[Investigation]

Cybercrime Investigation Intelligence

A financial institution's SOC team identifies malware on a workstation in its treasury department.

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A financial institution's SOC team identifies malware on a workstation in its treasury department.

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content/modules/cybercrime-investigation.md

Last Updated

Feb 5, 2026

Category

Investigation

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9930b9f22ba955a1

Tags

investigationaiblockchaingeospatial

Overview#

A financial institution's SOC team identifies malware on a workstation in its treasury department. The malware is a variant of a known banking trojan, but the command-and-control infrastructure is new. Threat intelligence confirms the variant has been associated with a Russian-language cybercrime group that typically targets SWIFT payment systems. Within hours of initial detection, investigators need to know: what data was accessed, what other systems were reached, and which threat actor is responsible. That investigation, from digital forensics through attribution to prosecution, requires a platform built specifically for the depth and speed that cybercrime cases demand.

Argus Cybercrime Investigation Intelligence provides investigative depth for complex cybercrime cases including ransomware incidents, data breaches, intellectual property theft, and nation-state espionage. The platform delivers multi-source threat intelligence aggregation, dark web marketplace surveillance, advanced malware analysis, and cryptocurrency tracing capabilities for digital crime analysis and prosecution.

Diagram

flowchart LR
    A[Forensic Evidence] --> D[Cybercrime Intelligence Platform]
    B[Threat Intelligence Feeds] --> D
    C[Dark Web Monitoring] --> D
    D --> E[Attack Campaign Analysis]
    E --> F[Threat Actor Attribution]
    F --> G{Investigation Output}
    G --> H[Criminal Prosecution Package]
    G --> I[Victim Notification]
    G --> J[Strategic Intelligence Brief]

Last Reviewed: 2026-02-05 Last Updated: 2026-04-14

Key Features#

Threat Actor Intelligence#

Deep profiles on 300+ APT groups, ransomware gangs, and cybercrime syndicates track threat actor tactics, techniques, and procedures over time. Connections between campaigns are identified and attacks attributed to specific groups through behavioural analysis and infrastructure clustering. Integration with MISP and OpenCTI feeds continuously updates threat actor profiles as new indicators emerge.

Dark Web Monitoring#

Real-time surveillance of Tor hidden services, I2P networks, and underground marketplaces monitors for stolen data, compromised credentials, exploit sales, and criminal service offerings relevant to active investigations. Over 153 third-party integrations including Shodan feed infrastructure intelligence into dark web monitoring workflows.

Digital Forensics Suite#

Memory forensics, network PCAP analysis, malware reverse engineering, and timeline reconstruction support analysis of compromised systems, extraction of indicators of compromise, and reconstruction of attack sequences for prosecution. The forensics suite maintains full chain of custody for all analytical products.

Cryptocurrency Crime Tracing#

Ransomware wallet tracking, dark web payment analysis, and laundering detection follow cryptocurrency flows from criminal activity through mixing services to cash-out points across 15+ blockchain networks. Attribution and asset recovery are supported through exchange identification and coordinated subpoena targeting.

Attack Campaign Analysis#

Kill chain reconstruction, MITRE ATT&CK mapping, and command-and-control infrastructure attribution build complete pictures of attack campaigns from initial access through data exfiltration. Technical evidence is linked to threat actors through shared tools, code reuse, and infrastructure patterns. STIX/TAXII-format intelligence outputs support sharing with partner agencies and sector ISACs.

Victim Intelligence#

Breach notification support, stolen credential monitoring, and PII exposure detection identify and notify affected parties when compromised data surfaces on dark web markets or paste sites. The platform manages victim communication workflows while preserving investigation security.

ML-Based Attribution#

Behavioural pattern analysis, code reuse detection, and infrastructure clustering combine machine learning techniques to identify shared tools, techniques, and infrastructure across campaigns for threat actor attribution. Attribution findings are graded by confidence level with supporting evidence documentation.

Use Cases#

  • Ransomware Investigation: End-to-end investigation from initial compromise through encryption, payment tracing, and attribution to ransomware groups for prosecution and disruption.
  • Data Breach Response: Investigate breach origin, scope, and impact with forensic analysis, stolen data monitoring, and victim notification support.
  • Dark Web Intelligence: Monitor underground markets for stolen data, exploit offerings, and criminal services related to active investigations or organisational threats.
  • Nation-State Threat Analysis: Track advanced persistent threat groups, map their infrastructure, and attribute campaigns through behavioural and technical analysis.

Integration#

Connects with threat intelligence platforms (MISP, OpenCTI), SIEM systems, incident response tools, and law enforcement case management. Supports STIX/TAXII intelligence sharing and integration with blockchain analysis platforms. Compatible with Europol EC3, Interpol IGCI, and national CERT coordination frameworks.