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SKILL.md
Configuring Suricata for Network Monitoring
When to Use
Deploying a high-performance IDS/IPS capable of multi-threaded packet processing for 10+ Gbps network links
Monitoring network traffic with protocol-aware inspection for HTTP, TLS, DNS, SMB, and other protocols
Generating structured EVE JSON logs for direct SIEM ingestion without custom parsers
Running in inline (IPS) mode to actively block malicious traffic at network choke points
Combining signature-based detection with protocol anomaly detection and file extraction
Do not use as a standalone security solution without complementary controls, for encrypted traffic inspection without TLS decryption capabilities, or on systems with insufficient CPU/memory for the expected traffic volume.
Prerequisites
Suricata 7.0+ installed from PPA or source (suricata --build-info)
Network interface on a span port, tap, or inline bridge for traffic capture
AF_PACKET or DPDK support for high-performance packet capture
Emerging Threats Open or Pro ruleset subscription (or Snort Talos rules via oinkcode)
suricata-update tool for automated rule management
Elasticsearch/Kibana or Splunk for log analysis and visualization
# Disable NIC offloading features
sudo ethtool -K eth1 gro off lro off tso off gso off rx off tx off sg off
# Set interface to promiscuous mode
sudo ip link set eth1 promisc on
# For high-performance deployments, configure AF_PACKET with multiple threads
# Edit /etc/suricata/suricata.yaml
Suricata's primary logging format producing structured JSON events for alerts, protocol metadata, flow records, and statistics
AF_PACKET
Linux kernel packet capture mechanism used by Suricata for high-performance traffic capture with kernel-bypass capabilities
JA3/JA3S
TLS fingerprinting method that creates hash values from TLS Client Hello and Server Hello parameters for identifying applications and malware
HASSH
SSH fingerprinting method similar to JA3 that creates hashes from SSH key exchange parameters to identify SSH client and server implementations
Community ID
Standardized flow identifier hash that enables correlation of the same network flow across different monitoring tools (Suricata, Zeek, Wireshark)
suricata-update
Official rule management tool that downloads, merges, and manages multiple rulesets with enable/disable controls
Tools & Systems
Suricata 7.0+: Open-source multi-threaded IDS/IPS/NSM engine with protocol detection, file extraction, and JA3/HASSH fingerprinting
suricata-update: Ruleset management tool supporting ET Open, ET Pro, Snort rules, and custom rule sources
Elastic Stack (ELK): Log aggregation and visualization platform with native Suricata module in Filebeat for dashboards and alerting
Scirius: Web-based Suricata rule management interface for editing, enabling/disabling, and monitoring rule performance
Evebox: Lightweight event viewer for Suricata EVE JSON logs with alert management and escalation capabilities
Common Scenarios
Scenario: Deploying Suricata IDS on a 10 Gbps Enterprise Network Perimeter
Context: A technology company needs to deploy IDS at their internet egress point handling 10 Gbps of traffic. They require protocol-level metadata logging for threat hunting, signature-based alerting for known threats, and JA3 fingerprinting for detecting malware C2 communications. Alerts must feed into their Elastic SIEM.
Approach:
Deploy Suricata on a server with 16 CPU cores, 64 GB RAM, and dual 10G NICs using AF_PACKET with 14 worker threads
Enable ET Open and ptresearch/attackdetection rulesets via suricata-update, totaling approximately 35,000 active rules
Configure EVE JSON logging with community-id, extended HTTP/TLS/DNS metadata, and file hashing (MD5 + SHA256)
Enable JA3 and HASSH fingerprinting for TLS and SSH traffic profiling
Write custom rules for organization-specific threats: known bad JA3 hashes, DNS queries to DGA domains, large data uploads to uncommon destinations
Integrate with Elastic via Filebeat's Suricata module, deploying pre-built Kibana dashboards for real-time visibility
Tune rules over a 2-week baseline period, disabling false-positive generators and adjusting thresholds
Pitfalls:
Not allocating sufficient CPU threads, causing packet drops at peak traffic volumes
Enabling all available rules without tuning, overwhelming analysts with false positives
Forgetting to disable NIC offloading, resulting in incorrect checksums and missed detections
Not enabling community-id, making it difficult to correlate Suricata events with Zeek or other tools
