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-malicious-pdf-with-peepdfgit 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-malicious-pdf-with-peepdf)<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-malicious-pdf-with-peepdf"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-malicious-pdf-with-peepdf/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-malicious-pdf-with-peepdf"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-malicious-pdf-with-peepdf.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 | $0.00050 | $0.00833 |
| Opus 5 | $0.00025 | $0.00417 |
| Sonnet 5 | $0.00010 | $0.00167 |
| Haiku 4.5 | $0.00005 | $0.00083 |
Grade A, and why
analyzing-malicious-pdf-with-peepdf 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 11d 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
使用 peepdf 分析恶意 PDF
适用场景
- 对来自钓鱼邮件的可疑 PDF 附件进行分类
- 对基于 PDF 的漏洞利用文档进行恶意软件分析
- 从 PDF 中提取嵌入的 JavaScript、shellcode 或可执行文件
- 对武器化文档工件进行取证检查
- 为基于 PDF 的威胁构建检测签名
前置条件
- Python 3.8+，安装 peepdf-3（pip install peepdf-3）
- Didier Stevens 工具套件中的 pdfid.py 和 pdf-parser.py
- 隔离分析环境（虚拟机或沙箱）
- 可选：PyV8，用于 peepdf 内的 JavaScript 模拟
- 可选：Pylibemu，用于 shellcode 分析
工作流程
- 使用 pdfid 分类：扫描 PDF 中的可疑关键词（/JS、/JavaScript、/OpenAction、/Launch、/EmbeddedFile）。
- 交互式分析：在 peepdf 交互模式下打开 PDF，探索对象结构。
- 识别可疑对象：定位包含 JavaScript、流或编码数据的对象。
- 提取内容：转储可疑流并解码过滤器（FlateDecode、ASCIIHexDecode）。
- 去混淆 JavaScript：分析提取的 JavaScript 中的 shellcode、堆喷射或漏洞利用代码。
- VirusTotal 检查：使用 peepdf vtcheck 将文件哈希与 AV 检测结果交叉验证。
- 生成 IOC：提取 URL、域名、哈希值和 shellcode 签名。
核心概念
| 概念 | 定义 |
|---|---|
| /OpenAction | PDF 打开时自动执行的操作 |
| /JavaScript /JS | PDF 对象中嵌入的 JavaScript 代码 |
| /Launch | 启动外部应用程序的操作 |
| /EmbeddedFile | 嵌入在 PDF 结构中的文件 |
| FlateDecode | 用于隐藏内容的 zlib 压缩过滤器 |
| Object Streams | 存储在压缩流中的 PDF 对象 |
工具与系统
| 工具 | 用途 |
|---|---|
| peepdf / peepdf-3 | 带 JavaScript 模拟的交互式 PDF 分析 |
| pdfid.py | 扫描可疑关键词的快速分类工具 |
| pdf-parser.py | 深层对象级 PDF 解析 |
| VirusTotal | 哈希查询和 AV 检测交叉验证 |
| CyberChef | 解码和转换提取的载荷 |
输出格式
分析报告：PDF-MAL-[日期]-[序号]
文件：[filename.pdf]
SHA-256：[哈希值]
可疑关键词：[/JS、/OpenAction 等]
包含 JavaScript 的对象：[对象 ID]
提取的 URL：[列表]
检测到 Shellcode：[是/否]
嵌入文件：[数量和类型]
VirusTotal 检测：[X/Y 引擎]
风险等级：[严重/高/中/低]
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.
- 11d ago First seen · 77 lines · 50 tokens per session scan A dd8e72629d1b
analyzing-malicious-pdf-with-peepdf is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 833 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.
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analyzing-malicious-pdf-with-peepdf
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