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feat: Trojan analyzer based on github.com/XTLS/Trojan-killer
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@ -23,6 +23,7 @@ Linux that's in many ways more powerful than the real thing. It's cyber sovereig
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- HTTP, TLS, DNS, SSH, 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/data/paper/paper.pdf)
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- Trojan (proxy protocol) detection based on Trojan-killer (https://github.com/XTLS/Trojan-killer)
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- [WIP] Machine learning based traffic classification
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- Flow-based multicore load balancing
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- Connection offloading
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@ -90,6 +91,10 @@ to [Expr Language Definition](https://expr-lang.org/docs/language-definition).
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action: block
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expr: fet != nil && fet.yes
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- name: block trojan
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action: block
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expr: trojan != nil && trojan.yes
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- name: v2ex dns poisoning
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action: modify
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modifier:
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@ -20,6 +20,7 @@ OpenGFW 是一个 Linux 上灵活、易用、开源的 [GFW](https://zh.wikipedi
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- 完整的 IP/TCP 重组,各种协议解析器
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- HTTP, TLS, DNS, SSH, 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/data/paper/paper.pdf)
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- 基于 Trojan-killer 的 Trojan 检测 (https://github.com/XTLS/Trojan-killer)
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- [开发中] 基于机器学习的流量分类
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- 基于流的多核负载均衡
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- 连接 offloading
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@ -85,6 +86,10 @@ workers:
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action: block
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expr: fet != nil && fet.yes
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- name: block trojan
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action: block
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expr: trojan != nil && trojan.yes
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- name: v2ex dns poisoning
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action: modify
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modifier:
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91
analyzer/tcp/trojan.go
Normal file
91
analyzer/tcp/trojan.go
Normal file
@ -0,0 +1,91 @@
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package tcp
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import (
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"bytes"
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"github.com/apernet/OpenGFW/analyzer"
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)
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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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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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type TrojanAnalyzer struct{}
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func (a *TrojanAnalyzer) Name() string {
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return "trojan"
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}
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func (a *TrojanAnalyzer) Limit() int {
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return 16384
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}
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func (a *TrojanAnalyzer) NewTCP(info analyzer.TCPInfo, logger analyzer.Logger) analyzer.TCPStream {
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return newTrojanStream(logger)
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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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}
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func newTrojanStream(logger analyzer.Logger) *trojanStream {
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return &trojanStream{logger: logger}
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}
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func (s *trojanStream) Feed(rev, start, end bool, skip int, data []byte) (u *analyzer.PropUpdate, done bool) {
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if skip != 0 {
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return nil, true
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}
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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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}
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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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} 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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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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},
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}, true
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}
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s.upCount += len(data)
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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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}
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func (s *trojanStream) Close(limited bool) *analyzer.PropUpdate {
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return nil
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}
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@ -89,6 +89,7 @@ var analyzers = []analyzer.Analyzer{
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&tcp.HTTPAnalyzer{},
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&tcp.SSHAnalyzer{},
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&tcp.TLSAnalyzer{},
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&tcp.TrojanAnalyzer{},
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&udp.DNSAnalyzer{},
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}
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