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mukul975
27c6414ca5
Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
---
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name: implementing-network-traffic-analysis-with-arkime
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description: >-
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Deploy and query Arkime (formerly Moloch) for full packet capture network
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traffic analysis. Uses the Arkime API v3 to search sessions, download PCAPs,
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analyze connection patterns, detect beaconing behavior, and identify suspicious
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network flows. Monitors DNS queries, HTTP traffic, and TLS certificate anomalies
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across captured traffic.
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---
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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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