.length;f>x;x++)n=q[x],i=A(n),R>i&&(C=[n,i],t=C[0],R=C[1]);E.push({pattern:"date",token:G,i:h,j:c,separator:"",year:t.year,month:t.month,day:t.day})}}for(h=M=0,O=e.length-6;O>=0?O>=M:M>=O;h=O>=0?++M:--M)for(c=X=w=h+5,L=h+9;(L>=w?L>=X:X>=L)&&!(c>=e.length);c=L>=w?++X:--X)G=e.slice(h,+c+1||9e9),Y=y.exec(G),null!=Y&&(a=this.map_ints_to_dmy([parseInt(Y[1]),parseInt(Y[3]),parseInt(Y[4])]),null!=a&&E.push({pattern:"date",token:G,i:h,j:c,separator:Y[2],year:a.year,month:a.month,day:a.day}));for(s=[],P=0,d=E.length;d>P;P++){for(g=E[P],o=!1,F=0,p=E.length;p>F;F++)if(I=E[F],g!==I&&I.i<=g.i&&I.j>=g.j){o=!0;break}o||s.push(g)}return this.sorted(s)},map_ints_to_dmy:function(e){var t,n,r,i,a,s,h,o,c,u,l,_,f,d,p,g;if(!(e[1]>31||e[1]<=0)){for(h=0,o=0,p=0,s=0,r=e.length;r>s;s++){if(n=e[s],n>99&&DATE_MIN_YEAR>n||n>DATE_MAX_YEAR)return;n>31&&(o+=1),n>12&&(h+=1),0>=n&&(p+=1)}if(!(o>=2||3===h||p>=2)){for(u=[[e[2],e.slice(0,2)],[e[0],e.slice(1,3)]],c=0,i=u.length;i>c;c++)if(_=u[c],g=_[0],d=_[1],g>=DATE_MIN_YEAR&&DATE_MAX_YEAR>=g)return t=this.map_ints_to_dm(d),null!=t?{year:g,month:t.month,day:t.day}:void 0;for(l=0,a=u.length;a>l;l++)if(f=u[l],g=f[0],d=f[1],t=this.map_ints_to_dm(d),null!=t)return g=this.two_to_four_digit_year(g),{year:g,month:t.month,day:t.day}}}},map_ints_to_dm:function(e){var t,n,r,i,a,s;for(a=[e,e.slice().reverse()],i=0,n=a.length;n>i;i++)if(s=a[i],t=s[0],r=s[1],t>=1&&31>=t&&r>=1&&12>=r)return{day:t,month:r}},two_to_four_digit_year:function(e){return e>99?e:e>50?e+scoring.REFERENCE_YEAR-100:e+scoring.REFERENCE_YEAR}},module.exports=matching; +var DATE_MAX_YEAR,DATE_MIN_YEAR,DATE_SPLITS,GRAPHS,L33T_TABLE,RANKED_DICTIONARIES,REGEXEN,REGEX_PRECEDENCE,SEQUENCES,adjacency_graphs,build_ranked_dict,frequency_lists,matching,scoring,indexOf=[].indexOf||function(e){for(var t=0,n=this.length;n>t;t++)if(t in this&&this[t]===e)return t;return-1};frequency_lists=require("./frequency_lists"),adjacency_graphs=require("./adjacency_graphs"),scoring=require("./scoring"),build_ranked_dict=function(e){var t,n,r,i,a;for(i={},t=1,r=0,n=e.length;n>r;r++)a=e[r],i[a]=t,t+=1;return i},RANKED_DICTIONARIES={passwords:build_ranked_dict(frequency_lists.passwords),english:build_ranked_dict(frequency_lists.english),surnames:build_ranked_dict(frequency_lists.surnames),male_names:build_ranked_dict(frequency_lists.male_names),female_names:build_ranked_dict(frequency_lists.female_names)},GRAPHS={qwerty:adjacency_graphs.qwerty,dvorak:adjacency_graphs.dvorak,keypad:adjacency_graphs.keypad,mac_keypad:adjacency_graphs.mac_keypad},SEQUENCES={lower:"abcdefghijklmnopqrstuvwxyz",upper:"ABCDEFGHIJKLMNOPQRSTUVWXYZ",digits:"0123456789"},L33T_TABLE={a:["4","@"],b:["8"],c:["(","{","[","<"],e:["3"],g:["6","9"],i:["1","!","|"],l:["1","|","7"],o:["0"],s:["$","5"],t:["+","7"],x:["%"],z:["2"]},REGEXEN={alphanumeric:/[a-zA-Z0-9]{2,}/g,alpha:/[a-zA-Z]{2,}/g,alpha_lower:/[a-z]{2,}/g,alpha_upper:/[A-Z]{2,}/g,digits:/\d{2,}/g,symbols:/[\W_]{2,}/g,recent_year:/19\d\d|200\d|201\d/g},REGEX_PRECEDENCE={alphanumeric:0,alpha:1,alpha_lower:2,alpha_upper:2,digits:2,symbols:2,recent_year:3},DATE_MAX_YEAR=2050,DATE_MIN_YEAR=1e3,DATE_SPLITS={4:[[1,2],[2,3]],5:[[1,3],[2,3]],6:[[1,2],[2,4],[4,5]],7:[[1,3],[2,3],[4,5],[4,6]],8:[[2,4],[4,6]]},matching={empty:function(e){var t;return 0===function(){var n;n=[];for(t in e)n.push(t);return n}().length},extend:function(e,t){return e.push.apply(e,t)},translate:function(e,t){var n;return function(){var r,i,a,s;for(a=e.split(""),s=[],i=0,r=a.length;r>i;i++)n=a[i],s.push(t[n]||n);return s}().join("")},mod:function(e,t){return(e%t+t)%t},sorted:function(e){return e.sort(function(e,t){return e.i-t.i||e.j-t.j})},omnimatch:function(e){var t,n,r,i,a;for(i=[],r=[this.dictionary_match,this.reverse_dictionary_match,this.l33t_match,this.spatial_match,this.repeat_match,this.sequence_match,this.regex_match,this.date_match],a=0,t=r.length;t>a;a++)n=r[a],this.extend(i,n.call(this,e));return this.sorted(i)},dictionary_match:function(e,t){var n,r,i,a,s,o,h,l,c,u,_,f,d,p;null==t&&(t=RANKED_DICTIONARIES),s=[],a=e.length,l=e.toLowerCase();for(n in t)for(u=t[n],r=o=0,_=a;_>=0?_>o:o>_;r=_>=0?++o:--o)for(i=h=f=r,d=a;d>=f?d>h:h>d;i=d>=f?++h:--h)l.slice(r,+i+1||9e9)in 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r,i,a,s,o,h,l,c,u,_,f,d,p,E,g,m;for(null==t&&(t=RANKED_DICTIONARIES),null==n&&(n=L33T_TABLE),l=[],_=this.enumerate_l33t_subs(this.relevant_l33t_subtable(e,n)),c=0,a=_.length;a>c&&(d=_[c],!this.empty(d));c++)for(E=this.translate(e,d),f=this.dictionary_match(E,t),u=0,s=f.length;s>u;u++)if(o=f[u],g=e.slice(o.i,+o.j+1||9e9),g.toLowerCase()!==o.matched_word){h={};for(p in d)r=d[p],-1!==g.indexOf(p)&&(h[p]=r);o.l33t=!0,o.token=g,o.sub=h,o.sub_display=function(){var e;e=[];for(i in h)m=h[i],e.push(i+" -> "+m);return e}().join(", "),l.push(o)}return this.sorted(l)},spatial_match:function(e,t){var n,r,i;null==t&&(t=GRAPHS),i=[];for(r in t)n=t[r],this.extend(i,this.spatial_match_helper(e,n,r));return this.sorted(i)},SHIFTED_RX:/[~!@#$%^&*()_+QWERTYUIOP{}|ASDFGHJKL:"ZXCVBNM<>?]/,spatial_match_helper:function(e,t,n){var r,i,a,s,o,h,l,c,u,_,f,d,p,E,g;for(f=[],l=0;ld;d++)if(r=i[d],s+=1,r&&-1!==r.indexOf(a)){o=!0,h=s,1===r.indexOf(a)&&(E+=1),u!==h&&(g+=1,u=h);break}if(!o){c-l>2&&f.push({pattern:"spatial",i:l,j:c-1,token:e.slice(l,c),graph:n,turns:g,shifted_count:E}),l=c;break}c+=1}return f},repeat_match:function(e){var t,n,r,i,a,s,o,h,l,c,u,_,f,d,p;for(d=[],a=/(.+)\1+/g,c=/(.+?)\1+/g,u=/^(.+?)\1+$/,l=0;l_[0].length?(f=s,i=u.exec(f[0])[1]):(f=_,i=f[1]),p=[f.index,f.index+f[0].length-1],o=p[0],h=p[1],t=scoring.minimum_entropy_match_sequence(i,this.omnimatch(i)),r=t.match_sequence,n=t.entropy,d.push({pattern:"repeat",i:o,j:h,token:f[0],base_token:i,base_entropy:n,base_matches:r}),l=h+1;return d},sequence_match:function(e){var t,n,r,i,a,s,o,h,l,c,u,_,f;s=3,a=[];for(_ in SEQUENCES)for(u=SEQUENCES[_],l=[1,-1],h=0,i=l.length;i>h;h++)for(t=l[h],n=0;n=s&&a.push({pattern:"sequence",i:n,j:r,token:e.slice(n,+r+1||9e9),sequence_name:_,sequence_space:u.length,ascending:1===t}),n=r+1}return this.sorted(a)},regex_match:function(e,t){var n,r,i,a,s,o,h,l,c,u,_,f,d;null==t&&(t=REGEXEN),o=[];for(h in t)for(_=t[h],_.lastIndex=0;f=_.exec(e);)d=f[0],o.push({pattern:"regex",token:d,i:f.index,j:f.index+f[0].length-1,regex_name:h,regex_match:f});for(u={},n=function(e){return e.i+"-"+e.j},l=0,a=o.length;a>l;l++)s=o[l],i=n(s),c=REGEX_PRECEDENCE[s.regex_name],i in u&&(r=u[i],r>=c)||(u[i]=c);return this.sorted(o.filter(function(e){return u[n(e)]===REGEX_PRECEDENCE[e.regex_name]}))},date_match:function(e){var t,n,r,i,a,s,o,h,l,c,u,_,f,d,p,E,g,m,y,A,R,v,I,x,k,N,D,T,b,j,S,C,q,O;for(_=[],f=/^\d{4,8}$/,d=/^(\d{1,4})([\s\/\\_.-])(\d{1,2})\2(\d{1,4})$/,s=g=0,R=e.length-4;R>=0?R>=g:g>=R;s=R>=0?++g:--g)for(o=m=v=s+3,I=s+7;(I>=v?I>=m:m>=I)&&!(o>=e.length);o=I>=v?++m:--m)if(O=e.slice(s,+o+1||9e9),f.exec(O)){for(r=[],x=DATE_SPLITS[O.length],y=0,c=x.length;c>y;y++)k=x[y],h=k[0],l=k[1],a=this.map_ints_to_dmy([parseInt(O.slice(0,h)),parseInt(O.slice(h,l)),parseInt(O.slice(l))]),null!=a&&r.push(a);if(r.length>0){for(t=r[0],p=function(e){return Math.abs(e.year-scoring.REFERENCE_YEAR)},E=p(r[0]),N=r.slice(1),A=0,u=N.length;u>A;A++)n=N[A],i=p(n),E>i&&(D=[n,i],t=D[0],E=D[1]);_.push({pattern:"date",token:O,i:s,j:o,separator:"",year:t.year,month:t.month,day:t.day})}}for(s=C=0,T=e.length-6;T>=0?T>=C:C>=T;s=T>=0?++C:--C)for(o=q=b=s+5,j=s+9;(j>=b?j>=q:q>=j)&&!(o>=e.length);o=j>=b?++q:--q)O=e.slice(s,+o+1||9e9),S=d.exec(O),null!=S&&(a=this.map_ints_to_dmy([parseInt(S[1]),parseInt(S[3]),parseInt(S[4])]),null!=a&&_.push({pattern:"date",token:O,i:s,j:o,separator:S[2],year:a.year,month:a.month,day:a.day}));return this.sorted(_.filter(function(e){var t,n,r,i;for(t=!1,i=0,n=_.length;n>i;i++)if(r=_[i],e!==r&&r.i<=e.i&&r.j>=e.j){t=!0;break}return!t}))},map_ints_to_dmy:function(e){var t,n,r,i,a,s,o,h,l,c,u,_,f,d,p,E;if(!(e[1]>31||e[1]<=0)){for(o=0,h=0,p=0,s=0,r=e.length;r>s;s++){if(n=e[s],n>99&&DATE_MIN_YEAR>n||n>DATE_MAX_YEAR)return;n>31&&(h+=1),n>12&&(o+=1),0>=n&&(p+=1)}if(!(h>=2||3===o||p>=2)){for(c=[[e[2],e.slice(0,2)],[e[0],e.slice(1,3)]],l=0,i=c.length;i>l;l++)if(_=c[l],E=_[0],d=_[1],E>=DATE_MIN_YEAR&&DATE_MAX_YEAR>=E)return t=this.map_ints_to_dm(d),null!=t?{year:E,month:t.month,day:t.day}:void 0;for(u=0,a=c.length;a>u;u++)if(f=c[u],E=f[0],d=f[1],t=this.map_ints_to_dm(d),null!=t)return E=this.two_to_four_digit_year(E),{year:E,month:t.month,day:t.day}}}},map_ints_to_dm:function(e){var t,n,r,i,a,s;for(a=[e,e.slice().reverse()],i=0,n=a.length;n>i;i++)if(s=a[i],t=s[0],r=s[1],t>=1&&31>=t&&r>=1&&12>=r)return{day:t,month:r}},two_to_four_digit_year:function(e){return e>99?e:e>50?e+scoring.REFERENCE_YEAR-100:e+scoring.REFERENCE_YEAR}},module.exports=matching; },{"./adjacency_graphs":1,"./frequency_lists":2,"./scoring":5}],5:[function(require,module,exports){ -var adjacency_graphs,calc_average_degree,k,scoring,v;adjacency_graphs=require("./adjacency_graphs"),calc_average_degree=function(t){var e,r,n,a,i,o;e=0;for(n in t)i=t[n],e+=function(){var t,e,r;for(r=[],t=0,e=i.length;e>t;t++)a=i[t],a&&r.push(a);return r}().length;return e/=function(){var e;e=[];for(r in t)o=t[r],e.push(r);return e}().length},scoring={nCk:function(t,e){var r,n,a,i;if(e>t)return 0;if(0===e)return 1;for(a=1,r=n=1,i=e;i>=1?i>=n:n>=i;r=i>=1?++n:--n)a*=t,a/=r,t-=1;return a},lg:function(t){return Math.log(t)/Math.log(2)},minimum_entropy_match_sequence:function(t,e){var r,n,a,i,o,h,s,_,c,u,p,l,g,f,E,y,d,A,R,m,k;for(n=this.calc_bruteforce_cardinality(t),k=[],r=[],s=_=0,A=t.length;A>=0?A>_:_>A;s=A>=0?++_:--_)for(k[s]=(k[s-1]||0)+this.lg(n),r[s]=null,p=0,c=e.length;c>p;p++)g=e[p],g.j===s&&(R=[g.i,g.j],o=R[0],h=R[1],a=(k[o-1]||0)+this.calc_entropy(g),a=0;)g=r[s],g?(f.push(g),s=g.i-1):s-=1;for(f.reverse(),l=function(e){return function(r,a){return{pattern:"bruteforce",i:r,j:a,token:t.slice(r,+a+1||9e9),entropy:e.lg(Math.pow(n,a-r+1)),cardinality:n}}}(this),s=0,E=[],d=0,u=f.length;u>d;d++)g=f[d],m=[g.i,g.j],o=m[0],h=m[1],o-s>0&&E.push(l(s,o-1)),s=h+1,E.push(g);return s=2?g>=s:s>=g;o=g>=2?++s:--s)for(p=Math.min(d,o-1),h=_=1,f=p;f>=1?f>=_:_>=f;h=f>=1?++_:--_)u+=this.nCk(o-1,h-1)*y*Math.pow(a,h);if(i=this.lg(u),t.shifted_count)if(r=t.shifted_count,n=t.token.length-t.shifted_count,0===n)i+=1;else{for(u=0,o=c=1,E=Math.min(r,n);E>=1?E>=c:c>=E;o=E>=1?++c:--c)u+=this.nCk(r+n,o);i+=this.lg(u)}return i},dictionary_entropy:function(t){return t.base_entropy=this.lg(t.rank),t.uppercase_entropy=this.extra_uppercase_entropy(t),t.l33t_entropy=this.extra_l33t_entropy(t),t.base_entropy+t.uppercase_entropy+t.l33t_entropy},START_UPPER:/^[A-Z][^A-Z]+$/,END_UPPER:/^[^A-Z]+[A-Z]$/,ALL_UPPER:/^[^a-z]+$/,ALL_LOWER:/^[^A-Z]+$/,extra_uppercase_entropy:function(t){var e,r,n,a,i,o,h,s,_,c,u,p;if(p=t.token,p.match(this.ALL_LOWER))return 0;for(_=[this.START_UPPER,this.END_UPPER,this.ALL_UPPER],i=0,o=_.length;o>i;i++)if(u=_[i],p.match(u))return 1;for(r=function(){var t,e,r,a;for(r=p.split(""),a=[],e=0,t=r.length;t>e;e++)n=r[e],n.match(/[A-Z]/)&&a.push(n);return a}().length,e=function(){var t,e,r,a;for(r=p.split(""),a=[],e=0,t=r.length;t>e;e++)n=r[e],n.match(/[a-z]/)&&a.push(n);return a}().length,s=0,a=h=1,c=Math.min(r,e);c>=1?c>=h:h>=c;a=c>=1?++h:--h)s+=this.nCk(r+e,a);return this.lg(s)},extra_l33t_entropy:function(t){var e,r,n,a,i,o,h,s,_,c,u,p,l;if(!t.l33t)return 0;i=0,c=t.sub;for(p in c)if(l=c[p],a=t.token.toLowerCase().split(""),e=function(){var t,e,r;for(r=[],t=0,e=a.length;e>t;t++)n=a[t],n===p&&r.push(n);return r}().length,r=function(){var t,e,r;for(r=[],t=0,e=a.length;e>t;t++)n=a[t],n===l&&r.push(n);return r}().length,0===e||0===r)i+=1;else{for(s=Math.min(r,e),_=0,o=h=1,u=s;u>=1?u>=h:h>=u;o=u>=1?++h:--h)_+=this.nCk(r+e,o);i+=this.lg(_)}return i},calc_bruteforce_cardinality:function(t){var e,r,n,a,i,o,h,s,_,c,u,p,l,g,f,E,y,d,A,R,m,k;for(y=function(){var t,e;for(e=[],i=t=0;6>t;i=++t)e.push(!1);return e}(),u=y[0],k=y[1],a=y[2],R=y[3],s=y[4],h=y[5],m=[],d=t.split(""),o=0,_=d.length;_>o;o++)r=d[o],f=r.charCodeAt(0),f>=48&&57>=f?a=!0:f>=65&&90>=f?k=!0:f>=97&&122>=f?u=!0:127>=f?R=!0:f>=128&&191>=f?s=!0:f>=192&&255>=f?h=!0:f>255&&m.push(f);if(e=0,a&&(e+=10),k&&(e+=26),u&&(e+=26),R&&(e+=33),s&&(e+=64),h&&(e+=64),m.length){for(g=l=m[0],A=m.slice(1),p=0,c=A.length;c>p;p++)n=A[p],g>n&&(g=n),n>l&&(l=n);E=l-g+1,40>E&&(E=40),E>100&&(E=100),e+=E}return e},display_time:function(t){var e,r,n,a,i,o,h,s,_,c;return h=60,o=60*h,n=24*o,s=31*n,c=12*s,r=100*c,_=h>t?[t,t+" second"]:o>t?(e=Math.round(t/h),[e,e+" minute"]):n>t?(e=Math.round(t/o),[e,e+" hour"]):s>t?(e=Math.round(t/n),[e,e+" day"]):c>t?(e=Math.round(t/s),[e,e+" month"]):r>t?(e=Math.round(t/c),[e,e+" year"]):[null,"centuries"],a=_[0],i=_[1],null!=a&&1!==a&&(i+="s"),i}},module.exports=scoring; +var adjacency_graphs,calc_average_degree,k,scoring,v;adjacency_graphs=require("./adjacency_graphs"),calc_average_degree=function(t){var e,r,n,a,i,o;e=0;for(n in t)i=t[n],e+=function(){var t,e,r;for(r=[],t=0,e=i.length;e>t;t++)a=i[t],a&&r.push(a);return r}().length;return e/=function(){var e;e=[];for(r in t)o=t[r],e.push(r);return e}().length},scoring={nCk:function(t,e){var r,n,a,i;if(e>t)return 0;if(0===e)return 1;for(a=1,r=n=1,i=e;i>=1?i>=n:n>=i;r=i>=1?++n:--n)a*=t,a/=r,t-=1;return a},lg:function(t){return Math.log(t)/Math.log(2)},minimum_entropy_match_sequence:function(t,e){var r,n,a,i,o,h,s,_,c,u,p,l,g,f,E,y,d,A,R,v,m;for(n=this.calc_bruteforce_cardinality(t),m=[],r=[],s=_=0,A=t.length;A>=0?A>_:_>A;s=A>=0?++_:--_)for(m[s]=(m[s-1]||0)+this.lg(n),r[s]=null,p=0,c=e.length;c>p;p++)g=e[p],g.j===s&&(R=[g.i,g.j],o=R[0],h=R[1],a=(m[o-1]||0)+this.calc_entropy(g),a=0;)g=r[s],g?(f.push(g),s=g.i-1):s-=1;for(f.reverse(),l=function(e){return function(r,a){return{pattern:"bruteforce",i:r,j:a,token:t.slice(r,+a+1||9e9),entropy:e.lg(Math.pow(n,a-r+1)),cardinality:n}}}(this),s=0,E=[],d=0,u=f.length;u>d;d++)g=f[d],v=[g.i,g.j],o=v[0],h=v[1],o-s>0&&E.push(l(s,o-1)),s=h+1,E.push(g);return s=2?g>=s:s>=g;o=g>=2?++s:--s)for(p=Math.min(d,o-1),h=_=1,f=p;f>=1?f>=_:_>=f;h=f>=1?++_:--_)u+=this.nCk(o-1,h-1)*y*Math.pow(a,h);if(i=this.lg(u),t.shifted_count)if(r=t.shifted_count,n=t.token.length-t.shifted_count,0===n)i+=1;else{for(u=0,o=c=1,E=Math.min(r,n);E>=1?E>=c:c>=E;o=E>=1?++c:--c)u+=this.nCk(r+n,o);i+=this.lg(u)}return i},dictionary_entropy:function(t){return t.base_entropy=this.lg(t.rank),t.uppercase_entropy=this.extra_uppercase_entropy(t),t.reversed_entropy=t.reversed&&1||0,t.l33t_entropy=this.extra_l33t_entropy(t),t.base_entropy+t.uppercase_entropy+t.l33t_entropy+t.reversed_entropy},START_UPPER:/^[A-Z][^A-Z]+$/,END_UPPER:/^[^A-Z]+[A-Z]$/,ALL_UPPER:/^[^a-z]+$/,ALL_LOWER:/^[^A-Z]+$/,extra_uppercase_entropy:function(t){var e,r,n,a,i,o,h,s,_,c,u,p;if(p=t.token,p.match(this.ALL_LOWER))return 0;for(_=[this.START_UPPER,this.END_UPPER,this.ALL_UPPER],i=0,o=_.length;o>i;i++)if(u=_[i],p.match(u))return 1;for(r=function(){var t,e,r,a;for(r=p.split(""),a=[],e=0,t=r.length;t>e;e++)n=r[e],n.match(/[A-Z]/)&&a.push(n);return a}().length,e=function(){var t,e,r,a;for(r=p.split(""),a=[],e=0,t=r.length;t>e;e++)n=r[e],n.match(/[a-z]/)&&a.push(n);return a}().length,s=0,a=h=1,c=Math.min(r,e);c>=1?c>=h:h>=c;a=c>=1?++h:--h)s+=this.nCk(r+e,a);return this.lg(s)},extra_l33t_entropy:function(t){var e,r,n,a,i,o,h,s,_,c,u,p,l;if(!t.l33t)return 0;i=0,c=t.sub;for(p in c)if(l=c[p],a=t.token.toLowerCase().split(""),e=function(){var t,e,r;for(r=[],t=0,e=a.length;e>t;t++)n=a[t],n===p&&r.push(n);return r}().length,r=function(){var t,e,r;for(r=[],t=0,e=a.length;e>t;t++)n=a[t],n===l&&r.push(n);return r}().length,0===e||0===r)i+=1;else{for(s=Math.min(r,e),_=0,o=h=1,u=s;u>=1?u>=h:h>=u;o=u>=1?++h:--h)_+=this.nCk(r+e,o);i+=this.lg(_)}return 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year"]):[null,"centuries"],a=_[0],i=_[1],null!=a&&1!==a&&(i+="s"),i}},module.exports=scoring; },{"./adjacency_graphs":1}]},{},[3])(3) }); diff --git a/dist/zxcvbn.js.map b/dist/zxcvbn.js.map index 1f0b85e2..9e172c6e 100644 --- a/dist/zxcvbn.js.map +++ b/dist/zxcvbn.js.map @@ -9,7 +9,7 @@ "/Users/dan/zxcvbn/src/scoring.coffee" ], "names": [], - "mappings": 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\"y\": [\"tT\", \"6^\", \"7&\", \"uU\", \"hH\", \"gG\"], \"z\": [null, \"aA\", \"sS\", \"xX\", null, null], \"{\": [\"pP\", \"-_\", \"=+\", \"]}\", \"'\\\"\", \";:\"], \"|\": [\"]}\", null, null, null, null, null], \"}\": [\"[{\", \"=+\", null, \"\\\\|\", null, \"'\\\"\"], \"~\": [null, null, null, \"1!\", null, null]}\n dvorak: {\"!\": [\"`~\", null, null, \"2@\", \"'\\\"\", null], \"\\\"\": [null, \"1!\", \"2@\", \",<\", \"aA\", null], \"#\": [\"2@\", null, null, \"4$\", \".>\", \",<\"], \"$\": [\"3#\", null, null, \"5%\", \"pP\", \".>\"], \"%\": [\"4$\", null, null, \"6^\", \"yY\", \"pP\"], \"&\": [\"6^\", null, null, \"8*\", \"gG\", \"fF\"], \"'\": [null, \"1!\", \"2@\", \",<\", \"aA\", null], \"(\": [\"8*\", null, null, \"0)\", \"rR\", \"cC\"], \")\": [\"9(\", null, null, \"[{\", \"lL\", \"rR\"], \"*\": [\"7&\", null, null, \"9(\", \"cC\", \"gG\"], \"+\": [\"/?\", \"]}\", null, \"\\\\|\", null, \"-_\"], \",\": [\"'\\\"\", \"2@\", \"3#\", \".>\", \"oO\", \"aA\"], \"-\": [\"sS\", 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\"jJ\", null, null], \"R\": [\"cC\", \"9(\", \"0)\", \"lL\", \"nN\", \"tT\"], \"S\": [\"nN\", \"lL\", \"/?\", \"-_\", \"zZ\", \"vV\"], \"T\": [\"hH\", \"cC\", \"rR\", \"nN\", \"wW\", \"mM\"], \"U\": [\"eE\", \"pP\", \"yY\", \"iI\", \"kK\", \"jJ\"], \"V\": [\"wW\", \"nN\", \"sS\", \"zZ\", null, null], \"W\": [\"mM\", \"tT\", \"nN\", \"vV\", null, null], \"X\": [\"kK\", \"iI\", \"dD\", \"bB\", null, null], \"Y\": [\"pP\", \"5%\", \"6^\", \"fF\", \"iI\", \"uU\"], \"Z\": [\"vV\", \"sS\", \"-_\", null, null, null], \"[\": [\"0)\", null, null, \"]}\", \"/?\", \"lL\"], \"\\\\\": [\"=+\", null, null, null, null, null], \"]\": [\"[{\", null, null, null, \"=+\", \"/?\"], \"^\": [\"5%\", null, null, \"7&\", \"fF\", \"yY\"], \"_\": [\"sS\", \"/?\", \"=+\", null, null, \"zZ\"], \"`\": [null, null, null, \"1!\", null, null], \"a\": [null, \"'\\\"\", \",<\", \"oO\", \";:\", null], \"b\": [\"xX\", \"dD\", \"hH\", \"mM\", null, null], \"c\": [\"gG\", \"8*\", \"9(\", \"rR\", \"tT\", \"hH\"], \"d\": [\"iI\", \"fF\", \"gG\", \"hH\", \"bB\", \"xX\"], \"e\": [\"oO\", \".>\", \"pP\", \"uU\", \"jJ\", \"qQ\"], \"f\": [\"yY\", \"6^\", \"7&\", \"gG\", \"dD\", \"iI\"], \"g\": [\"fF\", \"7&\", \"8*\", \"cC\", \"hH\", \"dD\"], \"h\": [\"dD\", \"gG\", \"cC\", \"tT\", \"mM\", \"bB\"], \"i\": [\"uU\", \"yY\", \"fF\", \"dD\", \"xX\", \"kK\"], \"j\": [\"qQ\", \"eE\", \"uU\", \"kK\", null, null], \"k\": [\"jJ\", \"uU\", \"iI\", \"xX\", null, null], \"l\": [\"rR\", \"0)\", \"[{\", \"/?\", \"sS\", \"nN\"], \"m\": [\"bB\", \"hH\", \"tT\", \"wW\", null, null], \"n\": [\"tT\", \"rR\", \"lL\", \"sS\", \"vV\", \"wW\"], \"o\": [\"aA\", \",<\", \".>\", \"eE\", \"qQ\", \";:\"], \"p\": [\".>\", \"4$\", \"5%\", \"yY\", \"uU\", \"eE\"], \"q\": [\";:\", \"oO\", \"eE\", \"jJ\", null, null], \"r\": [\"cC\", \"9(\", \"0)\", \"lL\", \"nN\", \"tT\"], \"s\": [\"nN\", \"lL\", \"/?\", \"-_\", \"zZ\", \"vV\"], \"t\": [\"hH\", \"cC\", \"rR\", \"nN\", \"wW\", \"mM\"], \"u\": [\"eE\", \"pP\", \"yY\", \"iI\", \"kK\", \"jJ\"], \"v\": [\"wW\", \"nN\", \"sS\", \"zZ\", null, null], \"w\": [\"mM\", \"tT\", \"nN\", \"vV\", null, null], \"x\": [\"kK\", \"iI\", \"dD\", \"bB\", null, null], \"y\": [\"pP\", \"5%\", \"6^\", \"fF\", \"iI\", \"uU\"], \"z\": [\"vV\", \"sS\", \"-_\", null, null, null], \"{\": [\"0)\", null, null, \"]}\", \"/?\", \"lL\"], \"|\": [\"=+\", null, null, null, null, null], \"}\": [\"[{\", null, null, null, \"=+\", \"/?\"], \"~\": [null, null, null, \"1!\", null, null]}\n keypad: {\"*\": [\"/\", null, null, null, \"-\", \"+\", \"9\", \"8\"], \"+\": [\"9\", \"*\", \"-\", null, null, null, null, \"6\"], \"-\": [\"*\", null, null, null, null, null, \"+\", \"9\"], \".\": [\"0\", \"2\", \"3\", null, null, null, null, null], \"/\": [null, null, null, null, \"*\", \"9\", \"8\", \"7\"], \"0\": [null, \"1\", \"2\", \"3\", \".\", null, null, null], \"1\": [null, null, \"4\", \"5\", \"2\", \"0\", null, null], \"2\": [\"1\", \"4\", \"5\", \"6\", \"3\", \".\", \"0\", null], \"3\": [\"2\", \"5\", \"6\", null, null, null, \".\", \"0\"], \"4\": [null, null, \"7\", \"8\", \"5\", \"2\", \"1\", null], \"5\": [\"4\", \"7\", \"8\", \"9\", \"6\", \"3\", \"2\", \"1\"], \"6\": [\"5\", \"8\", \"9\", \"+\", null, null, \"3\", \"2\"], \"7\": [null, null, null, \"/\", \"8\", \"5\", \"4\", null], \"8\": [\"7\", null, \"/\", \"*\", \"9\", \"6\", \"5\", \"4\"], \"9\": [\"8\", \"/\", \"*\", \"-\", \"+\", null, \"6\", \"5\"]}\n mac_keypad: {\"*\": [\"/\", null, null, null, null, null, \"-\", \"9\"], \"+\": [\"6\", \"9\", \"-\", null, null, null, null, \"3\"], \"-\": [\"9\", \"/\", \"*\", null, null, null, \"+\", \"6\"], \".\": [\"0\", \"2\", \"3\", null, null, null, null, null], \"/\": [\"=\", null, null, null, \"*\", \"-\", \"9\", \"8\"], \"0\": [null, \"1\", \"2\", \"3\", \".\", null, null, null], \"1\": [null, null, \"4\", \"5\", \"2\", \"0\", null, null], \"2\": [\"1\", \"4\", \"5\", \"6\", \"3\", \".\", \"0\", null], \"3\": [\"2\", \"5\", \"6\", \"+\", null, null, \".\", \"0\"], \"4\": [null, null, \"7\", \"8\", \"5\", \"2\", \"1\", null], \"5\": [\"4\", \"7\", \"8\", \"9\", \"6\", \"3\", \"2\", \"1\"], \"6\": [\"5\", \"8\", \"9\", \"-\", \"+\", null, \"3\", \"2\"], \"7\": [null, null, null, \"=\", \"8\", \"5\", \"4\", null], \"8\": [\"7\", null, \"=\", \"/\", \"9\", \"6\", \"5\", \"4\"], \"9\": [\"8\", \"=\", \"/\", \"*\", \"-\", \"+\", \"6\", \"5\"], \"=\": [null, null, null, null, \"/\", \"9\", \"8\", \"7\"]}\n\nmodule.exports = adjacency_graphs\n", "# generated by scripts/build_frequency_lists.py\nfrequency_lists = \n male_names: \"james,john,robert,michael,william,david,richard,charles,joseph,thomas,christopher,daniel,paul,mark,donald,george,kenneth,steven,edward,brian,ronald,anthony,kevin,jason,matthew,gary,timothy,jose,larry,jeffrey,frank,scott,eric,stephen,andrew,raymond,gregory,joshua,jerry,dennis,walter,patrick,peter,harold,douglas,henry,carl,arthur,ryan,roger,joe,juan,jack,albert,jonathan,justin,terry,gerald,keith,samuel,willie,ralph,lawrence,nicholas,roy,benjamin,bruce,brandon,adam,harry,fred,wayne,billy,steve,louis,jeremy,aaron,randy,eugene,carlos,russell,bobby,victor,ernest,phillip,todd,jesse,craig,alan,shawn,clarence,sean,philip,chris,johnny,earl,jimmy,antonio,danny,bryan,tony,luis,mike,stanley,leonard,nathan,dale,manuel,rodney,curtis,norman,marvin,vincent,glenn,jeffery,travis,jeff,chad,jacob,melvin,alfred,kyle,francis,bradley,jesus,herbert,frederick,ray,joel,edwin,don,eddie,ricky,troy,randall,barry,bernard,mario,leroy,francisco,marcus,micheal,theodore,clifford,miguel,oscar,jay,jim,tom,calvin,alex,jon,ronnie,bill,lloyd,tommy,leon,derek,darrell,jerome,floyd,leo,alvin,tim,wesley,dean,greg,jorge,dustin,pedro,derrick,dan,zachary,corey,herman,maurice,vernon,roberto,clyde,glen,hector,shane,ricardo,sam,rick,lester,brent,ramon,tyler,gilbert,gene,marc,reginald,ruben,brett,angel,nathaniel,rafael,edgar,milton,raul,ben,cecil,duane,andre,elmer,brad,gabriel,ron,roland,jared,adrian,karl,cory,claude,erik,darryl,neil,christian,javier,fernando,clinton,ted,mathew,tyrone,darren,lonnie,lance,cody,julio,kurt,allan,clayton,hugh,max,dwayne,dwight,armando,felix,jimmie,everett,ian,ken,bob,jaime,casey,alfredo,alberto,dave,ivan,johnnie,sidney,byron,julian,isaac,clifton,willard,daryl,virgil,andy,salvador,kirk,sergio,seth,kent,terrance,rene,eduardo,terrence,enrique,freddie,stuart,fredrick,arturo,alejandro,joey,nick,luther,wendell,jeremiah,evan,julius,donnie,otis,trevor,luke,homer,gerard,doug,kenny,hubert,angelo,shaun,lyle,matt,alfonso,orlando,rex,carlton,ernesto,pablo,lorenzo,omar,wilbur,blake,horace,roderick,kerry,abraham,rickey,ira,andres,cesar,johnathan,malcolm,rudolph,damon,kelvin,rudy,preston,alton,archie,marco,wm,pete,randolph,garry,geoffrey,jonathon,felipe,bennie,gerardo,ed,dominic,loren,delbert,colin,guillermo,earnest,benny,noel,rodolfo,myron,edmund,salvatore,cedric,lowell,gregg,sherman,devin,sylvester,roosevelt,israel,jermaine,forrest,wilbert,leland,simon,irving,owen,rufus,woodrow,kristopher,levi,marcos,gustavo,lionel,marty,gilberto,clint,nicolas,laurence,ismael,orville,drew,ervin,dewey,al,wilfred,josh,hugo,ignacio,caleb,tomas,sheldon,erick,frankie,darrel,rogelio,terence,alonzo,elias,bert,elbert,ramiro,conrad,noah,grady,phil,cornelius,lamar,rolando,clay,percy,dexter,bradford,merle,darin,amos,terrell,moses,irvin,saul,roman,darnell,randal,tommie,timmy,darrin,brendan,toby,van,abel,dominick,emilio,elijah,cary,domingo,aubrey,emmett,marlon,emanuel,jerald,edmond,emil,dewayne,otto,teddy,reynaldo,bret,jess,trent,humberto,emmanuel,stephan,louie,vicente,lamont,garland,micah,efrain,heath,rodger,demetrius,ethan,eldon,rocky,pierre,eli,bryce,antoine,robbie,kendall,royce,sterling,grover,elton,cleveland,dylan,chuck,damian,reuben,stan,leonardo,russel,erwin,benito,hans,monte,blaine,ernie,curt,quentin,agustin,jamal,devon,adolfo,tyson,wilfredo,bart,jarrod,vance,denis,damien,joaquin,harlan,desmond,elliot,darwin,gregorio,kermit,roscoe,esteban,anton,solomon,norbert,elvin,nolan,carey,rod,quinton,hal,brain,rob,elwood,kendrick,darius,moises,marlin,fidel,thaddeus,cliff,marcel,ali,raphael,bryon,armand,alvaro,jeffry,dane,joesph,thurman,ned,sammie,rusty,michel,monty,rory,fabian,reggie,kris,isaiah,gus,avery,loyd,diego,adolph,millard,rocco,gonzalo,derick,rodrigo,gerry,rigoberto,alphonso,ty,rickie,noe,vern,elvis,bernardo,mauricio,hiram,donovan,basil,nickolas,scot,vince,quincy,eddy,sebastian,federico,ulysses,heriberto,donnell,denny,gavin,emery,romeo,jayson,dion,dante,clement,coy,odell,jarvis,bruno,issac,dudley,sanford,colby,carmelo,nestor,hollis,stefan,donny,art,linwood,beau,weldon,galen,isidro,truman,delmar,johnathon,silas,frederic,irwin,merrill,charley,marcelino,carlo,trenton,kurtis,aurelio,winfred,vito,collin,denver,leonel,emory,pasquale,mohammad,mariano,danial,landon,dirk,branden,adan,numbers,clair,buford,german,bernie,wilmer,emerson,zachery,jacques,errol,josue,edwardo,wilford,theron,raymundo,daren,tristan,robby,lincoln,jame,genaro,octavio,cornell,hung,arron,antony,herschel,alva,giovanni,garth,cyrus,cyril,ronny,stevie,lon,kennith,carmine,augustine,erich,chadwick,wilburn,russ,myles,jonas,mitchel,mervin,zane,jamel,lazaro,alphonse,randell,major,johnie,jarrett,ariel,abdul,dusty,luciano,seymour,scottie,eugenio,mohammed,valentin,arnulfo,lucien,ferdinand,thad,ezra,aldo,rubin,royal,mitch,earle,abe,marquis,lanny,kareem,jamar,boris,isiah,emile,elmo,aron,leopoldo,everette,josef,eloy,dorian,rodrick,reinaldo,lucio,jerrod,weston,hershel,lemuel,lavern,burt,jules,gil,eliseo,ahmad,nigel,efren,antwan,alden,margarito,refugio,dino,osvaldo,les,deandre,normand,kieth,ivory,trey,norberto,napoleon,jerold,fritz,rosendo,milford,sang,deon,christoper,alfonzo,lyman,josiah,brant,wilton,rico,jamaal,dewitt,brenton,yong,olin,faustino,claudio,judson,gino,edgardo,alec,jarred,donn,trinidad,tad,porfirio,odis,lenard,chauncey,tod,mel,marcelo,kory,augustus,keven,hilario,bud,sal,orval,mauro,dannie,zachariah,olen,anibal,milo,jed,thanh,amado,lenny,tory,richie,horacio,brice,mohamed,delmer,dario,mac,jonah,jerrold,robt,hank,sung,rupert,rolland,kenton,damion,chi,antone,waldo,fredric,bradly,kip,burl,tyree,jefferey,ahmed,willy,stanford,oren,moshe,mikel,enoch,brendon,quintin,jamison,florencio,darrick,tobias,minh,hassan,giuseppe,demarcus,cletus,tyrell,lyndon,keenan,werner,theo,geraldo,columbus,chet,bertram,markus,huey,hilton,dwain,donte,tyron,omer,isaias,hipolito,fermin,chung,adalberto,jamey,teodoro,mckinley,maximo,sol,raleigh,lawerence,abram,rashad,emmitt,daron,chong,samual,otha,miquel,eusebio,dong,domenic,darron,wilber,renato,hoyt,haywood,ezekiel,chas,florentino,elroy,clemente,arden,neville,edison,deshawn,carrol,shayne,nathanial,jordon,danilo,claud,val,sherwood,raymon,rayford,cristobal,ambrose,titus,hyman,felton,ezequiel,erasmo,lonny,len,ike,milan,lino,jarod,herb,andreas,rhett,jude,douglass,cordell,oswaldo,ellsworth,virgilio,toney,nathanael,del,benedict,mose,hong,isreal,garret,fausto,asa,arlen,zack,modesto,francesco,manual,jae,gaylord,gaston,filiberto,deangelo,michale,granville,wes,malik,zackary,tuan,nicky,cristopher,antione,malcom,korey,jospeh,colton,waylon,von,hosea,shad,santo,rudolf,rolf,rey,renaldo,marcellus,lucius,kristofer,harland,arnoldo,rueben,leandro,kraig,jerrell,jeromy,hobert,cedrick,arlie,winford,wally,luigi,keneth,jacinto,graig,franklyn,edmundo,sid,leif,jeramy,willian,vincenzo,shon,michal,lynwood,jere,hai,elden,darell,broderick,alonso\".split(\",\")\n female_names: \"mary,patricia,linda,barbara,elizabeth,jennifer,maria,susan,margaret,dorothy,lisa,nancy,karen,betty,helen,sandra,donna,carol,ruth,sharon,michelle,laura,sarah,kimberly,deborah,jessica,shirley,cynthia,angela,melissa,brenda,amy,anna,rebecca,virginia,kathleen,pamela,martha,debra,amanda,stephanie,carolyn,christine,marie,janet,catherine,frances,ann,joyce,diane,alice,julie,heather,teresa,doris,gloria,evelyn,jean,cheryl,mildred,katherine,joan,ashley,judith,rose,janice,kelly,nicole,judy,christina,kathy,theresa,beverly,denise,tammy,irene,jane,lori,rachel,marilyn,andrea,kathryn,louise,sara,anne,jacqueline,wanda,bonnie,julia,ruby,lois,tina,phyllis,norma,paula,diana,annie,lillian,emily,robin,peggy,crystal,gladys,rita,dawn,connie,florence,tracy,edna,tiffany,carmen,rosa,cindy,grace,wendy,victoria,edith,kim,sherry,sylvia,josephine,thelma,shannon,sheila,ethel,ellen,elaine,marjorie,carrie,charlotte,monica,esther,pauline,emma,juanita,anita,rhonda,hazel,amber,eva,debbie,april,leslie,clara,lucille,jamie,joanne,eleanor,valerie,danielle,megan,alicia,suzanne,michele,gail,bertha,darlene,veronica,jill,erin,geraldine,lauren,cathy,joann,lorraine,lynn,sally,regina,erica,beatrice,dolores,bernice,audrey,yvonne,annette,june,marion,dana,stacy,ana,renee,ida,vivian,roberta,holly,brittany,melanie,loretta,yolanda,jeanette,laurie,katie,kristen,vanessa,alma,sue,elsie,beth,jeanne,vicki,carla,tara,rosemary,eileen,terri,gertrude,lucy,tonya,ella,stacey,wilma,gina,kristin,jessie,natalie,agnes,vera,charlene,bessie,delores,melinda,pearl,arlene,maureen,colleen,allison,tamara,joy,georgia,constance,lillie,claudia,jackie,marcia,tanya,nellie,minnie,marlene,heidi,glenda,lydia,viola,courtney,marian,stella,caroline,dora,jo,vickie,mattie,maxine,irma,mabel,marsha,myrtle,lena,christy,deanna,patsy,hilda,gwendolyn,jennie,nora,margie,nina,cassandra,leah,penny,kay,priscilla,naomi,carole,olga,billie,dianne,tracey,leona,jenny,felicia,sonia,miriam,velma,becky,bobbie,violet,kristina,toni,misty,mae,shelly,daisy,ramona,sherri,erika,katrina,claire,lindsey,lindsay,geneva,guadalupe,belinda,margarita,sheryl,cora,faye,ada,natasha,sabrina,isabel,marguerite,hattie,harriet,molly,cecilia,kristi,brandi,blanche,sandy,rosie,joanna,iris,eunice,angie,inez,lynda,madeline,amelia,alberta,genevieve,monique,jodi,janie,kayla,sonya,jan,kristine,candace,fannie,maryann,opal,alison,yvette,melody,luz,susie,olivia,flora,shelley,kristy,mamie,lula,lola,verna,beulah,antoinette,candice,juana,jeannette,pam,kelli,whitney,bridget,karla,celia,latoya,patty,shelia,gayle,della,vicky,lynne,sheri,marianne,kara,jacquelyn,erma,blanca,myra,leticia,pat,krista,roxanne,angelica,robyn,adrienne,rosalie,alexandra,brooke,bethany,sadie,bernadette,traci,jody,kendra,nichole,rachael,mable,ernestine,muriel,marcella,elena,krystal,angelina,nadine,kari,estelle,dianna,paulette,lora,mona,doreen,rosemarie,desiree,antonia,janis,betsy,christie,freda,meredith,lynette,teri,cristina,eula,leigh,meghan,sophia,eloise,rochelle,gretchen,cecelia,raquel,henrietta,alyssa,jana,gwen,jenna,tricia,laverne,olive,tasha,silvia,elvira,delia,kate,patti,lorena,kellie,sonja,lila,lana,darla,mindy,essie,mandy,lorene,elsa,josefina,jeannie,miranda,dixie,lucia,marta,faith,lela,johanna,shari,camille,tami,shawna,elisa,ebony,melba,ora,nettie,tabitha,ollie,winifred,kristie,marina,alisha,aimee,rena,myrna,marla,tammie,latasha,bonita,patrice,ronda,sherrie,addie,francine,deloris,stacie,adriana,cheri,abigail,celeste,jewel,cara,adele,rebekah,lucinda,dorthy,effie,trina,reba,sallie,aurora,lenora,etta,lottie,kerri,trisha,nikki,estella,francisca,josie,tracie,marissa,karin,brittney,janelle,lourdes,laurel,helene,fern,elva,corinne,kelsey,ina,bettie,elisabeth,aida,caitlin,ingrid,iva,eugenia,christa,goldie,maude,jenifer,therese,dena,lorna,janette,latonya,candy,consuelo,tamika,rosetta,debora,cherie,polly,dina,jewell,fay,jillian,dorothea,nell,trudy,esperanza,patrica,kimberley,shanna,helena,cleo,stefanie,rosario,ola,janine,mollie,lupe,alisa,lou,maribel,susanne,bette,susana,elise,cecile,isabelle,lesley,jocelyn,paige,joni,rachelle,leola,daphne,alta,ester,petra,graciela,imogene,jolene,keisha,lacey,glenna,gabriela,keri,ursula,lizzie,kirsten,shana,adeline,mayra,jayne,jaclyn,gracie,sondra,carmela,marisa,rosalind,charity,tonia,beatriz,marisol,clarice,jeanine,sheena,angeline,frieda,lily,shauna,millie,claudette,cathleen,angelia,gabrielle,autumn,katharine,jodie,staci,lea,christi,justine,elma,luella,margret,dominique,socorro,martina,margo,mavis,callie,bobbi,maritza,lucile,leanne,jeannine,deana,aileen,lorie,ladonna,willa,manuela,gale,selma,dolly,sybil,abby,ivy,dee,winnie,marcy,luisa,jeri,magdalena,ofelia,meagan,audra,matilda,leila,cornelia,bianca,simone,bettye,randi,virgie,latisha,barbra,georgina,eliza,leann,bridgette,rhoda,haley,adela,nola,bernadine,flossie,ila,greta,ruthie,nelda,minerva,lilly,terrie,letha,hilary,estela,valarie,brianna,rosalyn,earline,catalina,ava,mia,clarissa,lidia,corrine,alexandria,concepcion,tia,sharron,rae,dona,ericka,jami,elnora,chandra,lenore,neva,marylou,melisa,tabat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surnames: 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erezny,berdin,beougher,benthin,benhaim,benenati,benejan,bemiss,beloate,bellucci,bellotti,belling,bellido,bellaire,bellafiore,bekins,bekele,beish,behnken,beerly,beddo,becket,becke,bebeau,beauchaine,beaucage,beadling,beacher,bazar,baysmore\".split(\",\")\n passwords: \"password,123456,12345678,1234,qwerty,12345,dragon,pussy,baseball,football,letmein,monkey,696969,abc123,mustang,shadow,master,111111,2000,jordan,superman,harley,1234567,fuckme,hunter,fuckyou,trustno1,ranger,buster,tigger,soccer,fuck,batman,test,pass,killer,hockey,charlie,love,sunshine,asshole,6969,pepper,access,123456789,654321,maggie,starwars,silver,dallas,yankees,123123,666666,hello,orange,biteme,freedom,computer,sexy,thunder,ginger,hammer,summer,corvette,fucker,austin,1111,merlin,121212,golfer,cheese,princess,chelsea,diamond,yellow,bigdog,secret,asdfgh,sparky,cowboy,camaro,matrix,falcon,iloveyou,guitar,purple,scooter,phoenix,aaaaaa,tigers,porsche,mickey,maverick,cookie,nascar,peanut,131313,money,horny,samantha,panties,steelers,snoopy,boomer,whatever,iceman,smokey,gateway,dakota,cowboys,eagles,chicken,dick,black,zxcvbn,ferrari,knight,hardcore,compaq,coffee,booboo,bitch,bulldog,xxxxxx,welcome,player,ncc1701,wizard,scooby,junior,internet,bigdick,brandy,tennis,blowjob,banana,monster,spider,lakers,rabbit,enter,mercedes,fender,yamaha,diablo,boston,tiger,marine,chicago,rangers,gandalf,winter,bigtits,barney,raiders,porn,badboy,blowme,spanky,bigdaddy,chester,london,midnight,blue,fishing,000000,hannah,slayer,11111111,sexsex,redsox,thx1138,asdf,marlboro,panther,zxcvbnm,arsenal,qazwsx,mother,7777777,jasper,winner,golden,butthead,viking,iwantu,angels,prince,cameron,girls,madison,hooters,startrek,captain,maddog,jasmine,butter,booger,golf,rocket,theman,liverpoo,flower,forever,muffin,turtle,sophie,redskins,toyota,sierra,winston,giants,packers,newyork,casper,bubba,112233,lovers,mountain,united,driver,helpme,fucking,pookie,lucky,maxwell,8675309,bear,suckit,gators,5150,222222,shithead,fuckoff,jaguar,hotdog,tits,gemini,lover,xxxxxxxx,777777,canada,florida,88888888,rosebud,metallic,doctor,trouble,success,stupid,tomcat,warrior,peaches,apples,fish,qwertyui,magic,buddy,dolphins,rainbow,gunner,987654,freddy,alexis,braves,cock,2112,1212,cocacola,xavier,dolphin,testing,bond007,member,voodoo,7777,samson,apollo,fire,tester,beavis,voyager,porno,rush2112,beer,apple,scorpio,skippy,sydney,red123,power,beaver,star,jackass,flyers,boobs,232323,zzzzzz,scorpion,doggie,legend,ou812,yankee,blazer,runner,birdie,bitches,555555,topgun,asdfasdf,heaven,viper,animal,2222,bigboy,4444,private,godzilla,lifehack,phantom,rock,august,sammy,cool,platinum,jake,bronco,heka6w2,copper,cumshot,garfield,willow,cunt,slut,69696969,kitten,super,jordan23,eagle1,shelby,america,11111,free,123321,chevy,bullshit,broncos,horney,surfer,nissan,999999,saturn,airborne,elephant,shit,action,adidas,qwert,1313,explorer,police,christin,december,wolf,sweet,therock,online,dickhead,brooklyn,cricket,racing,penis,0000,teens,redwings,dreams,michigan,hentai,magnum,87654321,donkey,trinity,digital,333333,cartman,guinness,123abc,speedy,buffalo,kitty,pimpin,eagle,einstein,nirvana,vampire,xxxx,playboy,pumpkin,snowball,test123,sucker,mexico,beatles,fantasy,celtic,cherry,cassie,888888,sniper,genesis,hotrod,reddog,alexande,college,jester,passw0rd,bigcock,lasvegas,slipknot,3333,death,1q2w3e,eclipse,1q2w3e4r,drummer,montana,music,aaaa,carolina,colorado,creative,hello1,goober,friday,bollocks,scotty,abcdef,bubbles,hawaii,fluffy,horses,thumper,5555,pussies,darkness,asdfghjk,boobies,buddha,sandman,naughty,honda,azerty,6666,shorty,money1,beach,loveme,4321,simple,poohbear,444444,badass,destiny,vikings,lizard,assman,nintendo,123qwe,november,xxxxx,october,leather,bastard,101010,extreme,password1,pussy1,lacrosse,hotmail,spooky,amateur,alaska,badger,paradise,maryjane,poop,mozart,video,vagina,spitfire,cherokee,cougar,420420,horse,enigma,raider,brazil,blonde,55555,dude,drowssap,lovely,1qaz2wsx,booty,snickers,nipples,diesel,rocks,eminem,westside,suzuki,passion,hummer,ladies,alpha,suckme,147147,pirate,semperfi,jupiter,redrum,freeuser,wanker,stinky,ducati,paris,babygirl,windows,spirit,pantera,monday,patches,brutus,smooth,penguin,marley,forest,cream,212121,flash,maximus,nipple,vision,pokemon,champion,fireman,indian,softball,picard,system,cobra,enjoy,lucky1,boogie,marines,security,dirty,admin,wildcats,pimp,dancer,hardon,fucked,abcd1234,abcdefg,ironman,wolverin,freepass,bigred,squirt,justice,hobbes,pearljam,mercury,domino,9999,rascal,hitman,mistress,bbbbbb,peekaboo,naked,budlight,electric,sluts,stargate,saints,bondage,bigman,zombie,swimming,duke,qwerty1,babes,scotland,disney,rooster,mookie,swordfis,hunting,blink182,8888,samsung,bubba1,whore,general,passport,aaaaaaaa,erotic,liberty,arizona,abcd,newport,skipper,rolltide,balls,happy1,galore,christ,weasel,242424,wombat,digger,classic,bulldogs,poopoo,accord,popcorn,turkey,bunny,mouse,007007,titanic,liverpool,dreamer,everton,chevelle,psycho,nemesis,pontiac,connor,eatme,lickme,cumming,ireland,spiderma,patriots,goblue,devils,empire,asdfg,cardinal,shaggy,froggy,qwer,kawasaki,kodiak,phpbb,54321,chopper,hooker,whynot,lesbian,snake,teen,ncc1701d,qqqqqq,airplane,britney,avalon,sugar,sublime,wildcat,raven,scarface,elizabet,123654,trucks,wolfpack,pervert,redhead,american,bambam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english: 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bers,barbatus,baptists,bankrupted,banker's,bamn,bambi's,ballon's,balinese,bakeries,bailiffs,backslide,baby'd,baaad,b'fore,awwwk,aways,awakes,averages,avengers,avatars,autonomous,automotive,automaton,automatics,autism,authoritative,authenticated,authenticate,aught,audition's,aubyn,attired,attagirl,atrophied,atonement,atherton's,asystole,astroturf,assimilated,assimilate,assertiveness,assemblies,assassin's,artiste,article's,artichokes,arsehole,arrears,arquillians,arnie's,aright,archenemy,arched,arcade's,aquatic,apps,appraise,applauded,appendages,appeased,apostle,apollo's,antwerp,antler,antiquity,antin,antidepressant,antibody,anthropologists,anthology,anthea,antagonism,ant's,anspaugh,annually,anka,angola,anesthetics,anda,ancients,anchoring,anaphylactic,anaheim,ana's,amtrak,amscray,amputated,amounted,americas,amended,ambivalence,amalio,amah,altoid,alriiight,alphabetized,alpena,alouette,allowable,allora,alliteration,allenwood,alleging,allegiances,aligning,algerians,alerts,alchemist,alcerro,alastor,airway's,airmen,ahaha,ah'm,agitators,agitation,aforethought,afis,aesthetics,aerospace,aerodynamics,advertises,advert,advantageous,admonition,administration's,adirondacks,adenoids,adebisi's,acupuncturist,acula,actuarial,activators,actionable,acme's,acknowledges,achmed,achingly,acetate,accusers,accumulation,accorded,acclimated,acclimate,absurdly,absorbent,absolvo,absolutes,absences,abraham's,aboriginal,ablaze,abdomenizer,aaaaaaaaah,aaaaaaaaaa,a'right\".split(\",\")\nmodule.exports = frequency_lists\n", "matching = require('./matching')\nscoring = require('./scoring')\n\ntime = -> (new Date()).getTime()\n\nzxcvbn = (password, user_inputs = []) ->\n start = time()\n # reset the user inputs matcher on a per-request basis to keep things stateless\n sanitized_inputs = []\n for arg in user_inputs\n if typeof arg in [\"string\", \"number\", \"boolean\"]\n sanitized_inputs.push arg.toString().toLowerCase()\n matching.set_user_input_dictionary sanitized_inputs\n matches = matching.omnimatch password\n result = scoring.minimum_entropy_match_sequence password, matches\n result.calc_time = time() - start\n result\n\nmodule.exports = zxcvbn\n", - "frequency_lists = require('./frequency_lists')\nadjacency_graphs = require('./adjacency_graphs')\nscoring = require('./scoring')\n\nbuild_ranked_dict = (ordered_list) ->\n result = {}\n i = 1 # rank starts at 1, not 0\n for word in ordered_list\n result[word] = i\n i += 1\n result\n\nRANKED_DICTIONARIES =\n passwords: build_ranked_dict frequency_lists.passwords\n english: build_ranked_dict frequency_lists.english\n surnames: build_ranked_dict frequency_lists.surnames\n male_names: build_ranked_dict frequency_lists.male_names\n female_names: build_ranked_dict frequency_lists.female_names\n\nGRAPHS =\n qwerty: adjacency_graphs.qwerty\n dvorak: adjacency_graphs.dvorak\n keypad: adjacency_graphs.keypad\n mac_keypad: adjacency_graphs.mac_keypad\n\nSEQUENCES =\n lower: 'abcdefghijklmnopqrstuvwxyz'\n upper: 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n digits: '0123456789'\n\nL33T_TABLE =\n a: ['4', '@']\n b: ['8']\n c: ['(', '{', '[', '<']\n e: ['3']\n g: ['6', '9']\n i: ['1', '!', '|']\n l: ['1', '|', '7']\n o: ['0']\n s: ['$', '5']\n t: ['+', '7']\n x: ['%']\n z: ['2']\n\nREGEXEN =\n alpha_lower: /[A-Z]{2,}/g\n alpha_upper: /[a-z]{2,}/g\n alpha: /[a-zA-Z]{2,}/g\n alphanumeric: /[a-zA-Z0-9]{2,}/g\n digits: /\\d{2,}/g\n symbols: /[\\W_]{2,}/g # includes non-latin unicode chars\n recent_year: /19\\d\\d|200\\d|201\\d/g\n\nDATE_MAX_YEAR = 2050\nDATE_MIN_YEAR = 1000\nDATE_SPLITS =\n 4:[ # for length-4 strings, eg 1191 or 9111, two ways to split:\n [1, 2] # 1 1 91 (2nd split starts at index 1, 3rd at index 2)\n [2, 3] # 91 1 1\n ]\n 5:[\n [1, 3] # 1 11 91\n [2, 3] # 11 1 91\n ]\n 6:[\n [1, 2] # 1 1 1991\n [2, 4] # 11 11 91\n [4, 5] # 1991 1 1\n ]\n 7:[\n [1, 3] # 1 11 1991\n [2, 3] # 11 1 1991\n [4, 5] # 1991 1 11\n [4, 6] # 1991 11 1\n ]\n 8:[\n [2, 4] # 11 11 1991\n [4, 6] # 1991 11 11\n ]\n\nmatching =\n empty: (obj) -> (k for k of obj).length == 0\n extend: (lst, lst2) -> lst.push.apply lst, lst2\n translate: (string, chr_map) -> (chr_map[chr] or chr for chr in string.split('')).join('')\n mod: (n, m) -> ((n % m) + m) % m # mod impl that works for negative numbers\n sorted: (matches) ->\n # sort on i primary, j secondary\n matches.sort (m1, m2) ->\n (m1.i - m2.i) or (m1.j - m2.j)\n\n # ------------------------------------------------------------------------------\n # omnimatch -- combine everything ----------------------------------------------\n # ------------------------------------------------------------------------------\n\n omnimatch: (password) ->\n matches = []\n matchers = [\n @dictionary_match\n @l33t_match\n @spatial_match\n @repeat_match\n @sequence_match\n @regex_match\n @date_match\n ]\n for matcher in matchers\n @extend matches, matcher.call(this, password)\n @sorted matches\n\n #-------------------------------------------------------------------------------\n # dictionary match (common passwords, english, last names, etc) ----------------\n #-------------------------------------------------------------------------------\n\n dictionary_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES) ->\n # _ranked_dictionaries variable is for unit testing purposes\n matches = []\n len = password.length\n password_lower = password.toLowerCase()\n for dictionary_name, ranked_dict of _ranked_dictionaries\n for i in [0...len]\n for j in [i...len]\n if password_lower[i..j] of ranked_dict\n word = password_lower[i..j]\n rank = ranked_dict[word]\n matches.push\n pattern: 'dictionary'\n i: i\n j: j\n token: password[i..j]\n matched_word: word\n rank: rank\n dictionary_name: dictionary_name\n @sorted matches\n\n set_user_input_dictionary: (ordered_list) ->\n RANKED_DICTIONARIES['user_inputs'] = build_ranked_dict ordered_list.slice()\n\n #-------------------------------------------------------------------------------\n # dictionary match with common l33t substitutions ------------------------------\n #-------------------------------------------------------------------------------\n\n # makes a pruned copy of l33t_table that only includes password's possible substitutions\n relevant_l33t_subtable: (password, table) ->\n password_chars = {}\n for chr in password.split('')\n password_chars[chr] = true\n subtable = {}\n for letter, subs of table\n relevant_subs = (sub for sub in subs when sub of password_chars)\n if relevant_subs.length > 0\n subtable[letter] = relevant_subs\n subtable\n\n # returns the list of possible 1337 replacement dictionaries for a given password\n enumerate_l33t_subs: (table) ->\n keys = (k for k of table)\n subs = [[]]\n\n dedup = (subs) ->\n deduped = []\n members = {}\n for sub in subs\n assoc = ([k,v] for k,v in sub)\n assoc.sort()\n label = (k+','+v for k,v in assoc).join('-')\n unless label of members\n members[label] = true\n deduped.push sub\n deduped\n\n helper = (keys) ->\n return if not keys.length\n first_key = keys[0]\n rest_keys = keys[1..]\n next_subs = []\n for l33t_chr in table[first_key]\n for sub in subs\n dup_l33t_index = -1\n for i in [0...sub.length]\n if sub[i][0] == l33t_chr\n dup_l33t_index = i\n break\n if dup_l33t_index == -1\n sub_extension = sub.concat [[l33t_chr, first_key]]\n next_subs.push sub_extension\n else\n sub_alternative = sub.slice(0)\n sub_alternative.splice(dup_l33t_index, 1)\n sub_alternative.push [l33t_chr, first_key]\n next_subs.push sub\n next_subs.push sub_alternative\n subs = dedup next_subs\n helper(rest_keys)\n\n helper(keys)\n sub_dicts = [] # convert from assoc lists to dicts\n for sub in subs\n sub_dict = {}\n for [l33t_chr, chr] in sub\n sub_dict[l33t_chr] = chr\n sub_dicts.push sub_dict\n sub_dicts\n\n l33t_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES, _l33t_table = L33T_TABLE) ->\n matches = []\n for sub in @enumerate_l33t_subs @relevant_l33t_subtable(password, _l33t_table)\n break if @empty sub # corner case: password has no relevant subs.\n subbed_password = @translate password, sub\n for match in @dictionary_match(subbed_password, _ranked_dictionaries)\n token = password[match.i..match.j]\n if token.toLowerCase() == match.matched_word\n continue # only return the matches that contain an actual substitution\n match_sub = {} # subset of mappings in sub that are in use for this match\n for subbed_chr, chr of sub when token.indexOf(subbed_chr) != -1\n match_sub[subbed_chr] = chr\n match.l33t = true\n match.token = token\n match.sub = match_sub\n match.sub_display = (\"#{k} -> #{v}\" for k,v of match_sub).join(', ')\n matches.push match\n @sorted matches\n\n # ------------------------------------------------------------------------------\n # spatial match (qwerty/dvorak/keypad) -----------------------------------------\n # ------------------------------------------------------------------------------\n\n spatial_match: (password, _graphs = GRAPHS) ->\n matches = []\n for graph_name, graph of _graphs\n @extend matches, @spatial_match_helper(password, graph, graph_name)\n @sorted matches\n\n SHIFTED_RX: /[~!@#$%^&*()_+QWERTYUIOP{}|ASDFGHJKL:\"ZXCVBNM<>?]/\n spatial_match_helper: (password, graph, graph_name) ->\n matches = []\n i = 0\n while i < password.length - 1\n j = i + 1\n last_direction = null\n turns = 0\n if graph_name in ['qwerty', 'dvorak'] and @SHIFTED_RX.exec(password.charAt(i))\n # initial character is shifted\n shifted_count = 1\n else\n shifted_count = 0\n loop\n prev_char = password.charAt(j-1)\n found = false\n found_direction = -1\n cur_direction = -1\n adjacents = graph[prev_char] or []\n # consider growing pattern by one character if j hasn't gone over the edge.\n if j < password.length\n cur_char = password.charAt(j)\n for adj in adjacents\n cur_direction += 1\n if adj and adj.indexOf(cur_char) != -1\n found = true\n found_direction = cur_direction\n if adj.indexOf(cur_char) == 1\n # index 1 in the adjacency means the key is shifted,\n # 0 means unshifted: A vs a, % vs 5, etc.\n # for example, 'q' is adjacent to the entry '2@'.\n # @ is shifted w/ index 1, 2 is unshifted.\n shifted_count += 1\n if last_direction != found_direction\n # adding a turn is correct even in the initial case when last_direction is null:\n # every spatial pattern starts with a turn.\n turns += 1\n last_direction = found_direction\n break\n # if the current pattern continued, extend j and try to grow again\n if found\n j += 1\n # otherwise push the pattern discovered so far, if any...\n else\n if j - i > 2 # don't consider length 1 or 2 chains.\n matches.push\n pattern: 'spatial'\n i: i\n j: j-1\n token: password[i...j]\n graph: graph_name\n turns: turns\n shifted_count: shifted_count\n # ...and then start a new search for the rest of the password.\n i = j\n break\n matches\n\n #-------------------------------------------------------------------------------\n # repeats (aaa) and sequences (abcdef) -----------------------------------------\n #-------------------------------------------------------------------------------\n\n repeat_match: (password) ->\n min_repeat_length = 3 # TODO allow 2-char repeats?\n matches = []\n i = 0\n while i < password.length\n j = i + 1\n loop\n [prev_char, cur_char] = password[j-1..j]\n if password.charAt(j-1) == password.charAt(j)\n j += 1\n else\n j -= 1\n if j - i + 1 >= min_repeat_length\n matches.push\n pattern: 'repeat'\n i: i\n j: j\n token: password[i..j]\n repeated_char: password.charAt(i)\n break\n i = j + 1\n @sorted matches\n\n sequence_match: (password) ->\n min_sequence_length = 3 # TODO allow 2-char sequences?\n matches = []\n for sequence_name, sequence of SEQUENCES\n for direction in [1, -1]\n i = 0\n while i < password.length\n unless password.charAt(i) in sequence\n i += 1\n continue\n j = i + 1\n sequence_position = sequence.indexOf password.charAt(i)\n while j < password.length\n # mod by sequence length to allow sequences to wrap around: xyzabc\n next_sequence_position = @mod sequence_position + direction, sequence.length\n unless sequence.indexOf(password.charAt(j)) == next_sequence_position\n break\n j += 1\n sequence_position = next_sequence_position\n j -= 1\n if j - i + 1 >= min_sequence_length\n matches.push\n pattern: 'sequence'\n i: i\n j: j\n token: password[i..j]\n sequence_name: sequence_name\n sequence_space: sequence.length\n ascending: direction == 1\n i = j + 1\n @sorted matches\n\n #-------------------------------------------------------------------------------\n # regex matching ---------------------------------------------------------------\n #-------------------------------------------------------------------------------\n\n regex_match: (password, _regexen = REGEXEN) ->\n matches = []\n for name, regex of _regexen\n regex.lastIndex = 0 # keeps regex_match stateless\n while rx_match = regex.exec password\n token = rx_match[0]\n matches.push\n pattern: 'regex'\n token: token\n i: rx_match.index\n j: rx_match.index + rx_match[0].length - 1\n regex_name: name\n regex_match: rx_match\n @sorted matches\n\n #-------------------------------------------------------------------------------\n # date matching ----------------------------------------------------------------\n #-------------------------------------------------------------------------------\n\n date_match: (password) ->\n # a \"date\" is recognized as:\n # any 3-tuple that starts or ends with a 2- or 4-digit year,\n # with 2 or 0 separator chars (1.1.91 or 1191),\n # maybe zero-padded (01-01-91 vs 1-1-91),\n # a month between 1 and 12,\n # a day between 1 and 31.\n #\n # note: this isn't true date parsing in that \"feb 31st\" is allowed,\n # this doesn't check for leap years, etc.\n #\n # recipe:\n # start with regex to find maybe-dates, then attempt to map the integers\n # onto month-day-year to filter the maybe-dates into dates.\n # finally, remove matches that are substrings of other matches to reduce noise.\n #\n # note: instead of using a lazy or greedy regex to find many dates over the full string,\n # this uses a ^...$ regex against every substring of the password -- less performant but leads\n # to every possible date match.\n matches = []\n maybe_date_no_separator = /^\\d{4,8}$/\n maybe_date_with_separator = ///\n ^\n ( \\d{1,4} ) # day, month, year\n ( [\\s/\\\\_.-] ) # separator\n ( \\d{1,2} ) # day, month\n \\2 # same separator\n ( \\d{1,4} ) # day, month, year\n $\n ///\n\n # dates without separators are between length 4 '1191' and 8 '11111991'\n for i in [0..password.length - 4]\n for j in [i + 3..i + 7]\n break if j >= password.length\n token = password[i..j]\n continue unless maybe_date_no_separator.exec token\n candidates = []\n for [k,l] in DATE_SPLITS[token.length]\n dmy = @map_ints_to_dmy [\n parseInt token[0...k]\n parseInt token[k...l]\n parseInt token[l...]\n ]\n candidates.push dmy if dmy?\n continue unless candidates.length > 0\n # at this point: different possible dmy mappings for the same i,j substring.\n # match the candidate date that has smallest entropy: a year closest to 2000.\n # (scoring.REFERENCE_YEAR).\n #\n # ie, considering '111504', prefer 11-15-04 to 1-1-1504\n # (interpreting '04' as 2004)\n best_candidate = candidates[0]\n metric = (candidate) -> Math.abs candidate.year - scoring.REFERENCE_YEAR\n min_distance = metric candidates[0]\n for candidate in candidates[1..]\n distance = metric candidate\n if distance < min_distance\n [best_candidate, min_distance] = [candidate, distance]\n matches.push\n pattern: 'date'\n token: token\n i: i\n j: j\n separator: ''\n year: best_candidate.year\n month: best_candidate.month\n day: best_candidate.day\n\n # dates with separators are between length 6 '1/1/91' and 10 '11/11/1991'\n for i in [0..password.length - 6]\n for j in [i + 5..i + 9]\n break if j >= password.length\n token = password[i..j]\n rx_match = maybe_date_with_separator.exec token\n continue unless rx_match?\n dmy = @map_ints_to_dmy [\n parseInt rx_match[1]\n parseInt rx_match[3]\n parseInt rx_match[4]\n ]\n continue unless dmy?\n matches.push\n pattern: 'date'\n token: token\n i: i\n j: j\n separator: rx_match[2]\n year: dmy.year\n month: dmy.month\n day: dmy.day\n\n # matches now contains all valid date strings in a way that is tricky to capture\n # with regexes only. while thorough, it will contain some unintuitive noise:\n #\n # '2015_06_04', in addition to matching 2015_06_04, will also contain\n # 5(!) other date matches: 15_06_04, 5_06_04, ..., even 2015 (matched as 5/1/2020)\n #\n # to reduce noise, remove date matches that are strict substrings of others\n filtered_matches = []\n for match in matches\n is_submatch = false\n for other_match in matches\n continue if match is other_match\n if other_match.i <= match.i and other_match.j >= match.j\n is_submatch = true\n break\n filtered_matches.push match unless is_submatch\n @sorted filtered_matches\n\n map_ints_to_dmy: (ints) ->\n # given a 3-tuple, discard if:\n # middle int is over 31 (for all dmy formats, years are never allowed in the middle)\n # middle int is zero\n # any int is over the max allowable year\n # any int is over two digits but under the min allowable year\n # 2 ints are over 31, the max allowable day\n # 2 ints are zero\n # all ints are over 12, the max allowable month\n return if ints[1] > 31 or ints[1] <= 0\n over_12 = 0\n over_31 = 0\n under_1 = 0\n for int in ints\n return if 99 < int < DATE_MIN_YEAR or int > DATE_MAX_YEAR\n over_31 += 1 if int > 31\n over_12 += 1 if int > 12\n under_1 += 1 if int <= 0\n return if over_31 >= 2 or over_12 == 3 or under_1 >= 2\n\n # first look for a four digit year: yyyy + daymonth or daymonth + yyyy\n possible_year_splits = [\n [ints[2], ints[0..1]] # year last\n [ints[0], ints[1..2]] # year first\n ]\n for [y, rest] in possible_year_splits\n if DATE_MIN_YEAR <= y <= DATE_MAX_YEAR\n dm = @map_ints_to_dm rest\n if dm?\n return {\n year: y\n month: dm.month\n day: dm.day\n }\n else\n # for a candidate that includes a four-digit year,\n # when the remaining ints don't match to a day and month,\n # it is not a date.\n return\n\n # given no four-digit year, two digit years are the most flexible int to match, so\n # try to parse a day-month out of ints[0..1] or ints[1..0]\n for [y, rest] in possible_year_splits\n dm = @map_ints_to_dm rest\n if dm?\n y = @two_to_four_digit_year y\n return {\n year: y\n month: dm.month\n day: dm.day\n }\n\n map_ints_to_dm: (ints) ->\n for [d, m] in [ints, ints.slice().reverse()]\n if 1 <= d <= 31 and 1 <= m <= 12\n return {\n day: d\n month: m\n }\n\n two_to_four_digit_year: (year) ->\n if year > 99\n year\n else if year > 50\n # 87 -> 1987\n year + scoring.REFERENCE_YEAR - 100\n else\n # 15 -> 2015\n year + scoring.REFERENCE_YEAR\n\nmodule.exports = matching\n", - "adjacency_graphs = require('./adjacency_graphs')\n\n# on qwerty, 'g' has degree 6, being adjacent to 'ftyhbv'. '\\' has degree 1.\n# this calculates the average over all keys.\ncalc_average_degree = (graph) ->\n average = 0\n for key, neighbors of graph\n average += (n for n in neighbors when n).length\n average /= (k for k,v of graph).length\n average\n\nscoring =\n nCk: (n, k) ->\n # http://blog.plover.com/math/choose.html\n return 0 if k > n\n return 1 if k == 0\n r = 1\n for d in [1..k]\n r *= n\n r /= d\n n -= 1\n r\n\n lg: (n) -> Math.log(n) / Math.log(2)\n\n # ------------------------------------------------------------------------------\n # minimum entropy search -------------------------------------------------------\n # ------------------------------------------------------------------------------\n #\n # takes a list of overlapping matches, returns the non-overlapping sublist with\n # minimum entropy. O(nm) dp alg for length-n password with m candidate matches.\n # ------------------------------------------------------------------------------\n\n minimum_entropy_match_sequence: (password, matches) ->\n bruteforce_cardinality = @calc_bruteforce_cardinality password # e.g. 26 for lowercase\n up_to_k = [] # minimum entropy up to k.\n # for the optimal seq of matches up to k, backpointers holds the final match (match.j == k).\n # null means the sequence ends w/ a brute-force character.\n backpointers = []\n for k in [0...password.length]\n # starting scenario to try and beat:\n # adding a brute-force character to the minimum entropy sequence at k-1.\n up_to_k[k] = (up_to_k[k-1] or 0) + @lg bruteforce_cardinality\n backpointers[k] = null\n for match in matches when match.j == k\n [i, j] = [match.i, match.j]\n # see if best entropy up to i-1 + entropy of this match is less than current minimum at j.\n candidate_entropy = (up_to_k[i-1] or 0) + @calc_entropy(match)\n if candidate_entropy < up_to_k[j]\n up_to_k[j] = candidate_entropy\n backpointers[j] = match\n\n # walk backwards and decode the best sequence\n match_sequence = []\n k = password.length - 1\n while k >= 0\n match = backpointers[k]\n if match\n match_sequence.push match\n k = match.i - 1\n else\n k -= 1\n match_sequence.reverse()\n\n # fill in the blanks between pattern matches with bruteforce \"matches\"\n # that way the match sequence fully covers the password:\n # match1.j == match2.i - 1 for every adjacent match1, match2.\n make_bruteforce_match = (i, j) =>\n pattern: 'bruteforce'\n i: i\n j: j\n token: password[i..j]\n entropy: @lg Math.pow(bruteforce_cardinality, j - i + 1)\n cardinality: bruteforce_cardinality\n k = 0\n match_sequence_copy = []\n for match in match_sequence\n [i, j] = [match.i, match.j]\n if i - k > 0\n match_sequence_copy.push make_bruteforce_match(k, i - 1)\n k = j + 1\n match_sequence_copy.push match\n if k < password.length\n match_sequence_copy.push make_bruteforce_match(k, password.length - 1)\n match_sequence = match_sequence_copy\n\n min_entropy = up_to_k[password.length - 1] or 0 # or 0 corner case is for an empty password ''\n crack_time = @entropy_to_crack_time min_entropy\n\n # final result object\n password: password\n entropy: @round_to_x_digits(min_entropy, 3)\n match_sequence: match_sequence\n crack_time: @round_to_x_digits(crack_time, 3)\n crack_time_display: @display_time crack_time\n score: @crack_time_to_score crack_time\n\n round_to_x_digits: (n, x) -> Math.round(n * Math.pow(10, x)) / Math.pow(10, x)\n\n # ------------------------------------------------------------------------------\n # threat model -- stolen hash catastrophe scenario -----------------------------\n # ------------------------------------------------------------------------------\n #\n # assumes:\n # * passwords are stored as salted hashes, different random salt per user.\n # (making rainbow attacks infeasable.)\n # * hashes and salts were stolen. attacker is guessing passwords at max rate.\n # * attacker has several CPUs at their disposal.\n # ------------------------------------------------------------------------------\n\n SECONDS_PER_GUESS: .010 / 100 # single guess time (10ms) over number of cores guessing in parallel\n # for a hash function like bcrypt/scrypt/PBKDF2, 10ms per guess is a safe lower bound.\n # (usually a guess would take longer -- this assumes fast hardware and a small work factor.)\n # adjust for your site accordingly if you use another hash function, possibly by\n # several orders of magnitude!\n\n entropy_to_crack_time: (entropy) ->\n .5 * Math.pow(2, entropy) * @SECONDS_PER_GUESS # .5 for average vs total\n\n crack_time_to_score: (seconds) ->\n return 0 if seconds < Math.pow(10, 2)\n return 1 if seconds < Math.pow(10, 4)\n return 2 if seconds < Math.pow(10, 6)\n return 3 if seconds < Math.pow(10, 8)\n return 4\n\n # ------------------------------------------------------------------------------\n # entropy calcs -- one function per match pattern ------------------------------\n # ------------------------------------------------------------------------------\n\n calc_entropy: (match) ->\n return match.entropy if match.entropy? # a match's entropy doesn't change. cache it.\n entropy_functions =\n dictionary: @dictionary_entropy\n spatial: @spatial_entropy\n repeat: @repeat_entropy\n sequence: @sequence_entropy\n regex: @regex_entropy\n date: @date_entropy\n match.entropy = entropy_functions[match.pattern].call this, match\n\n repeat_entropy: (match) ->\n cardinality = @calc_bruteforce_cardinality match.token\n @lg (cardinality * match.token.length)\n\n sequence_entropy: (match) ->\n first_chr = match.token.charAt(0)\n # lower entropy for obvious starting points\n if first_chr in ['a', 'A', 'z', 'Z', '0', '1', '9']\n base_entropy = 2\n else\n if first_chr.match /\\d/\n base_entropy = @lg(10) # digits\n else if first_chr.match /[a-z]/\n base_entropy = @lg(26) # lower\n else\n base_entropy = @lg(26) + 1 # extra bit for uppercase\n if not match.ascending\n base_entropy += 1 # extra bit for descending instead of ascending\n base_entropy + @lg match.token.length\n\n MIN_YEAR_SPACE: 20\n REFERENCE_YEAR: 2000\n regex_entropy: (match) ->\n char_class_bases =\n alpha_lower: 26\n alpha_upper: 26\n alpha: 52\n alphanumeric: 62\n digits: 10\n symbols: 33\n if match.regex_name of char_class_bases\n @lg Math.pow(char_class_bases[match.regex_name], match.token.length)\n else switch match.regex_name\n when 'recent_year'\n # conservative estimate of year space: num years from REFERENCE_YEAR.\n # if year is close to REFERENCE_YEAR, estimate a year space of MIN_YEAR_SPACE.\n year_space = Math.abs parseInt(match.regex_match[0]) - @REFERENCE_YEAR\n year_space = Math.max year_space, @MIN_YEAR_SPACE\n @lg year_space\n\n date_entropy: (match) ->\n # base entropy: lg of (year distance from REFERENCE_YEAR * num_days * num_years)\n year_space = Math.max(Math.abs(match.year - @REFERENCE_YEAR), @MIN_YEAR_SPACE)\n entropy = @lg(year_space * 31 * 12)\n # add one bit for four-digit years\n entropy += 1 if match.has_full_year\n # add two bits for separator selection (one of ~4 choices)\n entropy += 2 if match.separator\n entropy\n\n KEYBOARD_AVERAGE_DEGREE: calc_average_degree(adjacency_graphs.qwerty)\n # slightly different for keypad/mac keypad, but close enough\n KEYPAD_AVERAGE_DEGREE: calc_average_degree(adjacency_graphs.keypad)\n\n KEYBOARD_STARTING_POSITIONS: (k for k,v of adjacency_graphs.qwerty).length\n KEYPAD_STARTING_POSITIONS: (k for k,v of adjacency_graphs.keypad).length\n\n spatial_entropy: (match) ->\n if match.graph in ['qwerty', 'dvorak']\n s = @KEYBOARD_STARTING_POSITIONS\n d = @KEYBOARD_AVERAGE_DEGREE\n else\n s = @KEYPAD_STARTING_POSITIONS\n d = @KEYPAD_AVERAGE_DEGREE\n possibilities = 0\n L = match.token.length\n t = match.turns\n # estimate the number of possible patterns w/ length L or less with t turns or less.\n for i in [2..L]\n possible_turns = Math.min(t, i - 1)\n for j in [1..possible_turns]\n possibilities += @nCk(i - 1, j - 1) * s * Math.pow(d, j)\n entropy = @lg possibilities\n # add extra entropy for shifted keys. (% instead of 5, A instead of a.)\n # math is similar to extra entropy of l33t substitutions in dictionary matches.\n if match.shifted_count\n S = match.shifted_count\n U = match.token.length - match.shifted_count # unshifted count\n if U == 0\n entropy += 1\n else\n possibilities = 0\n possibilities += @nCk(S + U, i) for i in [1..Math.min(S, U)]\n entropy += @lg possibilities\n entropy\n\n dictionary_entropy: (match) ->\n match.base_entropy = @lg match.rank # keep these as properties for display purposes\n match.uppercase_entropy = @extra_uppercase_entropy match\n match.l33t_entropy = @extra_l33t_entropy match\n match.base_entropy + match.uppercase_entropy + match.l33t_entropy\n\n START_UPPER: /^[A-Z][^A-Z]+$/\n END_UPPER: /^[^A-Z]+[A-Z]$/\n ALL_UPPER: /^[^a-z]+$/\n ALL_LOWER: /^[^A-Z]+$/\n\n extra_uppercase_entropy: (match) ->\n word = match.token\n return 0 if word.match @ALL_LOWER\n # a capitalized word is the most common capitalization scheme,\n # so it only doubles the search space (uncapitalized + capitalized): 1 extra bit of entropy.\n # allcaps and end-capitalized are common enough too, underestimate as 1 extra bit to be safe.\n for regex in [@START_UPPER, @END_UPPER, @ALL_UPPER]\n return 1 if word.match regex\n # otherwise calculate the number of ways to capitalize U+L uppercase+lowercase letters\n # with U uppercase letters or less. or, if there's more uppercase than lower (for eg. PASSwORD),\n # the number of ways to lowercase U+L letters with L lowercase letters or less.\n U = (chr for chr in word.split('') when chr.match /[A-Z]/).length\n L = (chr for chr in word.split('') when chr.match /[a-z]/).length\n possibilities = 0\n possibilities += @nCk(U + L, i) for i in [1..Math.min(U, L)]\n @lg possibilities\n\n extra_l33t_entropy: (match) ->\n return 0 if not match.l33t\n extra_entropy = 0\n for subbed, unsubbed of match.sub\n # lower-case match.token before calculating: capitalization shouldn't affect l33t calc.\n chrs = match.token.toLowerCase().split('')\n S = (chr for chr in chrs when chr == subbed).length # num of subbed chars\n U = (chr for chr in chrs when chr == unsubbed).length # num of unsubbed chars\n if S == 0 or U == 0\n # for this sub, password is either fully subbed (444) or fully unsubbed (aaa)\n # treat that as doubling the space (attacker needs to try fully subbed chars in addition to\n # unsubbed.)\n extra_entropy += 1\n else\n # this case is similar to capitalization:\n # with aa44a, U = 3, S = 2, attacker needs to try unsubbed + one sub + two subs\n p = Math.min(U, S)\n possibilities = 0\n possibilities += @nCk(U + S, i) for i in [1..p]\n extra_entropy += @lg possibilities\n extra_entropy\n\n # utilities --------------------------------------------------------------------\n\n calc_bruteforce_cardinality: (password) ->\n [lower, upper, digits, symbols, latin1_symbols, latin1_letters] = (\n false for i in [0...6]\n )\n unicode_codepoints = []\n for chr in password.split('')\n ord = chr.charCodeAt(0)\n if 0x30 <= ord <= 0x39\n digits = true\n else if 0x41 <= ord <= 0x5a\n upper = true\n else if 0x61 <= ord <= 0x7a\n lower = true\n else if ord <= 0x7f\n symbols = true\n else if 0x80 <= ord <= 0xBF\n latin1_symbols = true\n else if 0xC0 <= ord <= 0xFF\n latin1_letters = true\n else if ord > 0xFF\n unicode_codepoints.push ord\n c = 0\n c += 10 if digits\n c += 26 if upper\n c += 26 if lower\n c += 33 if symbols\n c += 64 if latin1_symbols\n c += 64 if latin1_letters\n if unicode_codepoints.length\n min_cp = max_cp = unicode_codepoints[0]\n for cp in unicode_codepoints[1..]\n min_cp = cp if cp < min_cp\n max_cp = cp if cp > max_cp\n # if the range between unicode codepoints is small,\n # assume one extra alphabet is in use (eg cyrillic, korean) and add a ballpark +40\n #\n # if the range is large, be very conservative and add +100 instead of the range.\n # (codepoint distance between chinese chars can be many thousand, for example,\n # but that cardinality boost won't be justified if the characters are common.)\n range = max_cp - min_cp + 1\n range = 40 if range < 40\n range = 100 if range > 100\n c += range\n c\n\n display_time: (seconds) ->\n minute = 60\n hour = minute * 60\n day = hour * 24\n month = day * 31\n year = month * 12\n century = year * 100\n [display_num, display_str] = if seconds < minute\n [seconds, \"#{seconds} second\"]\n else if seconds < hour\n base = Math.round seconds / minute\n [base, \"#{base} minute\"]\n else if seconds < day\n base = Math.round seconds / hour\n [base, \"#{base} hour\"]\n else if seconds < month\n base = Math.round seconds / day\n [base, \"#{base} day\"]\n else if seconds < year\n base = Math.round seconds / month\n [base, \"#{base} month\"]\n else if seconds < century\n base = Math.round seconds / year\n [base, \"#{base} year\"]\n else\n [null, 'centuries']\n display_str += 's' if display_num? and display_num != 1\n display_str\n\n\nmodule.exports = scoring\n" + "frequency_lists = require('./frequency_lists')\nadjacency_graphs = require('./adjacency_graphs')\nscoring = require('./scoring')\n\nbuild_ranked_dict = (ordered_list) ->\n result = {}\n i = 1 # rank starts at 1, not 0\n for word in ordered_list\n result[word] = i\n i += 1\n result\n\nRANKED_DICTIONARIES =\n passwords: build_ranked_dict frequency_lists.passwords\n english: build_ranked_dict frequency_lists.english\n surnames: build_ranked_dict frequency_lists.surnames\n male_names: build_ranked_dict frequency_lists.male_names\n female_names: build_ranked_dict frequency_lists.female_names\n\nGRAPHS =\n qwerty: adjacency_graphs.qwerty\n dvorak: adjacency_graphs.dvorak\n keypad: adjacency_graphs.keypad\n mac_keypad: adjacency_graphs.mac_keypad\n\nSEQUENCES =\n lower: 'abcdefghijklmnopqrstuvwxyz'\n upper: 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n digits: '0123456789'\n\nL33T_TABLE =\n a: ['4', '@']\n b: ['8']\n c: ['(', '{', '[', '<']\n e: ['3']\n g: ['6', '9']\n i: ['1', '!', '|']\n l: ['1', '|', '7']\n o: ['0']\n s: ['$', '5']\n t: ['+', '7']\n x: ['%']\n z: ['2']\n\nREGEXEN =\n alphanumeric: /[a-zA-Z0-9]{2,}/g\n alpha: /[a-zA-Z]{2,}/g\n alpha_lower: /[a-z]{2,}/g\n alpha_upper: /[A-Z]{2,}/g\n digits: /\\d{2,}/g\n symbols: /[\\W_]{2,}/g # includes non-latin unicode chars\n recent_year: /19\\d\\d|200\\d|201\\d/g\n\nREGEX_PRECEDENCE =\n alphanumeric: 0\n alpha: 1\n alpha_lower: 2\n alpha_upper: 2\n digits: 2\n symbols: 2\n recent_year: 3\n\nDATE_MAX_YEAR = 2050\nDATE_MIN_YEAR = 1000\nDATE_SPLITS =\n 4:[ # for length-4 strings, eg 1191 or 9111, two ways to split:\n [1, 2] # 1 1 91 (2nd split starts at index 1, 3rd at index 2)\n [2, 3] # 91 1 1\n ]\n 5:[\n [1, 3] # 1 11 91\n [2, 3] # 11 1 91\n ]\n 6:[\n [1, 2] # 1 1 1991\n [2, 4] # 11 11 91\n [4, 5] # 1991 1 1\n ]\n 7:[\n [1, 3] # 1 11 1991\n [2, 3] # 11 1 1991\n [4, 5] # 1991 1 11\n [4, 6] # 1991 11 1\n ]\n 8:[\n [2, 4] # 11 11 1991\n [4, 6] # 1991 11 11\n ]\n\nmatching =\n empty: (obj) -> (k for k of obj).length == 0\n extend: (lst, lst2) -> lst.push.apply lst, lst2\n translate: (string, chr_map) -> (chr_map[chr] or chr for chr in string.split('')).join('')\n mod: (n, m) -> ((n % m) + m) % m # mod impl that works for negative numbers\n sorted: (matches) ->\n # sort on i primary, j secondary\n matches.sort (m1, m2) ->\n (m1.i - m2.i) or (m1.j - m2.j)\n\n # ------------------------------------------------------------------------------\n # omnimatch -- combine everything ----------------------------------------------\n # ------------------------------------------------------------------------------\n\n omnimatch: (password) ->\n matches = []\n matchers = [\n @dictionary_match\n @reverse_dictionary_match\n @l33t_match\n @spatial_match\n @repeat_match\n @sequence_match\n @regex_match\n @date_match\n ]\n for matcher in matchers\n @extend matches, matcher.call(this, password)\n @sorted matches\n\n #-------------------------------------------------------------------------------\n # dictionary match (common passwords, english, last names, etc) ----------------\n #-------------------------------------------------------------------------------\n\n dictionary_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES) ->\n # _ranked_dictionaries variable is for unit testing purposes\n matches = []\n len = password.length\n password_lower = password.toLowerCase()\n for dictionary_name, ranked_dict of _ranked_dictionaries\n for i in [0...len]\n for j in [i...len]\n if password_lower[i..j] of ranked_dict\n word = password_lower[i..j]\n rank = ranked_dict[word]\n matches.push\n pattern: 'dictionary'\n i: i\n j: j\n token: password[i..j]\n matched_word: word\n rank: rank\n dictionary_name: dictionary_name\n reversed: false\n @sorted matches\n\n reverse_dictionary_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES) ->\n reversed_password = password.split('').reverse().join('')\n matches = @dictionary_match reversed_password, _ranked_dictionaries\n for match in matches\n match.token = match.token.split('').reverse().join('') # reverse back\n match.reversed = true\n # map coordinates back to original string\n [match.i, match.j] = [\n password.length - 1 - match.j\n password.length - 1 - match.i\n ]\n @sorted matches\n\n set_user_input_dictionary: (ordered_list) ->\n RANKED_DICTIONARIES['user_inputs'] = build_ranked_dict ordered_list.slice()\n\n #-------------------------------------------------------------------------------\n # dictionary match with common l33t substitutions ------------------------------\n #-------------------------------------------------------------------------------\n\n # makes a pruned copy of l33t_table that only includes password's possible substitutions\n relevant_l33t_subtable: (password, table) ->\n password_chars = {}\n for chr in password.split('')\n password_chars[chr] = true\n subtable = {}\n for letter, subs of table\n relevant_subs = (sub for sub in subs when sub of password_chars)\n if relevant_subs.length > 0\n subtable[letter] = relevant_subs\n subtable\n\n # returns the list of possible 1337 replacement dictionaries for a given password\n enumerate_l33t_subs: (table) ->\n keys = (k for k of table)\n subs = [[]]\n\n dedup = (subs) ->\n deduped = []\n members = {}\n for sub in subs\n assoc = ([k,v] for k,v in sub)\n assoc.sort()\n label = (k+','+v for k,v in assoc).join('-')\n unless label of members\n members[label] = true\n deduped.push sub\n deduped\n\n helper = (keys) ->\n return if not keys.length\n first_key = keys[0]\n rest_keys = keys[1..]\n next_subs = []\n for l33t_chr in table[first_key]\n for sub in subs\n dup_l33t_index = -1\n for i in [0...sub.length]\n if sub[i][0] == l33t_chr\n dup_l33t_index = i\n break\n if dup_l33t_index == -1\n sub_extension = sub.concat [[l33t_chr, first_key]]\n next_subs.push sub_extension\n else\n sub_alternative = sub.slice(0)\n sub_alternative.splice(dup_l33t_index, 1)\n sub_alternative.push [l33t_chr, first_key]\n next_subs.push sub\n next_subs.push sub_alternative\n subs = dedup next_subs\n helper(rest_keys)\n\n helper(keys)\n sub_dicts = [] # convert from assoc lists to dicts\n for sub in subs\n sub_dict = {}\n for [l33t_chr, chr] in sub\n sub_dict[l33t_chr] = chr\n sub_dicts.push sub_dict\n sub_dicts\n\n l33t_match: (password, _ranked_dictionaries = RANKED_DICTIONARIES, _l33t_table = L33T_TABLE) ->\n matches = []\n for sub in @enumerate_l33t_subs @relevant_l33t_subtable(password, _l33t_table)\n break if @empty sub # corner case: password has no relevant subs.\n subbed_password = @translate password, sub\n for match in @dictionary_match(subbed_password, _ranked_dictionaries)\n token = password[match.i..match.j]\n if token.toLowerCase() == match.matched_word\n continue # only return the matches that contain an actual substitution\n match_sub = {} # subset of mappings in sub that are in use for this match\n for subbed_chr, chr of sub when token.indexOf(subbed_chr) != -1\n match_sub[subbed_chr] = chr\n match.l33t = true\n match.token = token\n match.sub = match_sub\n match.sub_display = (\"#{k} -> #{v}\" for k,v of match_sub).join(', ')\n matches.push match\n @sorted matches\n\n # ------------------------------------------------------------------------------\n # spatial match (qwerty/dvorak/keypad) -----------------------------------------\n # ------------------------------------------------------------------------------\n\n spatial_match: (password, _graphs = GRAPHS) ->\n matches = []\n for graph_name, graph of _graphs\n @extend matches, @spatial_match_helper(password, graph, graph_name)\n @sorted matches\n\n SHIFTED_RX: /[~!@#$%^&*()_+QWERTYUIOP{}|ASDFGHJKL:\"ZXCVBNM<>?]/\n spatial_match_helper: (password, graph, graph_name) ->\n matches = []\n i = 0\n while i < password.length - 1\n j = i + 1\n last_direction = null\n turns = 0\n if graph_name in ['qwerty', 'dvorak'] and @SHIFTED_RX.exec(password.charAt(i))\n # initial character is shifted\n shifted_count = 1\n else\n shifted_count = 0\n loop\n prev_char = password.charAt(j-1)\n found = false\n found_direction = -1\n cur_direction = -1\n adjacents = graph[prev_char] or []\n # consider growing pattern by one character if j hasn't gone over the edge.\n if j < password.length\n cur_char = password.charAt(j)\n for adj in adjacents\n cur_direction += 1\n if adj and adj.indexOf(cur_char) != -1\n found = true\n found_direction = cur_direction\n if adj.indexOf(cur_char) == 1\n # index 1 in the adjacency means the key is shifted,\n # 0 means unshifted: A vs a, % vs 5, etc.\n # for example, 'q' is adjacent to the entry '2@'.\n # @ is shifted w/ index 1, 2 is unshifted.\n shifted_count += 1\n if last_direction != found_direction\n # adding a turn is correct even in the initial case when last_direction is null:\n # every spatial pattern starts with a turn.\n turns += 1\n last_direction = found_direction\n break\n # if the current pattern continued, extend j and try to grow again\n if found\n j += 1\n # otherwise push the pattern discovered so far, if any...\n else\n if j - i > 2 # don't consider length 1 or 2 chains.\n matches.push\n pattern: 'spatial'\n i: i\n j: j-1\n token: password[i...j]\n graph: graph_name\n turns: turns\n shifted_count: shifted_count\n # ...and then start a new search for the rest of the password.\n i = j\n break\n matches\n\n #-------------------------------------------------------------------------------\n # repeats (aaa, abcabcabc) and sequences (abcdef) ------------------------------\n #-------------------------------------------------------------------------------\n\n repeat_match: (password) ->\n matches = []\n greedy = /(.+)\\1+/g\n lazy = /(.+?)\\1+/g\n lazy_anchored = /^(.+?)\\1+$/\n lastIndex = 0\n while lastIndex < password.length\n greedy.lastIndex = lazy.lastIndex = lastIndex\n greedy_match = greedy.exec password\n lazy_match = lazy.exec password\n break unless greedy_match?\n if greedy_match[0].length > lazy_match[0].length\n # greedy beats lazy for 'aabaab'\n # greedy: [aabaab, aab]\n # lazy: [aa, a]\n match = greedy_match\n # greedy's repeated string might itself be repeated, eg.\n # aabaab in aabaabaabaab.\n # run an anchored lazy match on greedy's repeated string\n # to find the shortest repeated string\n base_token = lazy_anchored.exec(match[0])[1]\n else\n # lazy beats greedy for 'aaaaa'\n # greedy: [aaaa, aa]\n # lazy: [aaaaa, a]\n match = lazy_match\n base_token = match[1]\n [i, j] = [match.index, match.index + match[0].length - 1]\n # recursively match and score the base string\n base_analysis = scoring.minimum_entropy_match_sequence(\n base_token\n @omnimatch base_token\n )\n base_matches = base_analysis.match_sequence\n base_entropy = base_analysis.entropy\n matches.push\n pattern: 'repeat'\n i: i\n j: j\n token: match[0]\n base_token: base_token\n base_entropy: base_entropy\n base_matches: base_matches\n lastIndex = j + 1\n matches\n\n sequence_match: (password) ->\n min_sequence_length = 3 # TODO allow 2-char sequences?\n matches = []\n for sequence_name, sequence of SEQUENCES\n for direction in [1, -1]\n i = 0\n while i < password.length\n unless password.charAt(i) in sequence\n i += 1\n continue\n j = i + 1\n sequence_position = sequence.indexOf password.charAt(i)\n while j < password.length\n # mod by sequence length to allow sequences to wrap around: xyzabc\n next_sequence_position = @mod sequence_position + direction, sequence.length\n unless sequence.indexOf(password.charAt(j)) == next_sequence_position\n break\n j += 1\n sequence_position = next_sequence_position\n j -= 1\n if j - i + 1 >= min_sequence_length\n matches.push\n pattern: 'sequence'\n i: i\n j: j\n token: password[i..j]\n sequence_name: sequence_name\n sequence_space: sequence.length\n ascending: direction == 1\n i = j + 1\n @sorted matches\n\n #-------------------------------------------------------------------------------\n # regex matching ---------------------------------------------------------------\n #-------------------------------------------------------------------------------\n\n regex_match: (password, _regexen = REGEXEN) ->\n matches = []\n for name, regex of _regexen\n regex.lastIndex = 0 # keeps regex_match stateless\n while rx_match = regex.exec password\n token = rx_match[0]\n matches.push\n pattern: 'regex'\n token: token\n i: rx_match.index\n j: rx_match.index + rx_match[0].length - 1\n regex_name: name\n regex_match: rx_match\n # currently, match list includes a bunch of redundancies:\n # ex for every alpha_lower match, also an alpha and alphanumeric match of the same [i,j].\n # ex for every recent_year match, also an alphanumeric match and digits match.\n # use precedence to filter these redundancies out.\n precedence_map = {} # maps from 'i-j' to current highest precedence\n get_key = (match) -> \"#{match.i}-#{match.j}\"\n for match in matches\n key = get_key match\n precedence = REGEX_PRECEDENCE[match.regex_name]\n if key of precedence_map\n highest_precedence = precedence_map[key]\n continue if highest_precedence >= precedence\n precedence_map[key] = precedence\n @sorted matches.filter (match) ->\n precedence_map[get_key(match)] == REGEX_PRECEDENCE[match.regex_name]\n\n #-------------------------------------------------------------------------------\n # date matching ----------------------------------------------------------------\n #-------------------------------------------------------------------------------\n\n date_match: (password) ->\n # a \"date\" is recognized as:\n # any 3-tuple that starts or ends with a 2- or 4-digit year,\n # with 2 or 0 separator chars (1.1.91 or 1191),\n # maybe zero-padded (01-01-91 vs 1-1-91),\n # a month between 1 and 12,\n # a day between 1 and 31.\n #\n # note: this isn't true date parsing in that \"feb 31st\" is allowed,\n # this doesn't check for leap years, etc.\n #\n # recipe:\n # start with regex to find maybe-dates, then attempt to map the integers\n # onto month-day-year to filter the maybe-dates into dates.\n # finally, remove matches that are substrings of other matches to reduce noise.\n #\n # note: instead of using a lazy or greedy regex to find many dates over the full string,\n # this uses a ^...$ regex against every substring of the password -- less performant but leads\n # to every possible date match.\n matches = []\n maybe_date_no_separator = /^\\d{4,8}$/\n maybe_date_with_separator = ///\n ^\n ( \\d{1,4} ) # day, month, year\n ( [\\s/\\\\_.-] ) # separator\n ( \\d{1,2} ) # day, month\n \\2 # same separator\n ( \\d{1,4} ) # day, month, year\n $\n ///\n\n # dates without separators are between length 4 '1191' and 8 '11111991'\n for i in [0..password.length - 4]\n for j in [i + 3..i + 7]\n break if j >= password.length\n token = password[i..j]\n continue unless maybe_date_no_separator.exec token\n candidates = []\n for [k,l] in DATE_SPLITS[token.length]\n dmy = @map_ints_to_dmy [\n parseInt token[0...k]\n parseInt token[k...l]\n parseInt token[l...]\n ]\n candidates.push dmy if dmy?\n continue unless candidates.length > 0\n # at this point: different possible dmy mappings for the same i,j substring.\n # match the candidate date that has smallest entropy: a year closest to 2000.\n # (scoring.REFERENCE_YEAR).\n #\n # ie, considering '111504', prefer 11-15-04 to 1-1-1504\n # (interpreting '04' as 2004)\n best_candidate = candidates[0]\n metric = (candidate) -> Math.abs candidate.year - scoring.REFERENCE_YEAR\n min_distance = metric candidates[0]\n for candidate in candidates[1..]\n distance = metric candidate\n if distance < min_distance\n [best_candidate, min_distance] = [candidate, distance]\n matches.push\n pattern: 'date'\n token: token\n i: i\n j: j\n separator: ''\n year: best_candidate.year\n month: best_candidate.month\n day: best_candidate.day\n\n # dates with separators are between length 6 '1/1/91' and 10 '11/11/1991'\n for i in [0..password.length - 6]\n for j in [i + 5..i + 9]\n break if j >= password.length\n token = password[i..j]\n rx_match = maybe_date_with_separator.exec token\n continue unless rx_match?\n dmy = @map_ints_to_dmy [\n parseInt rx_match[1]\n parseInt rx_match[3]\n parseInt rx_match[4]\n ]\n continue unless dmy?\n matches.push\n pattern: 'date'\n token: token\n i: i\n j: j\n separator: rx_match[2]\n year: dmy.year\n month: dmy.month\n day: dmy.day\n\n # matches now contains all valid date strings in a way that is tricky to capture\n # with regexes only. while thorough, it will contain some unintuitive noise:\n #\n # '2015_06_04', in addition to matching 2015_06_04, will also contain\n # 5(!) other date matches: 15_06_04, 5_06_04, ..., even 2015 (matched as 5/1/2020)\n #\n # to reduce noise, remove date matches that are strict substrings of others\n @sorted matches.filter (match) ->\n is_submatch = false\n for other_match in matches\n continue if match is other_match\n if other_match.i <= match.i and other_match.j >= match.j\n is_submatch = true\n break\n not is_submatch\n\n map_ints_to_dmy: (ints) ->\n # given a 3-tuple, discard if:\n # middle int is over 31 (for all dmy formats, years are never allowed in the middle)\n # middle int is zero\n # any int is over the max allowable year\n # any int is over two digits but under the min allowable year\n # 2 ints are over 31, the max allowable day\n # 2 ints are zero\n # all ints are over 12, the max allowable month\n return if ints[1] > 31 or ints[1] <= 0\n over_12 = 0\n over_31 = 0\n under_1 = 0\n for int in ints\n return if 99 < int < DATE_MIN_YEAR or int > DATE_MAX_YEAR\n over_31 += 1 if int > 31\n over_12 += 1 if int > 12\n under_1 += 1 if int <= 0\n return if over_31 >= 2 or over_12 == 3 or under_1 >= 2\n\n # first look for a four digit year: yyyy + daymonth or daymonth + yyyy\n possible_year_splits = [\n [ints[2], ints[0..1]] # year last\n [ints[0], ints[1..2]] # year first\n ]\n for [y, rest] in possible_year_splits\n if DATE_MIN_YEAR <= y <= DATE_MAX_YEAR\n dm = @map_ints_to_dm rest\n if dm?\n return {\n year: y\n month: dm.month\n day: dm.day\n }\n else\n # for a candidate that includes a four-digit year,\n # when the remaining ints don't match to a day and month,\n # it is not a date.\n return\n\n # given no four-digit year, two digit years are the most flexible int to match, so\n # try to parse a day-month out of ints[0..1] or ints[1..0]\n for [y, rest] in possible_year_splits\n dm = @map_ints_to_dm rest\n if dm?\n y = @two_to_four_digit_year y\n return {\n year: y\n month: dm.month\n day: dm.day\n }\n\n map_ints_to_dm: (ints) ->\n for [d, m] in [ints, ints.slice().reverse()]\n if 1 <= d <= 31 and 1 <= m <= 12\n return {\n day: d\n month: m\n }\n\n two_to_four_digit_year: (year) ->\n if year > 99\n year\n else if year > 50\n # 87 -> 1987\n year + scoring.REFERENCE_YEAR - 100\n else\n # 15 -> 2015\n year + scoring.REFERENCE_YEAR\n\nmodule.exports = matching\n", + "adjacency_graphs = require('./adjacency_graphs')\n\n# on qwerty, 'g' has degree 6, being adjacent to 'ftyhbv'. '\\' has degree 1.\n# this calculates the average over all keys.\ncalc_average_degree = (graph) ->\n average = 0\n for key, neighbors of graph\n average += (n for n in neighbors when n).length\n average /= (k for k,v of graph).length\n average\n\nscoring =\n nCk: (n, k) ->\n # http://blog.plover.com/math/choose.html\n return 0 if k > n\n return 1 if k == 0\n r = 1\n for d in [1..k]\n r *= n\n r /= d\n n -= 1\n r\n\n lg: (n) -> Math.log(n) / Math.log(2)\n\n # ------------------------------------------------------------------------------\n # minimum entropy search -------------------------------------------------------\n # ------------------------------------------------------------------------------\n #\n # takes a list of overlapping matches, returns the non-overlapping sublist with\n # minimum entropy. O(nm) dp alg for length-n password with m candidate matches.\n # ------------------------------------------------------------------------------\n\n minimum_entropy_match_sequence: (password, matches) ->\n bruteforce_cardinality = @calc_bruteforce_cardinality password # e.g. 26 for lowercase\n up_to_k = [] # minimum entropy up to k.\n # for the optimal seq of matches up to k, backpointers holds the final match (match.j == k).\n # null means the sequence ends w/ a brute-force character.\n backpointers = []\n for k in [0...password.length]\n # starting scenario to try and beat:\n # adding a brute-force character to the minimum entropy sequence at k-1.\n up_to_k[k] = (up_to_k[k-1] or 0) + @lg bruteforce_cardinality\n backpointers[k] = null\n for match in matches when match.j == k\n [i, j] = [match.i, match.j]\n # see if best entropy up to i-1 + entropy of this match is less than current minimum at j.\n candidate_entropy = (up_to_k[i-1] or 0) + @calc_entropy(match)\n if candidate_entropy < up_to_k[j]\n up_to_k[j] = candidate_entropy\n backpointers[j] = match\n\n # walk backwards and decode the best sequence\n match_sequence = []\n k = password.length - 1\n while k >= 0\n match = backpointers[k]\n if match\n match_sequence.push match\n k = match.i - 1\n else\n k -= 1\n match_sequence.reverse()\n\n # fill in the blanks between pattern matches with bruteforce \"matches\"\n # that way the match sequence fully covers the password:\n # match1.j == match2.i - 1 for every adjacent match1, match2.\n make_bruteforce_match = (i, j) =>\n pattern: 'bruteforce'\n i: i\n j: j\n token: password[i..j]\n entropy: @lg Math.pow(bruteforce_cardinality, j - i + 1)\n cardinality: bruteforce_cardinality\n k = 0\n match_sequence_copy = []\n for match in match_sequence\n [i, j] = [match.i, match.j]\n if i - k > 0\n match_sequence_copy.push make_bruteforce_match(k, i - 1)\n k = j + 1\n match_sequence_copy.push match\n if k < password.length\n match_sequence_copy.push make_bruteforce_match(k, password.length - 1)\n match_sequence = match_sequence_copy\n\n min_entropy = up_to_k[password.length - 1] or 0 # or 0 corner case is for an empty password ''\n crack_time = @entropy_to_crack_time min_entropy\n\n # final result object\n password: password\n entropy: @round_to_x_digits(min_entropy, 3)\n match_sequence: match_sequence\n crack_time: @round_to_x_digits(crack_time, 3)\n crack_time_display: @display_time crack_time\n score: @crack_time_to_score crack_time\n\n round_to_x_digits: (n, x) -> Math.round(n * Math.pow(10, x)) / Math.pow(10, x)\n\n # ------------------------------------------------------------------------------\n # threat model -- stolen hash catastrophe scenario -----------------------------\n # ------------------------------------------------------------------------------\n #\n # assumes:\n # * passwords are stored as salted hashes, different random salt per user.\n # (making rainbow attacks infeasable.)\n # * hashes and salts were stolen. attacker is guessing passwords at max rate.\n # * attacker has several CPUs at their disposal.\n # ------------------------------------------------------------------------------\n\n SECONDS_PER_GUESS: .010 / 100 # single guess time (10ms) over number of cores guessing in parallel\n # for a hash function like bcrypt/scrypt/PBKDF2, 10ms per guess is a safe lower bound.\n # (usually a guess would take longer -- this assumes fast hardware and a small work factor.)\n # adjust for your site accordingly if you use another hash function, possibly by\n # several orders of magnitude!\n\n entropy_to_crack_time: (entropy) ->\n .5 * Math.pow(2, entropy) * @SECONDS_PER_GUESS # .5 for average vs total\n\n crack_time_to_score: (seconds) ->\n return 0 if seconds < Math.pow(10, 2)\n return 1 if seconds < Math.pow(10, 4)\n return 2 if seconds < Math.pow(10, 6)\n return 3 if seconds < Math.pow(10, 8)\n return 4\n\n # ------------------------------------------------------------------------------\n # entropy calcs -- one function per match pattern ------------------------------\n # ------------------------------------------------------------------------------\n\n calc_entropy: (match) ->\n return match.entropy if match.entropy? # a match's entropy doesn't change. cache it.\n entropy_functions =\n dictionary: @dictionary_entropy\n spatial: @spatial_entropy\n repeat: @repeat_entropy\n sequence: @sequence_entropy\n regex: @regex_entropy\n date: @date_entropy\n match.entropy = entropy_functions[match.pattern].call this, match\n\n repeat_entropy: (match) ->\n num_repeats = match.token.length / match.base_token.length\n match.base_entropy + @lg num_repeats\n\n sequence_entropy: (match) ->\n first_chr = match.token.charAt(0)\n # lower entropy for obvious starting points\n if first_chr in ['a', 'A', 'z', 'Z', '0', '1', '9']\n base_entropy = 2\n else\n if first_chr.match /\\d/\n base_entropy = @lg(10) # digits\n else if first_chr.match /[a-z]/\n base_entropy = @lg(26) # lower\n else\n base_entropy = @lg(26) + 1 # extra bit for uppercase\n if not match.ascending\n base_entropy += 1 # extra bit for descending instead of ascending\n base_entropy + @lg match.token.length\n\n MIN_YEAR_SPACE: 20\n REFERENCE_YEAR: 2000\n regex_entropy: (match) ->\n char_class_bases =\n alpha_lower: 26\n alpha_upper: 26\n alpha: 52\n alphanumeric: 62\n digits: 10\n symbols: 33\n if match.regex_name of char_class_bases\n @lg Math.pow(char_class_bases[match.regex_name], match.token.length)\n else switch match.regex_name\n when 'recent_year'\n # conservative estimate of year space: num years from REFERENCE_YEAR.\n # if year is close to REFERENCE_YEAR, estimate a year space of MIN_YEAR_SPACE.\n year_space = Math.abs parseInt(match.regex_match[0]) - @REFERENCE_YEAR\n year_space = Math.max year_space, @MIN_YEAR_SPACE\n @lg year_space\n\n date_entropy: (match) ->\n # base entropy: lg of (year distance from REFERENCE_YEAR * num_days * num_years)\n year_space = Math.max(Math.abs(match.year - @REFERENCE_YEAR), @MIN_YEAR_SPACE)\n entropy = @lg(year_space * 31 * 12)\n # add one bit for four-digit years\n entropy += 1 if match.has_full_year\n # add two bits for separator selection (one of ~4 choices)\n entropy += 2 if match.separator\n entropy\n\n KEYBOARD_AVERAGE_DEGREE: calc_average_degree(adjacency_graphs.qwerty)\n # slightly different for keypad/mac keypad, but close enough\n KEYPAD_AVERAGE_DEGREE: calc_average_degree(adjacency_graphs.keypad)\n\n KEYBOARD_STARTING_POSITIONS: (k for k,v of adjacency_graphs.qwerty).length\n KEYPAD_STARTING_POSITIONS: (k for k,v of adjacency_graphs.keypad).length\n\n spatial_entropy: (match) ->\n if match.graph in ['qwerty', 'dvorak']\n s = @KEYBOARD_STARTING_POSITIONS\n d = @KEYBOARD_AVERAGE_DEGREE\n else\n s = @KEYPAD_STARTING_POSITIONS\n d = @KEYPAD_AVERAGE_DEGREE\n possibilities = 0\n L = match.token.length\n t = match.turns\n # estimate the number of possible patterns w/ length L or less with t turns or less.\n for i in [2..L]\n possible_turns = Math.min(t, i - 1)\n for j in [1..possible_turns]\n possibilities += @nCk(i - 1, j - 1) * s * Math.pow(d, j)\n entropy = @lg possibilities\n # add extra entropy for shifted keys. (% instead of 5, A instead of a.)\n # math is similar to extra entropy of l33t substitutions in dictionary matches.\n if match.shifted_count\n S = match.shifted_count\n U = match.token.length - match.shifted_count # unshifted count\n if U == 0\n entropy += 1\n else\n possibilities = 0\n possibilities += @nCk(S + U, i) for i in [1..Math.min(S, U)]\n entropy += @lg possibilities\n entropy\n\n dictionary_entropy: (match) ->\n match.base_entropy = @lg match.rank # keep these as properties for display purposes\n match.uppercase_entropy = @extra_uppercase_entropy match\n match.reversed_entropy = match.reversed and 1 or 0\n match.l33t_entropy = @extra_l33t_entropy(match)\n match.base_entropy + match.uppercase_entropy + match.l33t_entropy + match.reversed_entropy\n\n START_UPPER: /^[A-Z][^A-Z]+$/\n END_UPPER: /^[^A-Z]+[A-Z]$/\n ALL_UPPER: /^[^a-z]+$/\n ALL_LOWER: /^[^A-Z]+$/\n\n extra_uppercase_entropy: (match) ->\n word = match.token\n return 0 if word.match @ALL_LOWER\n # a capitalized word is the most common capitalization scheme,\n # so it only doubles the search space (uncapitalized + capitalized): 1 extra bit of entropy.\n # allcaps and end-capitalized are common enough too, underestimate as 1 extra bit to be safe.\n for regex in [@START_UPPER, @END_UPPER, @ALL_UPPER]\n return 1 if word.match regex\n # otherwise calculate the number of ways to capitalize U+L uppercase+lowercase letters\n # with U uppercase letters or less. or, if there's more uppercase than lower (for eg. PASSwORD),\n # the number of ways to lowercase U+L letters with L lowercase letters or less.\n U = (chr for chr in word.split('') when chr.match /[A-Z]/).length\n L = (chr for chr in word.split('') when chr.match /[a-z]/).length\n possibilities = 0\n possibilities += @nCk(U + L, i) for i in [1..Math.min(U, L)]\n @lg possibilities\n\n extra_l33t_entropy: (match) ->\n return 0 if not match.l33t\n extra_entropy = 0\n for subbed, unsubbed of match.sub\n # lower-case match.token before calculating: capitalization shouldn't affect l33t calc.\n chrs = match.token.toLowerCase().split('')\n S = (chr for chr in chrs when chr == subbed).length # num of subbed chars\n U = (chr for chr in chrs when chr == unsubbed).length # num of unsubbed chars\n if S == 0 or U == 0\n # for this sub, password is either fully subbed (444) or fully unsubbed (aaa)\n # treat that as doubling the space (attacker needs to try fully subbed chars in addition to\n # unsubbed.)\n extra_entropy += 1\n else\n # this case is similar to capitalization:\n # with aa44a, U = 3, S = 2, attacker needs to try unsubbed + one sub + two subs\n p = Math.min(U, S)\n possibilities = 0\n possibilities += @nCk(U + S, i) for i in [1..p]\n extra_entropy += @lg possibilities\n extra_entropy\n\n # utilities --------------------------------------------------------------------\n\n calc_bruteforce_cardinality: (password) ->\n [lower, upper, digits, symbols, latin1_symbols, latin1_letters] = (\n false for i in [0...6]\n )\n unicode_codepoints = []\n for chr in password.split('')\n ord = chr.charCodeAt(0)\n if 0x30 <= ord <= 0x39\n digits = true\n else if 0x41 <= ord <= 0x5a\n upper = true\n else if 0x61 <= ord <= 0x7a\n lower = true\n else if ord <= 0x7f\n symbols = true\n else if 0x80 <= ord <= 0xBF\n latin1_symbols = true\n else if 0xC0 <= ord <= 0xFF\n latin1_letters = true\n else if ord > 0xFF\n unicode_codepoints.push ord\n c = 0\n c += 10 if digits\n c += 26 if upper\n c += 26 if lower\n c += 33 if symbols\n c += 64 if latin1_symbols\n c += 64 if latin1_letters\n if unicode_codepoints.length\n min_cp = max_cp = unicode_codepoints[0]\n for cp in unicode_codepoints[1..]\n min_cp = cp if cp < min_cp\n max_cp = cp if cp > max_cp\n # if the range between unicode codepoints is small,\n # assume one extra alphabet is in use (eg cyrillic, korean) and add a ballpark +40\n #\n # if the range is large, be very conservative and add +100 instead of the range.\n # (codepoint distance between chinese chars can be many thousand, for example,\n # but that cardinality boost won't be justified if the characters are common.)\n range = max_cp - min_cp + 1\n range = 40 if range < 40\n range = 100 if range > 100\n c += range\n c\n\n display_time: (seconds) ->\n minute = 60\n hour = minute * 60\n day = hour * 24\n month = day * 31\n year = month * 12\n century = year * 100\n [display_num, display_str] = if seconds < minute\n [seconds, \"#{seconds} second\"]\n else if seconds < hour\n base = Math.round seconds / minute\n [base, \"#{base} minute\"]\n else if seconds < day\n base = Math.round seconds / hour\n [base, \"#{base} hour\"]\n else if seconds < month\n base = Math.round seconds / day\n [base, \"#{base} day\"]\n else if seconds < year\n base = Math.round seconds / month\n [base, \"#{base} month\"]\n else if seconds < century\n base = Math.round seconds / year\n [base, \"#{base} year\"]\n else\n [null, 'centuries']\n display_str += 's' if display_num? and display_num != 1\n display_str\n\n\nmodule.exports = scoring\n" ] } \ No newline at end of file