📕
Threat Intelligence Manual
  • Introduction
  • Contents
  • Module 1: Introduction to Cyber Threat Intelligence
    • Definition and Importance of CTI
    • Threat Intelligence Lifecycle
    • Key Concepts: Indicators, TTPs, IOCs and More
    • Role of CTI in Cybersecurity
  • Module 2: Data Sources and Collection
    • Open Source Intelligence (OSINT) Sources
    • Technical Intelligence (TECHINT) Sources
    • Human Intelligence (HUMINT) Sources
    • Data Collection Techniques and Tools
    • Legal and Ethical Considerations
  • Module 3: Data Processing and Analysis
    • Structuring and Enriching Threat Intelligence Data
    • Indicator Analysis Techniques
    • Malware Analysis Fundamentals
    • Network and Host Artifact Analysis
    • Data Mining and Machine Learning for Threat Analysis
  • Module 4: Threat Modeling and Actor Profiling
    • Adversary Models and Frameworks
    • Tactics, Techniques and Procedures
    • Threat Actor Groups and Motivations
    • Attack Vector Analysis
  • Module 5: Cyber Threat Intelligence Analytics
    • Structured and Unstructured Data Analysis
    • Statistical and Visualization Techniques
    • Reporting and Presentation of Findings
  • Module 6: Threat Intelligence Sharing
    • Standards and Frameworks
    • Threat Intelligence Platforms and Tools
    • Information Sharing Communities
    • Trust Groups and Sharing Protocols
  • Module 7: Building a CTI Program
    • Developing a CTI Strategy and Roadmap
    • Roles and Responsibilities in a CTI Team
    • Integration with Security Operations
    • Measuring CTI Effectiveness and Metrics
  • Module 8: Operationalizing CTI
    • CTI Program Maturity Assessment
    • CTI Workflow Automation and Orchestration
    • CTI Playbooks and Runbooks
    • CTI-driven Threat Hunting Exercises
    • CTI Integration with Security Tools and Systems
Powered by GitBook
On this page
  1. Module 4: Threat Modeling and Actor Profiling

Attack Vector Analysis

Attack vector analysis involves identifying, analyzing, and prioritizing the potential paths or methods that threat actors could use to gain unauthorized access, compromise systems, or achieve their malicious objectives. Understanding attack vectors is crucial for implementing effective defense strategies and mitigating cyber risks.

Here are some common attack vectors and aspects of their analysis:

  1. Network-based Attacks:

    • Analysis of potential vulnerabilities in network protocols, services, and configurations

    • Evaluation of exposed attack surfaces, such as open ports, misconfigured firewalls, or insecure remote access solutions

    • Identification of potential entry points for distributed denial-of-service (DDoS) attacks or network-based malware propagation

  2. Web Application Attacks:

    • Analysis of vulnerabilities in web applications, such as cross-site scripting (XSS), SQL injection, or insecure authentication mechanisms

    • Evaluation of web application firewalls (WAFs) and secure coding practices

    • Identification of potential attack vectors for data breaches or defacement

  3. Malware and Exploit Analysis:

    • Analysis of known malware families, exploit kits, and their associated delivery mechanisms (e.g., phishing, drive-by downloads, watering hole attacks)

    • Evaluation of system and software vulnerabilities that could be exploited by malware or adversaries

    • Identification of potential infection vectors and lateral movement paths within the organization

  4. Social Engineering and Phishing:

    • Analysis of potential attack vectors targeting human weaknesses, such as phishing emails, smishing (SMS phishing), or vishing (voice phishing)

    • Evaluation of user awareness and training programs

    • Identification of potential entry points for credential theft or unauthorized access

  5. Physical Security Attacks:

    • Analysis of potential vulnerabilities in physical access controls, surveillance systems, or secure areas

    • Evaluation of measures to prevent unauthorized physical access, tampering, or theft of hardware assets

    • Identification of potential attack vectors for data exfiltration or disruption of critical infrastructure

Attack vector analysis typically involves:

  1. Threat Modeling: Identifying potential attack surfaces, entry points, and vulnerabilities based on the organization's assets, technologies, and processes.

  2. Risk Assessment: Evaluating the likelihood and potential impact of each attack vector, considering factors such as threat actor capabilities, motivations, and historical precedence.

  3. Prioritization: Ranking attack vectors based on their risk levels, potential consequences, and the organization's risk tolerance.

  4. Mitigation Planning: Developing and implementing appropriate security controls, countermeasures, and defense strategies to mitigate the identified attack vectors.

Attack vector analysis is an ongoing process that should be regularly reviewed and updated as new threats emerge, technologies evolve, or the organization's risk profile changes. It is a critical component of a comprehensive cyber threat intelligence program, enabling organizations to proactively identify and address potential attack vectors before they are exploited by threat actors.

PreviousThreat Actor Groups and MotivationsNextStructured and Unstructured Data Analysis

Last updated 1 year ago