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Software Security in Critical Energy Facilities Secure Coding, CICD and Supply Chain Risks

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February 26 2026
  • Critical Infrastructure Cybersecurity and Industrial Systems Security

Software Security and SCADA Protection in Critical Energy Facilities

Renewasoft | 2026

Level: Advanced   Audience: SCADA Engineer, HPP Operator, CTO, Infrastructure Investor

Introduction

As hydropower plants digitalize with SCADA and IIoT, automated systems optimize energy production; however, even a small security vulnerability in these systems can lead to physical damage, efficiency loss or operational disruptions. In the 2025 cyber attack on Norway’s Bremanger dam, valves were opened through the control system and excess water was released for four hours[1]. According to NIST, OT/ICS environments carry high reliability, continuity and safety requirements[1]; therefore, layered defense and proactive security measures at both network and software layers are essential.

TL;DR — Executive Summary

  1. IT/OT Separation: HPPs prioritize real-time control and high continuity. Purdue model segmentation provides OT/IT isolation[1].
  2. Attack Surface: Legacy protocols like Modbus, DNP3, IEC-104 lack authentication or encryption. Open ports and engineering stations carry weak configuration risk[1][2].
  3. Defense Layers: OT network is protected with DMZ, network segmentation, Zero Trust and deep packet inspection[1][2].
  4. SSDLC + CI/CD: Security integrated into software development; SAST, DAST, container scan, SBOM and signature verification[3][4].
  5. Supply chain verification is critical for OT systems.

HPP Software Security - Attack Surface, Defense Layers and SSDLC Pipeline

Infographic: HPP Software Security — Attack Surface, Defense Layers and SSDLC Pipeline [1][2][3]

Paradigm Shift: IT/OT Separation Through the Purdue Model

The fundamental network architecture of industrial control systems is layered according to the Purdue model. In this model, levels 0-1 are physical process and PLC/RTU layers; level 2 is the SCADA/HMI/DCS layer. Upper levels (3-5) include the control center and enterprise IT. This separation creates an air gap between OT/IT, enabling effective access control[1].

However, with digitalization these layers are increasingly intertwined. Business processes have integrated with cloud, IoT and remote access. This has expanded the threat surface of OT networks. During the NotPetya attack, weak segmentation caused malware to spread to factory automation networks[5]. As NIST states, if ICS networks become unexpectedly accessible, control over physical processes can be rapidly lost[1]. Therefore, defense-in-depth strategy and Zero Trust approach are essential in HPPs.

Level Layer Components Security Measure
0-1 Physical Process + PLC/RTU Turbine, generator, sensor, PLC, RTU Micro-segmentation, physical access control
2 SCADA / HMI / DCS SCADA server, HMI terminal, historian DPI, ML baseline, session monitoring
3 Control Center Engineering workstation, patch server Jump server, MFA, patch management
3.5 OT DMZ Data diode, log broker, proxy Unidirectional data flow, SIEM integration
4-5 Enterprise IT / Cloud ERP, SOC/SIEM, UI No direct OT access; through DMZ only

Table 1: Purdue Model Layers and Security Measures [1][2]

Purdue Model + IEC 62443 Security Zones

Infographic: Purdue Model + IEC 62443 Security Zones [1][2]

Attack Surface Mapping: HPP Vulnerabilities

OT devices and protocols in HPPs have historically been designed for functionality rather than security. As NIST emphasizes, several industrial protocols lack authentication[1]. Common protocols like Modbus TCP, DNP3 or IEC 60870-5-104 lack encryption, authentication or integrity controls[1]. These protocols can easily be manipulated by eavesdropping or replay attacks on the network.

Protocol / Component Vulnerability Attack Vector Countermeasure
Modbus TCP (502) No auth/encryption Command injection, replay DPI + allowlist, TLS wrapper
DNP3 (20000) Auth optional, rarely used Man-in-the-middle, spoof DNP3 Secure Auth, segmentation
IEC 60870-5-104 No encryption/auth Fake commands, eavesdropping IEC 62351 TLS, VPN tunneling
HMI/RTU (Windows) Unpatched OS, default passwords Lateral movement, RCE Patch mgmt, application whitelisting
Engineering Workstation USB, vendor SW, dual-homed PLC program manipulation PAM, jump host, USB control
Remote Access Weak VPN, single factor Credential harvesting MFA + time-based + session recording

Table 2: HPP Attack Surface Map and Countermeasures [1][2]

NIST warns: ICS components are problematic in terms of updates and patching; many devices run on legacy operating systems that are no longer supported[1]. Open ports, unauthorized remote access channels and untested third-party applications in the HPP network carry heavy risk[1].

Defense Layers and Zero Trust: Never Trust, Always Verify

Protection in HPPs is primarily achieved through multi-layered defense. Traffic to the OT network is separated into layers and different measures are applied at each level. A DMZ is established between the control network and the corporate network to limit access. Industrial firewalls only permit required SCADA traffic. Within the internal ICS network, zone/conduit segmentation isolates plant sections[1][2].

In the Zero Trust model, users, devices and applications are never automatically trusted; access is tested and restricted each time. For example, an engineer requesting PLC access is first subjected to identity verification (MFA). Network traffic is continuously monitored; immediate isolation occurs upon detecting abnormal activity. ISA/IEC 62443 standards also envision this layered architecture[2].

Layer Technical Function HPP Implementation
Perimeter FW deny-all / permit-by-exception; stateful + DPI [1] NGFW: Modbus FC, DNP3, OPC UA parser for command filtering
DMZ Blocks direct access from corporate network to OT [1] OT gateway, log broker, time sync proxy
Jump Server Routes OT access through a single controlled hop point [1] MFA + time-based + session recording; split tunneling disabled
Micro-Segmentation Cell/area-based segments; least privilege via PEP [2] SCADA, sensor, PLC groups as separate secure zones
Data Diode OT→DMZ unidirectional data flow; physical C2 block [1] All reverse flow blocked except critical telemetry
IDS/IPS + SIEM Traffic anomaly detection, log correlation, playbook [1] Deterministic baselining + ML anomaly scoring

Table 3: Defense Layers and HPP Implementation [1][2]

Secure Software Development (SSDLC) and CI/CD Security

Security integrated into the software development process is critically important. The NIST SSDF guide strongly recommends static analysis and secret scanning[4]. IEC/ISA 62443-4-1 defines secure product development principles for industrial products[2].

# Phase Security Activity Tools / Standard
1 Design Threat modeling, security requirements, architecture review STRIDE, cyber-HAZOP, IEC 62443-3-3
2 Development Code review, static analysis, dependency scanning, secret detection SAST (SonarQube, Semgrep), Snyk, GitLeaks
3 Test Dynamic analysis, penetration testing, fuzzing, performance test DAST (OWASP ZAP, Burp), fuzzer, load test
4 Deployment Container vulnerability scan, signature verification, SBOM generation Trivy, Cosign, SBOM (CycloneDX/SPDX)
5 Monitoring Runtime anomaly detection, log auditing, SIEM integration Falco, ELK/Splunk, AI

Table 4: SSDLC Pipeline Phases and Security Controls [2][4]

Renewasoft applies these SSDLC measures when developing HYDROWISE: every software component is packaged in containers and passed through vulnerability scanning systems; every step in the CI/CD pipeline goes through security controls. No unsigned software is accepted into the production line[2].

Supply Chain Attacks and Protection

A supply chain attack targets third-party components or update channels rather than the software developer to infiltrate a system. In the 2020 SolarWinds incident, attackers injected malicious code into the legitimate Orion management software, gaining access to thousands of organizations using this software[5]. In energy infrastructure, a similar situation could occur through infiltrating the control system with a fake PLC firmware update.

🔒 Supply Chain Protection Checklist

SBOM (Software Bill of Materials): Inventory of all dependencies maintained; CycloneDX or SPDX format.

Dependency Signing: Cryptographic signature of every library verified; dependency hijacking prevented.

Version Pinning: Dependency versions pinned in CI/CD; unexpected updates prevented.

Firmware Verification: PLC/RTU firmware updates done with manufacturer certificate + hash verification.

Secure Channel: Updates only from encrypted, authenticated channels (TLS + mutual auth).

Technical Risk Scoring Model

Risk analysis in energy facilities must be quantitative. The common model:

Risk = Threat × Vulnerability × Impact
Threat = Actor capability/intent  |  Vulnerability = Gap severity  |  Impact = Operational loss, hardware damage, safety breach

Impact criteria in hydropower projects include production loss, equipment failure or environmental damage. Heluany et al. proposed a detailed risk assessment using the cyber-HAZOP method for HPPs[5]. Each control element is assigned a 0-100 risk score so that investment and security resources are prioritized toward highest-risk areas.

Asset / Scenario Threat Vuln. Impact Risk Score
SCADA Server (unpatched) 0.8 0.9 0.9 0.648 → Critical
PLC (Modbus, no auth) 0.7 0.8 0.9 0.504 → High
Engineering WS (dual-homed) 0.6 0.7 0.8 0.336 → Medium-High
OT Gateway (DMZ, TLS) 0.5 0.2 0.7 0.070 → Low

Table 5: HPP Asset-Based Risk Scoring Example [1][5]

Case Study: Real Scenarios

💥 Evidence-Based Background

Bowman Avenue Dam (2013, USA): Iranian-origin hackers were found to have infiltrated the dam’s SCADA system. No physical damage occurred but access was confirmed[5].

Bremanger/Risevatnet Dam (2025, Norway): Control system compromised through a weak password; attackers fully opened valves, increasing water discharge 497 L/s above normal for four hours[1].

NotPetya (2017): Spread through supply chain; weak segmentation caused infection of factory automation networks[5].

SolarWinds (2020): Malicious code injected into legitimate Orion software provided access to thousands of organizations[5].

A typical HPP attack scenario: The attacker gains access to the engineering workstation via phishing, captures PLC credentials and modifies flow control commands with incorrect data. Result: sudden turbine trip, energy production disruption and mechanical damage from sudden load changes. Early warning and anomaly detection systems with rapid response capability are vital.

Enterprise Security Architecture: A Layered and Integrated Approach

Security in critical energy facilities cannot be achieved through a single technology or solution. An effective approach requires the coordinated operation of multiple layers, including network security, software security, access control, data analytics, and monitoring.

This approach is built on the following core principles:

• Network segmentation and Zero Trust architecture
• Secure software development processes (SSDLC)
• CI/CD pipeline security controls
• Supply chain verification mechanisms
• Real-time monitoring and anomaly detection

Through this structure, security evolves from a reactive defense mechanism into a proactive and measurable system.

Frequently Asked Questions (FAQ)

Q1: Why is energy plant software considered more critical than other sectors?
Energy plants require real-time control and high reliability due to their uninterrupted power supply mission. According to NIST, ICS/OT systems are subject to instant response times and continuous operation demands. A software error can affect physical processes and lead to serious financial losses[1].

Q2: What are the security weaknesses of common ICS protocols in HPPs?
Legacy protocols like Modbus, DNP3, IEC-104 lack authentication and encryption. Data can be easily eavesdropped or fake commands can be sent. SCADA devices use standard ports; if left uncontrolled, they allow command injection[1][2].

Q3: How is Zero Trust implemented in HPPs?
The OT network is divided into segments, transitions between segments are restricted by firewalls. Access to critical devices is verified with MFA. Network traffic is continuously monitored; upon anomaly detection, the system is immediately isolated. ISA/IEC 62443 envisions this layered architecture[2].

Q4: How is technical risk scoring applied?
Risk = Threat × Vulnerability × Impact formula is used. Each asset’s risk is scored (0-100). Cyber-HAZOP creates detailed scenarios. Investment is prioritized to highest-risk areas[1][5].

Q5: What security measures should be taken in SSDLC and CI/CD?
Code review, SAST, dependency scanning, DAST, container scan, SBOM and signature verification are applied. NIST SSDF recommends static analysis and secret scanning. No unsigned software enters production[3][4].

Q6: How to protect against supply chain attacks?
Maintain SBOM, sign dependencies, pin versions, verify firmware certificates and use secure update channels. SolarWinds showed that even legitimate update channels can be attack vectors[5].

Conclusion

Security in critical energy facilities determines operational continuity as much as competitive advantage. This article covered SCADA/OT architecture vulnerabilities, defense layers, risk analysis methods, software development security and supply chain protection. A problem-solution focused approach was adopted at every stage[1][2][4].

If you would like to learn more about securing critical energy infrastructure and improving OT cybersecurity practices, feel free to contact us:

[email protected]

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