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https://www.cnblogs.com/xiaozhu2020/p/google-mirror-faq.html

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IT之家 4 月 17 日消息，近日，发现 Chrome 浏览器存在一个严重的安全漏洞，该漏洞已经被黑客利用，可能导致用户的数据和电脑受到损害。为了解决这个问题，谷歌紧急推出了一个安全更新，并建议所有的 Chrome 用户尽快安装。

这个漏洞被命名为 CVE-2023-2033，是一个类型混淆漏洞，出现在 Chrome 浏览器使用的 V8 JavaScript 引擎中。简单来说，类型混淆漏洞是一种允许使用错误的类型访问内存的 Bug，从而导致越界读写内存。这个漏洞的危险之处在于，黑客可以制作一个恶意的 HTML 页面，利用堆内存的损坏来执行任意代码。

根据谷歌的威胁分析组（TAG）的报告，这个漏洞已经被黑客利用。虽然目前还没有公布这个漏洞的具体影响范围和危害程度，但谷歌将其定为“高”级别的问题，并在周五发布了一个公告，提醒用户注意。

为了保护用户的安全，谷歌已经发布了一个版本为 112.0.5615.121 的安全更新，修复了这个漏洞以及其他一些未公开的问题。一般来说，Chrome 浏览器会自动更新，但用户也可以手动检查是否已经安装了最新版本。用户可以点击 Chrome 浏览器右上角的三个点菜单，选择“帮助”，然后选择“关于 Chrome”来查看自己的版本号。IT之家 4 月 17 日消息，近日，发现 Chrome 浏览器存在一个严重的安全漏洞，该漏洞已经被黑客利用，可能导致用户的数据和电脑受到损害。为了解决这个问题，谷歌紧急推出了一个安全更新，并建议所有的 Chrome 用户尽快安装。

这个漏洞被命名为 CVE-2023-2033，是一个类型混淆漏洞，出现blog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.topblog.liuzhen932.top在 Chrome 浏览器使用的 V8 JavaScript 引擎中。简单来说，类型混淆漏洞是一种允许使用错误的类型访问内存的 Bug，从而导致越界读写内存。这个漏洞的危险之处在于，黑客可以制作一个恶意的 HTML 页面，利用堆内存的损坏来执行任意代码。

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我们的服务主要包括：我们有9大数据中心，全球90blog.liuzhen932.top0+节点Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
我们的服务主要包括：Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
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在线提交工单的CDN在五大洲拥有三十多个数据中心，其中国内我们拥有三线高防服务器机房，可以缓存您网站中的静态内容，可自动将用户指向最快的节点，优化他们的访问。Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
我们的服务主要包括：我们有9大数据中心，全球900+节点Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
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7x24小时人工技术支持
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在线提交工单03
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在线提交工单Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
我们的服务主要包括：的CDN在五大洲拥有三十多个数据中心，其中国内我们拥有三线高防服务器机房，可以缓存您网站中的静态内容，可自动将用户指向最快的节点，优化他们的访问。我们有9大数据中心，全球900+节点Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
我们的服务主要包括：03
7x24小时人工技术支持
实时响应
即时通讯回复
在线提交工单Greypanel 致力于为客户提供更全面的网络加速与防御服务。无论是静态网站加速，游戏网站加速又或是DD或CC攻击防御，都可以在Greypanel 找到适合您的解决方案。
我们的服务主要包括：Reduce DNS resolution latency and improve user experience提高解决延迟提高解决延迟Improve resolve delaymaintenanceImprove resolve delay##X-3EQuTA6A43L28Q##PAGE##X-3EQuTA6A43L28Q##PAGEReduce DNS resolution latency and improve user experiencemaintenancemaintenanceImprove resolve delaymaintenance##X-3EQuTA6A43L28Q##PAGE1:/＄d9nVBuy＄~. 10:/(VFDnH43YcF3VhCeU)，##X-8zxox4NHKYd22M##PAGEH9NHVQ474600把自己活成一道光，
因为你不知道，
谁会借着你的光，
走出了黑暗。
请保持心中的善良，
因为你不知道，
谁会借着你的善良，
走出了绝望。
请保持你心中的信仰，
因为你不知道，
谁会借着你的信仰，
走出了迷茫。
请相信自己的力量，
因为你不知道，
谁会因为相信你，
开始相信了自己。
愿我们每个人都能活成一束光，
绽放着所有的美好！相信光，靠近光，追逐光，成为光。#用生命影响生命 #泰戈尔 #智慧人生把自己活成一道光，
因为你不知道，
谁会借着你的光，
走出了黑暗。
请保持心中的善良，
因为你不知道，
谁会借着你的善良，
走出了绝望。
请保持你心中的信仰，
因为你不知道，
谁会借着你的信仰，
走出了迷茫。
请相信自己的力量，
因为你不知道，
谁会因为相信你，
开始相信了自己。
愿我们每个人都能活成一束光，
绽放着所有的美好！把自己活成一道光，因为你不知道谁会借着你的光走出黑暗，请保持心中的善良因为你不知道借着你的善良走出了绝望，请保持你心中的信仰，因为你不知道谁借着你的信仰走出了迷茫，请相信你自己力量，因为你不知道谁记着你的力量相信了自己的！相信生命的美好！[玫瑰]This document has been fully translated and will be updated with Mod updateschinese traditional中文(繁体) {"sssearch.add.success"："已將%s記錄至緩存", "sssearch.clear"："清除記錄", "sssearch.clear.success"："已清除儲存記錄", "sssearch.multipleItemTypes"："這個容器有多種物品類型", "sssearch.name"："儲存記錄蒐索", "sssearch.render.noPositions"："未找到%s的儲存位置", "sssearch.render.success"："已渲染%s的儲存位置", "sssearch.setupMode"："記錄模式：%s"}{
"sssearch.add.success": "已將 %s 記錄至緩存",
"sssearch.clear": "清除記錄",
"sssearch.clear.success": "已清除儲存記錄",
"sssearch.multipleItemTypes": "這個容器有多種物品類型",
"sssearch.name": "儲存記錄蒐索",
"sssearch.render.noPositions": "未找到 %s 的儲存位置",
"sssearch.render.success": "已渲染 %s 的儲存位置",
"sssearch.setupMode": "記錄模式: %s"
}{“sssearch.add.success”：“已將%s記錄至緩存”，“sssearch.clear”：“清除記錄”，“sssearch.clear.success”：“已清除儲存記錄”，“sssearch.multipleItemTypes”：“這個容器有多種物品類型”，“sssearch.name”：“儲存記錄蒐索”，“sssearch.render.noPositions”：“未找到%s的儲存位置”，“sssearch.render.success”：“已渲染%s的儲存位置”，“sssearch.setupMode”：“記錄模式：%s”}{
"sssearch.add.success": "已将 %s 记录至缓存",
"sssearch.clear": "清除记录",
"sssearch.clear.success": "已清除储存记录",
"sssearch.multipleItemTypes": "这个容器有多种物品类型",
"sssearch.name": "储存记录搜索",
"sssearch.render.noPositions": "未找到 %s 的储存位置",
"sssearch.render.success": "已渲染 %s 的储存位置",
"sssearch.setupMode": "记录模式: %s"
}{“sssearch.add.success”：“已將%s記錄至緩存”，“sssearch.clear”：“清除記錄”，“sssearch.clear.success”：“已清除儲存記錄”，“sssearch.multipleItemTypes”：“這個容器有多種物品類型”，“sssearch.name”：“儲存記錄蒐索”，“sssearch.render.noPositions”：“未找到%s的儲存位置”，“sssearch.render.success”：“已渲染%s的儲存位置”，“sssearch.setupMode”：“記錄模式：%s”}{
"sssearch.add.success": "已将 %s 记录至缓存",
"sssearch.clear": "清除记录",
"sssearch.clear.success": "已清除储存记录",
"sssearch.multipleItemTypes": "这个容器有多种物品类型",
"sssearch.name": "储存记录搜索",
"sssearch.render.noPositions": "未找到 %s 的储存位置",
"sssearch.render.success": "已渲染 %s 的储存位置",
"sssearch.setupMode": "记录模式: %s"
}2a07:a8c0::79:4beb
2a07:a8c1::79:4beb2a07:a8c0::79:4beb
2a07:a8c1::79:4beb2a07:a8c0::79:4beb
2a07:a8c1::79:4beb2a07:a8c0::79:4beb
2a07:a8c1::79:4beb2a09::2a09::We have identified the root cause of the issue. lt will be resolved within10-15 minutes.Thanks for your patience!Dashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.We have identified the root cause of the issue. lt will be resolved within10-15 minutes.Thanks for your patience!Dashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.Dashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.We have identified the root cause of the issue. lt will be resolved within10-15 minutes.Thanks for your patience!We have identified the root cause of the issue. lt will be resolved within10-15 minutes.Thanks for your patience!Dashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.We have identified the root cause of the issue. lt will be resolved within10-15 minutes.Thanks for your patience!Dashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.H7ooJPr5rLPCcb8bDkEDQUwIDashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.H7ooJPr5rLPCcb8bDkEDQUwIDashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.H7ooJPr5rLPCcb8bDkEDQUwIDashboard is currently unavailable for small percentage of our users. This issue is related to ourinternal service.We're working on fixing the issue and dashboard willbe available again very soon.https://yeeee.mlactions_waddleconst CF_APP_VERSION = '1.0.0'

const logtailApiURL = "https://in.logtail.com/";
const apiKey = "uta9KrW8vW64taJ9X8bFcFpZ";

const headers = [
"rMeth",
"rUrl",
"uAgent",
"cfRay",
"cIP",
"statusCode",
"contentLength",
"cfCacheStatus",
"contentType",
"responseConnection",
"requestConnection",
"cacheControl",
"acceptRanges",
"expectCt",
"expires",
"lastModified",
"vary",
"server",
"etag",
"date",
"transferEncoding",
]

const options = {
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metadata: headers.map(value => ({ field: value })),
}

const sleep = ms => {
return new Promise(resolve => {
setTimeout(resolve, ms)
})
}

const makeid = length => {
let text = ""
const possible = "ABCDEFGHIJKLMNPQRSTUVWXYZ0123456789"
for (let i = 0; i < length; i += 1) {
text += possible.charAt(Math.floor(Math.random() * possible.length))
}
return text
}

const buildLogMessage = (request, response) => {
const logDefs = {
rMeth: request.method,
rUrl: request.url,
uAgent: request.headers.get("user-agent"),
cfRay: request.headers.get("cf-ray"),
cIP: request.headers.get("cf-connecting-ip"),
statusCode: response.status,
contentLength: response.headers.get("content-length"),
cfCacheStatus: response.headers.get("cf-cache-status"),
contentType: response.headers.get("content-type"),
responseConnection: response.headers.get("connection"),
requestConnection: request.headers.get("connection"),
cacheControl: response.headers.get("cache-control"),
acceptRanges: response.headers.get("accept-ranges"),
expectCt: response.headers.get("expect-ct"),
expires: response.headers.get("expires"),
lastModified: response.headers.get("last-modified"),
vary: response.headers.get("vary"),
server: response.headers.get("server"),
etag: response.headers.get("etag"),
date: response.headers.get("date"),
transferEncoding: response.headers.get("transfer-encoding"),
}

const logArray = []
options.metadata.forEach(entry => logArray.push(logDefs[entry.field]))
return logArray.join(" | ")
}

const buildMetadataFromHeaders = headers => {
const responseMetadata = {}
Array.from(headers).forEach(([key, value]) => {
responseMetadata[key.replace(/-/g, "_")] = value
})
return responseMetadata
}

// Batching
const BATCH_INTERVAL_MS = 500
const MAX_REQUESTS_PER_BATCH = 100
const WORKER_ID = makeid(6)

let workerTimestamp

let batchTimeoutReached = true
let logEventsBatch = []

// Backoff
const BACKOFF_INTERVAL = 10000
let backoff = 0

async function addToBatch(body, connectingIp, event) {
logEventsBatch.push(body)

if (logEventsBatch.length >= MAX_REQUESTS_PER_BATCH) {
event.waitUntil(postBatch(event))
}

return true
}

async function handleRequest(event) {
const { request } = event

const requestMetadata = buildMetadataFromHeaders(request.headers)

const t1 = Date.now()
const response = await fetch(request)
const originTimeMs = Date.now() - t1

const rUrl = request.url
const rMeth = request.method
const rCf = request.cf

if (!!rCf) {
if (!!rCf.tlsClientAuth) {
delete rCf.tlsClientAuth
}

if (!!rCf.tlsExportedAuthenticator) {
  delete rCf.tlsExportedAuthenticator
}

}

const responseMetadata = buildMetadataFromHeaders(response.headers)

const eventBody = {
blog.liuzhen932.top
blog.liuzhen932.top
blog.liuzhen932.top

blog.liuzhen932.top
blog.liuzhen932.top
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message: buildLogMessage(request, response),
dt: new Date().toISOString(),
metadata: {
  response: {
    headers: responseMetadata,
    origin_time: originTimeMs,
    status_code: response.status,
  },
  request: {
    url: rUrl,
    method: rMeth,
    headers: requestMetadata,
    cf: rCf,
  },
  cloudflare_worker: {
    version: CF_APP_VERSION,
    worker_id: WORKER_ID,
    worker_started: workerTimestamp,
  },
},

}
event.waitUntil(
addToBatch(eventBody, requestMetadata.cf_connecting_ip, event),
)

return response
}

const fetchAndSetBackOff = async (lfRequest, event) => {
if (backoff <= Date.now()) {
const resp = await fetch(logtailApiURL, lfRequest)
if (resp.status === 403 || resp.status === 429) {
backoff = Date.now() + BACKOFF_INTERVAL
}
}

event.waitUntil(scheduleBatch(event))

return true
}

const postBatch = async event => {
const batchInFlight = [...logEventsBatch]
logEventsBatch = []
const rHost = batchInFlight[0].metadata.request.headers.host
const body = JSON.stringify(batchInFlight)
const request = {
method: "POST",
headers: {
"Authorization": Bearer ${apiKey},
"Content-Type": "application/json",
"User-Agent": Cloudflare Worker via ${rHost},
},
body,
}
event.waitUntil(fetchAndSetBackOff(request, event))
}

const scheduleBatch = async event => {
if (batchTimeoutReached) {
batchTimeoutReached = false
await sleep(BATCH_INTERVAL_MS)
if (logEventsBatch.length > 0) {
event.waitUntil(postBatch(event))
}
batchTimeoutReached = true
}
return true
}

addEventListener("fetch", event => {
event.passThroughOnException()
actions_waddleconst CF_APP_VERSION = '1.0.0'

const logtailApiURL = "https://in.logtail.com/";
const apiKey = "uta9KrW8vW64taJ9X8bFcFpZ";

const options = {
metadata: headers.map(value => ({ field: value })),
}

const sleep = ms => {
return new Promise(resolve => {
setTimeout(resolve, ms)
})
}

const logArray = []
options.metadata.forEach(entry => logArray.push(logDefs[entry.field]))
return logArray.join(" | ")
}

const buildMetadataFromHeaders = headers => {
const responseMetadata = {}
Array.from(headers).forEach(([key, value]) => {
responseMetadata[key.replace(/-/g, "_")] = value
})
return responseMetadata
}

// Batching
const BATCH_INTERVAL_MS = 500
const MAX_REQUESTS_PER_BATCH = 100
const WORKER_ID = makeid(6)

let workerTimestamp

let batchTimeoutReached = true
let logEventsBatch = []

// Backoff
const BACKOFF_INTERVAL = 10000
let backoff = 0

async function addToBatch(body, connectingIp, event) {
logEventsBatch.push(body)

if (logEventsBatch.length >= MAX_REQUESTS_PER_BATCH) {
event.waitUntil(postBatch(event))
}

return true
}

async function handleRequest(event) {
const { request } = event

const requestMetadata = buildMetadataFromHeaders(request.headers)

const t1 = Date.now()
const response = await fetch(request)
const originTimeMs = Date.now() - t1

const rUrl = request.url
const rMeth = request.method
const rCf = request.cf

if (!!rCf) {
if (!!rCf.tlsClientAuth) {
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  delete rCf.tlsClientAuth
}

if (!!rCf.tlsExportedAuthenticator) {
  delete rCf.tlsExportedAuthenticator
}

}

const responseMetadata = buildMetadataFromHeaders(response.headers)

const eventBody = {
message: buildLogMessage(request, response),
dt: new Date().toISOString(),
metadata: {
response: {
headers: responseMetadata,
origin_time: originTimeMs,
status_code: response.status,
},
request: {
url: rUrl,
method: rMeth,
headers: requestMetadata,
cf: rCf,
},
cloudflare_worker: {
version: CF_APP_VERSION,
worker_id: WORKER_ID,
worker_started: workerTimestamp,
},
},
}
event.waitUntil(
addToBatch(eventBody, requestMetadata.cf_connecting_ip, event),
)

return response
}

event.waitUntil(scheduleBatch(event))

return true
}

addEventListener("fetch", event => {
event.passThroughOnException()

if (!workerTimestamp) {
workerTimestamp = new Date().toISOString()
}

event.waitUntil(scheduleBatch(event))
event.respondWith(handleRequest(event))
})actions_waddleconst CF_APP_VERSION = '1.0.0'

const logtailApiURL = "https://in.logtail.com/";
const apiKey = "uta9KrW8vW64taJ9X8bFcFpZ";

const headers = [
"rMeth",
"rUrl",
"uAgent",
"cfRay",
"cIP",
"statusCode",
"contentLength",
"cfCacheStatus",
"contentType",
"responseConnection",
"requestConnection",
"cacheControl",
"acceptRanges",
"expectCt",
"expires",
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"lastModified",
"vary",
"server",
"etag",
"date",
"transferEncoding",
]

const options = {
metadata: headers.map(value => ({ field: value })),
}

const sleep = ms => {
return new Promise(resolve => {
setTimeout(resolve, ms)
})
}

const logArray = []
options.metadata.forEach(entry => logArray.push(logDefs[entry.field]))
return logArray.join(" | ")
}

const buildMetadataFromHeaders = headers => {
const responseMetadata = {}
Array.from(headers).forEach(([key, value]) => {
responseMetadata[key.replace(/-/g, "_")] = value
})
return responseMetadata
}

// Batching
const BATCH_INTERVAL_MS = 500
const MAX_REQUESTS_PER_BATCH = 100
const WORKER_ID = makeid(6)

let workerTimestamp

let batchTimeoutReached = true
let logEventsBatch = []

// Backoff
const BACKOFF_INTERVAL = 10000
let backoff = 0

async function addToBatch(body, connectingIp, event) {
logEventsBatch.push(body)

if (logEventsBatch.length >= MAX_REQUESTS_PER_BATCH) {
event.waitUntil(postBatch(event))
}

return true
}

async function handleRequest(event) {
const { request } = event

const requestMetadata = buildMetadataFromHeaders(request.headers)

const t1 = Date.now()
const response = await fetch(request)
const originTimeMs = Date.now() - t1

const rUrl = request.url
const rMeth = request.method
const rCf = request.cf

if (!!rCf) {
if (!!rCf.tlsClientAuth) {
delete rCf.tlsClientAuth
}

if (!!rCf.tlsExportedAuthenticator) {
  delete rCf.tlsExportedAuthenticator
}

}

const responseMetadata = buildMetadataFromHeaders(response.headers)

return response
}

event.waitUntil(scheduleBatch(event))

return true
}

addEventListener("fetch", event => {
event.passThroughOnException()

if (!workerTimestamp) {
workerTimestamp = new Date().toISOString()
}

event.waitUntil(scheduleBatch(event))
event.respondWith(handleRequest(event))
})
if (!workerTimestamp) {
workerTimestamp = new Date().toISOString()
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}

event.waitUntil(scheduleBatch(event))
event.respondWith(handleRequest(event))
})

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posted on 2022-12-05 20:12 HackPig520 阅读(57) 评论(0) 编辑收藏举报