Windows Forensics. Kernel Telemetry. Comprehensive Threat Hunting.

Forensic-Grade Threat Interception.

Recluse is engineered to uncover sophisticated multi-stage threats that evade traditional endpoint security, employing deep behavioral analysis, process validation, and real-time kernel-level event tracing across Windows environments.

Current Scope: v3.6.0 Detection Pillars

Deep-dive modules audit over 30 independent vectors, ensuring comprehensive coverage from initial persistence to covert C2 communication.

Execution & Runtime Telemetry

  • Process Integrity Validation: Forensic analysis of running system processes against expected lineage, location, and digital signatures to detect Masquerading attempts.
  • Advanced Runtime Memory Defense: Detection of process activity consistent with Process Hollowing, DLL injection, and other memory-resident evasion techniques.
  • Kernel Event Capture: Near-zero latency telemetry capture of process and network events with full context, ensuring visibility into short-lived, transient threats.
  • Intermediate Code Visibility: Capture and inspection of interpreted code block content to bypass common obfuscation methods used in living-off-the-land attacks.

Persistence & Historical Trace

  • Covert Tasking Audit: Exhaustive audit of standard, hidden, and specialized system components used for execution and time-based persistence.
  • Historical Data Utilization: Deep parsing of system activity logs to reconstruct timelines of application network usage and prior execution, identifying exfiltration spikes.
  • Comprehensive Execution Trace: Analysis of execution-related forensic artifacts to reconstruct binary run history and identify signs of filesystem tampering.
  • Security Event Correlation: Comprehensive analysis across key system and application event logs to trace complex multi-stage attack execution flow.

Covert Access & Credential Threat Hunting

  • Evasionary C2 Channel Detection: Identifies low-and-slow DNS, ICMP, and abnormal connection patterns used by sophisticated command and control infrastructure.
  • User Activity Privacy Monitoring: Real-time detection of unauthorized camera/microphone access indicators and flags suspicious screen capture executables.
  • Browser Security Audit: Scans browser extensions for dangerous permission combinations and monitors unauthorized access attempts to secure user credential storage.
  • System Credential Harvesting: Monitors privileged memory access (like LSASS) and tracks the execution of known unauthorized credential extraction tools.

The Core Intelligence Layer

The Signal-Fusion Engine (SFE)

The SFE is the Unified Risk Engine that correlates data across all detection modules. It uses Temporal Clustering and Process-Centric Correlation to construct a high-confidence threat picture, moving beyond siloed alerts to actionable, unified intelligence.

  • Threat Cascade Detection: Systematically links events across independent vectors to prove a full evidence chain (e.g., historical exfiltration + execution trace + memory injection).
  • Shared Reputation Engine: Caches signature verification and publisher trust decisions, prioritizing the analysis of unknown or ambiguously signed binaries.
  • Analyst-Grade Reporting: Detailed, exportable HTML reports using Jinja2 templates, complete with unified forensic timelines and root-cause identification.

Signal Fusion Architecture

Persistence & Registry Inputs
Runtime Process & Memory Telemetry
Network & C2 Artifacts
Historical Activity Logs
UNIFIED RISK ENGINE (SFE)Heuristic Scoring & Temporal Clustering
Analyst-Grade HTML Report
Real-Time PyQt5 Dashboard

Flow from raw forensic inputs to high-confidence security verdict.

Future State: Pre-Execution Platform

Architectural Roadmap: Version 2.0 (High-Integrity Enforcement)

V2

WHQL-Certified High-Integrity Defense Layer

Recluse v2 fundamentally evolves to a proactive Ring-0 defense posture. Utilizing a WHQL-Certified Signed Kernel Driver, the platform gains capability for Pre-Execution Process Blocking and real-time interception of malicious kernel-level activities, ensuring system stability and compatibility with modern Windows security controls.

Memory & Credential Integrity
  • Injection Prevention: Blocking of common user-space and kernel-space code injection vectors to neutralize hidden payloads.
  • Credential Space Isolation: System-level protection that prevents unauthorized processes from gaining the necessary access rights to critical security processes.
  • Secure Storage Guard: Real-time kernel monitoring and blocking of access attempts to local credential storage hives.
Data Resilience & Rootkit Prevention
  • File System Activity Control: Integration for real-time I/O monitoring, enabling rapid detection of mass read/write patterns indicative of data destruction or encryption.
  • Shadow Copy Protection: Kernel-level enforcement to prevent critical operating system recovery features from being disabled or erased.
  • Kernel Integrity Monitoring: Internal validation and blocking of techniques used by Rootkits to hide and tamper with the operating system's core structures.
Network Enforcement & Enterprise Integration
  • Native Network Enforcement: Integration with the platform's core network filtering architecture for process-based firewall control and deep DNS interception.
  • SIEM Ready Reporting: Standardized, native event forwarding via common security information formats (CEF/LEEF) for seamless integration into enterprise security systems.
  • Automated Response Playbooks: Configuration of automated actions for process termination, network isolation, and forensic evidence collection upon detection.

Integrate High-Confidence Threat Intelligence

Download the forensic-grade scanner today and initiate a deep system health validation.

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