implementing-network-traffic-analysis-with-arkime skill (Anthropic-Cybersecurity-Skills)
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Contents
What it does. Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).
| Upstream | mukul975/Anthropic-Cybersecurity-Skills |
| Skill file | skills/implementing-network-traffic-analysis-with-arkime/SKILL.md |
| License | Apache-2.0 (skill folder LICENSE) |
| Author | mukul975 |
| Fetched | 2026-09-10 |
Install
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-network-traffic-analysis-with-arkime, or copy the skill folder into~/.claude/skills/implementing-network-traffic-analysis-with-arkime/.- Raw file:
curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/implementing-network-traffic-analysis-with-arkime/SKILL.md
SKILL.md (verbatim)
name: implementing-network-traffic-analysis-with-arkime
description: Queries Arkime (formerly Moloch) full packet capture via its API to search sessions,
download PCAPs, detect C2 beaconing through connection interval/jitter stats,
spot DNS tunneling via query-length analysis, and flag known-bad TLS certificate
issuers, using the bundled scripts/agent.py. Use when investigating suspicious
network flows or doing full-packet-capture forensics against an Arkime deployment.
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
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
- Install dependencies:
pip install requests - Configure Arkime viewer URL and credentials.
- 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%)
Other files in this skill
references/api-reference.md (verbatim)
API Reference: Arkime Network Traffic Analysis
Authentication
HTTPDigestAuth(username, password)
All API requests require Digest authentication.
Session Search
GET /api/sessions
| Parameter | Type | Description |
|---|---|---|
date |
int | Time range in hours (1=last hour) |
expression |
string | Arkime search expression |
length |
int | Max results to return |
order |
string | Sort field:direction (e.g. lastPacket:desc) |
fields |
string | Comma-separated field list |
PCAP Download
GET /api/sessions/pcap
GET /api/sessions/pcapng
| Parameter | Description |
|---|---|
date |
Time range in hours |
expression |
Filter expression |
| Returns raw PCAP/PCAPNG binary data. |
Connection Graph
GET /api/connections
Returns nodes (IPs) and links (connections) for network graph visualization.
SPI View (Field Statistics)
GET /api/spiview
| Parameter | Description |
|---|---|
spi |
Comma-separated fields (e.g. srcIp,dstIp,dstPort) |
| Returns top values and counts for each field. |
Session Fields
| Field | Description |
|---|---|
srcIp |
Source IP address |
dstIp |
Destination IP address |
srcPort |
Source port |
dstPort |
Destination port |
srcBytes |
Bytes sent by source |
dstBytes |
Bytes sent by destination |
lastPacket |
Timestamp of last packet (ms) |
srcJa3 |
JA3 fingerprint of client TLS |
tls.issuerCN |
TLS certificate issuer CN |
tls.subjectCN |
TLS certificate subject CN |
tls.notAfter |
Certificate expiry (ms epoch) |
Search Expressions
ip.src == 10.0.0.0/8
port.dst == 443
protocols == tls
country.src == CN
bytes > 1000000
Beaconing Detection Logic
- Collect connection timestamps per (src, dst, port) tuple
- Calculate intervals between consecutive connections
- Compute jitter ratio:
std_dev / avg_interval - Jitter < 0.05 = high confidence C2, < 0.15 = medium
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