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'use strict'
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const Wappalyzer = {
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technologies: [],
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categories: [],
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slugify(string) {
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return string
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.toLowerCase()
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.replace(/[^a-z0-9-]/g, '-')
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.replace(/--+/g, '-')
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.replace(/(?:^-|-$)/, '')
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},
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getTechnology(name) {
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return Wappalyzer.technologies.find(({ name: _name }) => name === _name)
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},
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getCategory(id) {
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return Wappalyzer.categories.find(({ id: _id }) => id === _id)
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},
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/**
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* Resolve promises for implied technology.
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* @param {Array} detections
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*/
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resolve(detections = []) {
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const resolved = detections.reduce((resolved, { technology }) => {
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if (
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resolved.findIndex(
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({ technology: { name } }) => name === technology.name
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) === -1
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) {
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let version = ''
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let confidence = 0
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detections.forEach(
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({ technology: { name }, pattern, version: _version = '' }) => {
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if (name === technology.name) {
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confidence = Math.min(100, confidence + pattern.confidence)
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version =
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_version.length > version.length && _version.length <= 10
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? _version
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: version
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}
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}
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)
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resolved.push({ technology, confidence, version })
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}
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return resolved
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}, [])
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Wappalyzer.resolveExcludes(resolved)
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Wappalyzer.resolveImplies(resolved)
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const priority = ({ technology: { categories } }) =>
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categories.reduce((max, id) =>
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Math.max(max, Wappalyzer.getCategory(id).priority)
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)
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return resolved
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.sort((a, b) => (priority(a) > priority(b) ? 1 : -1))
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.map(
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({
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technology: { name, slug, categories, icon, website, cpe },
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confidence,
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version
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}) => ({
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name,
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slug,
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categories: categories.map((id) => Wappalyzer.getCategory(id)),
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confidence,
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version,
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icon,
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website,
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cpe
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})
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)
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},
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/**
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* Resolve promises for version of technology.
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* @param {Promise} resolved
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*/
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resolveVersion({ version, regex }, match) {
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let resolved = version
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if (version) {
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const matches = regex.exec(match)
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if (matches) {
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matches.forEach((match, index) => {
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// Parse ternary operator
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const ternary = new RegExp(`\\\\${index}\\?([^:]+):(.*)$`).exec(
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version
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)
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if (ternary && ternary.length === 3) {
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resolved = version.replace(
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ternary[0],
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match ? ternary[1] : ternary[2]
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)
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}
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// Replace back references
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resolved = resolved
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.trim()
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.replace(new RegExp(`\\\\${index}`, 'g'), match || '')
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})
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}
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}
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return resolved
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},
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/**
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* Resolve promises for excluded technology.
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* @param {Promise} resolved
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*/
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resolveExcludes(resolved) {
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resolved.forEach(({ technology }) => {
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technology.excludes.forEach(({ name }) => {
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const excluded = Wappalyzer.getTechnology(name)
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if (!excluded) {
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throw new Error(`Excluded technology does not exist: ${name}`)
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}
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const index = resolved.findIndex(({ name }) => name === excluded.name)
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if (index !== -1) {
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resolved.splice(index, 1)
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}
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})
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})
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},
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/**
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* Resolve promises for implied technology.
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* @param {Promise} resolved
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*/
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resolveImplies(resolved) {
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let done = false
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while (resolved.length && !done) {
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resolved.forEach(({ technology, confidence }) => {
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done = true
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technology.implies.forEach(({ name, confidence: _confidence }) => {
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const implied = Wappalyzer.getTechnology(name)
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if (!implied) {
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throw new Error(`Implied technology does not exist: ${name}`)
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}
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if (
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resolved.findIndex(
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({ technology: { name } }) => name === implied.name
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) === -1
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) {
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resolved.push({
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technology: implied,
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confidence: Math.min(confidence, _confidence),
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version: ''
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})
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done = false
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}
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})
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})
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}
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},
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/**
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* Initialize analyzation.
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* @param {*} param0
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*/
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analyze({ url, html, meta, headers, cookies, scripts }) {
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const oo = Wappalyzer.analyzeOneToOne
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const om = Wappalyzer.analyzeOneToMany
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const mm = Wappalyzer.analyzeManyToMany
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const flatten = (array) => Array.prototype.concat.apply([], array)
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try {
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const detections = flatten(
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Wappalyzer.technologies.map((technology) =>
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flatten([
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oo(technology, 'url', url),
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oo(technology, 'html', html),
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om(technology, 'scripts', scripts),
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mm(technology, 'cookies', cookies),
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mm(technology, 'meta', meta),
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mm(technology, 'headers', headers)
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])
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)
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).filter((technology) => technology)
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return detections
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} catch (error) {
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throw new Error(error.message || error.toString())
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}
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},
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/**
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* Extract technologies from data collected.
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* @param {*object} data
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*/
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setTechnologies(data) {
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const transform = Wappalyzer.transformPatterns
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Wappalyzer.technologies = Object.keys(data).reduce((technologies, name) => {
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const {
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cats,
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url,
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html,
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meta,
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headers,
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cookies,
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script,
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js,
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implies,
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excludes,
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icon,
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website,
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cpe
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} = data[name]
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technologies.push({
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name,
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categories: cats || [],
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slug: Wappalyzer.slugify(name),
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url: transform(url),
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headers: transform(headers),
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cookies: transform(cookies),
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html: transform(html),
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meta: transform(meta),
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scripts: transform(script),
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js: transform(js, true),
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implies: transform(implies).map(({ value, confidence }) => ({
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name: value,
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confidence
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})),
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excludes: transform(excludes).map(({ value }) => ({
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name: value
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})),
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icon: icon || 'default.svg',
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website: website || null,
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cpe: cpe || null
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})
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return technologies
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}, [])
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},
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/**
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* Assign categories for data.
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* @param {Object} data
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*/
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setCategories(data) {
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Wappalyzer.categories = Object.keys(data)
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.reduce((categories, id) => {
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const category = data[id]
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categories.push({
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id: parseInt(id, 10),
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slug: Wappalyzer.slugify(category.name),
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...category
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})
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return categories
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}, [])
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.sort(({ priority: a }, { priority: b }) => (a > b ? -1 : 0))
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},
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/**
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* Extract information from regex pattern.
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* @param {string|array} patterns
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*/
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transformPatterns(patterns, caseSensitive = false) {
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if (!patterns) {
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return []
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}
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const toArray = (value) => (Array.isArray(value) ? value : [value])
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if (typeof patterns === 'string' || Array.isArray(patterns)) {
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patterns = { main: patterns }
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}
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const parsed = Object.keys(patterns).reduce((parsed, key) => {
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parsed[caseSensitive ? key : key.toLowerCase()] = toArray(
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patterns[key]
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).map((pattern) => {
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const { value, regex, confidence, version } = pattern
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.split('\\;')
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.reduce((attrs, attr, i) => {
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if (i) {
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// Key value pairs
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attr = attr.split(':')
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if (attr.length > 1) {
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attrs[attr.shift()] = attr.join(':')
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}
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} else {
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attrs.value = attr
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// Escape slashes in regular expression
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attrs.regex = new RegExp(attr.replace(/\//g, '\\/'), 'i')
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}
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return attrs
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}, {})
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return {
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value,
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regex,
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confidence: parseInt(confidence || 100, 10),
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version: version || ''
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}
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})
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return parsed
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}, {})
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return 'main' in parsed ? parsed.main : parsed
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},
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/**
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* @todo describe
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* @param {Object} technology
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* @param {String} type
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* @param {String} value
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*/
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analyzeOneToOne(technology, type, value) {
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return technology[type].reduce((technologies, pattern) => {
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if (pattern.regex.test(value)) {
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technologies.push({
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technology,
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pattern,
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version: Wappalyzer.resolveVersion(pattern, value)
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})
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}
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return technologies
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}, [])
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},
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/**
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* @todo update
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* @param {Object} technology
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* @param {String} type
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* @param {Array} items
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*/
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analyzeOneToMany(technology, type, items = []) {
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return items.reduce((technologies, value) => {
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const patterns = technology[type] || []
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patterns.forEach((pattern) => {
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if (pattern.regex.test(value)) {
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technologies.push({
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technology,
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pattern,
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version: Wappalyzer.resolveVersion(pattern, value)
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})
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}
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})
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return technologies
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}, [])
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},
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/**
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*
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* @param {Object} technology
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* @param {String} type
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* @param {Array} items
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*/
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analyzeManyToMany(technology, type, items = {}) {
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return Object.keys(technology[type]).reduce((technologies, key) => {
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const patterns = technology[type][key] || []
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const values = items[key] || []
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patterns.forEach((pattern) => {
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values.forEach((value) => {
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if (pattern.regex.test(value)) {
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technologies.push({
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technology,
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pattern,
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version: Wappalyzer.resolveVersion(pattern, value)
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})
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}
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})
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})
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return technologies
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}, [])
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}
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}
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if (typeof module !== 'undefined') {
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module.exports = Wappalyzer
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}
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