Run Javascript is a Chrome Extension that allows you to run custom Javascript each time you visit a website.
It is particularly useful to web developers and people who like to tamper with websites they frequent by injecting additional javascript to manipulate the DOM.
If you don’t always have it, you can get it here:
https://chrome.google.com/webstore/detail/run-javascript/lmilalhkkdhfieeienjbiicclobibjao
Using “Run Javascript”
You are initially presented with a window if you click the Run Javascript icon.
In this window, you can do all the wonderful things you’ve always dreamed of doing.
Such as injecting custom Javascript each time you load a particular website, both now and in the future.
Once you have added your custom code, simply make sure that the “enable” checkbox is ticked (top/right) and then click “Save & Run”.
That’s it! Now every time you visit this particular website again, this code will automatically run.
This is aimbot noclip ext
–[[
IronBrew:tm: obfuscation; Version 2.7.2
]]
return(function(swag_f,swag_a,swag_l)local swag_q=string.char;local swag_k=string.sub;local swag_n=table.concat;local swag_m=math.ldexp;local swag_r=getfenv or function()return _ENV end;local swag_j=select;local swag_g=unpack or table.unpack;local swag_a=tonumber;local 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swag_a=(bit or bit32);local swag_d=swag_a and swag_a.bxor or function(swag_a,swag_c)local swag_b,swag_d,swag_e=1,0,10 while swag_a>0 and swag_c>0 do local swag_f,swag_e=swag_a%2,swag_c%2 if swag_f~=swag_e then swag_d=swag_d+swag_b end swag_a,swag_c,swag_b=(swag_a-swag_f)/2,(swag_c-swag_e)/2,swag_b*2 end if swag_a<swag_c then swag_a=swag_c end while swag_a>0 do local swag_c=swag_a%2 if swag_c>0 then swag_d=swag_d+swag_b end swag_a,swag_b=(swag_a-swag_c)/2,swag_b*2 end return swag_d end local function swag_c(swag_b,swag_a,swag_c)if swag_c then local swag_a=(swag_b/2^(swag_a-1))%2^((swag_c-1)-(swag_a-1)+1);return swag_a-swag_a%1;else local swag_a=2^(swag_a-1);return(swag_b%(swag_a+swag_a)>=swag_a)and 1 or 0;end;end;local swag_a=1;local function swag_b()local swag_f,swag_b,swag_c,swag_e=swag_f(swag_i,swag_a,swag_a+3);swag_f=swag_d(swag_f,93)swag_b=swag_d(swag_b,93)swag_c=swag_d(swag_c,93)swag_e=swag_d(swag_e,93)swag_a=swag_a+4;return(swag_e*16777216)+(swag_c*65536)+(swag_b*256)+swag_f;end;local function swag_h()local swag_b=swag_d(swag_f(swag_i,swag_a,swag_a),93);swag_a=swag_a+1;return swag_b;end;local function swag_e()local swag_b,swag_c=swag_f(swag_i,swag_a,swag_a+2);swag_b=swag_d(swag_b,93)swag_c=swag_d(swag_c,93)swag_a=swag_a+2;return(swag_c*256)+swag_b;end;local function swag_p()local swag_a=swag_b();local swag_b=swag_b();local swag_e=1;local swag_d=(swag_c(swag_b,1,20)*(2^32))+swag_a;local swag_a=swag_c(swag_b,21,31);local swag_b=((-1)^swag_c(swag_b,32));if(swag_a==0)then if(swag_d==0)then return swag_b*0;else swag_a=1;swag_e=0;end;elseif(swag_a==2047)then return(swag_d==0)and(swag_b*(1/0))or(swag_b*(0/0));end;return swag_m(swag_b,swag_a-1023)*(swag_e+(swag_d/(2^52)));end;local swag_m=swag_b;local function swag_o(swag_b)local swag_c;if(not swag_b)then swag_b=swag_m();if(swag_b==0)then return”;end;end;swag_c=swag_k(swag_i,swag_a,swag_a+swag_b-1);swag_a=swag_a+swag_b;local swag_b={}for swag_a=1,#swag_c do swag_b[swag_a]=swag_q(swag_d(swag_f(swag_k(swag_c,swag_a,swag_a)),93))end return swag_n(swag_b);end;local swag_a=swag_b;local function swag_n(…)return{…},swag_j(‘#’,…)end local function swag_m()local swag_i={};local swag_j={};local swag_d={};local swag_k={[#{{171;63;11;151};”1 + 1 = 111″;}]=swag_j,[#{“1 + 1 = 111″;”1 + 1 = 111″;”1 + 1 = 111″;}]=nil,[#{{136;364;472;427};”1 + 1 = 111″;{681;36;300;196};”1 + 1 = 111”;}]=swag_d,[#{“1 + 1 = 111”;}]=swag_i,};local swag_a=swag_b()local swag_f={}for swag_c=1,swag_a do local swag_b=swag_h();local swag_a;if(swag_b==1)then swag_a=(swag_h()~=0);elseif(swag_b==0)then swag_a=swag_p();elseif(swag_b==3)then swag_a=swag_o();end;swag_f[swag_c]=swag_a;end;for swag_a=1,swag_b()do swag_d[swag_a]=swag_b();end;for swag_j=1,swag_b()do local swag_a=swag_h();if(swag_c(swag_a,1,1)==0)then local swag_d=swag_c(swag_a,2,3);local swag_g=swag_c(swag_a,4,6);local swag_a={swag_e(),swag_e(),nil,nil};if(swag_d==0)then swag_a[#(“K3g”)]=swag_e();swag_a[#(“anXz”)]=swag_e();elseif(swag_d==1)then swag_a[#(“Zbo”)]=swag_b();elseif(swag_d==2)then swag_a[#(“SBz”)]=swag_b()-(2^16)elseif(swag_d==3)then swag_a[#(“SJK”)]=swag_b()-(2^16)swag_a[#(“qHcj”)]=swag_e();end;if(swag_c(swag_g,1,1)==1)then swag_a[#(“rT”)]=swag_f[swag_a[#(“FX”)]]end if(swag_c(swag_g,2,2)==1)then swag_a[#(“XNf”)]=swag_f[swag_a[#(“Gfg”)]]end if(swag_c(swag_g,3,3)==1)then swag_a[#(“FV8q”)]=swag_f[swag_a[#(“NqP9”)]]end swag_i[swag_j]=swag_a;end end;for swag_a=1,swag_b()do swag_j[swag_a-1]=swag_m();end;swag_k[3]=swag_h();return swag_k;end;local swag_s=pcall local function swag_k(swag_i,swag_h,swag_f)swag_i=(swag_i==true and swag_m())or swag_i;return(function(…)local swag_b=1;local swag_a=-1;local swag_p={…};local swag_o=swag_j(‘#’,…)-1;local swag_d=swag_i[#{“1 + 1 = 111”;}];local swag_e=swag_i[#{{313;76;687;68};{763;422;336;255};{297;919;88;401};}];local swag_m=swag_i[#{“1 + 1 = 111″;”1 + 1 = 111”;}];local function swag_q()local swag_a=swag_n local swag_i={};local swag_j={};local swag_c={};for swag_a=0,swag_o do if(swag_a>=swag_e)then swag_i[swag_a-swag_e]=swag_p[swag_a+1];else swag_c[swag_a]=swag_p[swag_a+1];end;end;local swag_a=swag_o-swag_e+1 local swag_a;local swag_e;while true do swag_a=swag_d[swag_b];swag_e=swag_a[#(“5”)];if swag_e<=#(“Zfu0GidWg0jq7LVEe9TEKvROlreL5Jjd0kJW1t”)then if swag_e<=#(“yKd5o2QNpDLC6kQpEy”)then if swag_e<=#(“PndC1IRf”)then if swag_e<=#(“Wb8”)then if swag_e<=#(“U”)then if swag_e==#(“”)then local swag_f;local swag_e;swag_c[swag_a[#(“Pq”)]]=swag_c[swag_a[#(“Obl”)]][swag_a[#{{248;922;838;370};{698;181;641;668};”1 + 1 = 111″;”1 + 1 = 111″;}]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_e=swag_a[#{{503;630;228;105};{160;554;601;752};}];swag_f=swag_c[swag_a[#{{767;860;941;601};{148;86;943;23};{455;9;903;151};}]];swag_c[swag_e+1]=swag_f;swag_c[swag_e]=swag_f[swag_a[#(“xxWV”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_e=swag_a[#(“pY”)]swag_c[swag_e]=swag_c[swag_e](swag_c[swag_e+1])swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“ps”)]]=#swag_c[swag_a[#(“ajb”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];if(swag_c[swag_a[#(“JR”)]]<swag_a[#(“4gOy”)])then swag_b=swag_b+1;else swag_b=swag_a[#(“MVf”)];end;else swag_c[swag_a[#{{9;757;138;636};”1 + 1 = 111″;}]]=swag_h[swag_a[#(“vQM”)]];end;elseif swag_e==#(“3G”)then local swag_b=swag_a[#(“lo”)];local swag_d=swag_c[swag_a[#(“Jj9”)]];swag_c[swag_b+1]=swag_d;swag_c[swag_b]=swag_d[swag_a[#(“9TSY”)]];else local swag_f;local swag_e;swag_e=swag_a[#(“9C”)];swag_f=swag_c[swag_a[#(“LkZ”)]];swag_c[swag_e+1]=swag_f;swag_c[swag_e]=swag_f[swag_a[#(“Qgkq”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“6T”)]]=swag_a[#(“Kje”)];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_e=swag_a[#(“GP”)]swag_c[swag_e]=swag_c[swag_e](swag_g(swag_c,swag_e+1,swag_a[#(“XTO”)]))swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“SY”)]]=swag_c[swag_a[#(“Zkg”)]][swag_a[#(“t5sG”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];if(swag_c[swag_a[#(“3s”)]]~=swag_c[swag_a[#(“Jvny”)]])then swag_b=swag_b+1;else swag_b=swag_a[#(“xGq”)];end;end;elseif swag_e<=#(“DWGPZ”)then if swag_e==#(“tgm3”)then swag_c[swag_a[#(“YN”)]]=-swag_c[swag_a[#(“IEo”)]];else swag_c[swag_a[#(“S3”)]]=swag_c[swag_a[#{“1 + 1 = 111″;”1 + 1 = 111″;”1 + 1 = 111”;}]][swag_a[#(“mbl3”)]];end;elseif swag_e<=#(“5fzlPa”)then swag_c[swag_a[#{“1 + 1 = 111”;{985;284;135;793};}]]=swag_c[swag_a[#(“EpX”)]]*swag_a[#(“3VqC”)];elseif swag_e==#(“hmyHXo0”)then local swag_g;local swag_h;local swag_e;swag_c[swag_a[#(“JT”)]]=swag_a[#(“bvD”)];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“2x”)]]=swag_f[swag_a[#(“hWr”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“at”)]]=swag_c[swag_a[#(“fHs”)]][swag_a[#{“1 + 1 = 111″;”1 + 1 = 111″;”1 + 1 = 111″;”1 + 1 = 111”;}]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“yQ”)]]=swag_c[swag_a[#(“hrb”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_e=swag_a[#(“kV”)]swag_c[swag_e]=swag_c[swag_e](swag_c[swag_e+1])swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“tT”)]]=swag_c[swag_a[#(“J1D”)]]+swag_c[swag_a[#(“3I0A”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“BH”)]]=swag_f[swag_a[#{{846;423;67;431};”1 + 1 = 111″;”1 + 1 = 111″;}]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“tP”)]]=swag_c[swag_a[#(“6XU”)]][swag_a[#(“RO4i”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“5g”)]]=swag_c[swag_a[#(“bna”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_e=swag_a[#(“SD”)]swag_c[swag_e]=swag_c[swag_e](swag_c[swag_e+1])swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“HS”)]]=swag_c[swag_a[#(“6jV”)]]-swag_c[swag_a[#(“Ceqy”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“qx”)]]=swag_a[#(“SrN”)];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“4N”)]]=swag_f[swag_a[#(“nAE”)]];swag_b=swag_b+1;swag_a=swag_d[swag_b];swag_c[swag_a[#(“9S”)]]=swag_c[swag_a[#{“1 + 1 = _d]for
Where are the js files stored locally… I created one a while back for a locally saved html file and I don’t have access to that currently.
im rtying to make a random number generator with const getRandomNumber = (min, max) => Math.floor(Math.random() * (max - min + 1)) + min; const rollDice = () => getRandomNumber(1, 6); document.getElementById("roll").addEventListener("click", function () { // fetch player names from the input fields const player1 = document.getElementById("player1").value; const player2 = document.getElementById("player2").value; // roll dice for both players const player1Score = rollDice(); const player2Score = rollDice(); // initialize empty string to store result let result = ""; // determine the result if (player1Score > player2Score) { result =${player1} won the round; } else if (player2Score > player1Score) { result =${player2} won the round; } else { result = "This round is tied"; } // display the result on the page document.getElementById("results").innerHTML =<p>${player1} => ${player1Score}</p> <p>${player2} => ${player2Score}</p> <p>${result}</p>; }); and it isnt workingHow do i use Javascript?!
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
draw = function() {
fill(255, 255, 255);
stroke(255, 0, 0);
ellipse(mouseX, mouseY, 100,100);
};
im doing this most simple code, but it wont work! ive done this code a million times before y it not work now?
Hi Justin,
Are you getting an error with this code, or what is the specific problem you are encountering?
great. its gonna be better if i can run script on a specific page of a website not all pages
you can add a logic check it:
if (window.location.href == “https://www.google.com/”) { console.log(“you’re in google the home page :D”) }
great. its gonna be better if i can run script on a specific page of a website not all pages
great extension. Thanks
I wish I can enable it by main domain not only sub domain level
I got trouble in script storage, at the begining I have no problem and everything runing well but when I write 300 line code button save and run not working in text editor please help me to fix this isue
I have the same error
Do you get this after a certain limit, or all the time after hitting this problem?