detecting-attacks-on-scada-systems
Helps your agent identify attacks on industrial control systems. It detects manipulations and unauthorized accesses.
What it does
This tool helps identify cyber attacks on industrial control systems (SCADA). It monitors communication to detect suspicious activities, like data manipulation or unauthorized commands.
When to use it
- ✓When setting up SCADA system security for the first time.
- ✓When investigating a suspected attack on an industrial control system.
- ✓When creating rules to detect industrial-specific attack patterns.
Example of what to ask your AI
“Monitor my SCADA system for intrusion attempts.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes SCADA network traffic to understand normal communication patterns. It then looks for deviations from these patterns that might indicate an attack.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-attacks-on-scada-systemsOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/detecting-attacks-on-scada-systems/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Detecting Attacks on SCADA Systems
When to Use
- When deploying intrusion detection capabilities in a SCADA environment for the first time
- When investigating suspected cyber attacks against industrial control systems
- When building detection rules for OT-specific attack patterns (Stuxnet, TRITON, Industroyer)
- When integrating OT network monitoring with an enterprise SOC for unified threat visibility
- When responding to alerts from OT security monitoring tools (Dragos, Nozomi, Claroty)
Do not use for detecting attacks on IT-only networks without SCADA/ICS components, for building generic network IDS rules (see building-detection-rules-with-sigma), or for incident response procedures after an attack is confirmed (see performing-ot-incident-response).
Prerequisites
- Passive network monitoring sensors deployed on SPAN/TAP ports at OT network boundaries
- OT intrusion detection system (Dragos Platform, Nozomi Guardian, Claroty xDome, or Suricata with OT rulesets)
- Understanding of industrial protocols in use (Modbus, DNP3, OPC UA, EtherNet/IP, S7comm)
- Baseline of normal SCADA communication patterns (polling intervals, function codes, register ranges)
- Access to process historian data for physical process anomaly correlation
Workflow
Step 1: Establish SCADA Communication Baselines
Before detecting anomalies, establish what normal SCADA traffic looks like. Industrial protocols are highly deterministic - the same master polls the same slaves at the same intervals reading the same registers.
#!/usr/bin/env python3
"""SCADA Communication Baseline Builder.
Analyzes OT network traffic to establish deterministic baselines for
Modbus/TCP, DNP3, EtherNet/IP, and S7comm communications.
"""
import json
import sys
from collections import defaultdict
from datetime import datetime
from statistics import mean, stdev
try:
from scapy.all import rdpcap, IP, TCP, UDP
except ImportError:
print("Install scapy: pip install scapy")
sys.exit(1)
MODBUS_FUNC_NAMES = {
1: "Read Coils", 2: "Read Discrete Inputs",
3: "Read Holding Registers", 4: "Read Input Registers",
5: "Write Single Coil", 6: "Write Single Register",
8: "Diagnostics", 15: "Write Multiple Coils",
16: "Write Multiple Registers", 17: "Report Slave ID",
22: "Mask Write Register", 23: "Read/Write Multiple Registers",
43: "Encapsulated Interface Transport",
}
class SCADABaselineBuilder:
"""Builds deterministic baselines from SCADA traffic captures."""
def __init__(self):
self.modbus_sessions = defaultdict(lambda: {
"func_codes": defaultdict(int),
"register_ranges": set(),
"intervals": [],
"last_seen": None,
"request_count": 0,
})
self.communication_pairs = defaultdict(lambda: {
"protocols": set(),
"packet_count": 0,
"first_seen": None,
"last_seen": None,
})
def process_pcap(self, pcap_file):
"""Process pcap file to build SCADA baselines."""
packets = rdpcap(pcap_file)
print(f"[*] Processing {len(packets)} packets for baseline...")
for pkt in packets:
if not pkt.haslayer(IP):
continue
src = pkt[IP].src
dst = pkt[IP].dst
ts = float(pkt.time)
# Track communication pairs
pair_key = f"{src}->{dst}"
pair = self.communication_pairs[pair_key]
pair["packet_count"] += 1
if pair["first_seen"] is None:
pair["first_seen"] = ts
pair["last_seen"] = ts
# Analyze Modbus/TCP
if pkt.haslayer(TCP) and pkt[TCP].dport == 502:
self._analyze_modbus(pkt, src, dst, ts)
def _analyze_modbus(self, pkt, src, dst, timestamp):
"""Extract Modbus function codes and register ranges."""
payload = bytes(pkt[TCP].payload)
if len(payload) < 8:
return
# MBAP header: transaction_id(2) + protocol_id(2) + length(2) + unit_id(1) + func_code(1)
func_code = payload[7]
session_key = f"{src}->{dst}"
session = self.modbus_sessions[session_key]
session["func_codes"][func_code] += 1
session["request_count"] += 1
session["protocols"] = {"Modbus/TCP"}
# Track polling intervals
if session["last_seen"] is not None:
…
FAQ
What are SCADA systems?
SCADA (Supervisory Control and Data Acquisition) systems are used to monitor and control industrial processes, such as power generation, water treatment, or manufacturing.
What types of attacks does it detect?
It detects attacks like man-in-the-middle, unauthorized command injection, interface compromise, and historical data manipulation.
Do I need special equipment?
Yes, it's recommended to have passive network monitoring sensors and an intrusion detection system focused on industrial (OT) environments.
Details
Original description by the author
This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command injection into PLCs, HMI compromise, historian data manipulation, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly
Popularity
- GitHub stars
- 35k
- Ranking position
- #5633
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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