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Agent Skill · 前端设计

configuring-snort-ids-for-intrusion-detection(配置 Snort id 进行入侵检测)

configuring-snort-ids-for-intrusion-detection 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。

configuring-snort-ids-for-intrusion-detection 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,权限为执行命令;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 8,200。

总安装 306周安装 13GitHub Stars 5,921下载 107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
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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:configuring-snort-ids-for-intrusion-detection(配置 Snort id 进行入侵检测)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/configuring-snort-ids-for-intrusion-detection
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill configuring-snort-ids-for-intrusion-detection
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 configuring-snort-ids-for-intrusion-detection

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。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库进一步核验具体用法和适用条件。

configuring-snort-ids-for-intrusion-detection 属于前端设计类 Skill,可作为该场景下的辅助能力补充。安装前建议确认权限范围及是否触发联网或命令执行。当前暂无已知稳定性问题,但需人工复核具体实现细节。

来源仓库内路径:skills/configuring-snort-ids-for-intrusion-detection

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

    它需要执行命令,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

configuring-snort-ids-for-intrusion-detection 怎么安装?

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

configuring-snort-ids-for-intrusion-detection 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。

configuring-snort-ids-for-intrusion-detection 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill configuring-snort-ids-for-intrusion-detection 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

configuring-snort-ids-for-intrusion-detection 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。

configuring-snort-ids-for-intrusion-detection 用的人多吗?

公开数据是累计安装 306 次,近一周安装 13 次,下载 107 次,GitHub 5,921 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。

configuring-snort-ids-for-intrusion-detection 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 5,921 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
configuring-snort-ids-for-intrusion-detection

配置 Snort id 进行入侵检测 · 本页

3065,921执行命令未明确有提醒

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

Configuring Snort IDS for Intrusion Detection

When to Use

  • Deploying a network-based intrusion detection system to monitor traffic at key network boundaries
  • Writing custom Snort rules to detect organization-specific threats, attack patterns, or policy violations
  • Tuning existing rulesets to reduce false positives while maintaining detection coverage
  • Integrating Snort alerts with SIEM platforms for centralized security monitoring
  • Validating network security controls by generating test traffic and confirming detection

Do not use as a replacement for endpoint detection, for monitoring encrypted traffic without TLS inspection, or as the sole security control without complementary defenses.

Prerequisites

  • Snort 3.x installed from source or package manager (snort --version to verify)
  • Network interface configured for promiscuous mode on a span port or network tap
  • DAQ (Data Acquisition Library) installed for packet capture integration
  • Registered Snort account for downloading Snort Subscriber (paid) or Community rulesets from snort.org
  • PulledPork 3 or similar rule management tool for automated ruleset updates
  • Sufficient CPU and memory for inline traffic inspection at line rate

Workflow

Step 1: Install and Verify Snort 3

# Install dependencies (Ubuntu/Debian)
sudo apt install -y build-essential libpcap-dev libpcre3-dev libnet1-dev \
  zlib1g-dev luajit hwloc libdumbnet-dev bison flex libcmocka-dev \
  libnetfilter-queue-dev libmnl-dev autotools-dev libluajit-5.1-dev \
  pkg-config cmake libhwloc-dev liblzma-dev openssl libssl-dev cpputest \
  libsqlite3-dev uuid-dev

# Install DAQ from source
git clone https://github.com/snort3/libdaq.git
cd libdaq && ./bootstrap && ./configure && make && sudo make install

# Install Snort 3
git clone https://github.com/snort3/snort3.git
cd snort3 && ./configure_cmake.sh --prefix=/usr/local
cd build && make -j$(nproc) && sudo make install
sudo ldconfig

# Verify installation
snort -V

Step 2: Configure Network Interfaces

# Disable offloading features that interfere with packet inspection
sudo ethtool -K eth1 gro off lro off tso off gso off rx off tx off

# Enable promiscuous mode
sudo ip link set eth1 promisc on

# Create systemd service for persistent interface configuration
sudo tee /etc/systemd/system/snort-iface.service << 'EOF'
[Unit]
Description=Configure Snort capture interface
Before=snort.service

[Service]
Type=oneshot
ExecStart=/sbin/ethtool -K eth1 gro off lro off tso off gso off rx off tx off
ExecStart=/sbin/ip link set eth1 promisc on
RemainAfterExit=yes

[Install]
WantedBy=multi-user.target
EOF

sudo systemctl enable snort-iface.service

Step 3: Configure Snort 3 with Lua Configuration

# Create Snort directory structure
sudo mkdir -p /usr/local/etc/snort/{rules,builtin_rules,lists,appid}
sudo mkdir -p /var/log/snort

# Edit the main Snort configuration
sudo tee /usr/local/etc/snort/snort.lua << 'LUAEOF'
-- Snort 3 Configuration

-- Network variables
HOME_NET = '10.10.0.0/16'
EXTERNAL_NET = '!$HOME_NET'

-- Path variables
RULE_PATH = '/usr/local/etc/snort/rules'
BUILTIN_RULE_PATH = '/usr/local/etc/snort/builtin_rules'

-- Configure DAQ
daq = {
    module_dirs = { '/usr/local/lib/daq' },
    modules = { { name = 'afpacket', variables = { 'buffer_size_mb=256' } } }
}

-- Decoder configuration
normalizer = { tcp = { ips = true } }

-- Stream inspection
stream = { }
stream_tcp = { policy = 'linux', session_timeout = 180 }
stream_udp = { session_timeout = 30 }
stream_icmp = { }

-- HTTP inspection
http_inspect = { }

-- DNS inspection
dns = { }

-- SSL/TLS inspection
ssl = { }

-- SMB inspection
dce_smb = { }

-- File identification and processing
file_id = { rules_file = '/usr/local/etc/snort/file_magic.rules' }

-- Port scan detection
port_scan = {
    protos = 'all',
    scan_types = 'all',
    memcap = 10000000
}

-- Reputation-based filtering
-- reputation = {
--     blacklist = RULE_PATH .. '/blocklist.rules'
-- }

-- IPS rules
ips = {
    enable_builtin_rules = true,
    include = RULE_PATH .. '/snort3-community.rules',
    variables = {
        nets = { HOME_NET = HOME_NET, EXTERNAL_NET = EXTERNAL_NET },
        ports = {
            HTTP_PORTS = '80 8080 8443',
            SSH_PORTS = '22',
            DNS_PORTS = '53'
        }
    }
}

-- Alert output
alert_fast = {
    file = true,
    packet = false,
    limit = 100
}

-- Unified2 output for Barnyard2/SIEM integration
-- alert_unified2 = { limit = 128 }

-- JSON alert output
alert_json = {
    file = true,
    limit = 100,
    fields = 'timestamp pkt_num proto pkt_gen pkt_len dir src_addr src_port dst_addr dst_port service rule action'
}

-- Syslog output
-- alert_syslog = { level = 'info', facility = 'local1' }

LUAEOF

Step 4: Download and Configure Rulesets

# Download Snort 3 Community Rules
wget https://www.snort.org/downloads/community/snort3-community-rules.tar.gz
tar xzf snort3-community-rules.tar.gz
sudo cp snort3-community-rules/snort3-community.rules /usr/local/etc/snort/rules/

# Install PulledPork 3 for automated rule management
git clone https://github.com/shirkdog/pulledpork3.git
cd pulledpork3
sudo python3 setup.py install

# Configure PulledPork
sudo tee /usr/local/etc/pulledpork3/pulledpork.conf << 'EOF'
registered_ruleset = true
oinkcode = <YOUR_OINK_CODE>
snort_path = /usr/local/bin/snort
local_rules = /usr/local/etc/snort/rules/local.rules
sorule_path = /usr/local/etc/snort/so_rules/
snort_version = 3.0.0.0
blocklist_path = /usr/local/etc/snort/lists/
pid_path = /var/run/snort.pid
ips_policy = balanced
EOF

# Run PulledPork to fetch and process rules
sudo pulledpork3 -c /usr/local/etc/pulledpork3/pulledpork.conf

Step 5: Write Custom Detection Rules

# Create local rules file
sudo tee /usr/local/etc/snort/rules/local.rules << 'EOF'
# Detect reverse shell on common ports
alert tcp $HOME_NET any -> $EXTERNAL_NET 4444 (
    msg:"LOCAL Possible Reverse Shell on port 4444";
    flow:established,to_server;
    content:"/bin/sh"; nocase;
    sid:1000001; rev:1;
    classtype:trojan-activity;
    priority:1;
)

# Detect Mimikatz execution indicators over SMB
alert tcp any any -> $HOME_NET 445 (
    msg:"LOCAL Mimikatz Lateral Movement via SMB";
    flow:established,to_server;
    content:"|FF|SMB";
    content:"mimikatz"; nocase; distance:0;
    sid:1000002; rev:1;
    classtype:trojan-activity;
    priority:1;
)

# Detect DNS tunneling (high-entropy long subdomain queries)
alert udp $HOME_NET any -> any 53 (
    msg:"LOCAL Possible DNS Tunneling - Long Query Name";
    content:"|01 00|"; offset:2; depth:2;
    byte_test:1,>,50,12;
    sid:1000003; rev:1;
    classtype:policy-violation;
    priority:2;
)

# Detect cleartext password transmission via FTP
alert tcp $HOME_NET any -> any 21 (
    msg:"LOCAL FTP Cleartext Password Detected";
    flow:established,to_server;
    content:"PASS "; depth:5;
    sid:1000004; rev:1;
    classtype:policy-violation;
    priority:2;
)

# Detect potential port scan (SYN flood pattern)
alert tcp $EXTERNAL_NET any -> $HOME_NET any (
    msg:"LOCAL Possible Port Scan SYN Flood";
    flow:stateless;
    flags:S,12;
    threshold:type both, track by_src, count 100, seconds 10;
    sid:1000005; rev:1;
    classtype:attempted-recon;
    priority:2;
)
EOF

Step 6: Validate Configuration and Run

# Validate configuration
snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq -T

# Run Snort in IDS mode on the capture interface
sudo snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq \
  -i eth1 -l /var/log/snort -D

# Test rules against a PCAP file
snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq \
  -r test_traffic.pcap -l /var/log/snort/test/ -A fast

# Create systemd service for production deployment
sudo tee /etc/systemd/system/snort.service << 'EOF'
[Unit]
Description=Snort 3 IDS
After=network.target snort-iface.service

[Service]
Type=simple
ExecStart=/usr/local/bin/snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq -i eth1 -l /var/log/snort -D
ExecReload=/bin/kill -SIGHUP $MAINPID
Restart=on-failure

[Install]
WantedBy=multi-user.target
EOF

sudo systemctl enable --now snort.service

Step 7: Monitor Alerts and Tune Rules

# View real-time alerts
tail -f /var/log/snort/alert_fast.txt

# Parse JSON alerts for analysis
cat /var/log/snort/alert_json.txt | python3 -m json.tool

# Identify top triggered rules for tuning
grep -oP 'sid:\d+' /var/log/snort/alert_fast.txt | sort | uniq -c | sort -rn | head -20

# Suppress noisy false-positive rules
sudo tee -a /usr/local/etc/snort/rules/suppress.rules << 'EOF'
suppress gen_id 1, sig_id 2100498, track by_src, ip 10.10.1.100
suppress gen_id 1, sig_id 2100366, track by_dst, ip 10.10.5.0/24
EOF

# Verify rule count and performance
snort -c /usr/local/etc/snort/snort.lua --daq-dir /usr/local/lib/daq -T 2>&1 | grep -i "rules loaded"

Key Concepts

TermDefinition
IDS vs IPSIDS passively monitors traffic and generates alerts; IPS sits inline and can actively block or drop malicious packets in real time
Snort RuleDetection signature with header (action, protocol, src/dst, ports) and options (content matches, flow direction, metadata) that triggers on matching traffic
PreprocessorSnort component that normalizes and reassembles protocol-specific traffic before rule inspection, handling fragmentation, stream reassembly, and protocol anomalies
DAQ (Data Acquisition)Abstraction layer in Snort 3 that interfaces with packet capture mechanisms (AF_PACKET, PCAP, NFQ) for receiving network data
Oink CodePersonal registration code from snort.org required to download Snort Subscriber or Registered rulesets
Threshold/SuppressionTuning mechanisms that control alert frequency (threshold) or completely silence alerts from specific sources/destinations (suppress)

Tools & Systems

  • Snort 3: Open-source network intrusion detection and prevention system with Lua-based configuration and multithreaded architecture
  • PulledPork 3: Automated Snort rule management tool that downloads, processes, and deploys rulesets with policy-based filtering
  • Barnyard2: Dedicated spooler that reads Snort's unified2 binary output and writes to databases (MySQL, PostgreSQL) for SIEM integration
  • Snorby: Web-based Snort alert management console providing dashboards, event classification, and reporting
  • tcpreplay: Tool for replaying PCAP files through Snort to validate rules and test detection capabilities

Common Scenarios

Scenario: Deploying Snort IDS at a Network Perimeter for Compliance

Context: A healthcare organization needs to deploy network IDS to meet HIPAA technical safeguard requirements. The IDS must monitor traffic between the DMZ and internal network, detect common attack patterns, and forward alerts to the existing Splunk SIEM. The network carries approximately 500 Mbps of traffic during peak hours.

Approach:

  1. Install Snort 3 on a dedicated sensor with dual NICs -- one for monitoring (span port from core switch) and one for management
  2. Configure AF_PACKET DAQ with a 512 MB ring buffer to handle peak throughput without drops
  3. Deploy Snort Community rules plus Emerging Threats Open ruleset as baseline detection
  4. Write custom rules for organization-specific threats: detection of PHI data patterns (SSN, MRN formats) leaving the network, unauthorized access to DICOM/HL7 ports, and connections to known bad IP lists
  5. Configure JSON alert output and forward to Splunk via syslog using rsyslog
  6. Run Snort against 24 hours of captured baseline traffic to identify false positives, then create suppression rules for legitimate traffic patterns
  7. Enable Snort as a systemd service with automatic restart and log rotation

Pitfalls:

  • Deploying all available rules without tuning, overwhelming the sensor and SOC with thousands of daily false positives
  • Forgetting to disable NIC offloading, causing Snort to miss packets due to checksum errors or jumbo frames
  • Not sizing the sensor hardware for peak traffic, leading to packet drops during high-volume periods
  • Relying solely on community rules without custom rules for organization-specific threats and compliance requirements

Output Format

## Snort IDS Deployment Report

**Sensor**: snort-sensor-01 (10.10.1.250)
**Interface**: eth1 (span port from Core-SW1 gi0/24)
**Configuration**: /usr/local/etc/snort/snort.lua
**Ruleset**: Snort Community 3.0 + Local Rules (1,247 active rules)
**HOME_NET**: 10.10.0.0/16

### Detection Summary (24-hour baseline)

| Category | Alert Count | Top Rule SID |
|----------|-------------|--------------|
| Attempted Recon | 342 | 1:2100498 (ICMP ping) |
| Trojan Activity | 12 | 1:1000001 (Reverse shell) |
| Policy Violation | 87 | 1:1000004 (FTP cleartext) |
| Web Application Attack | 23 | 1:2100654 (SQL injection) |

### Tuning Actions Taken
- Suppressed SID 2100498 for 10.10.1.100 (monitoring server legitimate ICMP)
- Thresholded SID 1000004 to 5 alerts per source per hour
- Added 3 custom rules for PHI exfiltration detection

平台分布

Codex

33.93%
按下载量换算36

Claude

28.68%
按下载量换算31

Cursor

19.48%
按下载量换算21

Gemini CLI

9.96%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill configuring-snort-ids-for-intrusion-detection 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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