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Merge pull request #106 from apernet/wip-new-trojan
feat: new heuristics for trojan analyzer
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commit
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@ -21,7 +21,7 @@ Telegram グループ: https://t.me/OpGFW
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- フル IP/TCP 再アセンブル、各種プロトコルアナライザー
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- HTTP、TLS、QUIC、DNS、SSH、SOCKS4/5、WireGuard、その他多数
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- Shadowsocks の「完全に暗号化されたトラフィック」の検出など (https://gfw.report/publications/usenixsecurity23/en/)
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- トロイの木馬キラー (https://github.com/XTLS/Trojan-killer) に基づくトロイの木馬 (プロキシプロトコル) 検出
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- Trojan プロキシプロトコルの検出
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- [WIP] 機械学習に基づくトラフィック分類
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- IPv4 と IPv6 をフルサポート
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- フローベースのマルチコア負荷分散
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@ -25,7 +25,7 @@ Telegram group: https://t.me/OpGFW
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- HTTP, TLS, QUIC, DNS, SSH, SOCKS4/5, WireGuard, and many more to come
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- "Fully encrypted traffic" detection for Shadowsocks,
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etc. (https://gfw.report/publications/usenixsecurity23/en/)
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- Trojan (proxy protocol) detection based on Trojan-killer (https://github.com/XTLS/Trojan-killer)
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- Trojan (proxy protocol) detection
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- [WIP] Machine learning based traffic classification
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- Full IPv4 and IPv6 support
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- Flow-based multicore load balancing
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@ -21,7 +21,7 @@ Telegram 群组: https://t.me/OpGFW
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- 完整的 IP/TCP 重组,各种协议解析器
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- HTTP, TLS, QUIC, DNS, SSH, SOCKS4/5, WireGuard, 更多协议正在开发中
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- Shadowsocks 等 "全加密流量" 检测 (https://gfw.report/publications/usenixsecurity23/zh/)
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- 基于 Trojan-killer 的 Trojan 检测 (https://github.com/XTLS/Trojan-killer)
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- Trojan 协议检测
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- [开发中] 基于机器学习的流量分类
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- 同等支持 IPv4 和 IPv6
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- 基于流的多核负载均衡
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@ -9,22 +9,14 @@ import (
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var _ analyzer.TCPAnalyzer = (*TrojanAnalyzer)(nil)
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// CCS stands for "Change Cipher Spec"
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var trojanCCS = []byte{20, 3, 3, 0, 1, 1}
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var ccsPattern = []byte{20, 3, 3, 0, 1, 1}
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const (
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trojanUpLB = 650
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trojanUpUB = 1000
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trojanDownLB1 = 170
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trojanDownUB1 = 180
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trojanDownLB2 = 3000
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trojanDownUB2 = 7500
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)
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// TrojanAnalyzer uses a very simple packet length based check to determine
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// if a TLS connection is actually the Trojan proxy protocol.
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// The algorithm is from the following project, with small modifications:
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// https://github.com/XTLS/Trojan-killer
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// Warning: Experimental only. This method is known to have significant false positives and false negatives.
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// TrojanAnalyzer uses length-based heuristics to detect Trojan traffic based on
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// its "TLS-in-TLS" nature. The heuristics are trained using a decision tree with
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// about 2000 samples. This is highly experimental and is known to have significant
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// false positives (about 8% false positives & 2% false negatives).
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// We do NOT recommend directly blocking all positive connections, as this is likely
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// to break many normal TLS connections.
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type TrojanAnalyzer struct{}
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func (a *TrojanAnalyzer) Name() string {
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@ -32,7 +24,7 @@ func (a *TrojanAnalyzer) Name() string {
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}
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func (a *TrojanAnalyzer) Limit() int {
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return 16384
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return 512000
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}
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func (a *TrojanAnalyzer) NewTCP(info analyzer.TCPInfo, logger analyzer.Logger) analyzer.TCPStream {
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@ -40,10 +32,12 @@ func (a *TrojanAnalyzer) NewTCP(info analyzer.TCPInfo, logger analyzer.Logger) a
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}
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type trojanStream struct {
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logger analyzer.Logger
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active bool
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upCount int
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downCount int
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logger analyzer.Logger
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first bool
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count bool
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rev bool
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seq [4]int
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seqIndex int
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}
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func newTrojanStream(logger analyzer.Logger) *trojanStream {
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@ -57,33 +51,48 @@ func (s *trojanStream) Feed(rev, start, end bool, skip int, data []byte) (u *ana
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if len(data) == 0 {
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return nil, false
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}
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if !rev && !s.active && len(data) >= 6 && bytes.Equal(data[:6], trojanCCS) {
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// Client CCS encountered, start counting
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s.active = true
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if s.first {
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s.first = false
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// Stop if it's not a valid TLS connection
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if !(!rev && len(data) >= 3 && data[0] >= 0x16 && data[0] <= 0x17 &&
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data[1] == 0x03 && data[2] <= 0x09) {
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return nil, true
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}
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}
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if s.active {
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if rev {
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// Down direction
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s.downCount += len(data)
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if !rev && !s.count && len(data) >= 6 && bytes.Equal(data[:6], ccsPattern) {
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// Client Change Cipher Spec encountered, start counting
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s.count = true
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}
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if s.count {
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if rev == s.rev {
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// Same direction as last time, just update the number
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s.seq[s.seqIndex] = len(data)
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} else {
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// Up direction
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if s.upCount >= trojanUpLB && s.upCount <= trojanUpUB &&
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((s.downCount >= trojanDownLB1 && s.downCount <= trojanDownUB1) ||
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(s.downCount >= trojanDownLB2 && s.downCount <= trojanDownUB2)) {
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// Different direction, bump the index
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s.seqIndex += 1
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if s.seqIndex == 4 {
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// Time to evaluate
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yes := s.seq[0] >= 100 &&
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s.seq[1] >= 88 &&
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s.seq[2] >= 40 &&
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s.seq[3] >= 51
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return &analyzer.PropUpdate{
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Type: analyzer.PropUpdateReplace,
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M: analyzer.PropMap{
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"up": s.upCount,
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"down": s.downCount,
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"yes": true,
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"seq": s.seq,
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"yes": yes,
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},
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}, true
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}
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s.upCount += len(data)
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s.seq[s.seqIndex] = len(data)
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s.rev = rev
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}
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}
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// Give up when either direction is over the limit
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return nil, s.upCount > trojanUpUB || s.downCount > trojanDownUB2
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return nil, false
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}
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func (s *trojanStream) Close(limited bool) *analyzer.PropUpdate {
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@ -251,8 +251,7 @@ Check https://github.com/XTLS/Trojan-killer for more information.
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```json
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{
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"trojan": {
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"down": 4712,
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"up": 671,
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"seq": [170, 282, 167, 470],
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"yes": true
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}
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}
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