Use Case 1 - Intelligence Platform Alerts

Use Case 1 - Intelligence Platform Alerts

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Use Case 1 - Intelligence Platform Alerts

Resumen

This use case defines the process for leveraging intelligence platform alerts to detect and respond to critical threats across five core areas: impersonation detection, sensitive data leakage, attack surface management, darknet monitoring, and third-party breach monitoring. It streamlines identification and mitigation of threats surfaced by intelligence platforms, enhancing organizational cyber resilience. Keywords and assets from use-case-00-keywords-repository serve as the foundation for alert configuration.

Objetivo

Streamline the process of identifying and mitigating critical threats surfaced by intelligence platforms, enhancing organizational cyber resilience.

Entradas (Inputs)

  • Keyword repository from use-case-00-keywords-repository (brands, domains, subsidiaries, VIPs)
  • Intelligence platform feeds and alerts (TIP, ASM, darknet monitoring tools)
  • Asset inventory and domain lists
  • Third-party vendor registry

Proceso / Flujo de Trabajo

1. Impersonation Detection

  • Domain Impersonation: Proactively detect lookalike, typo-squatting, or homograph domains designed to deceive users.
  • Social Media Impersonation: Identify fake social media profiles or pages masquerading as the brand to harm reputation or execute phishing attacks.
  • Mobile App Impersonation: Discover fraudulent mobile applications in app stores mimicking legitimate apps, potentially used for malware distribution or credential theft.

2. Sensitive Data Leakage

  • Code Repositories and Container Images: Monitor for accidental exposure of API keys, passwords, or other confidential data within code repositories and container images.
  • Publicly Accessible Sources: Scan paste websites (Pastebin, etc.), forums, and other places where sensitive information might be inadvertently leaked.
  • Compromised Web Services: Detect compromised web services that could allow attackers to access or exfiltrate sensitive information.

3. Attack Surface Management

  • Open Port Monitoring: Identify newly opened ports that could create potential attack entry points.
  • Vulnerability Detection: Continuously scan for vulnerable web services and software with known exploits.
  • Cloud Misconfigurations: Audit cloud environments for misconfigurations that leave data buckets or other assets exposed.

4. Darknet Monitoring

  • Stolen Credentials: Search for compromised user credentials associated with company domains.
  • Brand Mentions: Monitor for mentions of the organization, executives, or sensitive projects that could indicate planning of targeted attacks.
  • Data Sales: Identify attempts to sell stolen data belonging to the organization.

5. Third-Party Breach Monitoring

  • Vendor and Partner Compromises: Receive alerts when vendors or partners experience breaches, allowing assessment of own risk.
  • Supply Chain Vulnerabilities: Track vulnerabilities in software components or services provided by third parties.

Salidas (Outputs) / Productos

  • Prioritized alert feed with risk-based ranking
  • Impersonation detection reports (domains, social media, apps)
  • Data leakage incident notifications
  • Attack surface change reports
  • Darknet intelligence summaries
  • Third-party breach impact assessments

Fuentes de Inteligencia

  • Threat Intelligence Platforms (TIP)
  • Attack Surface Management (ASM) tools
  • Darknet monitoring services
  • Paste site scanners
  • Cloud security posture management (CSPM) tools
  • Third-party risk monitoring platforms

Herramientas

  • TIP (Threat Intelligence Platform)
  • ASM (Attack Surface Management)
  • Darknet monitoring tools

Métricas de Éxito

  • Mean time to detect (MTTD) impersonation attempts
  • Number of data leakage incidents identified and remediated
  • Reduction in unmanaged attack surface exposure
  • Darknet alert-to-action time
  • Third-party breach notification response time

Additional Considerations

  • Prioritization: Establish a risk-based framework to prioritize the most critical alerts and ensure timely response.
  • Automation: Integrate CTI alerts with client tools for streamlined workflows.
  • Threat Hunting: Alerts from this use case feed hypotheses for use-case-07-threat-hunting.

Integración con Otros Use Cases

Use Case Relationship
use-case-00-keywords-repository Provides keyword inputs for alert configuration
use-case-02-cti-feeds IOC feeds enrich platform alert context
use-case-03-vulnerability-intelligence ASM findings feed vulnerability prioritization
use-case-04-infostealer-monitoring Darknet credential alerts overlap with infostealer monitoring
use-case-06-phishing-intelligence Domain impersonation alerts feed phishing intelligence
use-case-07-threat-hunting Alert patterns generate hunting hypotheses
use-case-10-threat-intel-sharing High-confidence alerts shared with partners

Referencias

  • programa CTI corporativo (cliente sector logistica)- programa CTI corporativo
  • programa CTI cliente sector logistica
  • analisis-inteligencia-competitiva-cyber360

Themes