implementing-network-traffic-analysis-with-arkime

name	implementing-network-traffic-analysis-with-arkime
description	Deploy and query Arkime (formerly Moloch) for full packet capture network traffic analysis. Uses the Arkime API v3 to search sessions, download PCAPs, analyze connection patterns, detect beaconing behavior, and identify suspicious network flows. Monitors DNS queries, HTTP traffic, and TLS certificate anomalies across captured traffic.
domain	cybersecurity
subdomain	network-security
tags	["network-security","arkime","full-packet-capture","nta","pcap-analysis","network-forensics"]
version	1.0
author	mahipal
license	Apache-2.0
nist_csf	["PR.IR-01","DE.CM-01","ID.AM-03","PR.DS-02"]
mitre_attack	["T1046","T1040","T1557","T1071","T1095"]
source	https://github.com/mukul975/Anthropic-Cybersecurity-Skills
source_commit	04450304b12645cb2b974ab96d28c0664758a88d

Implementing Network Traffic Analysis with Arkime

When to Use

• When deploying or configuring implementing network traffic analysis with arkime capabilities in your environment
• When establishing security controls aligned to compliance requirements
• When building or improving security architecture for this domain
• When conducting security assessments that require this implementation

Prerequisites

• Familiarity with network security concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Instructions

1. Install dependencies: pip install requests
2. Configure Arkime viewer URL and credentials.
3. Run the agent to query Arkime sessions and analyze traffic:
   • Search sessions by IP, port, protocol, or expression
   • Download PCAP data for forensic analysis
   • Detect C2 beaconing via connection interval analysis
   • Identify DNS tunneling through query length statistics
   • Flag connections to known-bad TLS certificate issuers

python scripts/agent.py --arkime-url https://arkime.local:8005 --user admin --password secret --output arkime_report.json

Examples

Beaconing Detection

Source: 10.1.2.50 -> 185.220.101.34:443
Sessions: 288 over 24 hours
Avg interval: 300s, Jitter: 4.2%
Verdict: HIGH confidence C2 beaconing (jitter < 5%)