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Agent Skill · 研究检索

analyzing-cobalt-strike-beacon-configuration(分析钴打击信标配置)

analyzing-cobalt-strike-beacon-configuration 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

analyzing-cobalt-strike-beacon-configuration 是研究检索类 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 42,153。

总安装 1,102周安装 45GitHub Stars 5,922下载 353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。
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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:analyzing-cobalt-strike-beacon-configuration(分析钴打击信标配置)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/analyzing-cobalt-strike-beacon-configuration
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-cobalt-strike-beacon-configuration
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 analyzing-cobalt-strike-beacon-configuration

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

从 Cobalt Strike Beacon 载荷中提取 C2 配置与加密密钥。适用于红队工具逆向、攻击基础设施测绘与检测规则开发。支持 XOR 解码、服务器地址提取与通信协议还原。仅限授权渗透测试或应急响应场景,禁止非法用途。

analyzing-cobalt-strike-beacon-configuration 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/analyzing-cobalt-strike-beacon-configuration

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

analyzing-cobalt-strike-beacon-configuration 怎么安装?

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

analyzing-cobalt-strike-beacon-configuration 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。

analyzing-cobalt-strike-beacon-configuration 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 analyzing-cobalt-strike-beacon-configuration 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。

analyzing-cobalt-strike-beacon-configuration 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。

analyzing-cobalt-strike-beacon-configuration 用的人多吗?

公开数据是累计安装 1,102 次,近一周安装 45 次,下载 353 次,GitHub 5,922 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。

analyzing-cobalt-strike-beacon-configuration 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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 5,922 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
analyzing-cobalt-strike-beacon-configuration

分析钴打击信标配置 · 本页

1,1025,922执行命令未明确未通过

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

Analyzing Cobalt Strike Beacon Configuration

Overview

Cobalt Strike is a commercial adversary simulation tool widely abused by threat actors for post-exploitation operations. Beacon payloads contain embedded configuration data that reveals C2 server addresses, communication protocols, sleep intervals, jitter values, malleable C2 profile settings, watermark identifiers, and encryption keys. Extracting this configuration from PE files, shellcode, or memory dumps is critical for incident responders to map attacker infrastructure and attribute campaigns. The beacon configuration is XOR-encoded using a single byte (0x69 for version 3, 0x2e for version 4) and stored in a Type-Length-Value (TLV) format within the.data section.

When to Use

  • When investigating security incidents that require analyzing cobalt strike beacon configuration
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Python 3.9+ with dissect.cobaltstrike, pefile, yara-python
  • SentinelOne CobaltStrikeParser (parse_beacon_config.py)
  • Hex editor (010 Editor, HxD) for manual inspection
  • Understanding of PE file format and XOR encoding
  • Memory dump acquisition tools (Volatility3, WinDbg)
  • Network analysis tools (Wireshark) for C2 traffic correlation

Key Concepts

Beacon Configuration Structure

Cobalt Strike beacons store their configuration as a blob of TLV (Type-Length-Value) entries within the.data section of the PE. Stageless beacons XOR the entire beacon code with a 4-byte key. The configuration blob itself uses a single-byte XOR key. Each TLV entry contains a 2-byte type identifier (e.g., 0x0001 for BeaconType, 0x0008 for C2Server), a 2-byte length, and variable-length data.

Malleable C2 Profiles

The beacon configuration encodes the malleable C2 profile that dictates HTTP request/response transformations, including URI paths, headers, metadata encoding (Base64, NetBIOS), and data transforms. Analyzing these settings reveals how the beacon disguises its traffic to blend with legitimate web traffic.

Watermark and License Identification

Each Cobalt Strike license embeds a unique watermark (4-byte integer) into generated beacons. Extracting the watermark can link multiple beacons to the same operator or cracked license. Known watermark databases maintained by threat intelligence providers map watermarks to specific threat actors or leaked license keys.

Workflow

Step 1: Extract Configuration with CobaltStrikeParser

#!/usr/bin/env python3
"""Extract Cobalt Strike beacon config from PE or memory dump."""
import sys
import json

# Using SentinelOne's CobaltStrikeParser
# pip install dissect.cobaltstrike
from dissect.cobaltstrike.beacon import BeaconConfig

def extract_beacon_config(filepath):
    """Parse beacon configuration from file."""
    configs = list(BeaconConfig.from_path(filepath))

    if not configs:
        print(f"[-] No beacon configuration found in {filepath}")
        return None

    for i, config in enumerate(configs):
        print(f"\n[+] Beacon Configuration #{i+1}")
        print(f"{'='*60}")

        settings = config.as_dict()

        # Critical fields for incident response
        critical_fields = [
            "SETTING_C2_REQUEST",
            "SETTING_C2_RECOVER",
            "SETTING_PUBKEY",
            "SETTING_DOMAINS",
            "SETTING_BEACONTYPE",
            "SETTING_PORT",
            "SETTING_SLEEPTIME",
            "SETTING_JITTER",
            "SETTING_MAXGET",
            "SETTING_SPAWNTO_X86",
            "SETTING_SPAWNTO_X64",
            "SETTING_PIPENAME",
            "SETTING_WATERMARK",
            "SETTING_C2_VERB_GET",
            "SETTING_C2_VERB_POST",
            "SETTING_USERAGENT",
            "SETTING_PROTOCOL",
        ]

        for field in critical_fields:
            value = settings.get(field, "N/A")
            print(f"  {field}: {value}")

        return settings

    return None

def extract_c2_indicators(config):
    """Extract actionable C2 indicators from beacon config."""
    indicators = {
        "c2_domains": [],
        "c2_ips": [],
        "c2_urls": [],
        "user_agent": "",
        "named_pipes": [],
        "spawn_processes": [],
        "watermark": "",
    }

    if not config:
        return indicators

    # Extract C2 domains
    domains = config.get("SETTING_DOMAINS", "")
    if domains:
        for domain in str(domains).split(","):
            domain = domain.strip().rstrip("/")
            if domain:
                indicators["c2_domains"].append(domain)

    # Extract user agent
    indicators["user_agent"] = str(config.get("SETTING_USERAGENT", ""))

    # Extract named pipes
    pipe = config.get("SETTING_PIPENAME", "")
    if pipe:
        indicators["named_pipes"].append(str(pipe))

    # Extract spawn-to processes
    for arch in ["SETTING_SPAWNTO_X86", "SETTING_SPAWNTO_X64"]:
        proc = config.get(arch, "")
        if proc:
            indicators["spawn_processes"].append(str(proc))

    # Extract watermark
    indicators["watermark"] = str(config.get("SETTING_WATERMARK", ""))

    return indicators

if __name__ == "__main__":
    if len(sys.argv) < 2:
        print(f"Usage: {sys.argv[0]} <beacon_file_or_dump>")
        sys.exit(1)

    config = extract_beacon_config(sys.argv[1])
    if config:
        indicators = extract_c2_indicators(config)
        print(f"\n[+] Extracted C2 Indicators:")
        print(json.dumps(indicators, indent=2))

Step 2: Manual XOR Decryption of Beacon Config

import struct

def find_and_decrypt_config(data):
    """Manually locate and decrypt beacon configuration."""
    # Cobalt Strike 4.x uses 0x2e as XOR key
    xor_keys = [0x2e, 0x69]  # v4, v3

    for xor_key in xor_keys:
        # Search for the config magic bytes after XOR
        # Config starts with 0x0001 (BeaconType) XOR'd with key
        magic = bytes([0x00 ^ xor_key, 0x01 ^ xor_key,
                       0x00 ^ xor_key, 0x02 ^ xor_key])

        offset = data.find(magic)
        if offset == -1:
            continue

        print(f"[+] Found config at offset 0x{offset:x} (XOR key: 0x{xor_key:02x})")

        # Decrypt the config blob (typically 4096 bytes)
        config_size = 4096
        encrypted = data[offset:offset + config_size]
        decrypted = bytes([b ^ xor_key for b in encrypted])

        # Parse TLV entries
        entries = parse_tlv(decrypted)
        return entries

    return None

def parse_tlv(data):
    """Parse Type-Length-Value configuration entries."""
    entries = {}
    offset = 0

    # TLV field type mapping
    field_names = {
        0x0001: "BeaconType",
        0x0002: "Port",
        0x0003: "SleepTime",
        0x0004: "MaxGetSize",
        0x0005: "Jitter",
        0x0006: "MaxDNS",
        0x0007: "Deprecated_PublicKey",
        0x0008: "C2Server",
        0x0009: "UserAgent",
        0x000a: "PostURI",
        0x000b: "Malleable_C2_Instructions",
        0x000c: "Deprecated_HttpGet_Metadata",
        0x000d: "SpawnTo_x86",
        0x000e: "SpawnTo_x64",
        0x000f: "CryptoScheme",
        0x001a: "Watermark",
        0x001d: "C2_HostHeader",
        0x0024: "PipeName",
        0x0025: "Year",
        0x0026: "Month",
        0x0027: "Day",
        0x0036: "ProxyHostname",
    }

    while offset + 6 <= len(data):
        entry_type = struct.unpack(">H", data[offset:offset+2])[0]
        entry_len_type = struct.unpack(">H", data[offset+2:offset+4])[0]
        entry_len = struct.unpack(">H", data[offset+4:offset+6])[0]

        if entry_type == 0:
            break

        value_start = offset + 6
        value_end = value_start + entry_len
        value_data = data[value_start:value_end]

        field_name = field_names.get(entry_type, f"Unknown_0x{entry_type:04x}")

        if entry_len_type == 1:  # Short
            value = struct.unpack(">H", value_data[:2])[0]
        elif entry_len_type == 2:  # Int
            value = struct.unpack(">I", value_data[:4])[0]
        elif entry_len_type == 3:  # String/Blob
            value = value_data.rstrip(b'\x00').decode('utf-8', errors='replace')
        else:
            value = value_data.hex()

        entries[field_name] = value
        print(f"  {field_name}: {value}")

        offset = value_end

    return entries

Step 3: YARA Rule for Beacon Detection

import yara

cobalt_strike_rule = """
rule CobaltStrike_Beacon_Config {
    meta:
        description = "Detects Cobalt Strike beacon configuration"
        author = "Malware Analysis Team"
        date = "2025-01-01"

    strings:
        // XOR'd config marker for CS 4.x (key 0x2e)
        $config_v4 = { 2e 2f 2e 2c }

        // XOR'd config marker for CS 3.x (key 0x69)
        $config_v3 = { 69 68 69 6b }

        // Common beacon strings
        $str_pipe = "\\\\.\\pipe\\" ascii wide
        $str_beacon = "beacon" ascii nocase
        $str_sleeptime = "sleeptime" ascii nocase

        // Reflective loader pattern
        $reflective = { 4D 5A 41 52 55 48 89 E5 }

    condition:
        ($config_v4 or $config_v3) or
        (2 of ($str_*) and $reflective)
}
"""

def scan_for_beacons(filepath):
    """Scan file with YARA rules for Cobalt Strike beacons."""
    rules = yara.compile(source=cobalt_strike_rule)
    matches = rules.match(filepath)

    for match in matches:
        print(f"[+] YARA Match: {match.rule}")
        for string_match in match.strings:
            offset = string_match.instances[0].offset
            print(f"    String: {string_match.identifier} at offset 0x{offset:x}")

    return matches

Step 4: Network Traffic Correlation

from dissect.cobaltstrike.c2 import HttpC2Config

def analyze_c2_profile(beacon_config):
    """Analyze malleable C2 profile from beacon configuration."""
    print("\n[+] Malleable C2 Profile Analysis")
    print("=" * 60)

    # HTTP GET configuration
    get_verb = beacon_config.get("SETTING_C2_VERB_GET", "GET")
    get_uri = beacon_config.get("SETTING_C2_REQUEST", "")
    print(f"\n  HTTP GET Request:")
    print(f"    Verb: {get_verb}")
    print(f"    URI: {get_uri}")

    # HTTP POST configuration
    post_verb = beacon_config.get("SETTING_C2_VERB_POST", "POST")
    post_uri = beacon_config.get("SETTING_C2_POSTREQ", "")
    print(f"\n  HTTP POST Request:")
    print(f"    Verb: {post_verb}")
    print(f"    URI: {post_uri}")

    # User Agent
    ua = beacon_config.get("SETTING_USERAGENT", "")
    print(f"\n  User-Agent: {ua}")

    # Host header
    host = beacon_config.get("SETTING_C2_HOSTHEADER", "")
    print(f"  Host Header: {host}")

    # Sleep and jitter for traffic pattern
    sleep_ms = beacon_config.get("SETTING_SLEEPTIME", 60000)
    jitter = beacon_config.get("SETTING_JITTER", 0)
    print(f"\n  Sleep Time: {sleep_ms}ms")
    print(f"  Jitter: {jitter}%")

    # Generate Suricata/Snort signatures
    print(f"\n[+] Suggested Network Signatures:")
    if ua:
        print(f'  alert http any any -> any any (msg:"CS Beacon UA"; '
              f'content:"{ua}"; http_user_agent; sid:1000001; rev:1;)')
    if get_uri:
        print(f'  alert http any any -> any any (msg:"CS Beacon URI"; '
              f'content:"{get_uri}"; http_uri; sid:1000002; rev:1;)')

Validation Criteria

  • Beacon configuration successfully extracted from PE file or memory dump
  • C2 server domains/IPs correctly identified with port and protocol
  • Malleable C2 profile parameters decoded showing HTTP transforms
  • Watermark value extracted for attribution correlation
  • Sleep time and jitter values match observed network beacon intervals
  • YARA rules detect beacon in both packed and unpacked samples
  • Network signatures generated from extracted C2 profile

References

平台分布

Codex

37.26%
按下载量换算132

Claude

27.39%
按下载量换算97

Cursor

19.23%
按下载量换算68

Gemini CLI

10.15%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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 analyzing-cobalt-strike-beacon-configuration 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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