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Mahipal
2fb6a9faff
Each rewritten description now states both what the skill does (concrete capability, named tools/artifacts) and an explicit when-to-use trigger, improving agent discovery/activation. Grounded in each skill's own body; changes confined to the `description` field only (bodies and all other frontmatter untouched). Produced by a gated audit->rewrite->recheck loop (548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded). Schema: 817/817 pass. Framework-ID gate: 0 defects.
75 lines
2.2 KiB
Markdown
75 lines
2.2 KiB
Markdown
---
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name: implementing-network-traffic-analysis-with-arkime
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description: Queries Arkime (formerly Moloch) full packet capture via its API to search sessions,
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download PCAPs, detect C2 beaconing through connection interval/jitter stats,
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spot DNS tunneling via query-length analysis, and flag known-bad TLS certificate
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issuers, using the bundled scripts/agent.py. Use when investigating suspicious
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network flows or doing full-packet-capture forensics against an Arkime deployment.
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domain: cybersecurity
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subdomain: network-security
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tags:
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- network-security
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- arkime
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- full-packet-capture
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- nta
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- pcap-analysis
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- network-forensics
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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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mitre_attack:
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- T1046
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- T1040
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- T1557
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- T1071
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- T1095
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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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