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Known Detection Gaps

Purpose

This page documents known limitations in detection and monitoring capabilities within the Scheol Security Lab.

The objective is to:

  • identify where visibility is missing or insufficient
  • highlight risks that are not reliably detectable
  • support prioritisation of monitoring improvements
  • maintain a realistic view of detection maturity

This page reflects the actual detection capability, not the intended target state.


Detection Gap Definition

A detection gap exists when:

  • a relevant risk scenario is not observable
  • a control operates without producing usable signals
  • logs or telemetry are missing, incomplete or not centralized
  • detection exists but is not validated or unreliable

Detection gaps are expected in a transitional environment and must be:

  • explicitly identified
  • linked to risks and controls
  • progressively reduced

Current Detection Context

At the current stage:

  • logging is partially local (VPS, systems)
  • some signals are available via CrowdSec and system logs
  • no centralized SIEM is fully operational yet
  • detection is limited and mostly reactive

This directly impacts the ability to detect:

  • misconfiguration exploitation (R-001)
  • application compromise (R-002)
  • administrative misuse or compromise (R-003)

Identified Detection Gaps

DG-001 - No Centralized Log Collection

Description Logs are generated on multiple systems but are not centralized.

Impact

  • No global visibility across Heaven and Hell
  • Difficult correlation between events
  • Delayed or missed detection of multi-step attacks

Related Risks

Status In Progress (Wazuh planned)


DG-002 - Limited Visibility on Reverse Proxy Behavior

Description Reverse proxy logs exist but are not actively monitored or analyzed.

Impact

  • Misconfigurations or abnormal access patterns may go unnoticed
  • Reduced ability to detect probing or exploitation attempts

Related Risks

Status In Progress


DG-003 - No Detection Validation for SSH / Admin Access

Description Brute-force or suspicious SSH activity may be logged, but detection effectiveness is not formally validated.

Impact

  • Uncertainty on actual detection capability
  • Possible false negatives (attacks not detected)

Related Risks

Status Planned (to be validated via verification scenarios)


DG-004 - Limited Visibility on Administrative Actions

Description Administrative actions are not centrally logged or traced.

Impact

  • No clear audit trail for privileged operations
  • Difficult investigation in case of compromise

Related Risks

Status Planned (bastion + centralized logging)


DG-005 - No Detection Use-Cases for Application Layer

Description No defined detection logic for abnormal behavior on exposed applications (e.g. Dolibarr).

Impact

  • Application compromise may go undetected
  • No alerting on suspicious usage patterns

Related Risks

Status Planned


Gap Prioritisation

Detection gaps are prioritised based on:

  • risk criticality (R-001 to R-003)
  • exposure level (public vs internal)
  • impact on detection capability
  • feasibility of implementation

Current priority:

  1. Centralized logging (DG-001)
  2. Administrative visibility (DG-004)
  3. Detection validation (DG-003)
  4. Application-level detection (DG-005)

Relationship with Other Sections

Detection gaps are directly linked to:

  • Risk Register → defines what should be detectable

  • Control Framework → defines expected monitoring controls

  • Verification Scenarios → used to validate detection capability

  • Residual Gaps → broader view of remaining security weaknesses

This page focuses specifically on detection capability, not overall control coverage.


Current Maturity

Detection capability is currently limited but understood.

Established

  • basic logging on exposed systems
  • partial visibility on SSH and web activity
  • initial awareness of detection gaps

In Progress

  • log centralization (Wazuh)
  • definition of detection use-cases
  • validation via verification scenarios

Planned / Next Phase

  • centralized SIEM with correlation
  • validated detection rules
  • improved coverage of admin and application activity
  • continuous detection gap tracking

Detection improvement is a key enabler for overall security maturity.