How to use resume method in wpt

Best JavaScript code snippet using wpt

compile.js

Source:compile.js Github

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...83 }84 // BEGIN VISITOR METHODS85 function tbl(node, options, resume) {86 visit(node.elts[0], options, function (err1, val1) {87 resume([].concat(err1), {88 type: "table",89 args: val1,90 });91 });92 };93 function thead(node, options, resume) {94 visit(node.elts[0], options, function (err1, val1) {95 resume([].concat(err1), {96 type: "thead",97 args: val1,98 });99 });100 };101 function tbody(node, options, resume) {102 visit(node.elts[0], options, function (err1, val1) {103 resume([].concat(err1), {104 type: "tbody",105 args: val1,106 });107 });108 };109 function tr(node, options, resume) {110 visit(node.elts[0], options, function (err1, val1) {111 resume([].concat(err1), {112 type: "tr",113 args: val1,114 });115 });116 };117 function th(node, options, resume) {118 visit(node.elts[0], options, function (err1, val1) {119 resume([].concat(err1), {120 type: "th",121 args: val1,122 });123 });124 };125 function td(node, options, resume) {126 visit(node.elts[0], options, function (err1, val1) {127 resume([].concat(err1), {128 type: "td",129 args: val1,130 });131 });132 };133 function logoWidth(node, options, resume) {134 visit(node.elts[0], options, function (err, val0) {135 visit(node.elts[1], options, function (err, val1) {136 val1.logoWidth = val0;137 resume([], val1);138 });139 });140 }141 function width(node, options, resume) {142 visit(node.elts[0], options, function (err, val0) {143 visit(node.elts[1], options, function (err, val1) {144 val1.width = val0;145 resume([], val1);146 });147 });148 }149 function height(node, options, resume) {150 visit(node.elts[0], options, function (err, val0) {151 visit(node.elts[1], options, function (err, val1) {152 val1.height = val0;153 resume([], val1);154 });155 });156 }157 function packChart(node, options, resume) {158 visit(node.elts[0], options, function (err0, val0) {159 let data = stratify(val0);160 resume([].concat(err0), {161 type: "pack-chart",162 args: {163 data: data,164 }165 });166 });167 }168 function renderCategory(data) {169 let categoryName = data.name;170 let children = data.children;171 let products = [];172 children.forEach(child => {173 products.push({174 "type": "tr",175 "args": [{176 "type": "td",177 "style": {178 "borderWidth": "0px",179 "padding": "0px 0 5",180 },181 "args": [{182 "type": "a",183 "style": {184 "color": "#333",185 },186 "attrs": {187 "href": child.url,188 },189 "args": [{190 "type": "div",191 "style": {192 "background": "#FFF",193 "borderWidth": "1px",194 "padding": "10 10",195 "borderColor": "#cccece",196 "borderStyle": "solid",197 "borderRadius": "5px",198 },199 "args": [{200 "type": "img",201 "style": {202 "margin": "0 5 0 0",203 "width": "20",204 "height": "20",205 },206 "attrs": {207 "src": child.logo,208 },209 }, {210 "type": "str",211 "style": {212 "margin": "12px 0",213 },214 "value": child.name,215 }],216 }],217 }],218 }],219 },);220 });221 return {222 "type": "col-2",223 "style": {224 "padding": "5px",225 },226 "args": [{227 "type": "div",228 "style": {229 "background": "#f6f6f6",230 "borderWidth": "1",231 "borderColor": "#cccece",232 "borderStyle": "solid",233 "borderRadius": "5px",234 "padding": "5px",235 },236 "args": [{237 "type": "table",238 "style": {239 "marginBottom": "0",240 },241 "args": [{242 "type": "thead",243 "args": [{244 "type": "tr",245 "args": [{246 "type": "th",247 "style": {248 "borderWidth": "0px",249 "padding": "5px 2px 10px",250 },251 "args": [{252 "type": "str",253 "style": {254 "fontSize": "12",255 },256 "value": categoryName.toUpperCase(),257 }]258 }],259 }],260 },{261 "type": "tbody",262 "args": products,263 }],264 }],265 }],266 };267 };268 function renderCompany(data) {269 if (!data.name || !data.children) {270 return {271 };272 }273 let companyName = data.name;274 let companyLogo = data.logo;275 let children = data.children;276 let categories = [];277 children.sort((a, b) => {278 return b.children.length - a.children.length;279 });280 children.forEach(child => {281 categories.push(renderCategory(child));282 });283 return {284 "type": "container-fluid",285 "style": {286 "margin": "10 4",287 },288 "args": [{289 "type": "row",290 "style": {291 "margin": "4",292 },293 "args": [{294 "type": "col",295 "args": [{296 }],297 }, {298 "type": "col-4",299 "args": [{300 "type": "str",301 "style": {302 "fontSize": "13",303 "fontWeight": "600",304 },305 "value": "POWERED BY ",306 }, {307 "type": "img",308 "style": {309 "margin": "0 0 2",310 "height": "22",311 },312 "attrs": {313 "src": "https://static.chief.io/static/logo/logo-sm.png",314 },315 }],316 }, {317 "type": "col",318 "args": [{319 }],320 }],321 }, {322 "type": "row",323 "style": {324 "margin": "4",325 },326 "args": [{327 "type": "col-12",328 "style": {329 "margin": "0",330 "padding": "0",331 },332 "args": [{333 "type": "img",334 "style": {335 "margin": "0 5 10 5",336 "width": "30",337 "height": "30",338 },339 "attrs": {340 "src": companyLogo,341 },342 }, {343 "type": "str",344 "style": {345 "margin": "5",346 "fontSize": "30",347 "fontWeight": "400",348 },349 "value": companyName,350 }]351 }],352 }, {353 "type": "row",354 "style": {355 "margin": "4",356 },357 "args": categories,358 }],359 }360 }361 function stackChart(node, options, resume) {362 let data = options.data instanceof Array && options.data || [options.data];363 let root = renderCompany(data[0]);364 resume([], {365 type: "stack-chart",366 root: root,367 });368 }369 function treemapChart(node, options, resume) {370 let data = options.data instanceof Array && options.data || [options.data];371 let root = stratify(data);372 resume([], {373 type: "treemap-chart",374 args: {375 data: root,376 }377 });378 }379 function str(node, options, resume) {380 let val = node.elts[0];381 resume([], val);382 }383 function num(node, options, resume) {384 let val = node.elts[0];385 resume([], +val);386 }387 function ident(node, options, resume) {388 let val = node.elts[0];389 resume([], val);390 }391 function bool(node, options, resume) {392 let val = node.elts[0];393 resume([], !!val);394 }395 function concat(node, options, resume) {396 visit(node.elts[0], options, function (err1, val1) {397 let str = "";398 if (val1 instanceof Array) {399 val1.forEach(v => {400 str += v;401 });402 } else {403 str = val1.toString();404 }405 resume(err1, str);406 });407 }408 function paren(node, options, resume) {409 visit(node.elts[0], options, function (err1, val1) {410 resume(err1, val1);411 });412 }413 function list(node, options, resume) {414 if (node.elts && node.elts.length > 1) {415 visit(node.elts[0], options, function (err1, val1) {416 node = {417 tag: "LIST",418 elts: node.elts.slice(1),419 };420 list(node, options, function (err2, val2) {421 let val = [].concat(val2);422 val.unshift(val1);423 resume([].concat(err1).concat(err2), val);424 });425 });426 } else if (node.elts && node.elts.length > 0) {427 visit(node.elts[0], options, function (err1, val1) {428 let val = [val1];429 resume([].concat(err1), val);430 });431 } else {432 resume([], []);433 }434 }435 function inData(node, options, resume) {436 // If there is input data, then use it, otherwise use default data.437 if (node.elts.length === 0) {438 // No args, so use the given data or empty.439 let data = options.data ? options.data : [];440 resume([], data);441 } else {442 visit(node.elts[0], options, function (err1, val1) {443 if (false) {444 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));445 }446 let data = options.data && Object.keys(options.data).length != 0 ? options.data : val1;447 resume([].concat(err1), data);448 });449 }450 }451 function arg(node, options, resume) {452 visit(node.elts[0], options, function (err1, val1) {453 let key = val1;454 if (false) {455 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));456 }457 resume([].concat(err1), options.args[key]);458 });459 }460 function args(node, options, resume) {461 resume([], options.args);462 }463 function lambda(node, options, resume) {464 // Return a function value.465 visit(node.elts[0], options, function (err1, val1) {466 visit(node.elts[1], options, function (err2, val2) {467 resume([].concat(err1).concat(err2), val2);468 });469 });470 }471 function apply(node, options, resume) {472 // Apply a function to arguments.473 visit(node.elts[1], options, function (err1, val1) {474 // args475 options.args = [val1];476 visit(node.elts[0], options, function (err0, val0) {477 // fn478 resume([].concat(err1).concat(err0), val0);479 });480 });481 }482 function map(node, options, resume) {483 // Apply a function to arguments.484 visit(node.elts[1], options, function (err1, val1) {485 // args486 let errs = [];487 let vals = [];488 val1.forEach((val) => {489 options.args = [val];490 visit(node.elts[0], options, function (err0, val0) {491 vals.push(val0);492 errs = errs.concat(err0);493 });494 });495 resume(errs, vals);496 });497 }498 function binding(node, options, resume) {499 visit(node.elts[0], options, function (err1, val1) {500 visit(node.elts[1], options, function (err2, val2) {501 resume([].concat(err1).concat(err2), {key: val1, val: val2});502 });503 });504 }505 function record(node, options, resume) {506 if (node.elts && node.elts.length > 1) {507 visit(node.elts[0], options, function (err1, val1) {508 node = {509 tag: "RECORD",510 elts: node.elts.slice(1),511 };512 record(node, options, function (err2, val2) {513 val2[val1.key] = val1.val;514 resume([].concat(err1).concat(err2), val2);515 });516 });517 } else if (node.elts && node.elts.length > 0) {518 visit(node.elts[0], options, function (err1, val1) {519 let val = {};520 val[val1.key] = val1.val;521 resume([].concat(err1), val);522 });523 } else {524 resume([], {});525 }526 }527 function exprs(node, options, resume) {528 if (node.elts && node.elts.length > 1) {529 visit(node.elts[0], options, function (err1, val1) {530 node = {531 tag: "EXPRS",532 elts: node.elts.slice(1),533 };534 exprs(node, options, function (err2, val2) {535 let val = [].concat(val2);536 val.unshift(val1);537 resume([].concat(err1).concat(err2), val);538 });539 });540 } else if (node.elts && node.elts.length > 0) {541 visit(node.elts[0], options, function (err1, val1) {542 let val = [val1];543 resume([].concat(err1), val);544 });545 } else {546 resume([], []);547 }548 }549 function program(node, options, resume) {550 if (!options) {551 options = {};552 }553 visit(node.elts[0], options, function (err, val) {554 // Return the value of the last expression.555 resume(err, val.pop());556 });557 }558 function key(node, options, resume) {559 visit(node.elts[0], options, function (err1, val1) {560 let key = val1;561 if (false) {562 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));563 }564 visit(node.elts[1], options, function (err2, val2) {565 let obj = val2;566 if (false) {567 err2 = err2.concat(error("Argument must be a number.", node.elts[1]));568 }569 resume([].concat(err1).concat(err2), Object.keys(obj)[key]);570 });571 });572 }573 function val(node, options, resume) {574 visit(node.elts[0], options, function (err1, val1) {575 let key = val1;576 if (false) {577 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));578 }579 visit(node.elts[1], options, function (err2, val2) {580 let obj = val2;581 if (false) {582 err2 = err2.concat(error("Argument must be a number.", node.elts[1]));583 }584 resume([].concat(err1).concat(err2), obj[key]);585 });586 });587 }588 function len(node, options, resume) {589 visit(node.elts[0], options, function (err1, val1) {590 let obj = val1;591 if (false) {592 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));593 }594 resume([].concat(err1), obj.length);595 });596 }597 function add(node, options, resume) {598 visit(node.elts[0], options, function (err1, val1) {599 val1 = +val1;600 if (isNaN(val1)) {601 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));602 }603 visit(node.elts[1], options, function (err2, val2) {604 val2 = +val2;605 if (isNaN(val2)) {606 err2 = err2.concat(error("Argument must be a number.", node.elts[1]));607 }608 resume([].concat(err1).concat(err2), val1 + val2);609 });610 });611 }612 function mul(node, options, resume) {613 visit(node.elts[0], options, function (err1, val1) {614 val1 = +val1;615 if (isNaN(val1)) {616 err1 = err1.concat(error("Argument must be a number.", node.elts[0]));617 }618 visit(node.elts[1], options, function (err2, val2) {619 val2 = +val2;620 if (isNaN(val2)) {621 err2 = err2.concat(error("Argument must be a number.", node.elts[1]));622 }623 resume([].concat(err1).concat(err2), val1 * val2);624 });625 });626 }627 function style(node, options, resume) {628 visit(node.elts[0], options, function (err1, val1) {629 visit(node.elts[1], options, function (err2, val2) {630 resume([].concat(err1).concat(err2), {631 value: val1,632 style: val2,633 });634 });635 });636 }637 function styleV1(node, options, resume) {638 visit(node.elts[0], options, function (err1, val1) {639 visit(node.elts[1], options, function (err2, val2) {640 resume([].concat(err1).concat(err2), {641 style: val1,642 value: val2,643 });644 });645 });646 }647 return transform;648})();649const render = (function() {650 function escapeXML(str) {651 return String(str)652 .replace(/&(?!\w+;)/g, "&amp;")653 .replace(/\n/g, " ")654 .replace(/\\/g, "\\\\")655 .replace(/</g, "&lt;")656 .replace(/>/g, "&gt;")657 .replace(/"/g, "&quot;");658 }659 function render(val, options, resume) {660 // Do some rendering here.661 resume([], val);662 }663 return render;664})();665const unpack = (name, data) => {666 let kids = [];667 if (typeof data === "object") {668 Object.keys(data).forEach((k) => {669 if (k !== "type" && k !== "logo") {670 let kid = {671 name: k,672 type: data[k].type,673 logo: data[k].logo,674 };675 kid["children"] = unpack((data[k].type === "category" || data[k].type === "business") && k, data[k]);676 kids.push(kid);677 }678 });679 // if (name) {680 // kids.push({681 // name: name,682 // type: "label",683 // });684 // }685 }686 return kids.length && kids || undefined;687};688function stratifyNode(root, {689 type,690 name,691 url,692 logo,693 children,694 category,695 industry,696}) {697 if (!root[name]) {698 root[name] = {699 type: type,700 // name: name,701 logo: logo,702 };703 }704 if (children) {705 children.forEach(data => {706 stratifyNode(root[name], data);707 });708 }709 return root;710}711function stratify(data) {712 let root = {};713 data.forEach(d => {714 stratifyNode(root, d);715 });716 root = {717 name: "root",718 children: unpack(null, root),719 }720 return root;721};722export let compiler = (function () {723 exports.version = "v1.0.0";724 exports.compile = function compile(code, data, resume) {725 try {726 let options = {727 data: data728 };729 transform(code, options, function (err, val) {730 if (err.length) {731 resume(err, val);732 } else {733 render(val, options, function (err, val) {734 resume(err, val);735 });736 }737 });738 } catch (x) {739 console.log("ERROR with code");740 console.log(x.stack);741 resume(["Compiler error"], {742 score: 0743 });744 }745 }...

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intelCore.py

Source:intelCore.py Github

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1'''2Copyright (c) 2013-2015, Joshua Pitts3All rights reserved.4Redistribution and use in source and binary forms, with or without modification,5are permitted provided that the following conditions are met:6 1. Redistributions of source code must retain the above copyright notice,7 this list of conditions and the following disclaimer.8 2. Redistributions in binary form must reproduce the above copyright notice,9 this list of conditions and the following disclaimer in the documentation10 and/or other materials provided with the distribution.11 3. Neither the name of the copyright holder nor the names of its contributors12 may be used to endorse or promote products derived from this software without13 specific prior written permission.14THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"15AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE16IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE17ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE18LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR19CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF20SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS21INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN22CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)23ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE24POSSIBILITY OF SUCH DAMAGE.25'''26import struct27import random28from binascii import unhexlify29from capstone import *30class intelCore():31 nops = [0x90, 0x3690, 0x6490, 0x6590, 0x6690, 0x6790]32 jmp_symbols = ['jns', 'jle', 'jg', 'jp', 'jge', 'js', 'jl', 'jbe', 'jo',33 'jne', 'jrcxz', 'je', 'jae', 'jno', 'ja', 'jb', 'jnp', 'jmp'34 ]35 def __init__(self, flItms, file_handle, VERBOSE):36 self.f = file_handle37 self.flItms = flItms38 self.VERBOSE = VERBOSE39 def opcode_return(self, OpCode, instr_length):40 _, OpCode = hex(OpCode).split('0x')41 OpCode = unhexlify(OpCode)42 return OpCode43 def ones_compliment(self):44 """45 Function for finding two random 4 byte numbers that make46 a 'ones compliment'47 """48 compliment_you = random.randint(1, 4228250625)49 compliment_me = int('0xFFFFFFFF', 16) - compliment_you50 if self.VERBOSE is True:51 print "First ones compliment:", hex(compliment_you)52 print "2nd ones compliment:", hex(compliment_me)53 print "'AND' the compliments (0): ", compliment_you & compliment_me54 self.compliment_you = struct.pack('<I', compliment_you)55 self.compliment_me = struct.pack('<I', compliment_me)56 def pe32_entry_instr(self):57 """58 Updated to use Capstone-Engine59 """60 print "[*] Reading win32 entry instructions"61 self.f.seek(self.flItms['LocOfEntryinCode'])62 self.count = 063 self.flItms['ImpList'] = []64 md = Cs(CS_ARCH_X86, CS_MODE_32)65 self.count = 066 for k in md.disasm(self.f.read(12), self.flItms['VrtStrtngPnt']):67 self.count += k.size68 _bytes = bytearray(b'')69 if len(k.bytes) < k.size:70 _bytes = bytearray(b"\x00" * (k.size - len(k.bytes)))71 value_bytes = k.bytes + _bytes72 self.flItms['ImpList'].append([int(hex(k.address).strip('L'), 16),73 k.mnemonic.encode("utf-8"),74 k.op_str.encode("utf-8"),75 int(hex(k.address).strip('L'), 16) + k.size,76 value_bytes,77 k.size])78 if self.count >= 6 or self.count % 5 == 0 and self.count != 0:79 break80 self.flItms['count_bytes'] = self.count81 def pe64_entry_instr(self):82 """83 For x64 files. Updated to use Capstone-Engine.84 """85 print "[*] Reading win64 entry instructions"86 self.f.seek(self.flItms['LocOfEntryinCode'], 0)87 self.count = 088 self.flItms['ImpList'] = []89 md = Cs(CS_ARCH_X86, CS_MODE_64)90 for k in md.disasm(self.f.read(12), self.flItms['VrtStrtngPnt']):91 self.count += k.size92 _bytes = bytearray(b'')93 if len(k.bytes) < k.size:94 _bytes = bytearray(b"\x00" * (k.size - len(k.bytes)))95 value_bytes = k.bytes + _bytes96 self.flItms['ImpList'].append([int(hex(k.address).strip('L'), 16),97 k.mnemonic.encode("utf-8"),98 k.op_str.encode("utf-8"),99 int(hex(k.address).strip('L'), 16) + k.size,100 value_bytes,101 k.size])102 if self.count >= 6 or self.count % 5 == 0 and self.count != 0:103 break104 self.flItms['count_bytes'] = self.count105 def patch_initial_instructions(self):106 """107 This function takes the flItms dict and patches the108 executable entry point to jump to the first code cave.109 """110 print "[*] Patching initial entry instructions"111 self.f.seek(self.flItms['LocOfEntryinCode'], 0)112 #This is the JMP command in the beginning of the113 #code entry point that jumps to the codecave114 self.f.write(struct.pack('=B', int('E9', 16)))115 if self.flItms['JMPtoCodeAddress'] < 0:116 self.f.write(struct.pack('<I', 0xffffffff + self.flItms['JMPtoCodeAddress']))117 else:118 self.f.write(struct.pack('<I', self.flItms['JMPtoCodeAddress']))119 # To make any overwritten instructions dissembler friendly120 if self.flItms['count_bytes'] > 5:121 for i in range(self.flItms['count_bytes'] - 5):122 self.f.write(struct.pack('=B', 0x90))123 def resume_execution_64(self):124 """125 For x64 exes...126 """127 print "[*] Creating win64 resume execution stub"128 #pause loop for code cave clearing stub129 resumeExe = ''130 resumeExe += "\x51" # push ecx131 resumeExe += "\x48\xc7\xc1" # mov ecx, value below132 resumeExe += struct.pack("<I", (len(self.flItms['shellcode']) - 6))133 resumeExe += "\xe2\xfe" # loop back on itself134 resumeExe += "\x59" # pop ecx135 total_opcode_len = 0136 for item in self.flItms['ImpList']:137 startingPoint = item[0]138 OpCode = item[1]139 CallValue = item[2]140 ReturnTrackingAddress = item[3]141 entireInstr = item[4]142 total_opcode_len += item[5]143 self.ones_compliment()144 if OpCode == 'call': # Call instruction145 CallValue = int(CallValue, 16)146 resumeExe += "\x48\x89\xd0" # mov rad,rdx147 resumeExe += "\x48\x83\xc0" # add rax,xxx148 resumeExe += struct.pack("<B", total_opcode_len) # length from vrtstartingpoint after call149 resumeExe += "\x50" # push rax150 if len(entireInstr[1:]) <= 4: # 4294967295:151 resumeExe += "\x48\xc7\xc1" # mov rcx, 4 bytes152 resumeExe += entireInstr[1:]153 elif len(entireInstr[1:]) > 4: # 4294967295:154 resumeExe += "\x48\xb9" # mov rcx, 8 bytes155 resumeExe += entireInstr[1:]156 resumeExe += "\x48\x01\xc8" # add rax,rcx157 resumeExe += "\x50"158 resumeExe += "\x48\x31\xc9" # xor rcx,rcx159 resumeExe += "\x48\x89\xf0" # mov rax, rsi160 resumeExe += "\x48\x81\xe6" # and rsi, XXXX161 resumeExe += self.compliment_you162 resumeExe += "\x48\x81\xe6" # and rsi, XXXX163 resumeExe += self.compliment_me164 resumeExe += "\xc3"165 return ReturnTrackingAddress, resumeExe166 elif any(symbol in OpCode for symbol in self.jmp_symbols):167 #Let's beat ASLR168 CallValue = int(CallValue, 16)169 resumeExe += "\xb8"170 aprox_loc_wo_alsr = (startingPoint +171 self.flItms['JMPtoCodeAddress'] +172 len(self.flItms['shellcode']) + len(resumeExe) +173 200 + self.flItms['buffer'])174 resumeExe += struct.pack("<I", aprox_loc_wo_alsr)175 resumeExe += struct.pack('=B', int('E8', 16)) # call176 resumeExe += "\x00" * 4177 # POP ECX to find location178 resumeExe += struct.pack('=B', int('59', 16))179 resumeExe += "\x2b\xc1" # sub eax,ecx180 resumeExe += "\x3d\x00\x05\x00\x00" # cmp eax,500181 resumeExe += "\x77\x0b" # JA (14)182 resumeExe += "\x83\xC1\x16"183 resumeExe += "\x51"184 resumeExe += "\xb8" # Mov EAX ..185 if OpCode is int('ea', 16): # jmp far186 resumeExe += struct.pack('<BBBBBB', CallValue + 5)187 elif CallValue > 429467295:188 resumeExe += struct.pack('<I', abs(CallValue + 5 - 0xffffffff + 2))189 else:190 resumeExe += struct.pack('<I', CallValue + 5) # Add+ EAX, CallValue191 resumeExe += "\x50\xc3"192 resumeExe += "\x8b\xf0"193 resumeExe += "\x8b\xc2"194 resumeExe += "\xb9"195 resumeExe += struct.pack('<I', startingPoint - 5)196 resumeExe += "\x2b\xc1"197 resumeExe += "\x05"198 if OpCode is int('ea', 16): # jmp far199 resumeExe += struct.pack('<BBBBBB', CallValue + 5)200 elif CallValue > 429467295:201 resumeExe += struct.pack('<I', abs(CallValue + 5 - 0xffffffff + 2))202 else:203 resumeExe += struct.pack('<I', CallValue)204 resumeExe += "\x50"205 resumeExe += "\x33\xc9"206 resumeExe += "\x8b\xc6"207 resumeExe += "\x81\xe6"208 resumeExe += self.compliment_you209 resumeExe += "\x81\xe6"210 resumeExe += self.compliment_me211 resumeExe += "\xc3"212 return ReturnTrackingAddress, resumeExe213 else:214 resumeExe += entireInstr215 resumeExe += "\x49\x81\xe7"216 resumeExe += self.compliment_you # zero out r15217 resumeExe += "\x49\x81\xe7"218 resumeExe += self.compliment_me # zero out r15219 resumeExe += "\x49\x81\xc7" # ADD r15 <<-fix it this a 4 or 8 byte add does it matter?220 if ReturnTrackingAddress >= 4294967295:221 resumeExe += struct.pack('<Q', ReturnTrackingAddress)222 else:223 resumeExe += struct.pack('<I', ReturnTrackingAddress)224 resumeExe += "\x41\x57" # push r15225 resumeExe += "\x49\x81\xe7" # zero out r15226 resumeExe += self.compliment_you227 resumeExe += "\x49\x81\xe7" # zero out r15228 resumeExe += self.compliment_me229 resumeExe += "\xC3"230 return ReturnTrackingAddress, resumeExe231 def resume_execution_32(self):232 """233 This section of code imports the self.flItms['ImpList'] from pe32_entry_instr234 to patch the executable after shellcode execution235 """236 print "[*] Creating win32 resume execution stub"237 resumeExe = ''238 # buffer for zeroing shellcode (no performance impact)239 resumeExe += "\x51" # push ecx240 resumeExe += "\xb9" # mov ecx, value below241 resumeExe += struct.pack("<I", (len(self.flItms['shellcode']) - 6))242 resumeExe += "\xe2\xfe" # loop back on itself243 resumeExe += "\x59" # pop ecx244 for item in self.flItms['ImpList']:245 startingPoint = item[0]246 OpCode = item[1]247 CallValue = item[2]248 ReturnTrackingAddress = item[3]249 entireInstr = item[4]250 self.ones_compliment()251 if OpCode == 'call': # Call instruction252 # Let's beat ASLR :D253 CallValue = int(CallValue, 16)254 resumeExe += "\xb8"255 if self.flItms['LastCaveAddress'] == 0:256 self.flItms['LastCaveAddress'] = self.flItms['JMPtoCodeAddress']257 #Could make this more exact...258 aprox_loc_wo_alsr = (startingPoint +259 self.flItms['LastCaveAddress'] +260 len(self.flItms['shellcode']) + len(resumeExe) +261 500 + self.flItms['buffer'])262 resumeExe += struct.pack("<I", aprox_loc_wo_alsr)263 resumeExe += struct.pack('=B', int('E8', 16)) # call264 resumeExe += "\x00" * 4265 # POP ECX to find location266 resumeExe += struct.pack('=B', int('59', 16))267 resumeExe += "\x2b\xc1" # sub eax,ecx268 resumeExe += "\x3d\x00\x05\x00\x00" # cmp eax,500269 resumeExe += "\x77\x12" # JA (14)270 resumeExe += "\x83\xC1\x15" # ADD ECX, 15271 resumeExe += "\x51"272 resumeExe += "\xb8" # Mov EAX ..273 if CallValue > 4294967295:274 resumeExe += struct.pack('<I', CallValue - 0xffffffff - 1)275 else:276 resumeExe += struct.pack('<I', CallValue)277 resumeExe += "\xff\xe0" # JMP EAX278 resumeExe += "\xb8" # ADD279 resumeExe += struct.pack('<I', item[3])280 resumeExe += "\x50\xc3" # PUSH EAX,RETN281 resumeExe += "\x8b\xf0"282 resumeExe += "\x8b\xc2"283 resumeExe += "\xb9"284 resumeExe += struct.pack("<I", startingPoint)285 resumeExe += "\x2b\xc1"286 resumeExe += "\x05"287 resumeExe += struct.pack('<I', ReturnTrackingAddress)288 resumeExe += "\x50"289 resumeExe += "\x05"290 resumeExe += entireInstr[1:]291 resumeExe += "\x50"292 resumeExe += "\x33\xc9"293 resumeExe += "\x8b\xc6"294 resumeExe += "\x81\xe6"295 resumeExe += self.compliment_you296 resumeExe += "\x81\xe6"297 resumeExe += self.compliment_me298 resumeExe += "\xc3"299 return ReturnTrackingAddress, resumeExe300 elif any(symbol in OpCode for symbol in self.jmp_symbols):301 #Let's beat ASLR302 CallValue = int(CallValue, 16)303 resumeExe += "\xb8"304 aprox_loc_wo_alsr = (startingPoint +305 self.flItms['LastCaveAddress'] +306 len(self.flItms['shellcode']) + len(resumeExe) +307 200 + self.flItms['buffer'])308 resumeExe += struct.pack("<I", aprox_loc_wo_alsr)309 resumeExe += struct.pack('=B', int('E8', 16)) # call310 resumeExe += "\x00" * 4311 resumeExe += struct.pack('=B', int('59', 16))312 resumeExe += "\x2b\xc1" # sub eax,ecx313 resumeExe += "\x3d\x00\x05\x00\x00" # cmp eax,500314 resumeExe += "\x77\x0b" # JA (14)315 resumeExe += "\x83\xC1\x16"316 resumeExe += "\x51"317 resumeExe += "\xb8" # Mov EAX ..318 if OpCode is int('ea', 16): # jmp far319 resumeExe += struct.pack('<BBBBBB', CallValue + 5)320 elif CallValue > 429467295:321 resumeExe += struct.pack('<I', abs(CallValue + 5 - 0xffffffff + 2))322 else:323 resumeExe += struct.pack('<I', CallValue + 5) # Add+ EAX,CallV324 resumeExe += "\x50\xc3"325 resumeExe += "\x8b\xf0"326 resumeExe += "\x8b\xc2"327 resumeExe += "\xb9"328 resumeExe += struct.pack('<I', startingPoint - 5)329 resumeExe += "\x2b\xc1"330 resumeExe += "\x05"331 if OpCode is int('ea', 16): # jmp far332 resumeExe += struct.pack('<BBBBBB', CallValue + 5)333 elif CallValue > 429467295:334 resumeExe += struct.pack('<I', abs(CallValue + 5 - 0xffffffff + 2))335 else:336 resumeExe += struct.pack('<I', CallValue + 5 - 2)337 resumeExe += "\x50"338 resumeExe += "\x33\xc9"339 resumeExe += "\x8b\xc6"340 resumeExe += "\x81\xe6"341 resumeExe += self.compliment_you342 resumeExe += "\x81\xe6"343 resumeExe += self.compliment_me344 resumeExe += "\xc3"345 return ReturnTrackingAddress, resumeExe346 else:347 resumeExe += entireInstr348 resumeExe += "\x25"349 resumeExe += self.compliment_you # zero out EAX350 resumeExe += "\x25"351 resumeExe += self.compliment_me # zero out EAX352 resumeExe += "\x05" # ADD353 resumeExe += struct.pack('<I', ReturnTrackingAddress)354 resumeExe += "\x50" # push eax355 resumeExe += "\x25" # zero out EAX356 resumeExe += self.compliment_you357 resumeExe += "\x25" # zero out EAX358 resumeExe += self.compliment_me359 resumeExe += "\xC3"...

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candidates.js

Source:candidates.js Github

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1import { createSelector } from 'reselect'2import unionBy from 'lodash/unionBy'3import differenceBy from 'lodash/differenceBy'4const initialState = {5 search: {6 now: false,7 showAdvanced: false,8 query: '',9 data: [],10 count: null11 },12 data: [],13 page: 1,14 perPage: 30,15 groupId: null,16 groupCandidates: [],17 stats: [],18 scroll: true,19 current: null,20 openLinkedCandidateModal: false,21 sources: [],22 languages: [],23 languagesLevel: [],24 educationLevel: [],25 specialization: [],26 sidebar: {27 showSidebar: false,28 candidateId: null,29 },30 resumeTabSwitcher: 'resume',31 parsedResume: {32 fullName: {33 candidate_vacancies_attributes: [''],34 },35 contactInformation: {36 phones: [''],37 emails: [''],38 additional_contacts_attributes: [''],39 },40 basicInformation: {41 language_skills_attributes: [''],42 },43 resumeText: {},44 experience: {45 resume_work_experiences_attributes: [''],46 },47 achievements: {48 resume_educations_attributes: [''],49 },50 expectations: {},51 recommendations: {52 resume_recommendations_attributes: [''],53 },54 },55 select: [],56 filter: null,57}58const getGroupId = state => state.candidates.groupId59const isSearchNow = state => state.candidates.search.now60const getCandidates = state => state.candidates61export const currentVisibleCandidates = createSelector(62 [getGroupId, isSearchNow, getCandidates], (groupId, searchNow, candidates) => {63 if (searchNow) {64 return candidates.search.data65 } else if (groupId) {66 return candidates.groupCandidates67 } else {68 return candidates.data69 }70 }71)72export const currentGroup = createSelector(73 [getGroupId, getCandidates], (groupId, candidates) => {74 if (groupId === null) {75 return { label: 'Все', value: 'all' }76 } else if (groupId === -1) {77 return { label: 'Свободные', value: 'free' }78 } else {79 return candidates.stats.vacancy_stage_groups.find(g => g.id === groupId)80 }81 }82)83function preferredContact(contacts) {84 if (contacts.length === 0) return '0-phone'85 const contact = contacts.find(item => item.preferred)86 let prefer = ''87 let emails = 088 let phones = 089 if (!contact) return '0-phone'90 contacts.forEach((item) => {91 if(item.preferred && item.contact_type === 'email') {92 prefer = `${emails}-${item.contact_type}`93 }94 if(item.preferred && item.contact_type === 'phone') {95 prefer = `${phones}-${item.contact_type}`96 }97 if(item.contact_type === 'email') emails = emails + 198 if(item.contact_type === 'phone') phones = phones + 199 })100 return prefer101 // if (contact.contact_type === 'skype') {102 // return contact.contact_type103 // }104 // if (contact.contact_type === 'email' || contact.contact_type === 'phone') {105 // const key = contacts.find((item, key) => item.preferred && key)106 // return `${key}-${contact.contact_type}`107 // }108}109function parsingData(data) {110 const { resume } = data111 let email = resume.resume_contacts.filter(it => it.contact_type === 'email')112 let phone = resume.resume_contacts.filter(it => it.contact_type === 'phone')113 return {114 fullName: {115 city: resume.city,116 first_name: resume.first_name,117 last_name: resume.last_name,118 middle_name: resume.middle_name,119 resume_source_id: resume.resume_source_id,120 candidate_vacancies_attributes: [''],121 photo: resume.photo.url,122 raw_resume_doc_id: resume.raw_resume_doc_id,123 remote_resume_file_url: resume.resume_file.url,124 parsed: resume.parsed,125 },126 contactInformation: {127 emails: email.length > 0 ? resume.resume_contacts.filter(item => item.contact_type === 'email').map(item => ({ email: item.value })) : [''],128 phones: phone.length > 0 ? resume.resume_contacts.filter(item => item.contact_type === 'phone').map(item => ({ phone: item.value.split(' ').join('') })) : [''],129 skype: resume.resume_contacts.find(item => item.contact_type === 'skype') ?130 resume.resume_contacts.find(item => item.contact_type === 'skype').value : '',131 preferred_contact_type: preferredContact(resume.resume_contacts),132 additional_contacts_attributes:133 Array.isArray(resume.additional_contacts) &&134 resume.additional_contacts.length > 0 ? resume.additional_contacts : [''],135 },136 tabResume: {137 resume_text: resume.resume_text,138 },139 basicInformation: {140 birthdate: resume.birthdate,141 sex: resume.sex,142 skills: resume.skill_list,143 skills_description: resume.skills_description,144 language_skills_attributes: resume.language_skills,145 },146 experience: {147 resume_work_experiences_attributes: resume.resume_work_experiences.length > 0 ?148 resume.resume_work_experiences.map(item => {149 return {150 ...item,151 nowadays: !item.end_date,152 }153 }) :154 [''],155 },156 achievements: {157 education_level_id: resume.education_level_id,158 resume_educations_attributes:159 resume.resume_educations.length > 0160 ? resume.resume_educations.map(item => {161 return {162 ...item,163 end_year: item.end_year && `${item.end_year}`,164 }165 })166 : [''],167 resume_courses_attributes:168 resume.resume_courses && resume.resume_courses.length > 0 ?169 resume.resume_courses.map(item => {170 return {171 ...item,172 end_year: item.end_year && `${item.end_year}`,173 }174 }) : [''],175 resume_certificates_attributes:176 resume.resume_certificates && resume.resume_certificates.length > 0 ?177 resume.resume_certificates.map(item => {178 return {179 ...item,180 company_name: item.company_name && `${item.company_name}`,181 name: item.name && `${item.name}`,182 end_date: item.end_date && `${item.end_date}`,183 }184 }) : [''],185 },186 tabExpectations: {187 salary_level: resume.salary_level,188 experience: resume.experience && Object.keys(resume.experience),189 working_schedule: resume.working_schedule && Object.keys(resume.working_schedule),190 employment_type: resume.employment_type && Object.keys(resume.employment_type),191 comment: resume.comment,192 desired_position: resume.desired_position,193 },194 tabRecommendations: {195 resume_recommendations_attributes:196 resume.resume_recommendations.length > 0 ?197 resume.resume_recommendations.map(item => {198 return {199 ...item,200 phone: item.phone ? item.phone : [''],201 email: item.email ? item.email : [''],202 }203 }) :204 [{205 recommender_name: '',206 company_and_position: '',207 phone: [''],208 email: [''],209 }],210 },211 }212}213function updateComment(state, comment) {214 const { current } = state215 if (comment.success){216 const candidateVacancy = current.candidate_vacancies.find(it => (it.id === comment.data.commentable_id))217 candidateVacancy.comments.push(comment.data)218 current.candidate_changes = [219 {220 id: `100000${comment.data.id}`,221 change_type: "comment_added",222 change_for: comment.data,223 account: comment.data.account,224 },225 ...current.candidate_changes,226 ]227 }228 return {229 ...state,230 current,231 }232}233function changedCandidate(list, payload) {234 return list.map(candidate => {235 if (candidate.id === payload.id) {236 return payload237 }238 return candidate239 })240}241function changedCandidates(list, payload) {242 return list.map(candidate => {243 const newCandidate = payload.find(({ id }) => candidate.id === id )244 if (newCandidate) {245 return newCandidate246 }247 return candidate248 })249}250export default (state = initialState, action) => {251 switch (action.type) {252 case 'TOGGLE_SIDEBAR':253 return { ...state, sidebar: action.payload }254 case 'CLOSE_SIDEBAR':255 return { ...state, sidebar: initialState.sidebar }256 case 'TOGGLE_ADVANCED_SEARCH':257 return {258 ...state,259 search: { ...state.search, showAdvanced: !state.search.showAdvanced }260 }261 case 'UPDATE_CANDIDATES_SEARCH_STATE':262 return {263 ...state,264 search: { ...state.search, ...action.payload }265 }266 case 'GET_CANDIDATES_RES':267 return {268 ...state,269 data: unionBy(state.data, action.payload.data, 'id'),270 scroll: action.payload.data.length === state.perPage,271 page: action.page + 1,272 }273 case 'GET_CANDIDATES_GROUP_RES':274 return {275 ...state,276 groupCandidates: unionBy(state.groupCandidates, action.payload.data, 'id'),277 scroll: action.payload.data.length === state.perPage,278 page: action.page + 1,279 }280 case 'GET_CURRENT_CANDIDATE_RES':281 case 'UPLOAD_FILE_TO_CANDIDATE_RES':282 case 'LINK_CANDIDATE_TO_VACANCY_RES':283 return { ...state, current: action.payload }284 case 'SEND_CANDIDATE_COMMENT_RES':285 return updateComment(state, action.payload)286 case 'UPDATE_CURRENT_CANDIDATE_RES':287 case 'CHANGE_STAGE_CANDIDATE_RES':288 case 'SEND_RATING_RES':289 return {290 ...state,291 current: action.payload,292 data: changedCandidate(state.data, action.payload),293 }294 case 'RELEASE_CURRENT_CANDIDATE':295 return { ...state, current: initialState.current }296 case 'RESET_CANDIDATES_GROUP':297 return { ...state, groupCandidates: initialState.groupCandidates, page: action.page, groupId: initialState.groupId }298 case 'RESET_CANDIDATES':299 return { ...state, data: initialState.data, groupCandidates: initialState.groupCandidates, page: initialState.page, groupId: initialState.groupId }300 case 'GET_CANDIDATES_STATS_RES':301 return { ...state, stats: action.payload }302 case 'TOGGLE_LINKED_CANDIDATE_MODAL':303 return { ...state, openLinkedCandidateModal: action.payload }304 case 'ADVANCED_SEARCH_CANDIDATE_RES':305 return {306 ...state,307 search: {308 ...state.search,309 count: action.payload.count,310 now: true,311 data: state.page === 1 ? action.payload.data : [...state.search.data, ...action.payload.data],312 },313 scroll: action.payload.data.length === state.perPage,314 page: state.page + 1,315 filter: action.filter,316 }317 // case 'RESET_ADVANCED_SEARCH_CANDIDATE_RES':318 // return { ...state, search: initialState.search }319 case 'GET_SELECT_CANDIDATES_RES':320 return { ...state, select: action.payload }321 case 'CLEAR_SELECT_CANDIDATES':322 return { ...state, select: initialState.select }323 case 'RESET_SEARCH_CANDIDATES':324 return { ...state, search: initialState.search , filter: null}325 case 'GET_RESUME_SOURCES_RES':326 return { ...state, sources: action.payload }327 case 'GET_LANGUAGES_RES':328 return { ...state, languages: action.payload }329 case 'GET_LANGUAGES_LEVEL_RES':330 return { ...state, languagesLevel: action.payload }331 case 'GET_SPECIALIZATION_RES':332 return { ...state, specialization: action.payload }333 case 'GET_EDUCATION_LEVEL_RES':334 return { ...state, educationLevel: action.payload }335 case 'PARSING_FILE_TO_CANDIDATE_RES':336 return { ...state, parsedResume: parsingData(action.payload) }337 case 'CREATE_CANDIDATE_RES':338 case 'PARSING_RESET':339 return { ...state, parsedResume: initialState.parsedResume }340 case 'REPLACE_CANDIDATES_AFTER_VACANCY_LINK':341 return {342 ...state,343 data: changedCandidates(state.data, action.payload),344 }345 case 'GET_CANDIDATES_GROUP_REQ':346 return {...state, groupId: action.payload.groupId }347 case 'SET_INITIAL_RESUME_VIEW':348 return { ...state, resumeTabSwitcher: initialState.resumeTabSwitcher }349 case 'SWITCH_RESUME_VIEW':350 return { ...state, resumeTabSwitcher: action.payload }351 case 'CREATE_CANDIDATE_REQ':352 case 'CREATE_CANDIDATE_FAIL':353 case 'PARSING_FILE_TO_CANDIDATE_REQ':354 case 'PARSING_FILE_TO_CANDIDATE_FAIL':355 case 'GET_CURRENT_CANDIDATE_REQ':356 case 'GET_CANDIDATES_GROUP_FAIL':357 case 'UPDATE_CURRENT_CANDIDATE_REQ':358 case 'GET_CURRENT_CANDIDATE_FAIL':359 case 'UPDATE_CURRENT_CANDIDATE_FAIL':360 case 'GET_RESUME_SOURCES_REQ':361 case 'GET_RESUME_SOURCES_FAIL':362 case 'GET_LANGUAGES_REQ':363 case 'GET_LANGUAGES_FAIL':364 case 'GET_SPECIALIZATION_REQ':365 case 'GET_SPECIALIZATION_FAIL':366 case 'GET_LANGUAGES_LEVEL_REQ':367 case 'GET_LANGUAGES_LEVEL_FAIL':368 case 'GET_EDUCATION_LEVEL_REQ':369 case 'GET_EDUCATION_LEVEL_FAIL':370 case 'UPLOAD_FILE_TO_CANDIDATE_REQ':371 case 'UPLOAD_FILE_TO_CANDIDATE_FAIL':372 case 'CHANGE_STAGE_CANDIDATE_REQ':373 case 'CHANGE_STAGE_CANDIDATE_FAIL':374 case 'SEND_CANDIDATE_COMMENT_REQ':375 case 'SEND_CANDIDATE_COMMENT_FAIL':376 case 'SEND_RATING_REQ':377 case 'SEND_RATING_FAIL':378 case 'ADVANCED_SEARCH_CANDIDATE_REQ':379 case 'ADVANCED_SEARCH_CANDIDATE_FAIL':380 case 'GET_SELECT_CANDIDATES_FAIL':381 case 'GET_SELECT_CANDIDATES_REQ':382 case 'GET_CANDIDATES_STATS_REQ':383 case 'GET_CANDIDATES_STATS_FAIL':384 return state385 default:386 return state387 }...

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index.js

Source:index.js Github

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1import React, {Component} from 'react'2import {connect} from 'react-redux'3import {FormSection, reduxForm} from 'redux-form'4import {Link} from 'react-router-dom'5import {isEqual, isEmpty, get} from 'lodash'6import {Row, Col} from 'react-bootstrap'7import CandidateTabGetResume from './FormSectionNewCandidate/CandidateTabGetResume'8import CandidateTabFullName from './FormSectionNewCandidate/CandidateTabFullName'9import CandidateTabContactInformation from './FormSectionNewCandidate/CandidateTabContactInformation'10import CandidateTabBasicInformation from './FormSectionNewCandidate/CandidateTabBasicInformation'11import CandidateTabExperience from './FormSectionNewCandidate/CandidateTabExperience'12import CandidateTabAchievements from './FormSectionNewCandidate/CandidateTabAchievements'13import CandidateTabExpectations from './FormSectionNewCandidate/CandidateTabExpectations'14import CandidateTabRecommendations from './FormSectionNewCandidate/CandidateTabRecommendations'15import CandidateTabResume from './FormSectionNewCandidate/CandidateTabResume'16import scrollToComponent from "components-folder/ScrollToComponent";17import {18 createCandidate, parsingReset,19 updateCandidate,20} from '../../../../redux/actions/candidatesActions'21import type {Dispatch} from '../../../../types/actions'22import type {ResumeSourceRaw, VacancyRaw} from '../../../../types/raws'23import compose from "ramda/src/compose";24import {toastr} from "react-redux-toastr";25import ReactDOM from "react-dom";26import moment from "moment/moment";27import {candidateRecommendation} from "../../../../lib/validation";28const cn = require('bem-cn')('new-candidate')29if (process.env.BROWSER) {30 require('./style.css')31 require('./new-candidate.css')32}33type Props = {34 dispatch: Dispatch,35 stageVacancies: Array<VacancyRaw>,36 state: {},37 candidateId: number,38 sources: Array<{}>,39 sources: Array<ResumeSourceRaw>,40}41const connector = compose(reduxForm({42 form: 'NewCandidateForm',43 enableReinitialize: true,44 keepDirtyOnReinitialize: true,45 initialValues: {46 fullName: {47 candidate_vacancies_attributes: [''],48 },49 contactInformation: {50 additional_contacts_attributes: [''],51 preferred_contact_type: '0-phone',52 phones: [''],53 emails: [''],54 },55 achievements: {56 resume_educations_attributes: [''],57 resume_courses_attributes: [''],58 resume_certificates_attributes: [''],59 },60 experience: {61 resume_work_experiences_attributes: [''],62 },63 tabRecommendations: {64 resume_recommendations_attributes: [{}],65 },66 basicInformation: {67 language_skills_attributes: [''],68 },69 tabExpectations: {70 salary_level: null,71 experience: null,72 working_schedule: null,73 employment_type: null,74 comment: null,75 desired_position: null,76 },77 tabResume: {78 resume_text: null,79 }80 },81 }),82 connect(state => ({83 sources: state.candidates.sources,84 form: state.form.NewCandidateForm,85 languagesLevel: state.candidates.languagesLevel,86 languages: state.candidates.languages,87 initialValues: state.candidates.parsedResume,88 candidate: state.candidates.current,89 specialization: state.candidates.specialization,90 education: state.candidates.educationLevel,91 state,92 })))93function preferredContact(contacts) {94 if (contacts.length === 0) return '0-phone'95 const contact = contacts.find(item => item.preferred)96 if (!contact) return '0-phone'97 let prefer = ''98 let emails = 099 let phones = 0100 contacts.forEach((item) => {101 if (item.preferred && item.contact_type === 'email') {102 prefer = `${emails}-${item.contact_type}`103 }104 if (item.preferred && item.contact_type === 'phone') {105 prefer = `${phones}-${item.contact_type}`106 }107 if (item.contact_type === 'email') emails = emails + 1108 if (item.contact_type === 'phone') phones = phones + 1109 })110 return prefer111}112class NewCandidateForm extends Component<Props> {113 componentDidMount() {114 const {initialize, candidateId, candidate, specialization} = this.props115 if (candidateId) {116 const {resume} = candidate117 let group = {}118 if (resume.professional_specializations.length > 0) {119 group = this.specializationOptionsForSelect(specialization).filter(it => it.options.map(({value}) => (value)).includes(resume.professional_specializations[0].id))[0]120 }121 initialize({122 fullName: {123 city: resume.city,124 first_name: candidate.first_name,125 last_name: candidate.last_name,126 middle_name: candidate.middle_name,127 resume_source_id: resume.resume_source_id,128 candidate_vacancies_attributes:129 candidate.candidate_vacancies.length > 0130 ? candidate.candidate_vacancies.map(item => item.vacancy_id)131 : [''],132 photo: resume.photo.url,133 documents: get(resume, 'resume_documents') ? resume.resume_documents.map(item => item) : [''],134 },135 contactInformation: {136 emails: resume.resume_contacts.filter(item => item.contact_type === 'email').length > 0 ?137 resume.resume_contacts.filter(item => item.contact_type === 'email').map(item => ({email: item.value})) : [''],138 phones: resume.resume_contacts.filter(item => item.contact_type === 'phone').length > 0 ?139 resume.resume_contacts.filter(item => item.contact_type === 'phone').map(item => ({phone: item.value})) : [''],140 skype: resume.resume_contacts.find(item => item.contact_type === 'skype') ?141 resume.resume_contacts.find(item => item.contact_type === 'skype').value : '',142 preferred_contact_type: preferredContact(resume.resume_contacts),143 additional_contacts_attributes:144 resume.additional_contacts.length > 0 ? resume.additional_contacts : [''],145 },146 achievements: {147 education_level_id: resume.education_level_id,148 resume_educations_attributes:149 resume.resume_educations && resume.resume_educations.length > 0150 ? resume.resume_educations.map(item => {151 return {152 ...item,153 end_year: item.end_year && `${item.end_year}`,154 }155 })156 : [''],157 resume_certificates_attributes:158 resume.resume_certificates && resume.resume_certificates.length > 0159 ? resume.resume_certificates.map(item => {160 return {161 company_name: item.company_name ? item.company_name : null,162 name: item.name ? item.name : null,163 end_date: item.end_date && `${moment(item.end_year).format('YYYY')}`,164 }165 })166 : [''],167 resume_courses_attributes:168 resume.resume_courses && resume.resume_courses.length > 0169 ? resume.resume_courses.map(item => {170 return {171 company_name: item.company_name ? item.company_name : null,172 name: item.name ? item.name : null,173 end_year: item.end_year && `${moment(item.end_year).format('YYYY')}`,174 }175 })176 : [''],177 },178 tabRecommendations: {179 resume_recommendations_attributes:180 resume.resume_recommendations.length > 0 ? resume.resume_recommendations : [''],181 },182 basicInformation: {183 birthdate: !isEmpty(candidate.birthdate) ? moment(candidate.birthdate).format('DD.MM.YYYY') : null,184 sex: resume.sex,185 skills: resume.skills,186 skills_description: resume.skills_description,187 language_skills_attributes:188 resume.language_skills.length > 0 ? resume.language_skills : [''],189 },190 tabResume: {191 resume_text: resume.resume_text,192 },193 tabExpectations: {194 salary_level: resume.salary_level && resume.salary_level.toString().replace(/(\d)(?=(\d\d\d)+([^\d]|$))/g, '$1 '),195 experience: resume.experience,196 working_schedule: resume.working_schedule,197 employment_type: resume.employment_type,198 comment: resume.comment,199 desired_position: resume.desired_position,200 professional_specialization_ids: resume.professional_specializations.length > 0 ? resume.professional_specializations.map((it) => ({201 group: group,202 label: it.name,203 value: it.id,204 })) : null,205 },206 experience: {207 resume_work_experiences_attributes:208 resume.resume_work_experiences.length > 0209 ? resume.resume_work_experiences.map(item => {210 return {211 ...item,212 nowadays: !item.end_date,213 }214 })215 : [''],216 },217 })218 }219 }220 specializationOptionsForSelect = specialization =>221 specialization.map(item => {222 return {223 label: item.name,224 options: item.professional_specializations.map(spec => {225 return {label: spec.name, value: spec.id}226 }),227 }228 })229 onSubmit = () => {230 const {dispatch, state, candidateId} = this.props231 if (candidateId) {232 dispatch(updateCandidate({state}))233 } else {234 dispatch(createCandidate({state}))235 }236 }237 checkError() {238 if (ReactDOM.findDOMNode(this).getElementsByClassName('form-group__error')[0]) {239 scrollToComponent(ReactDOM.findDOMNode(this).getElementsByClassName('form-group__error')[0], {240 offset: 0,241 duration: 1000242 })243 }244 }245 componentDidUpdate(prevProps) {246 if (!prevProps.submitFailed && this.props.submitFailed) {247 scrollToComponent(ReactDOM.findDOMNode(this).getElementsByClassName('form-group__error')[0], {248 offset: 0,249 duration: 1000,250 })251 toastr.error('Проверьте правильность заполненых полей.')252 }253 }254 componentWillUnmount() {255 const {dispatch} = this.props256 dispatch(parsingReset())257 }258 componentWillReceiveProps(nextProps) {259 if (!isEqual(this.props.initialValues, nextProps.initialValues)) {260 this.props.initialize(nextProps.initialValues)261 }262 }263 render() {264 const {265 specialization,266 education,267 stageVacancies,268 candidateId,269 handleSubmit,270 dispatch,271 sources,272 form,273 languages,274 languagesLevel,275 contactInformation,276 candidate277 } = this.props278 const checkedLanguageIds = form.values.basicInformation.language_skills_attributes.map( it => get(it, 'language_id.value') )279 const languageForChoose = languages.filter( it => !checkedLanguageIds.includes(it.id) )280 return (281 <div className='candidate'>282 <div className={cn}>283 <form284 onSubmit={handleSubmit(this.onSubmit)}285 onKeyPress={e => {286 if (e.key === 'Enter') e.preventDefault();287 }}288 >289 <FormSection name="candidateDocuments">290 <CandidateTabGetResume dispatch={dispatch}/>291 </FormSection>292 <FormSection name="fullName">293 <CandidateTabFullName form={form} dispatch={dispatch} sources={sources} stageVacancies={stageVacancies}/>294 </FormSection>295 <FormSection name="contactInformation">296 <CandidateTabContactInformation candidateId={candidateId} candidate={candidate}297 contactInformation={contactInformation}/>298 </FormSection>299 <FormSection name="tabResume">300 <CandidateTabResume candidateId={candidateId}/>301 </FormSection>302 <FormSection name="basicInformation">303 <CandidateTabBasicInformation candidateId={candidateId} languages={languageForChoose}304 languagesLevel={languagesLevel}/>305 </FormSection>306 <FormSection name="experience">307 <CandidateTabExperience/>308 </FormSection>309 <FormSection name="achievements">310 <CandidateTabAchievements candidateId={candidateId} education={education}/>311 </FormSection>312 <FormSection name="tabExpectations">313 <CandidateTabExpectations candidateId={candidateId} specialization={specialization}/>314 </FormSection>315 <FormSection name="tabRecommendations">316 <CandidateTabRecommendations candidateId={candidateId}/>317 </FormSection>318 <Row>319 <Col xs={12}>320 <button className={'btn btn-primary btn-margin-right '} onClick={() => this.checkError()}>Сохранить321 </button>322 <Link to={'/recruitment/candidates'}323 className="btn btn-outline">Отменить</Link>324 </Col>325 </Row>326 </form>327 </div>328 </div>329 )330 }331}...

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res.py

Source:res.py Github

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1# -*- coding: utf-8 -*-2"""RES.ipynb3Automatically generated by Colaboratory.4Original file is located at5 https://colab.research.google.com/drive/1pilL-yA8I_EpQiuUMDdt-gHFJKOV6NsV6"""7# libraries8import ssl9import PyPDF210from sklearn.metrics import recall_score11from sklearn.metrics import precision_score12from sklearn.metrics import classification_report13from sklearn.preprocessing import LabelEncoder14import json15from scipy.sparse import hstack16from sklearn.feature_extraction.text import TfidfVectorizer17from sklearn.model_selection import train_test_split18import re19import string20from nltk.corpus import stopwords21from csv import writer22from careerjet_api import CareerjetAPIClient23import pandas as pd24import warnings25from sklearn.multiclass import OneVsRestClassifier26from sklearn import metrics27from sklearn.metrics import accuracy_score28from sklearn.neighbors import KNeighborsClassifier29from sklearn import metrics30import nltk31# dataset32resumeDataSet = pd.read_csv('ResumeDataSet.csv', encoding='utf-8')33numbers_of_rows = 150034"""####Functions"""35def cleanString(s):36 s = re.sub('http\S+\s*', ' ', s) # remove URLs37 s = re.sub('RT|cc', ' ', s) # remove RT and cc38 s = re.sub('#\S+', '', s) # remove hashtags39 s = re.sub('@\S+', ' ', s) # remove mentions40 s = re.sub('[%s]' % re.escape(41 """!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~"""), ' ', s) # remove punctuations42 s = re.sub(r'[^\x00-\x7f]', r' ', s)43 s = re.sub('\s+', ' ', s) # remove extra whitespace44 return s45def vectorize(requiredText,):46 word_vectorizer = TfidfVectorizer(47 sublinear_tf=True,48 stop_words='english',49 max_features=numbers_of_rows)50 word_vectorizer.fit(requiredText)51 WordFeatures = word_vectorizer.transform(requiredText)52 return WordFeatures53def cleanResume(resumeText):54 resumeText = re.sub('http\S+\s*', ' ', resumeText) # remove URLs55 resumeText = re.sub('RT|cc', ' ', resumeText) # remove RT and cc56 resumeText = re.sub('#\S+', '', resumeText) # remove hashtags57 resumeText = re.sub('@\S+', ' ', resumeText) # remove mentions58 resumeText = re.sub('[%s]' % re.escape(59 """!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~"""), ' ', resumeText) # remove punctuations60 resumeText = re.sub(r'[^\x00-\x7f]', r' ', resumeText)61 resumeText = re.sub('\s+', ' ', resumeText) # remove extra whitespace62 return resumeText63def pdf_to_json(pdffile, jsonfile="Resume.json"):64 # Opening JSON file65 f = open(jsonfile)66 # Open pdf file67 pdfFileObj = open(pdffile, 'rb')68 # Read file69 pdfReader = PyPDF2.PdfFileReader(pdfFileObj)70 # Get total number of pages71 num_pages = pdfReader.numPages72 # Initialize a count for the number of pages73 count = 074 # Initialize a text empty string variable75 text = ""76 # Extract text from every page on the file77 while count < num_pages:78 pageObj = pdfReader.getPage(count)79 count += 180 text += pageObj.extractText()81 # Convert all strings to lowercase82 text = text.lower()83 # Remove numbers84 text = re.sub(r'\d+', '', text)85 # Remove punctuation86 # text = text.translate(str.maketrans('','',string.punctuation))87 # text = text.replace('\n','')88 text = cleanResume(text)89 # returns JSON object as90 # a dictionary91 data = json.load(f)92 # Iterating through the json93 # list94 ab = text.find("skills")95 data[0]['Resume'] = text[ab:]96 # data[0]['Resume'] = text[100:]97 with open(jsonfile, 'w') as f:98 json.dump(data, f)99 # Closing file100 f.close()101 return text102def run(jsonfile="Resume.json"):103 global resumeDataSet104 global numbers_of_rows105 resumeDataSet['cleaned_resume'] = ''106 resumeDataSet.head()107# targetCounts = resumeDataSet['Category'].value_counts()108# targetLabels = resumeDataSet['Category'].unique()109# Make square figures and axes110# plt.figure(1, figsize=(25,25))111# the_grid = GridSpec(2, 2)112# cmap = plt.get_cmap('coolwarm')113# colors = [cmap(i) for i in np.linspace(0, 1, 3)]114# plt.subplot(the_grid[0, 1], aspect=1, title='CATEGORY DISTRIBUTION')115# source_pie = plt.pie(targetCounts, labels=targetLabels, autopct='%1.1f%%', shadow=True, colors=colors)116# plt.show()117 resumeDataSet['cleaned_resume'] = resumeDataSet.Resume.apply(118 lambda x: cleanResume(x))119 var_mod = ['Category']120 # var_mod = ['SKILLS']121 # hier geändert122 le = LabelEncoder()123 for i in var_mod:124 resumeDataSet[i] = le.fit_transform(resumeDataSet[i])125 requiredText = resumeDataSet['cleaned_resume'].values126 requiredTarget = resumeDataSet['Category'].values127 word_vectorizer = TfidfVectorizer(128 sublinear_tf=True,129 stop_words='english',130 max_features=numbers_of_rows)131 word_vectorizer.fit(requiredText)132 WordFeatures = word_vectorizer.transform(requiredText)133 # print ("Feature completed .....")134 X_train, X_test, y_train, y_test = train_test_split(135 WordFeatures, requiredTarget, random_state=0, test_size=0.2)136 # print(X_train.shape)137 # print(X_test.shape)138 clf = OneVsRestClassifier(KNeighborsClassifier())139 clf.fit(X_train, y_train)140 prediction = clf.predict(X_test)141 # print(X_test)142 # print('Accuracy of KNeighbors Classifier on training set: {:.2f}'.format(clf.score(X_train, y_train)))143 # print('Accuracy of KNeighbors Classifier on test set: {:.2f}'.format(clf.score(X_test, y_test)))144 print("\n Classification report for classifier %s:\n%s\n" %145 (clf, metrics.classification_report(y_test, prediction)))146 realPrediction = clf.predict(X_train[5])147 resumeDataSet = pd.read_csv('ResumeDataSet.csv', encoding='utf-8')148 resumeDataSet['cleaned_resume'] = ''149 testDataSet = pd.read_json(jsonfile)150 testDataSet['cleaned_resume'] = ''151 resumeDataSet.head()152 testDataSet.head()153 """####Pre-Process the Dataset"""154 targetCounts = resumeDataSet['Category'].value_counts()155 targetLabels = resumeDataSet['Category'].unique()156 resumeDataSet['cleaned_resume'] = resumeDataSet.Resume.apply(157 lambda x: cleanString(x))158 testDataSet['cleaned_resume'] = testDataSet.Resume.apply(159 lambda x: cleanString(x))160 var_mod = ['Category']161 le = LabelEncoder()162 for i in var_mod:163 resumeDataSet[i] = le.fit_transform(resumeDataSet[i])164 requiredText = resumeDataSet['cleaned_resume'].values165 requiredText2 = testDataSet['cleaned_resume'].values166 WordFeatures = vectorize(requiredText)167 WordFeatures2 = vectorize(requiredText2)168 WordFeatures2.resize(1, numbers_of_rows)169 """####Train the model"""170 X_train, X_test, y_train, y_test = train_test_split(171 WordFeatures, requiredTarget, random_state=0, test_size=0.2)172 clf = OneVsRestClassifier(KNeighborsClassifier())173 clf.fit(X_train, y_train)174 """####Predict175 first we use the test data to validate our model176 """177 prediction = clf.predict(X_test)178 """and then we can use a singular x value and let the model predict the label for us"""179 print('Calculating the metrics...')180 print("Accuracy:{}".format(accuracy_score(y_test, prediction)))181 182 realPrediction = clf.predict(WordFeatures2)183 return(targetLabels[realPrediction[0]])184def prediction():185 return run()186#get the jobs as json fron the api187def get_job(keyword, location):188 #language189 cj = CareerjetAPIClient("en_GB")190 result_json = cj.search({191 'location': location,192 'keywords': keyword,193 'affid': '213e213hd12344552',194 'user_ip': '11.22.33.44',195 'url': 'http://www.example.com/jobsearch?q=python&l=berlin',196 'user_agent': 'Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Firefox/31.0'197 })198 result_json["category"] = keyword199 return result_json200#delete all the elements from the json file 201def cleaning_json(jsonfile="Resume.json"):202 # Opening JSON file203 f = open(jsonfile)204 # returns JSON object as205 # a dictionary206 data = json.load(f)207 # Iterating through the json208 # list209 data[0]['Resume'] = ""210 with open(jsonfile, 'w') as f:211 json.dump(data, f)212 # Closing file213 f.close()214#add cv to the dataset 215def correct_result(pdf_file, category, jsonfile="Resume.json"):216 # s = '"{}"'.format(str(pdf_to_json(pdf_file,jsonfile)))217 List = [category, str(pdf_to_json(pdf_file, jsonfile))]218 with open('ResumeDataSet.csv', 'a') as f_object:219 writer_object = writer(f_object)220 writer_object.writerow(List)...

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Using AI Code Generation

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1wpt.resume(“testID”);2wpt.stop(“testID”);3wpt.delete(“testID”);4wpt.getLocations();5wpt.getTesters(“location”);6wpt.getLocations();7wpt.getTesters(“location”);8wpt.getLocations();9wpt.getTesters(“location”);10wpt.getLocations();11wpt.getTesters(“location”);12wpt.getLocations();13wpt.getTesters(“location”);14wpt.getLocations();15wpt.getTesters(“location”);16wpt.getLocations();17wpt.getTesters(“location”);18wpt.getLocations();19wpt.getTesters(“location”);20wpt.getLocations();

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Using AI Code Generation

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1 if (err) {2 console.log(err);3 } else {4 console.log(data);5 wpt.getTestResults(data.data.testId, function (err, data) {6 if (err) {7 console.log(err);8 } else {9 console.log(data);10 }11 });12 }13});14 if (err) {15 console.log(err);16 } else {17 console.log(data);18 wpt.getTestResults(data.data.testId, function (err, data) {19 if (err) {20 console.log(err);21 } else {22 console.log(data);23 }24 });25 }26});27 if (err) {28 console.log(err);29 } else {30 console.log(data);31 wpt.getTestResults(data.data.testId, function (err, data) {32 if (err) {33 console.log(err);34 } else {35 console.log(data);36 }37 });38 }39});40 if (err) {41 console.log(err);42 } else {43 console.log(data);44 wpt.getTestResults(data.data.testId, function (err, data) {45 if (err) {46 console.log(err);47 } else {48 console.log(data);49 }50 });51 }52});53 if (err) {54 console.log(err);55 }

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Using AI Code Generation

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1var wpt = new WebPageTest('www.webpagetest.org', 'A.7b5e5e8c3d9e3b1e7e3f3c2d2b1f1c1f');2var options = {3 videoParams: {4 }5};6 if (err) {7 console.log('Error: ' + err);8 } else {9 console.log('Test Results: ' + JSON.stringify(data));10 wpt.getTestResults(data.data.testId, function(err, data) {11 if (err) {12 console.log('Error: ' + err);13 } else {14 console.log('Test Results: ' + JSON.stringify(data));15 }16 });17 }18});

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Using AI Code Generation

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1var wpt = require('wpt');2wpt.get('test', function(err, data) {3 if (err) {4 console.log(err);5 } else {6 console.log(data);7 }8});9var wpt = require('wpt');10wpt.get('test', function(err, data) {11 if (err) {12 console.log(err);13 } else {14 console.log(data);15 }16});17var wpt = require('wpt');18wpt.get('test', function(err, data) {19 if (err) {20 console.log(err);21 } else {22 console.log(data);23 }24});25var wpt = require('wpt');26wpt.get('test', function(err, data) {27 if (err) {28 console.log(err);29 } else {30 console.log(data);31 }32});33var wpt = require('wpt');34wpt.get('test', function(err, data) {35 if (err) {36 console.log(err);37 } else {38 console.log(data);39 }40});41var wpt = require('wpt');42wpt.get('test', function(err, data) {43 if (err) {44 console.log(err);45 } else {46 console.log(data);47 }48});49var wpt = require('wpt');50wpt.get('test', function(err, data) {51 if (err) {52 console.log(err);53 } else {54 console.log(data);55 }56});57var wpt = require('wpt');58wpt.get('test', function(err, data) {59 if (err) {60 console.log(err);61 } else {62 console.log(data);63 }64});65var wpt = require('wpt

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Using AI Code Generation

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1var wpt = require('wpt-api');2var wpt = new WebPageTest('www.webpagetest.org');3var testId = '160227_2R_1e3';4wpt.getTestResults(testId, function(err, data) {5 if (!err){6 console.log(data);7 }8});9var wpt = require('wpt-api');10var wpt = new WebPageTest('www.webpagetest.org');11var testId = '160227_2R_1e3';12wpt.stopTest(testId, function(err, data) {13 if (!err){14 console.log(data);15 }16});17var wpt = require('wpt-api');18var wpt = new WebPageTest('www.webpagetest.org');19var testId = '160227_2R_1e3';20wpt.testStatus(testId, function(err, data) {21 if (!err){22 console.log(data);23 }24});25var wpt = require('wpt-api');26var wpt = new WebPageTest('www.webpagetest.org');27var testId = '160227_2R_1e3';28wpt.testStatus(testId, function(err, data) {29 if (!err){30 console.log(data);31 }32});33var wpt = require('wpt-api');34var wpt = new WebPageTest('www.webpagetest.org');35wpt.getLocations(function(err, data) {36 if (!err){37 console.log(data);38 }39});40var wpt = require('wpt-api');41var wpt = new WebPageTest('www.webpagetest.org');42wpt.getLocations(function(err, data) {43 if (!err){44 console.log(data);45 }46});47var wpt = require('wpt-api');48var wpt = new WebPageTest('www.webpagetest.org');49wpt.getBrowsers(function(err, data) {50 if (!err){51 console.log(data);52 }53});54var wpt = require('wpt-api');

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