Files
fscan/common/state.go
T
ZacharyZcR 71b92d4408 feat: v2.1.0 核心重构与功能增强
## 架构重构
- 全局变量消除,迁移至 Config/State 对象
- SMB 插件融合(smb/smb2/smbghost/smbinfo)
- 服务探测重构,实现 Nmap 风格 fallback 机制
- 输出系统重构,TXT 实时刷盘 + 双写机制
- i18n 框架升级至 go-i18n

## 性能优化
- 正则表达式预编译
- 内存优化 map[string]struct{}
- 并发指纹匹配
- SOCKS5 连接复用
- 滑动窗口调度 + 自适应线程池

## 新功能
- Web 管理界面
- 多格式 POC 适配(xray/afrog)
- 增强指纹库(3139条)
- Favicon hash 指纹识别
- 插件选择性编译(Build Tags)
- fscan-lab 靶场环境
- 默认端口扩展(62→133)

## 构建系统
- 添加 no_local tag 支持排除本地插件
- 多版本构建:fscan/fscan-nolocal/fscan-web
- CI 添加 snapshot 模式支持仅测试构建

## Bug 修复
- 修复 120+ 个问题,包括 RDP panic、批量扫描漏报、
  JSON 输出格式、Redis 检测、Context 超时等

## 测试增强
- 单元测试覆盖率 74-100%
- 并发安全测试
- 集成测试(Web/端口/服务/SSH/ICMP)
2026-01-11 20:16:23 +08:00

458 lines
13 KiB
Go

package common
import (
"encoding/json"
"sync"
"sync/atomic"
"time"
"github.com/juju/ratelimit"
)
/*
state.go - 运行时状态管理
可变状态,有明确的所有权和线程安全保护。
所有修改通过方法进行,原子操作保证并发安全。
*/
// =============================================================================
// State - 可变运行时状态
// =============================================================================
// State 扫描器运行时状态 - 线程安全
type State struct {
// 计数器 - 原子操作
packetCount int64
tcpPacketCount int64
tcpSuccessPacketCount int64
tcpFailedPacketCount int64
udpPacketCount int64
httpPacketCount int64
resourceExhaustedCount int64
// 任务计数
end int64
num int64
// 时间
startTime time.Time
// 输出互斥锁
outputMutex sync.Mutex
// 限速器 - 统一使用令牌桶算法
icmpLimiter *ratelimit.Bucket // ICMP包限速(秒级平滑)
packetLimiter *ratelimit.Bucket // 通用发包限速
icmpInitOnce sync.Once
packetInitOnce sync.Once
// 运行时目标数据(解析后填充)
urls []string
hostPorts []string
urlsMu sync.RWMutex
// Shell状态(插件设置)
forwardShellActive int32 // 使用int32以便原子操作
reverseShellActive int32
socks5ProxyActive int32
}
// NewState 创建新的状态对象
func NewState() *State {
return &State{
startTime: time.Now(),
}
}
// =============================================================================
// 包计数器方法 - 原子操作
// =============================================================================
// IncrementPacketCount 增加总包计数
func (s *State) IncrementPacketCount() int64 {
return atomic.AddInt64(&s.packetCount, 1)
}
// IncrementTCPSuccessPacketCount 增加TCP成功连接包计数
func (s *State) IncrementTCPSuccessPacketCount() int64 {
atomic.AddInt64(&s.tcpSuccessPacketCount, 1)
atomic.AddInt64(&s.tcpPacketCount, 1)
return atomic.AddInt64(&s.packetCount, 1)
}
// IncrementTCPFailedPacketCount 增加TCP失败连接包计数
func (s *State) IncrementTCPFailedPacketCount() int64 {
atomic.AddInt64(&s.tcpFailedPacketCount, 1)
atomic.AddInt64(&s.tcpPacketCount, 1)
return atomic.AddInt64(&s.packetCount, 1)
}
// IncrementUDPPacketCount 增加UDP包计数
func (s *State) IncrementUDPPacketCount() int64 {
atomic.AddInt64(&s.udpPacketCount, 1)
return atomic.AddInt64(&s.packetCount, 1)
}
// IncrementHTTPPacketCount 增加HTTP包计数
func (s *State) IncrementHTTPPacketCount() int64 {
atomic.AddInt64(&s.httpPacketCount, 1)
return atomic.AddInt64(&s.packetCount, 1)
}
// IncrementResourceExhaustedCount 增加资源耗尽错误计数
func (s *State) IncrementResourceExhaustedCount() {
atomic.AddInt64(&s.resourceExhaustedCount, 1)
}
// =============================================================================
// 获取计数器方法 - 原子操作
// =============================================================================
// GetPacketCount 获取总包计数
func (s *State) GetPacketCount() int64 {
return atomic.LoadInt64(&s.packetCount)
}
// GetTCPPacketCount 获取TCP包计数
func (s *State) GetTCPPacketCount() int64 {
return atomic.LoadInt64(&s.tcpPacketCount)
}
// GetTCPSuccessPacketCount 获取TCP成功连接包计数
func (s *State) GetTCPSuccessPacketCount() int64 {
return atomic.LoadInt64(&s.tcpSuccessPacketCount)
}
// GetTCPFailedPacketCount 获取TCP失败连接包计数
func (s *State) GetTCPFailedPacketCount() int64 {
return atomic.LoadInt64(&s.tcpFailedPacketCount)
}
// GetUDPPacketCount 获取UDP包计数
func (s *State) GetUDPPacketCount() int64 {
return atomic.LoadInt64(&s.udpPacketCount)
}
// GetHTTPPacketCount 获取HTTP包计数
func (s *State) GetHTTPPacketCount() int64 {
return atomic.LoadInt64(&s.httpPacketCount)
}
// GetResourceExhaustedCount 获取资源耗尽错误计数
func (s *State) GetResourceExhaustedCount() int64 {
return atomic.LoadInt64(&s.resourceExhaustedCount)
}
// ResetPacketCounters 重置所有包计数器
func (s *State) ResetPacketCounters() {
atomic.StoreInt64(&s.packetCount, 0)
atomic.StoreInt64(&s.tcpPacketCount, 0)
atomic.StoreInt64(&s.tcpSuccessPacketCount, 0)
atomic.StoreInt64(&s.tcpFailedPacketCount, 0)
atomic.StoreInt64(&s.udpPacketCount, 0)
atomic.StoreInt64(&s.httpPacketCount, 0)
atomic.StoreInt64(&s.resourceExhaustedCount, 0)
}
// =============================================================================
// 任务计数器方法
// =============================================================================
// GetEnd 获取结束计数
func (s *State) GetEnd() int64 {
return atomic.LoadInt64(&s.end)
}
// GetNum 获取数量计数
func (s *State) GetNum() int64 {
return atomic.LoadInt64(&s.num)
}
// IncrementEnd 增加结束计数
func (s *State) IncrementEnd() int64 {
return atomic.AddInt64(&s.end, 1)
}
// IncrementNum 增加数量计数
func (s *State) IncrementNum() int64 {
return atomic.AddInt64(&s.num, 1)
}
// SetEnd 设置结束计数
func (s *State) SetEnd(val int64) {
atomic.StoreInt64(&s.end, val)
}
// SetNum 设置数量计数
func (s *State) SetNum(val int64) {
atomic.StoreInt64(&s.num, val)
}
// =============================================================================
// 时间和进度方法
// =============================================================================
// GetStartTime 获取开始时间
func (s *State) GetStartTime() time.Time {
return s.startTime
}
// =============================================================================
// 输出互斥锁方法
// =============================================================================
// LockOutput 锁定输出
func (s *State) LockOutput() {
s.outputMutex.Lock()
}
// UnlockOutput 解锁输出
func (s *State) UnlockOutput() {
s.outputMutex.Unlock()
}
// GetOutputMutex 获取输出互斥锁指针
func (s *State) GetOutputMutex() *sync.Mutex {
return &s.outputMutex
}
// =============================================================================
// ICMP 限速器方法
// =============================================================================
// GetICMPLimiter 获取 ICMP 令牌桶限速器(延迟初始化)
func (s *State) GetICMPLimiter(icmpRate float64) *ratelimit.Bucket {
s.icmpInitOnce.Do(func() {
const (
maxRate = 1.0 * 1024 * 1024 // 1MB/s 基准速率
packetSize = 70 // ICMP 包平均大小
)
adjustedRate := maxRate * icmpRate
packetsPerSecond := adjustedRate / float64(packetSize)
if packetsPerSecond < 1 {
packetsPerSecond = 1
}
bucketLimit := int64(packetsPerSecond)
packetTime := time.Second / time.Duration(packetsPerSecond)
s.icmpLimiter = ratelimit.NewBucketWithQuantum(
packetTime,
bucketLimit,
int64(1),
)
})
return s.icmpLimiter
}
// =============================================================================
// 性能统计导出
// =============================================================================
// PerfStatsData 性能统计数据结构
type PerfStatsData struct {
TotalPackets int64 `json:"total_packets"`
TCPPackets int64 `json:"tcp_packets"`
TCPSuccess int64 `json:"tcp_success"`
TCPFailed int64 `json:"tcp_failed"`
UDPPackets int64 `json:"udp_packets"`
HTTPPackets int64 `json:"http_packets"`
ResourceExhausted int64 `json:"resource_exhausted"`
ScanDurationMs int64 `json:"scan_duration_ms"`
PacketsPerSecond float64 `json:"packets_per_second"`
SuccessRate float64 `json:"success_rate"`
TargetsScanned int64 `json:"targets_scanned"`
}
// GetPerfStats 获取性能统计数据
func (s *State) GetPerfStats() PerfStatsData {
duration := time.Since(s.startTime)
durationMs := duration.Milliseconds()
totalPackets := atomic.LoadInt64(&s.packetCount)
tcpSuccess := atomic.LoadInt64(&s.tcpSuccessPacketCount)
tcpFailed := atomic.LoadInt64(&s.tcpFailedPacketCount)
tcpTotal := atomic.LoadInt64(&s.tcpPacketCount)
var pps float64
if durationMs > 0 {
pps = float64(totalPackets) / (float64(durationMs) / 1000.0)
}
var successRate float64
if tcpTotal > 0 {
successRate = float64(tcpSuccess) / float64(tcpTotal) * 100.0
}
return PerfStatsData{
TotalPackets: totalPackets,
TCPPackets: tcpTotal,
TCPSuccess: tcpSuccess,
TCPFailed: tcpFailed,
UDPPackets: atomic.LoadInt64(&s.udpPacketCount),
HTTPPackets: atomic.LoadInt64(&s.httpPacketCount),
ResourceExhausted: atomic.LoadInt64(&s.resourceExhaustedCount),
ScanDurationMs: durationMs,
PacketsPerSecond: pps,
SuccessRate: successRate,
TargetsScanned: atomic.LoadInt64(&s.num),
}
}
// GetPerfStatsJSON 获取性能统计 JSON 字符串
func (s *State) GetPerfStatsJSON() string {
stats := s.GetPerfStats()
data, err := json.Marshal(stats)
if err != nil {
return "{}"
}
return string(data)
}
// =============================================================================
// 运行时目标数据方法
// =============================================================================
// GetURLs 获取URL列表
func (s *State) GetURLs() []string {
s.urlsMu.RLock()
defer s.urlsMu.RUnlock()
return s.urls
}
// SetURLs 设置URL列表
func (s *State) SetURLs(urls []string) {
s.urlsMu.Lock()
defer s.urlsMu.Unlock()
s.urls = urls
}
// GetHostPorts 获取主机端口列表
func (s *State) GetHostPorts() []string {
s.urlsMu.RLock()
defer s.urlsMu.RUnlock()
return s.hostPorts
}
// SetHostPorts 设置主机端口列表
func (s *State) SetHostPorts(hostPorts []string) {
s.urlsMu.Lock()
defer s.urlsMu.Unlock()
s.hostPorts = hostPorts
}
// ClearHostPorts 清空主机端口列表
func (s *State) ClearHostPorts() {
s.urlsMu.Lock()
defer s.urlsMu.Unlock()
s.hostPorts = nil
}
// =============================================================================
// Shell状态方法
// =============================================================================
// IsForwardShellActive 检查正向Shell是否活跃
func (s *State) IsForwardShellActive() bool {
return atomic.LoadInt32(&s.forwardShellActive) == 1
}
// SetForwardShellActive 设置正向Shell活跃状态
func (s *State) SetForwardShellActive(active bool) {
if active {
atomic.StoreInt32(&s.forwardShellActive, 1)
} else {
atomic.StoreInt32(&s.forwardShellActive, 0)
}
}
// IsReverseShellActive 检查反向Shell是否活跃
func (s *State) IsReverseShellActive() bool {
return atomic.LoadInt32(&s.reverseShellActive) == 1
}
// SetReverseShellActive 设置反向Shell活跃状态
func (s *State) SetReverseShellActive(active bool) {
if active {
atomic.StoreInt32(&s.reverseShellActive, 1)
} else {
atomic.StoreInt32(&s.reverseShellActive, 0)
}
}
// IsSocks5ProxyActive 检查SOCKS5代理是否活跃
func (s *State) IsSocks5ProxyActive() bool {
return atomic.LoadInt32(&s.socks5ProxyActive) == 1
}
// SetSocks5ProxyActive 设置SOCKS5代理活跃状态
func (s *State) SetSocks5ProxyActive(active bool) {
if active {
atomic.StoreInt32(&s.socks5ProxyActive, 1)
} else {
atomic.StoreInt32(&s.socks5ProxyActive, 0)
}
}
// =============================================================================
// 发包频率控制方法 - 统一使用令牌桶算法
// =============================================================================
// GetPacketLimiter 获取通用发包限速器(延迟初始化)
// rateLimit: 每分钟允许的包数,转换为令牌桶的秒级速率
func (s *State) GetPacketLimiter(rateLimit int64) *ratelimit.Bucket {
s.packetInitOnce.Do(func() {
if rateLimit <= 0 {
return
}
// 将每分钟包数转换为每秒速率
packetsPerSecond := float64(rateLimit) / 60.0
if packetsPerSecond < 1 {
packetsPerSecond = 1
}
// 令牌填充间隔
fillInterval := time.Second / time.Duration(packetsPerSecond)
// 桶容量设为每秒速率的2倍,允许小突发
bucketCapacity := int64(packetsPerSecond * 2)
if bucketCapacity < 1 {
bucketCapacity = 1
}
s.packetLimiter = ratelimit.NewBucketWithQuantum(
fillInterval,
bucketCapacity,
1,
)
})
return s.packetLimiter
}
// CheckAndIncrementPacketRate 检查并消耗发包令牌
// 返回: (可以发包, 错误)
// 使用令牌桶算法,统一与ICMP限速器的实现方式
func (s *State) CheckAndIncrementPacketRate(rateLimit int64) (bool, error) {
if rateLimit <= 0 {
return true, nil
}
limiter := s.GetPacketLimiter(rateLimit)
if limiter == nil {
return true, nil
}
// 尝试获取一个令牌(非阻塞)
if limiter.TakeAvailable(1) < 1 {
return false, &PacketLimitError{
Sentinel: ErrPacketRateLimited,
Limit: rateLimit,
}
}
return true, nil
}