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Enterprise-Information-Security-Risk-Assessment-Oracle-E-Business-Suite-Case-Study — Real-world information security risk assessment based on the Oracle E-Business Suite zero-day (CVE-2025-61882). Analyses attacker methods, enterprise risks, and mitigation strategies using ISO 27001, NIST CSF, Cyber Essentials and COBIT. | Kitploit
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GitHubsid-203/enterprise-information-security-risk-assessment-oracle-e-business-suite-case-study

Enterprise-Information-Security-Risk-Assessment-Oracle-E-Business-Suite-Case-Study

Real-world information security risk assessment based on the Oracle E-Business Suite zero-day (CVE-2025-61882). Analyses attacker methods, enterprise risks, and mitigation strategies using ISO 27001, NIST CSF, Cyber Essentials and COBIT.

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117 months agoNot yet reviewed

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Information Security: GDPR Compliance & Incident Response

A comprehensive security and privacy compliance framework for high-risk biometric surveillance systems (CCTV, Facial Recognition Technology, and centralised contact tracing), including comparative framework analysis (ISO 27001, Cyber Essentials, NIST CSF 2.0, COBIT) and a detailed incident response case study analyzing the 2025 Oracle E-Business Suite CVE-2025-61882 breach.

Table of Contents

  • Project Overview
  • Chapter 1: Data Protection Compliance
    • Data Protection by Design & Default (DPbD)
    • Framework Comparison Analysis
    • Security Implementation & Incident Response
  • Chapter 2: Oracle EBS Breach Case Study
    • CVE-2025-61882 Analysis
    • Attacker TTPs & Defensive Countermeasures
    • Risk Assessment & Mitigation Strategy
  • Key Deliverables
  • Academic Context
  • References
  • Author

Project Overview

This assignment addresses critical challenges in deploying high-risk biometric surveillance systems while maintaining compliance with UK GDPR, implementing layered security controls, and establishing robust incident response capabilities.

System Scope

Proposed Solution Components:

  1. CCTV Network: Video surveillance infrastructure
  2. Facial Recognition Technology (FRT): Biometric identification system
  3. Centralised Contact Tracing: Database for tracking interactions

Key Challenges:

  • High-impact privacy risks (biometric special category data)
  • Resource-constrained operational environment
  • Complex regulatory landscape (UK GDPR Article 25, ICO guidance)
  • Multi-vendor security assurance requirements

Research Objectives

  1. Operationalize Data Protection by Design & Default (Article 25 UK GDPR)
  2. Map security frameworks to GDPR compliance requirements
  3. Design layered security controls for high-risk surveillance systems
  4. Develop incident response procedures aligned to NIST SP 800-61 and ISO 27035
  5. Analyze real-world breach (Oracle EBS CVE-2025-61882) to extract defensive lessons

Chapter 1: Data Protection Compliance

Data Protection by Design & Default (DPbD)

Core Principle (Article 25 UK GDPR)

Data Protection by Design and Default must be treated as an engineering and governance requirement, not a "compliance afterthought". For systems combining CCTV, FRT, and centralised contact tracing, DPbD must be:

  • Embedded from requirements stage through deployment and operation
  • Maintained through a privacy-aware SDLC with defined "gates"
  • Evidenced through testable controls and audit artifacts

DPbD Implementation Framework

Privacy-Aware Secure Development Lifecycle (SDLC)

PhaseDPbD RequirementsControlsEvidence
RequirementsDefine purposes, lawful basis, special category processingPurpose statements, DPIA initiationDPIA document, legal basis assessment
DesignDefaults enforce data minimisation, purpose limitationCamera zoning/masking, restricted FRT triggers, separated data flowsArchitecture diagrams, privacy test cases
Build & TestPrivacy/security as testable requirementsRBAC with least privilege, MFA, encryption, immutable logsTest results, security configs
OperationsContinuous monitoring, vendor assurance, change controlAccess reviews, retention enforcement, anti-function creep controlsAudit logs, governance KPIs

Key DPbD Mechanisms

1. By Design (Integrate throughout processing)

  • Privacy requirements as non-functional requirements (NFRs)
  • Threat modeling + privacy misuse cases
  • SDLC "privacy gates" with sign-off checkpoints

2. By Default (Only necessary data)

  • Minimal fields in tracing DB
  • Least-privilege roles
  • Shortest retention as baseline
  • Change control for scope expansion

3. Data Minimisation

  • Camera zoning & privacy masking
  • Avoid always-on identification (use detection/counting where possible)
  • Collect only essential tracing attributes

4. Purpose Limitation & Anti-Function Creep

  • Purpose-bound access controls with use-case tags
  • Query restrictions
  • Approval workflow for new purposes
  • Vendor contract clauses preventing secondary use

5. Pseudonymisation & PETs

  • Tokenization/pseudonym IDs for contact tracing
  • Split databases (identifiers vs. exposure events)
  • Join keys protected in KMS/HSM
  • Two-person rule for re-identification

6. Transparency & User Control

  • Layered privacy notices (QR codes, signage, app notices)
  • DSAR workflow
  • Clear communications plan

7. Access Limitation (Least Privilege)

  • Role-Based Access Control (RBAC)
  • Multi-Factor Authentication (MFA) for privileged roles
  • Privileged Access Management (PAM)
  • Quarterly access reviews

8. Integrity & Confidentiality

  • Encryption in transit/at rest
  • Secure API gateway
  • Network segmentation
  • Endpoint Detection & Response (EDR)
  • Immutable audit logs

9. Storage Limitation

  • Automated retention enforcement
  • Deletion workflows
  • Cryptographic erasure for keys
  • WORM logs for audit trails

10. DPIA as Living Control

  • Completed early in lifecycle
  • Reviewed on system changes
  • Risk register maintained
  • Mitigation tracking

Framework Comparison Analysis

Overview

UK GDPR is principles-led, requiring organizations to demonstrate:

  • Lawful, fair, transparent processing
  • Purpose limitation
  • Data minimisation
  • Accuracy
  • Storage limitation
  • Integrity & confidentiality
  • Accountability

Security and governance frameworks help convert GDPR's high-level obligations into actionable controls, but they do not replace GDPR compliance.

Framework Mapping to GDPR Principles

GDPR PrincipleISO/IEC 27001Cyber EssentialsNIST CSF 2.0COBIT 2019
Lawfulness, fairness, transparencyPartial (governance, policies)LimitedPartial ("Govern")Partial (governance)
Purpose limitationPartial (scope, change control)LimitedPartial ("Govern/Identify")Strong (prevents function creep)
Data minimisationPartial (risk-based design)LimitedPartial (inventory, risk controls)Partial (enforces decisions)
AccuracyPartial (quality management)LimitedPartial (monitoring)Partial (metrics, assurance)
Storage limitationStrong (retention, deletion, audit)LimitedPartial ("Protect/Recover")Partial (KPIs, audits)
Integrity & confidentialityStrong (security controls)Strong (baseline)Strong (Protect/Detect/Respond)Strong (governance)
AccountabilityStrong (ISMS, documentation)Partial (evidence baseline)Strong ("Govern" function)Strong (decision rights, KPIs)

Framework Strengths & Best Use

ISO/IEC 27001

  • Primary Value: Information Security Management System (ISMS)
  • Best For: Organizational-level security governance, risk treatment, audit readiness
  • Key Contribution: 93 Annex A controls covering access control, cryptography, supplier security, logging, incident management
  • GDPR Support: Strong for integrity/confidentiality, accountability, storage limitation
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