Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add killvxk/cybersecurity-skills-zh --skill analyzing-cobaltstrike-malleable-c2-profilesgit clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zhWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cobaltstrike-malleable-c2-profiles)<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cobaltstrike-malleable-c2-profiles"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cobaltstrike-malleable-c2-profiles/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cobaltstrike-malleable-c2-profiles"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cobaltstrike-malleable-c2-profiles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.00673 |
| Opus 5 | $0.00030 | $0.00336 |
| Sonnet 5 | $0.00012 | $0.00135 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
analyzing-cobaltstrike-malleable-c2-profiles scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
分析 CobaltStrike Malleable C2 配置文件
概述
Cobalt Strike Malleable C2 配置文件是领域专用语言脚本，用于定制 Beacon 与团队服务器的通信方式，包括 HTTP 请求/响应转换、休眠间隔、抖动值、User Agent、URI 路径和进程注入行为。威胁行为者使用 Malleable C2 配置文件将 C2 流量伪装成合法服务（Amazon、Google、Slack）。分析这些配置文件可揭示用于检测的网络指标：URI 模式、HTTP 请求头、POST/GET 转换、DNS 设置和进程注入技术。dissect.cobaltstrike 库可解析配置文件并从 beacon 载荷中提取配置，而 pyMalleableC2 使用 Lark 语法提供基于 AST 的解析，用于程序化配置文件操作和验证。
前置条件
- Python 3.9+，安装
dissect.cobaltstrike和/或pyMalleableC2 - 示例 Malleable C2 配置文件（可从公开仓库获取）
- 了解 HTTP 协议和 Cobalt Strike beacon 通信模型
- 网络监控工具（Suricata/Snort）用于部署签名
- PCAP 分析工具用于流量验证
工作流程
- 安装库：
pip install dissect.cobaltstrike或pip install pyMalleableC2 - 使用
C2Profile.from_path("profile.profile")解析配置文件 - 提取 HTTP GET/POST 块配置（URI、请求头、参数）
- 识别 User Agent 字符串和伪装目标
- 提取休眠时间、抖动百分比和 DNS beacon 设置
- 分析进程注入设置（注入目标进程、分配技术）
- 从提取的网络指标生成 Suricata/Snort 签名
- 将配置文件与已知威胁行为者配置文件集合对比
- 提取分段 URI 和载荷投递机制
- 生成包含 IOC 和推荐网络签名的检测报告
输出格式
JSON 报告，包含提取的 C2 URI、HTTP 请求头、User Agent、休眠/抖动设置、进程注入配置、注入目标进程路径、DNS 设置和生成的 Suricata 兼容检测规则。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 41 lines · 59 tokens per session scan A 20a4ebbd6a0d
analyzing-cobaltstrike-malleable-c2-profiles is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 673 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured…
analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.
analyzing-cobaltstrike-malleable-c2-profiles
Use when parsing and analyzing Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.
analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.
analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.
analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.