Malcolm is a network traffic analysis suite designed for network security monitoring, threat hunting and incident response.
It ingests full packet capture (PCAP) files, Zeek logs and Suricata alerts, then normalizes, enriches and correlates the data for investigation.
Analysts can explore network activity through OpenSearch Dashboards and Arkime. Malcolm supports offline artifact analysis and live traffic capture, and can be deployed as containerized services on a workstation, server or Kubernetes cluster. It places particular emphasis on visibility into industrial control system protocols.
This is free and open source software.
Key Features
- Processes PCAP files, Zeek logs and Suricata alerts.
- Supports browser-based artifact uploads and live network traffic capture.
- Accepts logs securely forwarded from remote network sensors.
- Normalizes, enriches and correlates network session data.
- Provides GeoIP, MAC address manufacturer and asset inventory enrichment.
- Supports JA4 network traffic fingerprinting.
- Includes OpenSearch Dashboards with numerous prebuilt visualizations.
- Uses Arkime for searching, examining and correlating network sessions.
- Offers anomaly detection, alerting, reporting and event severity scoring.
- Supports automatic file extraction and scanning.
- Integrates threat intelligence through STIX, TAXII and MISP.
- Uses NetBox for asset inventory and network interaction analysis.
- Provides additional visibility into industrial control system protocols.
- Supports local accounts, LDAP, Keycloak and role-based access control.
- Can run with Docker or Podman and supports Kubernetes deployments.
Website: github.com/cisagov/Malcolm
Support:
Developer: Idaho National Laboratory
License: Apache License 2.0
Malcolm is written in Python. Learn Python with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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