
Enterprise Vpn Attack (Grade B)针对 Claude AI 的安全测试技能,已通过安全性测试。等级 B。外部 SSL VPN / 远程接入设备攻击矩阵 — Cisco ASA/AnyConnect、Fortinet FortiGate/FortiOS、Citrix NetScaler/ADC、Palo A
概览
主要功能
- 针对 Cisco ASA/AnyConnect、Fortinet FortiGate/FortiOS、Citrix NetScaler/ADC、Palo Alto GlobalProtect、Pulse Secure / Ivanti Connect Secure 的版本指纹识别
- 2018‑2026 年 CVE 矩阵
- AAA 后端识别
- 默认凭据识别
- 配置泄露路径
- 预认证 RCE/SSRF/路径遍历利用
价格
- 模型
- Free
- 分类
- 育言活动
- 评分
- 暂无评价
使用场景
识别并利用 Cisco ASA/AnyConnect 漏洞
使用此技能识别并可能利用 Cisco ASA/AnyConnect SSL VPN 设备中的漏洞,包括版本指纹识别、CVE 矩阵检查以及预认证利用尝试。
扫描 Fortinet FortiGate/FortiOS 漏洞
利用此技能对 Fortinet FortiGate/FortiOS SSL VPN 设备进行漏洞扫描,包括版本识别和 CVE 矩阵检查。
优点 & 缺点
优点
- 为多家厂商提供了全面的攻击矩阵
- 覆盖 2018‑2026 年的版本指纹识别和 CVE 矩阵
- 包含 AAA 后端识别和默认凭据的技术
- 提供配置泄露路径和预认证利用的方法
缺点
- 仅限于 SSL VPN 设备和远程接入网关
- 不涵盖内部横向移动或 VPN 客户端侧漏洞
- 排除 IPsec / L2TP / OpenVPN 协议
评测
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问答
What's inside?
The bundle contains 82 auto‑loaded skills covering the external attack surface: Web application hunting (13 skills such as XSS, SQLi, SSRF, IDOR, LFI, SSTI, XXE, CSRF, CORS, open‑redirect), Authentication & identity (7 skills including auth‑bypass, session, OAuth, SAML, MFA‑bypass, ATO), API & infrastructure (15 skills like GraphQL, gRPC, WebSocket, API‑misconfig, host‑header, RCE), Advanced & concurrency (6 skills such as race‑condition, HTTP smuggling, deserialization, cache‑poison), Framework‑specific (4 skills for Next.js, Node.js, Laravel, Spring Boot), Enterprise identity & cloud (3 skills for M365/Entra, Okta, cloud‑IAM), Infrastructure & appliance (4 skills for VMware vCenter, enterprise VPN, SharePoint, ASP.NET/NTLM), Red‑team tradecraft (4 skills), Recon & OSINT (4 skills), Workflow, reporting & specialized (11 skills). It also ships 15 slash commands (/hunt, /recon, /report, …) and a deterministic engagement engine that maps a target’s attack surface and routes each finding to the appropriate skill.
Asked by Youssef El-Sayed · Nov 10, 2025
What is this?
claude-bughunter is a drop-in skill bundle for the Claude Code skills system. Install once and Claude Code stops being a chatbot and starts behaving like a senior bug‑hunting researcher or red‑team operator: it knows the techniques, the chain templates, the VRT mappings, the platform CVE chains, and the hygiene — and it stays in scope. Four layers stack: Think — bb‑methodology + redteam‑mindset: the 5‑phase non‑linear workflow, critical‑thinking framework, and red‑team operator discipline. Hunt webapps — 48 hunt‑skills curated from 681 disclosed HackerOne reports: per‑class detection patterns, payloads, bypass tables, and chain templates. Hit the perimeter — enterprise platform chains (M365/Entra, Okta, vCenter, SSL‑VPN appliances, SharePoint, cloud IAM): current 2024‑2026 CVE chains + post‑credential escalation. Ship it — triage‑validation + reporting + evidence‑hygiene: the 7‑Question Gate, VRT‑aware severity, OOS rebuttals, PII redaction, and red‑team deliverables. All triggered automatically by topic — describe what you’re testing in plain English and the relevant skill loads. No invocation by name.
Asked by Ivana Novak · Sep 24, 2025
How does it work?
The bundle follows a six‑phase, non‑linear workflow: recon → map & rank → hunt → validate → report, with scope enforced in code and a 7‑Question Gate before any finding is submitted. There are two ways to drive it: describe what you’re testing in plain English and the relevant skill loads are automatically applied, or use the /hunt scaffold and the cbh CLI, which provides an engagement‑folder structure, state management, and orchestration. Documentation includes a usage guide, a worked example, a 6‑phase architecture diagram, and a skill‑to‑phase mapping.
Asked by Yuki Mori · Jul 26, 2025
提问
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