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analyzing-cobalt-strike-malleable-profiles

使用 pyMalleableC2 解析 Cobalt Strike 可延展 C2 配置文件,提取 Beacon 配置、HTTP 通信模式以及休眠/抖动设置。结合 JARM TLS 指纹识别在网络上检测 C2 服务器。适用于调查疑似 Cobalt Strike 基础设施或为 C2 流量构建检测签名。

Skill by killvxk

IndexedApache-2.0★ 57
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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使用 pyMalleableC2 解析 Cobalt Strike 可延展 C2 配置文件,提取 Beacon 配置、HTTP 通信模式以及休眠/抖动设置。结合 JARM TLS 指纹识别在网络上检测 C2 服务器。适用于调查疑似 Cobalt Strike 基础设施或为 C2 流量构建检测签名。

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/analyzing-cobalt-strike-malleable-profiles

What's inside

Skill name
analyzing-cobalt-strike-malleable-profiles
Description
使用 pyMalleableC2 解析 Cobalt Strike 可延展 C2 配置文件,提取 Beacon 配置、HTTP 通信模式以及休眠/抖动设置。结合 JARM TLS 指纹识别在网络上检测 C2 服务器。适用于调查疑似 Cobalt Strike 基础设施或为 C2 流量构建检测签名。
License
Apache-2.0
Instructions
46 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • LICENSE
  • SKILL.md
  • api-reference.md · references/
  • agent.py · scripts/

SKILL.md (first lines)

# 分析 Cobalt Strike 可延展配置文件

## 使用说明

使用 pyMalleableC2 库解析可延展 C2 配置文件,提取失陷指标(IOC)和检测机会。结合 JARM 指纹识别来识别 C2 服务器。

```python
from malleablec2 import Profile

# 从文件解析可延展配置文件
profile = Profile.from_file("amazon.profile")

# 提取全局选项(休眠时间、抖动、User-Agent)
print(profile.ast.pretty())

# 获取 HTTP-GET 块的 URI 和 Headers,用于构建网络签名
# 获取 HTTP-POST 块中的数据外泄模式
# 对已知 C2 基础设施生成 JARM 指纹
```

关键分析步骤:
1. 解析可延展配置文件,提取 HTTP-GET/POST URI 模式
2. 提取 User-Agent 字符串和自定义 Headers,用于 IDS 签名
3. 识别休眠时间和抖动,用于设置 Beacon 检测阈值
4. 使用 JARM 扫描可疑 IP,与已知 C2 指纹哈希进行匹配
5. 将提取的 IOC 与网络流量日志进行交叉参考

## 示例

```python
# 解析配置文件并提取检测指标
from malleablec2 import Profile
p = Profile.from_file("cobaltstrike.profile")
print(p)  # 重建的源码

# 对可疑 C2 服务器进行 JARM 扫描
import subprocess
result = subprocess.run(
    ["python3", "jarm.py", "suspect-server.com"],
    capture_output=True, text=True
)
print(result.stdout)
# 将指纹与已知 CS JARM 哈希进行比对
```

From killvxk/cybersecurity-skills-zh, Apache-2.0.

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Forks
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Last commit (this folder)
Mar 17, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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analyzing-cobalt-strike-malleable-profiles skill. Agent Mart. https://agentmart.dev/skills/killvxk-analyzing-cobalt-strike-malleable-profiles (last updated 2026-10-24)