Intro

INTELLIGENCE-DRIVEN
MALWARE ANALYSIS.

ACROS is a cloud-native malware analysis platform that combines sandboxed execution (gVisor, Firecracker, Kata Containers), real-time behavioral telemetry via Redis PubSub → WebSocket streaming, and machine learning threat classification (XGBoost + Transformer-based MITRE ATT&CK explainer) to deliver automated, explainable threat intelligence reports — complete with Neo4j attack graphs, IOC extraction, and YARA rule matching.

START FREE TRIAL VIEW DOCUMENTATION
MITRE ATT&CK Mapped
Neo4j Attack Graphs
XGBoost ML Classifier
YARA Rule Scanning
Real-Time WebSocket Telemetry
VirusTotal & AbuseIPDB Enrichment
MITRE ATT&CKYARANEO4JFASTAPIOPENTELEMETRYGVISORFIRECRACKERXGBOOSTREDISMONGODBKUBERNETESPROMETHEUS
MITRE ATT&CKYARANEO4JFASTAPIOPENTELEMETRYGVISORFIRECRACKERXGBOOSTREDISMONGODBKUBERNETESPROMETHEUS

LEGACY SANDBOXES

  • Arbitrary event scoring (+10 for FILE_WRITE) with no behavioral context
  • Flat telemetry logs without process-to-network correlation
  • High false positive rates from signature-only classification
  • Manual, tedious report generation requiring analyst hours
  • Single sandbox engine with no production-grade isolation
  • No threat intelligence enrichment or IOC cross-referencing

ACROS INTELLIGENCE LAYER

  • Deterministic capability extraction from static & runtime analysis
  • Neo4j-backed attack graphs linking File → Process → Network → IOC nodes
  • XGBoost ML classifier + anomaly detection with explainable verdicts
  • Weighted MITRE ATT&CK risk scoring (T1059 PowerShell, T1053 Scheduled Tasks)
  • Multi-sandbox support: gVisor, Firecracker microVMs, Kata Containers
  • Automated VirusTotal & AbuseIPDB enrichment with IOC correlation pipeline

CAPABILITIES

Static & Dynamic Analysis

SHA256/MD5 hashing, PE file parsing, entropy calculation, and string extraction with IOC pattern matching. Runtime monitoring via Python audit hooks (sys.addaudithook) captures process creation, file I/O, and network socket activity.

Attack Graph Intelligence

Neo4j graph database ingests analysis results into a queryable attack representation — linking File, Process, NetworkConnection, and IOC nodes. Explore attack chains visually with React Flow on the frontend dashboard.

AI Analyst Reports

Hugging Face Transformer-based LLM generates executive summaries grounded in structured evidence. XGBoost classifier provides malware family classification. NLP-powered threat summarization delivers human-readable analyst reports.

Real-Time Telemetry Streaming

Redis PubSub channels (job_updates:{job_id}) pipe live sandbox events through WebSocket endpoints directly to your React dashboard with requestAnimationFrame batching for zero-lag rendering.

MITRE ATT&CK Mapping

Automated technique extraction from behavioral evidence — maps runtime actions to specific MITRE techniques (e.g., T1059.001 PowerShell, T1053 Scheduled Tasks, T1027 Obfuscated Files). Custom rule engine combined with LLM-based explainer.

Threat Intelligence Enrichment

IOC correlation pipeline extracts IPs, domains, and file hashes, then enriches them via VirusTotal and AbuseIPDB APIs. YARA rule scanning matches payloads against community and custom rule sets for known malware family detection.

ARCHITECTURE

01
FILE UPLOAD & HASHING
02
STATIC ANALYSIS
03
SANDBOX EXECUTION
04
RUNTIME MONITORING
05
MITRE MAPPING & CORRELATION
06
RISK ENGINE & CLASSIFIER

USE CASES

Automated Incident Response
Integrate ACROS into your SOC workflows. AI-generated analyst reports with executive summaries, MITRE ATT&CK coverage maps, and IOC lists are delivered in seconds — eliminating hours of manual triage.
Advanced Threat Hunting
Query historical analysis data across Neo4j attack graphs. Cross-reference IOCs, hunt for behavioral patterns using the hunting service, and explore linked File → Process → Network relationships across all past analyses.
Malware Research
Deconstruct complex payloads with combined static analysis (PE parsing, string extraction, entropy calculation) and YARA rule scanning against community and custom rule sets for malware family identification.
SIEM & SOAR Integration
Export structured event data via REST API and webhook integrations. Prometheus metrics endpoint (/metrics) and OpenTelemetry distributed tracing enable seamless Splunk, Elastic, and Azure Sentinel integration.
Zero-Day Research
Safely detonate unknown samples in production-grade isolation (Firecracker microVMs, gVisor containers). Runtime monitoring captures process creation, network sockets, file I/O, and DNS queries via scapy for full behavioral profiling.
Threat Intelligence
Automatically enrich extracted IOCs (IPs, domains, hashes) via VirusTotal and AbuseIPDB API integrations. Cross-job correlation identifies shared infrastructure across separate analysis submissions.

THE DIFFERENCE

Feature Legacy Sandbox ACROS
Event Scoring Arbitrary values (+10) Weighted MITRE ATT&CK Intelligence Layer
Reporting Manual & Tedious AI-Generated Analyst Reports (LLM + XGBoost)
Contextual Awareness Flat Telemetry Logs Neo4j Attack Graphs (File→Process→Network→IOC)
Threat Mapping Basic Signatures MITRE ATT&CK Technique Mapping + LLM Explainer
Telemetry Speed Post-execution Real-Time Redis PubSub → WebSocket Streaming
Sandbox Isolation Single VM gVisor, Firecracker microVMs, Kata Containers
IOC Enrichment None VirusTotal & AbuseIPDB API Integration
Knowledge Representation Flat JSON Files Neo4j Graph Database + Cross-Job Correlation

READY FOR
INTELLIGENCE-DRIVEN
ANALYSIS?

Deploy ACROS with multi-sandbox isolation (gVisor, Firecracker, Kata Containers), XGBoost ML classification, Neo4j attack graph intelligence, and automated MITRE ATT&CK-mapped analyst reports — all streaming in real-time to your SOC dashboard.

GET STARTED SCHEDULE DEMO