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mukul975 c47eed6a64 Production hardening: security fixes, code quality, 724 skills complete
- Fix 25 shell=True subprocess calls with list-based commands
- Fix 49 verify=False in defensive skills (env-var override)
- Add timeout to 231 HTTP/subprocess/socket calls
- Fix 6 SQL injection patterns with whitelist validation
- Replace 8 __import__() with standard imports
- Remove 701 unused imports across 442 files
- Add authorized-testing disclaimers to all offensive skills
- Complete 11 incomplete skill directories
- Expand 10 stub SKILL.md files with full content
- Fix 2 YAML parse errors in frontmatter
- Fix 5 pre-existing syntax errors
- Convert 22 hardcoded paths/ports to environment variables
- Back up 21 redundant skill pairs to .bak
- Fix 2 global declaration errors
- 724/724 skills with full folder anatomy (SKILL.md + agent.py + api-reference.md + LICENSE)
- 0 compile errors across all 724 agent.py files
2026-03-19 13:26:49 +01:00

1.4 KiB

name, description, domain, subdomain, tags, version, author, license
name description domain subdomain tags version author license
implementing-network-traffic-analysis-with-arkime 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. cybersecurity network-security
implementing
network
traffic
analysis
1.0 mahipal Apache-2.0

Implementing Network Traffic Analysis with Arkime

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%)