getgenv().__OVERHUB_API="https://overhub.dev" local B64 = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/" local B64IDX = {} for i = 1, 64 do B64IDX[B64:byte(i)] = i - 1 end local b64floor = math.floor local function base64Decode(data) data = data:gsub("[^" .. B64 .. "=]", "") local len = #data while len > 0 and data:byte(len) == 61 do len = len - 1 end local out, on, chunk, cn = {}, 0, {}, 0 local i = 1 while i + 3 <= len do local a, b, c, d = data:byte(i, i + 3) local v = B64IDX[a] * 262144 + B64IDX[b] * 4096 + B64IDX[c] * 64 + B64IDX[d] cn = cn + 1 chunk[cn] = string.char(b64floor(v / 65536) % 256, b64floor(v / 256) % 256, v % 256) if cn >= 4096 then on = on + 1; out[on] = table.concat(chunk); chunk, cn = {}, 0 end i = i + 4 end local rem = len - i + 1 if rem == 3 then local a, b, c = data:byte(i, i + 2) local v = B64IDX[a] * 262144 + B64IDX[b] * 4096 + B64IDX[c] * 64 cn = cn + 1; chunk[cn] = string.char(b64floor(v / 65536) % 256, b64floor(v / 256) % 256) elseif rem == 2 then local a, b = data:byte(i, i + 1) local v = B64IDX[a] * 262144 + B64IDX[b] * 4096 cn = cn + 1; chunk[cn] = string.char(b64floor(v / 65536) % 256) end if cn > 0 then on = on + 1; out[on] = table.concat(chunk) end return table.concat(out) end local band, bor, bxor = bit32.band, bit32.bor, bit32.bxor local rshift, lshift, rrotate = bit32.rshift, bit32.lshift, bit32.rrotate local SHA_K = { 0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5, 0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3, 0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174, 0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc, 0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da, 0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7, 0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967, 0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13, 0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85, 0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3, 0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070, 0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5, 0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3, 0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208, 0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2, } local SHA_INIT = { 0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a, 0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19 } local function shaCompress(st, msg) local h0, h1, h2, h3, h4, h5, h6, h7 = st[1], st[2], st[3], st[4], st[5], st[6], st[7], st[8] local w = {} for chunk = 1, #msg, 64 do for i = 0, 15 do local j = chunk + i * 4 w[i] = bor(lshift(msg:byte(j), 24), lshift(msg:byte(j + 1), 16), lshift(msg:byte(j + 2), 8), msg:byte(j + 3)) end for i = 16, 63 do local x, y = w[i - 15], w[i - 2] local s0 = bxor(rrotate(x, 7), rrotate(x, 18), rshift(x, 3)) local s1 = bxor(rrotate(y, 17), rrotate(y, 19), rshift(y, 10)) w[i] = band(w[i - 16] + s0 + w[i - 7] + s1, 0xffffffff) end local a, b, c, d, e, f, g, h = h0, h1, h2, h3, h4, h5, h6, h7 for i = 0, 63 do local S1 = bxor(rrotate(e, 6), rrotate(e, 11), rrotate(e, 25)) local ch = bxor(band(e, f), band(bxor(e, 0xffffffff), g)) local t1 = band(h + S1 + ch + SHA_K[i + 1] + w[i], 0xffffffff) local S0 = bxor(rrotate(a, 2), rrotate(a, 13), rrotate(a, 22)) local maj = bxor(band(a, b), band(a, c), band(b, c)) local t2 = band(S0 + maj, 0xffffffff) h = g; g = f; f = e; e = band(d + t1, 0xffffffff) d = c; c = b; b = a; a = band(t1 + t2, 0xffffffff) end h0 = band(h0 + a, 0xffffffff); h1 = band(h1 + b, 0xffffffff) h2 = band(h2 + c, 0xffffffff); h3 = band(h3 + d, 0xffffffff) h4 = band(h4 + e, 0xffffffff); h5 = band(h5 + f, 0xffffffff) h6 = band(h6 + g, 0xffffffff); h7 = band(h7 + h, 0xffffffff) end st[1], st[2], st[3], st[4], st[5], st[6], st[7], st[8] = h0, h1, h2, h3, h4, h5, h6, h7 end local function shaWord(x) return string.char(band(rshift(x, 24), 0xff), band(rshift(x, 16), 0xff), band(rshift(x, 8), 0xff), band(x, 0xff)) end local function shaDigest(st) return shaWord(st[1]) .. shaWord(st[2]) .. shaWord(st[3]) .. shaWord(st[4]) .. shaWord(st[5]) .. shaWord(st[6]) .. shaWord(st[7]) .. shaWord(st[8]) end local function shaPad(tail, totalLen) local pad = "\128" while ((totalLen + #pad) % 64) ~= 56 do pad = pad .. "\0" end local bitlen = totalLen * 8 local hi = math.floor(bitlen / 4294967296) local lo = bitlen % 4294967296 return tail .. pad .. string.char( band(rshift(hi, 24), 0xff), band(rshift(hi, 16), 0xff), band(rshift(hi, 8), 0xff), band(hi, 0xff), band(rshift(lo, 24), 0xff), band(rshift(lo, 16), 0xff), band(rshift(lo, 8), 0xff), band(lo, 0xff)) end local function sha256(msg) local st = { SHA_INIT[1], SHA_INIT[2], SHA_INIT[3], SHA_INIT[4], SHA_INIT[5], SHA_INIT[6], SHA_INIT[7], SHA_INIT[8] } shaCompress(st, shaPad(msg, #msg)) return shaDigest(st) end local function hmacPads(key) if #key > 64 then key = sha256(key) end if #key < 64 then key = key .. string.rep("\0", 64 - #key) end local ipad, opad = {}, {} for i = 1, 64 do local b = key:byte(i) ipad[i] = string.char(bxor(b, 0x36)) opad[i] = string.char(bxor(b, 0x5c)) end return table.concat(ipad), table.concat(opad) end local function hmac256(key, msg) local ipad, opad = hmacPads(key) return sha256(opad .. sha256(ipad .. msg)) end local function hmacFactory(key) local ipad, opad = hmacPads(key) local iState = { SHA_INIT[1], SHA_INIT[2], SHA_INIT[3], SHA_INIT[4], SHA_INIT[5], SHA_INIT[6], SHA_INIT[7], SHA_INIT[8] } shaCompress(iState, ipad) local oState = { SHA_INIT[1], SHA_INIT[2], SHA_INIT[3], SHA_INIT[4], SHA_INIT[5], SHA_INIT[6], SHA_INIT[7], SHA_INIT[8] } shaCompress(oState, opad) return function(msg) local st = { iState[1], iState[2], iState[3], iState[4], iState[5], iState[6], iState[7], iState[8] } shaCompress(st, shaPad(msg, 64 + #msg)) local inner = shaDigest(st) local st2 = { oState[1], oState[2], oState[3], oState[4], oState[5], oState[6], oState[7], oState[8] } shaCompress(st2, shaPad(inner, 64 + 32)) return shaDigest(st2) end end local function keystream(ek, n, sliceMs) local hm = hmacFactory(ek) local canYield = sliceMs and type(task) == "table" and type(task.wait) == "function" local slice = (sliceMs or 0) / 1000 local deadline = canYield and (os.clock() + slice) or 0 local out, produced, i = {}, 0, 0 while produced < n do local ctr = string.char(band(rshift(i, 24), 0xff), band(rshift(i, 16), 0xff), band(rshift(i, 8), 0xff), band(i, 0xff)) out[#out + 1] = hm(ctr) produced = produced + 32 i = i + 1 if canYield and os.clock() >= deadline then local waited = task.wait() if type(waited) == "number" and waited > 0.04 then canYield = false else deadline = os.clock() + slice end end end return table.concat(out):sub(1, n) end local function xorBytes(data, ks) local out = {} for i = 1, #data do out[i] = string.char(bxor(data:byte(i), ks:byte(i))) end return table.concat(out) end local function tohex(s) return (s:gsub(".", function(ch) return string.format("%02x", ch:byte()) end)) end local function _19c7ca4c(s,m)local t={}for i=1,#s do t[i]=string.char(bit32.bxor(s:byte(i),m))end return table.concat(t)end local _690c09cd=_19c7ca4c("\217\140\221\142\216\214\216\216\138\221\222\214\142\138\137\217\217\215\218\222\220\217\141\138\223\137\217\140\223\220\138\215",239) local _794aa7f5=_19c7ca4c("\182\232\229\182\178\231\177\226\178\227\177\178\181\233\224\226\177\179\224\181\225\231\226\177\230\225\233\227\181\233\233\179",208) local _de82d202="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" if tohex(sha256(_de82d202))~="8fc2afe54cadab220b0d3983f6e53eacf1c06242026887d68772bd1185aa4114" then return end local _b6f3060d=base64Decode(_de82d202) _b6f3060d=xorBytes(_b6f3060d,keystream(hmac256(_794aa7f5,"b2"),#_b6f3060d,20)) _b6f3060d=string.reverse(_b6f3060d) _b6f3060d=xorBytes(_b6f3060d,keystream(hmac256(_690c09cd,"b1"),#_b6f3060d,20)) return (loadstring or load)(_b6f3060d)()