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dapt-intrusion-detection-threat-detectiondapt 入侵检测 威胁检测

Agent Skill

dapt-intrusion-detection-threat-detection 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

2,072

周安装

89

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公开资料未说明

下载量

726
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:dapt-intrusion-detection-threat-detection(dapt 入侵检测 威胁检测)
来源仓库:https://github.com/wu-uk/dapt-intrusion-detection-threat-detection
安装命令:
openclaw skills install dapt-intrusion-detection-threat-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install dapt-intrusion-detection-threat-detection

简介

dapt-intrusion-detection-threat-detection 用于识别恶意网络行为,包括端口扫描和 DoS 攻击。

  • 适用于 OpenClaw 环境中网络安全监控和威胁预警任务。
  • 通过 openclaw skills install dapt-intrusion-detection-threat-detection 安装并调用检测接口。
  • 需确保网络流量数据源合法,避免误判正常业务请求。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
threat-detection
description
Exact detection thresholds for identifying malicious network patterns including port scans, DoS attacks, and beaconing behavior.

Network Threat Detection Guide

This skill provides exact detection thresholds for identifying malicious network patterns. Use these specific thresholds - different values will produce incorrect results.

Port Scan Detection

Simple port count is NOT sufficient for detection! A high port count alone can be normal traffic.

Detection Requirements - ALL THREE Must Be Met

Port scanning is ONLY detected when ALL THREE conditions are true:

ConditionThresholdWhy
Port Entropy> 6.0 bitsScanners hit ports uniformly; normal traffic clusters on few ports (~4-5 bits)
SYN-only Ratio> 0.7 (70%)Scanners don't complete TCP handshake; they send SYN without ACK
Unique Ports> 100Must have enough port diversity to be meaningful

If ANY condition is not met, there is NO port scan.

Example: Why Simple Threshold Fails

Traffic with 1000 unique ports to one target:
  - Port entropy: 4.28 bits (BELOW 6.0 - fails!)
  - SYN-only ratio: 0.15 (BELOW 0.7 - fails!)
  - Result: NOT a port scan (normal service traffic)

Implementation

import sys
sys.path.insert(0, '/root/skills/pcap-analysis')
from pcap_utils import detect_port_scan

# Returns True ONLY if all three conditions are met
has_port_scan = detect_port_scan(tcp_packets)

Or implement manually:

import math
from collections import Counter, defaultdict
from scapy.all import IP, TCP

def detect_port_scan(tcp_packets):
    """
    Detect port scanning using entropy + SYN-only ratio.
    Returns True ONLY when ALL THREE conditions are met.
    """
    src_port_counts = defaultdict(Counter)
    src_syn_only = defaultdict(int)
    src_total = defaultdict(int)

    for pkt in tcp_packets:
        if IP not in pkt or TCP not in pkt:
            continue
        src = pkt[IP].src
        dst_port = pkt[TCP].dport
        flags = pkt[TCP].flags

        src_port_counts[src][dst_port] += 1
        src_total[src] += 1

        # SYN-only: SYN flag (0x02) without ACK (0x10)
        if flags & 0x02 and not (flags & 0x10):
            src_syn_only[src] += 1

    for src in src_port_counts:
        if src_total[src] < 50:
            continue

        # Calculate port entropy
        port_counter = src_port_counts[src]
        total = sum(port_counter.values())
        entropy = -sum((c/total) * math.log2(c/total) for c in port_counter.values() if c > 0)

        syn_ratio = src_syn_only[src] / src_total[src]
        unique_ports = len(port_counter)

        # ALL THREE conditions must be true!
        if entropy > 6.0 and syn_ratio > 0.7 and unique_ports > 100:
            return True

    return False

DoS Pattern Detection

DoS attacks cause extreme traffic spikes. The threshold is strict.

Detection Threshold

Ratio = packets_per_minute_max / packets_per_minute_avg

DoS detected if: Ratio > 20

Ratios of 5x, 10x, or even 15x are NORMAL traffic variations, NOT DoS!

Example

ppm_max = 2372, ppm_avg = 262.9
Ratio = 2372 / 262.9 = 9.02

9.02 < 20, therefore: NO DoS pattern

Implementation

import sys
sys.path.insert(0, '/root/skills/pcap-analysis')
from pcap_utils import detect_dos_pattern

has_dos = detect_dos_pattern(ppm_avg, ppm_max)  # Returns True/False

Or manually:

def detect_dos_pattern(ppm_avg, ppm_max):
    """DoS requires ratio > 20. Lower ratios are normal variation."""
    if ppm_avg == 0:
        return False
    ratio = ppm_max / ppm_avg
    return ratio > 20

C2 Beaconing Detection

Command-and-control beaconing shows regular, periodic timing.

Detection Threshold

IAT CV (Coefficient of Variation) = std / mean

Beaconing detected if: CV < 0.5

Low CV means consistent timing (robotic/automated). High CV (>1.0) is human/bursty (normal).

Implementation

import sys
sys.path.insert(0, '/root/skills/pcap-analysis')
from pcap_utils import detect_beaconing

has_beaconing = detect_beaconing(iat_cv)  # Returns True/False

Or manually:

def detect_beaconing(iat_cv):
    """Regular timing (CV < 0.5) suggests C2 beaconing."""
    return iat_cv < 0.5

Benign Traffic Assessment

Traffic is benign only if ALL detections are false:

import sys
sys.path.insert(0, '/root/skills/pcap-analysis')
from pcap_utils import detect_port_scan, detect_dos_pattern, detect_beaconing

has_port_scan = detect_port_scan(tcp_packets)
has_dos = detect_dos_pattern(ppm_avg, ppm_max)
has_beaconing = detect_beaconing(iat_cv)

# Benign = no threats detected
is_traffic_benign = not (has_port_scan or has_dos or has_beaconing)

Summary Table

ThreatDetection ConditionsThreshold
Port ScanEntropy AND SYN-ratio AND Ports>6.0 AND >0.7 AND >100
DoSMax/Avg ratio>20
BeaconingIAT CV<0.5
BenignNone of the aboveAll false

适合场景

01

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.48%
按下载量换算599

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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