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mukul975
efca3ec611
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
65 lines
2.0 KiB
Markdown
65 lines
2.0 KiB
Markdown
---
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name: implementing-network-traffic-analysis-with-arkime
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description: Deploy and query Arkime (formerly Moloch) for full packet capture network traffic analysis. Uses the Arkime API
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v3 to search sessions, download PCAPs, analyze connection patterns, detect beaconing behavior, and identify suspicious network
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flows. Monitors DNS queries, HTTP traffic, and TLS certificate anomalies across captured traffic.
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domain: cybersecurity
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subdomain: network-security
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tags:
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- implementing
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- network
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- traffic
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- analysis
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.IR-01
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- DE.CM-01
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- ID.AM-03
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- PR.DS-02
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---
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# Implementing Network Traffic Analysis with Arkime
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## When to Use
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- When deploying or configuring implementing network traffic analysis with arkime capabilities in your environment
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- When establishing security controls aligned to compliance requirements
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- When building or improving security architecture for this domain
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- When conducting security assessments that require this implementation
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## Prerequisites
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- Familiarity with network security concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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1. Install dependencies: `pip install requests`
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2. Configure Arkime viewer URL and credentials.
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3. Run the agent to query Arkime sessions and analyze traffic:
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- Search sessions by IP, port, protocol, or expression
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- Download PCAP data for forensic analysis
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- Detect C2 beaconing via connection interval analysis
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- Identify DNS tunneling through query length statistics
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- Flag connections to known-bad TLS certificate issuers
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```bash
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python scripts/agent.py --arkime-url https://arkime.local:8005 --user admin --password secret --output arkime_report.json
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```
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## Examples
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### Beaconing Detection
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```
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Source: 10.1.2.50 -> 185.220.101.34:443
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Sessions: 288 over 24 hours
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Avg interval: 300s, Jitter: 4.2%
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Verdict: HIGH confidence C2 beaconing (jitter < 5%)
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```
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