analyzing-network-traffic-for-incidents

analyzing-network-traffic-for-incidents is a skill for Claude Code from killvxk/cybersecurity-skills-zh. It costs 114 tokens per session (3,074 once invoked), scanned A, original, Apache-2.0.

A guide to investigating network traffic during a security incident using packet captures, Zeek logs, and NetFlow, which summarizes connections between systems.

In plain words
What is it for?
Use it to capture or review traffic, identify command-and-control beaconing, trace lateral movement, estimate exfiltrated data, and validate intrusion-detection alerts.
Why use it?
It helps confirm or dismiss alerts and measure attacker communication, movement between systems, data theft, and exploitation attempts from network evidence.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the cybersecurity-skills-zh plugin — 58 skills shipped together

Good fit Use it to capture or review traffic, identify command-and-control beaconing, trace lateral movement, estimate exfiltrated data, and validate intrusion-detection alerts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add killvxk/cybersecurity-skills-zh --skill analyzing-network-traffic-for-incidents
Clone the repo
git clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zh

Made for: Claude Code.

Or install cybersecurity-skills-zh, the plugin that ships this one along with the rest of its 58 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-network-traffic-for-incidents

README.md
[![agentmods](https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents/github.svg)](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents)
Your own site
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyzing-network-traffic-for-incidents

Your own site · 80×15
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-network-traffic-for-incidents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,074 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.03074
Opus 5 $0.00057 $0.01537
Sonnet 5 $0.00023 $0.00615
Haiku 4.5 $0.00011 $0.00307

Measured 12d ago against content hash 26d072784a16, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

analyzing-network-traffic-for-incidents scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analyzing-network-traffic-for-incidents/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

针对安全事件的网络流量分析

适用场景

  • SIEM 告警显示异常网络流量模式,需要深入调查
  • 怀疑存在 C2 信标(beaconing),需通过数据包级别分析加以确认
  • 需要从网络证据中量化数据外泄的规模或目标地址
  • 需要通过网络连接追踪系统间的横向移动
  • IDS/IPS 告警需要数据包级别验证以确认或排除

不适用于基于主机的取证分析(进程执行、文件系统制品);此类场景请使用终端取证工具。

前置条件

  • 全量数据包捕获(PCAP)基础设施或按需捕获能力(网络分路器、SPAN 端口)
  • 分析工作站上已安装 Wireshark,并掌握相应显示过滤器知识
  • 已部署 Zeek(原 Bro)用于生成网络元数据(conn.log、dns.log、http.log、ssl.log)
  • 从网络设备收集 NetFlow/IPFIX,用于流量分析
  • 网络架构图,展示 VLAN 布局、防火墙位置和监控点
  • 威胁情报(threat intelligence)源,用于关联观察到的网络失陷指标(IOC)

工作流程

步骤 1:捕获或获取网络流量

获取调查所需的相关流量数据:

实时捕获(事件仍在进行时):

# 在特定接口上按主机过滤进行捕获
tcpdump -i eth0 -w capture.pcap host 10.1.5.42

# 捕获发往特定外部 IP 的 C2 流量
tcpdump -i eth0 -w c2_traffic.pcap host 185.220.101.42

# 带滚动轮转的捕获(每个文件 1GB,保留 10 个)
tcpdump -i eth0 -w capture_%Y%m%d%H%M.pcap -C 1000 -W 10

从现有基础设施获取:

  • 从全量数据包捕获设备导出 PCAP(Arkime/Moloch、ExtraHop、Corelight)
  • 从 Zeek 集群拉取调查时间段内的 Zeek 日志
  • 从网络设备导出 NetFlow 数据,用于高层流量分析

步骤 2:识别 C2 通信

检测命令与控制流量模式:

信标检测(Zeek conn.log):

# 提取具有规律间隔的对外连接
cat conn.log | zeek-cut ts id.orig_h id.resp_h id.resp_p duration orig_bytes resp_bytes \
  | awk '$4 ~ /^185\.220/' | sort -t. -k1,1n -k2,2n

Wireshark 信标分析:

# 过滤发往可疑 C2 IP 的流量
ip.addr == 185.220.101.42

# 过滤非标准端口上的 HTTPS 流量
tcp.port != 443 && ssl

# 过滤可疑域名的 DNS 查询
dns.qry.name contains "evil" or dns.qry.name matches "^[a-z0-9]{32}\."

# 过滤 HTTP POST(常见 C2 上线方式)
http.request.method == "POST" && ip.dst == 185.220.101.42

信标特征识别要点:

  • 连接之间存在规律性时间间隔(例如每 60 秒,抖动(jitter)10-15%)
  • 请求和响应中数据包大小保持一致
  • HTTPS 连接发往与合法 CDN 或服务无关的外部 IP
  • DNS 查询子域熵值高(DNS 隧道(DNS tunneling)指标)

步骤 3:分析横向移动流量

追踪攻击者在内部系统间的移动路径:

横向移动检测关键协议:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SMB (TCP 445):     PsExec、文件共享访问、勒索软件传播
RDP (TCP 3389):    远程桌面会话
WinRM (TCP 5985):  PowerShell 远程访问
WMI (TCP 135):     远程命令执行
SSH (TCP 22):      Linux 横向移动
DCE/RPC (TCP 135): 基于 DCOM 的横向移动

横向移动的 Wireshark 过滤器:

# SMB 横向移动
smb2 && ip.src == 10.1.5.42 && ip.dst != 10.1.5.42

# 来自失陷主机的 RDP 连接
tcp.dstport == 3389 && ip.src == 10.1.5.42

# Kerberos 票据请求(潜在的票据传递(Pass-the-Ticket))
kerberos.msg_type == 12 && ip.src == 10.1.5.42

# NTLM 认证(潜在的哈希传递(Pass-the-Hash))
ntlmssp.auth.username && ip.src == 10.1.5.42

Read the full file on GitHub · 248 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 248 lines · 114 tokens per session scan A 26d072784a16

Subscribe to this mod's changes

analyzing-network-traffic-for-incidents is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 114 tokens to every session and 3,074 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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