Qosmos Probe as a DPI Sensor for yber Threat Hunting · onfiguration and Management • NETONF API...

2
As cyber aacks become increasingly sophiscated, effecve threat analycs requires input with a higher level of accuracy and detail. A DPI sensor provides granular, context-rich traffic visibility, strengthening and streamlining exisng SIEM and threat hunng plaorms. The Qosmos Probe DPI sensor is a flexible, cost-effecve alternave to pre- integrated, proprietary DPI sensors. Added to exisng cybersecurity operaons, it constutes an essenal building block for threat detecon and reinforces protecon through the creaon of a tailored-made security system with capabilies unknown to aackers. The Qosmos Probe passively captures packets at high throughput, detecng applicaons, parsing protocols, and extracng traffic metadata. Traffic metadata is used to contextualize alerts, which reduces the number of false posives, and allows analysts to carry out more efficient invesgaons, resulng in faster remediaon. Alerts based on tradional log/applicaon informaon are enriched with detailed protocol and metadata informaon and this context- rich data allows faster and more accurate invesgaons and significantly reduces the number of false posives . The Qosmos Probe only stores traffic metadata (sender, receiver, device type, file type, etc.), discarding irrelevant content, such as video. Forensic storage is reduced by up to 150x compared to full packet capture. Delivered as a soſtware component, the Qosmos Probe can be used in virtualized, physical and hybrid infrastructures. Regular updates ensure recognion of the latest protocols and special techniques also allow accurate classificaon of encrypted traffic. Efficient Traffic Intelligence Independent, best-in-class traffic intelligence technology Cost-effecve and flexible alternave to proprietary sensors associated with specific security soluons Reduces size of forensic storage by up to 150x compared to full packet capture Improved Threat Hunng Brings new capabilies that pinpoint key data and decrease false posives Provides a step funcon improvement in alert contextualizaon Proven Technology Based on Qosmos ixEngine®, the most widely deployed DPI soſtware in cybersecurity Best-in-class Classificaon and Metadata Extracon 3200+ protocols classified and 5000 applicaon metadata extracted Unique real-me Deep File Inspecon capabilies Precise end point idenficaon (device, IP, user, domain name, etc.) Protocol metadata specific to cybersecurity requirements Powerful Flow Processing Scales to nx10 Gbps of traffic per probe Classificaon of traffic encapsulated into all types of tunnels (GTP, GRE, PPOE, etc.) Key Facts Applicaon Datasheet Standalone, Best-in-Class Traffic Intelligence based on Protocol & Metadata Information Qosmos Probe as a DPI Sensor for Cyber Threat Hunng

Transcript of Qosmos Probe as a DPI Sensor for yber Threat Hunting · onfiguration and Management • NETONF API...

Page 1: Qosmos Probe as a DPI Sensor for yber Threat Hunting · onfiguration and Management • NETONF API • Multi-tenant entralized Management onsole for configuration and status information

As cyber attacks become increasingly sophisticated, effective threat analytics requires input with a higher level of accuracy and detail. A DPI sensor provides granular, context-rich traffic visibility, strengthening and streamlining existing SIEM and threat hunting platforms.

The Qosmos Probe DPI sensor is a flexible, cost-effective alternative to pre-integrated, proprietary DPI sensors. Added to existing cybersecurity operations, it constitutes an essential building block for threat detection and reinforces protection through the creation of a tailored-made security system with capabilities unknown to attackers.

The Qosmos Probe passively captures packets at high throughput, detecting applications, parsing protocols, and extracting traffic metadata. Traffic metadata is used to contextualize alerts, which reduces the number of false positives, and allows analysts to carry out more efficient investigations, resulting in faster remediation.

• Alerts based on traditional log/application information are enriched with detailed protocol and metadata information and this context-rich data allows faster and more accurate investigations and significantly reduces the number of false positives.

• The Qosmos Probe only stores traffic metadata (sender, receiver, device type, file type, etc.), discarding irrelevant content, such as video. Forensic storage is reduced by up to 150x compared to full packet capture.

• Delivered as a software component, the Qosmos Probe can be used in virtualized, physical and hybrid infrastructures.

• Regular updates ensure recognition of the latest protocols and special techniques also allow accurate classification of encrypted traffic.

Efficient Traffic Intelligence

Independent, best-in-class traffic intelligence technology

Cost-effective and flexible alternative to proprietary sensors associated with specific security solutions

Reduces size of forensic storage by up to 150x compared to full packet capture

Improved Threat Hunting

Brings new capabilities that pinpoint key data and decrease false positives

Provides a step function improvement in alert contextualization

Proven Technology

Based on Qosmos ixEngine®, the most widely deployed DPI software in cybersecurity

Best-in-class Classification and Metadata Extraction

3200+ protocols classified and 5000 application metadata extracted

Unique real-time Deep File Inspection capabilities

Precise end point identification (device, IP, user, domain name, etc.)

Protocol metadata specific to cybersecurity requirements

Powerful Flow Processing

Scales to nx10 Gbps of traffic per probe

Classification of traffic encapsulated into all types of tunnels (GTP, GRE, PPOE, etc.)

Key Facts

Application Datasheet

Standalone, Best-in-Class Traffic Intelligence based on Protocol & Metadata Information

Qosmos Probe as a DPI Sensor for Cyber Threat Hunting

Page 2: Qosmos Probe as a DPI Sensor for yber Threat Hunting · onfiguration and Management • NETONF API • Multi-tenant entralized Management onsole for configuration and status information

Example of Qosmos Probe DPI Sensor in a SOC Architecture

Enea develops network software for the connected society, supplying solutions for mobile traffic optimization, subscriber data management, network virtualization, traffic classification, embedded operating systems, and professional services. More than 3 billion people around the globe rely on our technologies in their daily lives. Enea’s leading DPI-based IP traffic classification and network intelligence software is embedded by vendors and integrators into their products sold to telcos, cloud service providers and enterprises. For more information on Enea’s Qosmos Probe or Qosmos DPI technology: www.qosmos.com.

Copyright © 2019 Enea. All rights reserved. Enea and the Enea logo, are trademarks of Enea. Qosmos, Qosmos Classifier, Qosmos Service Aware Module, Qosmos Service Aware Module for vSwitch, Qosmos SAM and Qosmos ixEngine are trademarks of Qosmos Tech. Other names and brands may be claimed as the property of others.

Configuration and Management • NETCONF API

• Multi-tenant Centralized Management Console for configuration and status information (counters, errors, log messages, configuration)

Integration in a Physical Appliance • Runs on commodity hardware (x86_64 architecture)

• CentOS or RHEL 7

• DPDK packet capture framework

Deliverables Qosmos Probe is delivered as a fully customizable Linux application: Probe Software Package (e.g. VM, container, RPM…).

Qosmos Probe Architecture

www.enea.com

Performance • Up to 20 Gbps traffic per probe, can be stacked and

managed as a single entity

• 1 Gbps / core CPU, 4GB RAM per Gbps

Data Aggregation Ability to send cross-flow records (statistics per IP, per application, per Host Name….) to reduce the number of Events per Second

Deep File Inspection Detects file type, checks consistency between MIME type and file extensions, computes file hash and extracts metadata.

• File hashes: MD5, SHA-1, CTPH

• More than 280 file types: application, video, audio, text...

Analytics Sample for Cyber Security Operations • Keys: flow_id,application, ip_srv, port_srv, ip_clt,

http.server, http.uri_path, http.code…

• Metrics: stc_packet-count, stc_volume, dfi.mimetype*, dfi.ctph*, http.mime_type…

*dfi = Deep File Inspection, i.e. inspection of file content

Statistics aggregation can be exported in CSV, IPFIX or JSON (compatible with ELK and InfluxDB databases)

Custom Signature Module (CSM) The CSM module allows you to create your own classification signatures and load them into the Qosmos Probe in real-time.

DATA EXPORT

DATA FORMAT

PACKET CAPTURE

METRICS BUILDER

DATA ENRICHMENT

CLASSIFICATION & METADATA EXTRACTION C

ON

FIG

UR

ATI

ON

File, Database Network export (UDP, TCP, Kafka)

CSV, IPFIX, JSON….

3100+ protocols, 5000+ metadata

IP, UDP, TCP: source/dest.@, port, server port…

GTP: Device, User loc., QoS, time/duration…

HTTP: URL, browser, cookies, DNS, authentication… + 60 others etc…

Deep File Inspection, correlation with VM/container names, DNS resolution, device detection, User Correlation (GTP, RADIUS, LDAP)

PCAP, Packet mmap, DPDK