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Agent Skill · 前端设计

performing-network-traffic-analysis-with-zeek(使用 zeek 进行网络流量分析)

performing-network-traffic-analysis-with-zeek 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

performing-network-traffic-analysis-with-zeek 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 9,432。

总安装 216周安装 9GitHub Stars 5,934下载 72核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:performing-network-traffic-analysis-with-zeek(使用 zeek 进行网络流量分析)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/performing-network-traffic-analysis-with-zeek
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-network-traffic-analysis-with-zeek
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-network-traffic-analysis-with-zeek

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

使用 zeek 进行网络流量分析,生成结构化日志。适用于长期监控、行为建模与异常检测。解析各类协议并输出连接、DNS、HTTP 等行为记录。部署时注意资源消耗,合理配置输出粒度与存储。

performing-network-traffic-analysis-with-zeek 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/performing-network-traffic-analysis-with-zeek

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

performing-network-traffic-analysis-with-zeek 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performi…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

performing-network-traffic-analysis-with-zeek 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

performing-network-traffic-analysis-with-zeek 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

performing-network-traffic-analysis-with-zeek 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

performing-network-traffic-analysis-with-zeek 用的人多吗?

公开数据是累计安装 216 次,近一周安装 9 次,下载 72 次,GitHub 5,934 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

performing-network-traffic-analysis-with-zeek 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 5,934 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
performing-network-traffic-analysis-with-zeek

使用 zeek 进行网络流量分析 · 本页

2165,934需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Performing Network Traffic Analysis with Zeek

Overview

Zeek (formerly Bro) is an open-source network analysis framework that operates as a passive network security monitor. Unlike traditional signature-based IDS tools, Zeek generates high-fidelity structured logs from observed network traffic, capturing detailed metadata for protocols including HTTP, DNS, TLS, SSH, SMTP, FTP, and dozens more. Zeek's extensible scripting language enables custom detection logic, behavioral analysis, and automated response. This skill covers deploying Zeek, understanding its log architecture, writing custom detection scripts, and integrating outputs with SIEM platforms.

When to Use

  • When conducting security assessments that involve performing network traffic analysis with zeek
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Linux server (Ubuntu 22.04+ or CentOS 8+) with 4+ CPU cores and 8GB+ RAM
  • Network TAP or SPAN port mirroring configured for traffic capture
  • Zeek 6.0+ installed (via package manager or source compilation)
  • Root or capture group privileges for packet capture
  • SIEM platform (Splunk, ELK Stack, or QRadar) for log ingestion

Core Concepts

Zeek Architecture

Zeek operates in two main modes:

  1. Live Capture - Monitors traffic in real-time on one or more network interfaces
  2. Offline Analysis - Processes saved PCAP files for retrospective analysis

The processing pipeline consists of:

  • Packet Capture Layer - Reads raw packets from interfaces or PCAP files
  • Event Engine - Reassembles TCP streams and generates protocol events
  • Script Interpreter - Executes Zeek scripts that process events and generate logs
  • Log Framework - Writes structured logs in TSV, JSON, or custom formats

Log Architecture

Zeek generates protocol-specific log files:

Log FileDescription
conn.logTCP/UDP/ICMP connection summaries with duration, bytes, state
dns.logDNS queries and responses with query type, answers, TTL
http.logHTTP requests/responses with URIs, user agents, MIME types
ssl.logTLS handshake details including certificate chain, JA3/JA3S
files.logFile transfers with MIME types, hashes (MD5, SHA1, SHA256)
notice.logAlerts generated by Zeek detection scripts
weird.logProtocol anomalies and unexpected behaviors
x509.logCertificate details from TLS connections
smtp.logEmail metadata including sender, recipient, subject
ssh.logSSH connection details and authentication results
pe.logPortable Executable file metadata
dpd.logDynamic Protocol Detection failures

Workflow

Step 1: Install and Configure Zeek

# Install Zeek on Ubuntu
sudo apt-get install -y zeek

# Or install from Zeek repository
echo 'deb http://download.opensuse.org/repositories/security:/zeek/xUbuntu_22.04/ /' | \
    sudo tee /etc/apt/sources.list.d/zeek.list
sudo apt-get update && sudo apt-get install -y zeek-lts

# Verify installation
zeek --version

Configure the node layout in /opt/zeek/etc/node.cfg:

[manager]
type=manager
host=localhost

[proxy-1]
type=proxy
host=localhost

[worker-1]
type=worker
host=localhost
interface=eth0
lb_method=pf_ring
lb_procs=4

[worker-2]
type=worker
host=localhost
interface=eth1
lb_method=pf_ring
lb_procs=4

Configure network definitions in /opt/zeek/etc/networks.cfg:

# Internal network ranges
10.0.0.0/8         Private RFC1918
172.16.0.0/12      Private RFC1918
192.168.0.0/16     Private RFC1918

Step 2: Configure Logging and Output

Edit /opt/zeek/share/zeek/site/local.zeek:

# Load standard detection scripts
@load base/protocols/conn
@load base/protocols/dns
@load base/protocols/http
@load base/protocols/ssl
@load base/protocols/ssh
@load base/protocols/smtp
@load base/protocols/ftp

# Load file analysis
@load base/files/hash-all-files
@load base/files/extract-all-files

# Load detection frameworks
@load base/frameworks/notice
@load base/frameworks/intel
@load base/frameworks/files
@load base/frameworks/software

# Load additional protocol analyzers
@load policy/protocols/ssl/validate-certs
@load policy/protocols/ssl/log-hostcerts-only
@load policy/protocols/ssh/detect-bruteforcing
@load policy/protocols/dns/detect-external-names
@load policy/protocols/http/detect-sqli

# Enable JA3 fingerprinting
@load policy/protocols/ssl/ja3

# Enable JSON output for SIEM ingestion
@load policy/tuning/json-logs

redef LogAscii::use_json = T;

# Configure file extraction directory
redef FileExtract::prefix = "/opt/zeek/extracted/";

# Set notice email
redef Notice::mail_dest = "soc@example.com";

Step 3: Write Custom Detection Scripts

Create detection scripts for common threats:

Detect DNS Tunneling (/opt/zeek/share/zeek/site/detect-dns-tunnel.zeek):

@load base/protocols/dns

module DNSTunnel;

export {
    redef enum Notice::Type += {
        DNS_Tunnel_Suspected
    };

    # Threshold for suspicious DNS query length
    const query_len_threshold = 50 &redef;

    # Track query counts per host per domain
    global dns_query_counts: table[addr, string] of count &default=0 &create_expire=5min;

    # High query volume threshold
    const query_volume_threshold = 100 &redef;
}

event dns_request(c: connection, msg: dns_msg, query: string, qtype: count, qclass: count)
{
    if ( |query| > query_len_threshold )
    {
        local parts = split_string(query, /\./);
        if ( |parts| > 3 )
        {
            local base_domain = cat(parts[|parts|-2], ".", parts[|parts|-1]);
            dns_query_counts[c$id$orig_h, base_domain] += 1;

            if ( dns_query_counts[c$id$orig_h, base_domain] > query_volume_threshold )
            {
                NOTICE([$note=DNS_Tunnel_Suspected,
                        $msg=fmt("Possible DNS tunneling: %s queries to %s with long query names",
                                 c$id$orig_h, base_domain),
                        $conn=c,
                        $identifier=cat(c$id$orig_h, base_domain),
                        $suppress_for=30min]);
            }
        }
    }
}

Detect Beaconing Behavior (/opt/zeek/share/zeek/site/detect-beaconing.zeek):

@load base/protocols/conn

module Beaconing;

export {
    redef enum Notice::Type += {
        C2_Beacon_Detected
    };

    # Track connection intervals
    global conn_intervals: table[addr, addr, port] of vector of time &create_expire=1hr;

    const min_connections = 20 &redef;
    const jitter_threshold = 0.15 &redef;
}

event connection_state_remove(c: connection)
{
    if ( c$id$resp_p == 80/tcp || c$id$resp_p == 443/tcp )
    {
        local key = [c$id$orig_h, c$id$resp_h, c$id$resp_p];

        if ( key !in conn_intervals )
            conn_intervals[key] = vector();

        conn_intervals[key] += network_time();

        if ( |conn_intervals[key]| >= min_connections )
        {
            local intervals: vector of interval = vector();
            local i = 1;
            while ( i < |conn_intervals[key]| )
            {
                intervals += conn_intervals[key][i] - conn_intervals[key][i-1];
                i += 1;
            }

            # Calculate mean and standard deviation
            local sum_val = 0.0;
            for ( idx in intervals )
                sum_val += interval_to_double(intervals[idx]);

            local mean_val = sum_val / |intervals|;

            local variance = 0.0;
            for ( idx in intervals )
            {
                local diff = interval_to_double(intervals[idx]) - mean_val;
                variance += diff * diff;
            }
            variance = variance / |intervals|;
            local stddev = sqrt(variance);

            if ( mean_val > 0 && (stddev / mean_val) < jitter_threshold )
            {
                NOTICE([$note=C2_Beacon_Detected,
                        $msg=fmt("Possible C2 beaconing: %s -> %s:%s (interval=%.1fs, jitter=%.2f)",
                                 c$id$orig_h, c$id$resp_h, c$id$resp_p,
                                 mean_val, stddev/mean_val),
                        $conn=c,
                        $identifier=cat(c$id$orig_h, c$id$resp_h),
                        $suppress_for=1hr]);
            }
        }
    }
}

Step 4: Configure Intel Framework

Load threat intelligence feeds into Zeek:

# In local.zeek
@load frameworks/intel/seen
@load frameworks/intel/do_notice

redef Intel::read_files += {
    "/opt/zeek/intel/malicious-ips.intel",
    "/opt/zeek/intel/malicious-domains.intel",
    "/opt/zeek/intel/malicious-hashes.intel",
};

Intel file format (/opt/zeek/intel/malicious-ips.intel):

#fields	indicator	indicator_type	meta.source	meta.desc	meta.do_notice
198.51.100.50	Intel::ADDR	abuse.ch	Known C2 server	T
203.0.113.100	Intel::ADDR	threatfeed	Ransomware infrastructure	T

Step 5: Deploy and Operate

# Deploy Zeek cluster
sudo /opt/zeek/bin/zeekctl deploy

# Check cluster status
sudo /opt/zeek/bin/zeekctl status

# Process offline PCAP
zeek -r capture.pcap local.zeek

# View logs
cat /opt/zeek/logs/current/conn.log | zeek-cut id.orig_h id.resp_h id.resp_p proto service duration orig_bytes resp_bytes

# Search for specific connections
cat /opt/zeek/logs/current/dns.log | zeek-cut query answers | grep -i "suspicious"

# Rotate logs
sudo /opt/zeek/bin/zeekctl cron

Step 6: SIEM Integration

Filebeat configuration for ELK Stack:

filebeat.inputs:
  - type: log
    enabled: true
    paths:
      - /opt/zeek/logs/current/*.log
    json.keys_under_root: true
    json.add_error_key: true
    fields:
      source: zeek
    fields_under_root: true

output.elasticsearch:
  hosts: ["https://elasticsearch:9200"]
  index: "zeek-%{+yyyy.MM.dd}"

setup.template.name: "zeek"
setup.template.pattern: "zeek-*"

Analysis Techniques

Connection Analysis

# Find top talkers by bytes
cat conn.log | zeek-cut id.orig_h orig_bytes | sort -t$'\t' -k2 -rn | head -20

# Find long-duration connections (potential C2)
cat conn.log | zeek-cut id.orig_h id.resp_h id.resp_p duration | awk '$4 > 3600' | sort -t$'\t' -k4 -rn

# Find connections with unusual ports
cat conn.log | zeek-cut id.resp_p proto | sort | uniq -c | sort -rn | head -30

TLS Analysis

# Find self-signed certificates
cat ssl.log | zeek-cut server_name validation_status | grep "self signed"

# Extract JA3 fingerprints for known malware
cat ssl.log | zeek-cut ja3 server_name | sort | uniq -c | sort -rn

# Find expired certificates
cat ssl.log | zeek-cut server_name not_valid_after | awk -F'\t' '$2 < systime()'

Best Practices

  • TAP Over SPAN - Use network TAPs instead of SPAN ports to avoid packet loss under load
  • Worker Scaling - Assign 1 Zeek worker per 1 Gbps of monitored traffic
  • AF_PACKET Clusters - Use AF_PACKET with load balancing for multi-core processing
  • Log Rotation - Configure automatic log rotation and archival (default: hourly)
  • Intel Updates - Automate threat intelligence feed updates at least daily
  • Packet Loss Monitoring - Monitor capture_loss.log for dropped packets
  • Custom Scripts - Develop organization-specific detections based on threat landscape

References

平台分布

Codex

37.74%
按下载量换算27

Claude

28.39%
按下载量换算20

Cursor

20%
按下载量换算14

Gemini CLI

10.11%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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