Detecting Modbus Protocol Anomalies

检测Modbus协议异常

适用场景

• 在OT环境中部署Modbus专用入侵检测
• 为确定性Modbus轮询模式构建基线模型
• 调查OT监控工具标记的可疑Modbus流量
• 在工业防火墙上实现功能码白名单
• 检测可能操控过程设定点的未授权Modbus写入命令

不适用于端到端保护Modbus通信（Modbus没有原生安全性；防火墙控制参见implementing-network-segmentation-for-ot）、非Modbus协议监控（多协议参见detecting-anomalies-in-industrial-control-systems），或对Modbus实现进行主动模糊测试（参见performing-plc-firmware-security-analysis）。

前置条件

• 监控Modbus/TCP流量的网络SPAN/TAP访问（端口502）
• 带Modbus协议分析器的Zeek（原Bro）或带OT规则集的Suricata
• Python 3.9+，包含用于自定义分析的scapy和pymodbus
• 正常Modbus流量的基线捕获（最少1-2周）
• 授权Modbus客户端、功能码和寄存器映射文档

工作流程

步骤 1：捕获和解析Modbus流量

部署被动监控以捕获所有Modbus/TCP流量，并将其解析为结构化记录用于分析。

#!/usr/bin/env python3
"""Modbus Protocol Anomaly Detection System.

Monitors Modbus/TCP traffic for anomalies including unauthorized
function codes, unusual register access, timing deviations,
and rogue client devices.
"""

import json
import struct
import sys
import time
from collections import defaultdict, deque
from dataclasses import dataclass, field
from datetime import datetime
from statistics import mean, stdev

try:
    from scapy.all import sniff, rdpcap, IP, TCP
except ImportError:
    print("Install scapy: pip install scapy")
    sys.exit(1)


MODBUS_FUNCTION_CODES = {
    1: ("Read Coils", "read"),
    2: ("Read Discrete Inputs", "read"),
    3: ("Read Holding Registers", "read"),
    4: ("Read Input Registers", "read"),
    5: ("Write Single Coil", "write"),
    6: ("Write Single Register", "write"),
    7: ("Read Exception Status", "diagnostic"),
    8: ("Diagnostics", "diagnostic"),
    11: ("Get Comm Event Counter", "diagnostic"),
    12: ("Get Comm Event Log", "diagnostic"),
    15: ("Write Multiple Coils", "write"),
    16: ("Write Multiple Registers", "write"),
    17: ("Report Slave ID", "diagnostic"),
    22: ("Mask Write Register", "write"),
    23: ("Read/Write Multiple Registers", "read_write"),
    43: ("Encapsulated Interface Transport", "diagnostic"),
}


@dataclass
class ModbusAnomaly:
    timestamp: str
    anomaly_type: str
    severity: str
    src_ip: str
    dst_ip: str
    unit_id: int
    func_code: int
    detail: str
    mitre_technique: str = ""


@dataclass
class ModbusSession:
    """跟踪Modbus主站-从站会话状态。"""
    src_ip: str
    dst_ip: str
    func_codes_seen: dict = field(default_factory=lambda: defaultdict(int))
    register_ranges: set = field(default_factory=set)
    intervals: list = field(default_factory=lambda: deque(maxlen=500))
    last_timestamp: float = 0
    request_count: int = 0
    write_count: int = 0


class ModbusAnomalyDetector:
    """Detects anomalies in Modbus/TCP traffic."""

    def __init__(self):
        self.sessions = {}
        self.baseline_sessions = {}
        self.anomalies = []
        self.authorized_clients = set()
        self.authorized_func_codes = {}  # 每会话允许的功能码
        self.packet_count = 0

    def set_authorized_clients(self, clients):
        """Set list of authorized Modbus client IPs."""
        self.authorized_clients = set(clients)

    def set_authorized_func_codes(self, session_key, func_codes):
        """Set allowed function codes for a specific session."""
        self.authorized_func_codes[session_key] = set(func_codes)

    def load_baseline(self, baseline_file):
        """Load baseline profiles from previous capture analysis."""
        with open(baseline_file) as f:
            baseline = json.load(f)
        for key, data in baseline.get("modbus_baselines", {}).items():
            self.baseline_sessions[key] = data
            self.authorized_func_codes[key] = set(data.get("allowed_function_codes", []))
        print(f"[*] 已加载 {len(self.baseline_sessions)} 个Modbus基线")

    def process_packet(self, pkt):
        """Process a single packet for Modbus anomaly detection."""
        if not pkt.haslayer(TCP) or not pkt.haslayer(IP):
            return

        # 检查Modbus/TCP（端口502）
        if pkt[TCP].dport != 502 and pkt[TCP].sport != 502:
            return

        payload = bytes(pkt[TCP].payload)
        if len(payload) < 8:
            return

        self.packet_count += 1
        timestamp = float(pkt.time)
        ts_str = datetime.fromtimestamp(timestamp).isoformat()

        # 解析MBAP报头
        try:
            trans_id = struct.unpack(">H", payload[0:2])[0]
            proto_id = struct.unpack(">H", payload[2:4])[0]
            length = struct.unpack(">H", payload[4:6])[0]
            unit_id = payload[6]
            func_code = payload[7]
        except (IndexError, struct.error):
            return

        # 确定方向
        if pkt[TCP].dport == 502:
            src_ip = pkt[IP].src
            dst_ip = pkt[IP].dst
            is_request = True
        else:
            src_ip = pkt[IP].dst
            dst_ip = pkt[IP].src
            is_request = False

        if not is_request:
            return  # 仅分析请求

        session_key = f"{src_ip}->{dst_ip}"

        # 获取或创建会话
        if session_key not in self.sessions:
            self.sessions[session_key] = ModbusSession(src_ip=src_ip, dst_ip=dst_ip)

        session = self.sessions[session_key]
        session.request_count += 1
        session.func_codes_seen[func_code] += 1

        # ── 异常检测规则 ──

        # 规则1：未授权Modbus客户端
        if self.authorized_clients and src_ip not in self.authorized_clients:
            self.anomalies.append(ModbusAnomaly(
                timestamp=ts_str,
                anomaly_type="UNAUTHORIZED_CLIENT",
                severity="critical",
                src_ip=src_ip, dst_ip=dst_ip,
                unit_id=unit_id, func_code=func_code,
                detail=f"来自未授权客户端 {src_ip} 的Modbus请求",
                mitre_technique="T0886 - Remote Services",
            ))

        # 规则2：未授权功能码
        allowed_fcs = self.authorized_func_codes.get(session_key)
        if allowed_fcs and func_code not in allowed_fcs:
            fc_info = MODBUS_FUNCTION_CODES.get(func_code, (f"Unknown FC{func_code}", "unknown"))
            severity = "critical" if fc_info[1] == "write" else "high"
            self.anomalies.append(ModbusAnomaly(
                timestamp=ts_str,
                anomaly_type="UNAUTHORIZED_FUNCTION_CODE",
                severity=severity,
                src_ip=src_ip, dst_ip=dst_ip,
                unit_id=unit_id, func_code=func_code,
                detail=f"FC {func_code} ({fc_info[0]}) 不在白名单 {sorted(allowed_fcs)} 中",
                mitre_technique="T0855 - Unauthorized Command Message",
            ))

        # 规则3：写操作检测
        if func_code in (5, 6, 15, 16, 22, 23):
            session.write_count += 1
            fc_name = MODBUS_FUNCTION_CODES.get(func_code, ("Unknown", ""))[0]

            # 提取寄存器地址
            if len(payload) >= 10:
                register_addr = struct.unpack(">H", payload[8:10])[0]
                session.register_ranges.add((func_code, register_addr))

                self.anomalies.append(ModbusAnomaly(
                    timestamp=ts_str,
                    anomaly_type="WRITE_OPERATION",
                    severity="high",
                    src_ip=src_ip, dst_ip=dst_ip,
                    unit_id=unit_id, func_code=func_code,
                    detail=f"写入: {fc_name} 到寄存器 {register_addr} 来自 {src_ip}",
                    mitre_technique="T0836 - Modify Parameter",
                ))

        # 规则4：时序异常
        if session.last_timestamp > 0:
            interval = (timestamp - session.last_timestamp) * 1000  # ms
            session.intervals.append(interval)

            baseline = self.baseline_sessions.get(session_key)
            if baseline and len(session.intervals) > 10:
                expected_interval = baseline.get("polling_interval_avg_sec", 0) * 1000
                expected_std = baseline.get("polling_interval_stddev", 0) * 1000

                if expected_std > 0:
                    z_score = abs(interval - expected_interval) / expected_std
                    if z_score > 5.0:
                        self.anomalies.append(ModbusAnomaly(
                            timestamp=ts_str,
                            anomaly_type="TIMING_ANOMALY",
                            severity="medium",
                            src_ip=src_ip, dst_ip=dst_ip,
                            unit_id=unit_id, func_code=func_code,
                            detail=(
                                f"间隔 {interval:.0f}ms 对比基线 "
                                f"{expected_interval:.0f}ms (z={z_score:.1f})"
                            ),
                            mitre_technique="T0831 - Manipulation of Control",
                        ))

        # 规则5：协议违规 - 无效协议ID
        if proto_id != 0:
            self.anomalies.append(ModbusAnomaly(
                timestamp=ts_str,
                anomaly_type="PROTOCOL_VIOLATION",
                severity="high",
                src_ip=src_ip, dst_ip=dst_ip,
                unit_id=unit_id, func_code=func_code,
                detail=f"非标准协议ID {proto_id}（预期为0）",
                mitre_technique="T0830 - Man in the Middle",
            ))

        # 规则6：广播写入（单元ID 0）
        if unit_id == 0 and func_code in (5, 6, 15, 16):
            self.anomalies.append(ModbusAnomaly(
                timestamp=ts_str,
                anomaly_type="BROADCAST_WRITE",
                severity="critical",
                src_ip=src_ip, dst_ip=dst_ip,
                unit_id=unit_id, func_code=func_code,
                detail="广播写入命令（单元ID 0）影响所有从站",
                mitre_technique="T0855 - Unauthorized Command Message",
            ))

        session.last_timestamp = timestamp

    def analyze_pcap(self, pcap_file):
        """Analyze pcap file for Modbus anomalies."""
        print(f"[*] 正在分析 {pcap_file}...")
        packets = rdpcap(pcap_file)
        for pkt in packets:
            self.process_packet(pkt)
        print(f"[*] 已处理 {self.packet_count} 个Modbus数据包")

    def generate_report(self):
        """Generate anomaly detection report."""
        print(f"\n{'='*70}")
        print("MODBUS协议异常检测报告")
        print(f"{'='*70}")
        print(f"分析的数据包数: {self.packet_count}")
        print(f"跟踪的会话数: {len(self.sessions)}")
        print(f"检测到的异常数: {len(self.anomalies)}")

        severity_counts = defaultdict(int)
        type_counts = defaultdict(int)
        for a in self.anomalies:
            severity_counts[a.severity] += 1
            type_counts[a.anomaly_type] += 1

        print(f"\n按严重级别:")
        for sev in ["critical", "high", "medium", "low"]:
            if severity_counts[sev]:
                print(f"  {sev.upper()}: {severity_counts[sev]}")

        print(f"\n按类型:")
        for atype, count in sorted(type_counts.items(), key=lambda x: -x[1]):
            print(f"  {atype}: {count}")

        print(f"\n主要异常:")
        for a in self.anomalies[:15]:
            print(f"  [{a.severity.upper()}] {a.anomaly_type}: {a.detail}")


if __name__ == "__main__":
    detector = ModbusAnomalyDetector()

    if len(sys.argv) > 1:
        # 如果提供则加载基线
        if len(sys.argv) > 2:
            detector.load_baseline(sys.argv[2])
        detector.analyze_pcap(sys.argv[1])
        detector.generate_report()
    else:
        print("用法: python modbus_detector.py <pcap_file> [baseline.json]")

核心概念

工具与系统

• Zeek Modbus Analyzer：带内置Modbus/TCP协议分析和日志记录的网络安全监控工具
• Suricata with ET Open ICS rules：带有Modbus命令注入和异常检测规则的IDS/IPS
• Wireshark Modbus Dissector：具有完整Modbus/TCP和Modbus RTU解码的协议分析器
• PyModbus：用于构建自定义监控和测试工具的Python Modbus库

输出格式

Modbus协议异常检测报告
==========================================
捕获周期: YYYY-MM-DD 至 YYYY-MM-DD
分析的数据包数: [N]
会话数: [N]

异常数: [N]
  UNAUTHORIZED_CLIENT: [N]
  UNAUTHORIZED_FUNCTION_CODE: [N]
  WRITE_OPERATION: [N]
  TIMING_ANOMALY: [N]
  BROADCAST_WRITE: [N]