vulnerability-assessment
漏洞评估高级专业技能:CVSS 3.1/4.0评分体系深度与滥用案例、EPSS/KEV/VPT漏洞优先级技术融合、攻击面管理与扫描器深度配置(Nessus/OpenVAS/Nuclei自动化与误报治理)、漏洞验证与真实可利用性分析、供应链SBOM与云容器漏洞评估专项、AI大模型辅助漏洞研判与报告生成、从发现到闭环的漏…
Skill by langbyyi
Install
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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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/vulnerability-assessment
What's inside
- Skill name
vulnerability-assessment- Description
- 漏洞评估高级专业技能:CVSS 3.1/4.0评分体系深度与滥用案例、EPSS/KEV/VPT漏洞优先级技术融合、攻击面管理与扫描器深度配置(Nessus/OpenVAS/Nuclei自动化与误报治理)、漏洞验证与真实可利用性分析、供应链SBOM与云容器漏洞评估专项、AI大模型辅助漏洞研判与报告生成、从发现到闭环的漏洞全生命周期管理
- License
- Apache-2.0
- Metadata
- version: 3.0.0
- Instructions
- 992 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Agent Skills spec issues
- body: 992 lines (spec recommends under 500)
Files (1)
- SKILL.md
SKILL.md (first lines)
# 漏洞评估深度技能 > **AI LOAD INSTRUCTION**: 漏洞评估与优先级专家方法论。聚焦 CVSS 3.1/4.0 向量推演→EPSS+KEV+VPT 融合排序→验证可行性→供应链/云容器专项→报告编制。评级结论必须可回溯原始证据,报告对齐 pentest-output-standards。 ## 概述 漏洞评估是攻防对抗中"知己"的核心能力,也是渗透测试与安全运营的衔接枢纽。本技能系统化覆盖**漏洞发现→评级→验证→修复→回归→闭环**完整生命周期,在 v2.0 基础上深度升级:不仅掌握 CVSS 评分,更理解 CVSS 4.0 新度量体系及其滥用陷阱;不仅使用扫描器,更懂得自动化配置与误报治理;不仅报漏洞,更能从 CVSS 分数推演**真实可利用性**;同时打通 EPSS/KEV/VPT 优先级技术、供应链 SBOM 评估、云容器专项与 **AI 大模型辅助研判**等 2025-2026 年实战前沿维度。 ### 核心概念 - **漏洞(Vulnerability)**:资产中可被威胁利用的缺陷,与暴露面(Exposure)共同构成风险 - **CVSS**:通用漏洞评分系统(FIRST 维护),衡量漏洞技术严重性(Severity),**不是风险**(Risk) - **CVSS-B/BT/BE/BTE**:CVSS 4.0 命名法,明确分数包含哪些指标组(Base/Threat/Environmental) - **EPSS**:漏洞利用预测评分(0-1 概率),预测未来 30 天被真实利用的可能性 - **KEV**:CISA 已知被利用漏洞目录,记录**已在野利用**的 CVE,VPT 的最高优先级信号 - **VPT(Vulnerability Prioritization Technology)**:融合多信号的漏洞优先级技术,解决"先修哪个" - **SBOM**:软件物料清单,供应链漏洞评估的基础 - **可利用性(Exploitability)≠ 严重性(Severity)**:CVSS 衡量理论上多严重,EPSS/KEV 衡量现实中多可能被利用 - **误报治理**:扫描器输出是"候选(Lead)",人工验证后才成为"确认发现(Finding)" ### 漏洞全生命周期总览 ``` 发现 → 录入 → 评级(优先级) → 分配 → 修复 → 验证(回归+绕过测试) → 关闭 ↑ | └─────────────── 复发/新变体再发现 ←──────────────────────────┘ ``` ## 一、漏洞发现渠道与攻击面管理 ### 1.1 主动发现 ``` 1. 自动化扫描 → SAST(代码静态分析:CodeQL/Semgrep/Bandit) → DAST(Web动态测试:Burp/AWVS/Nuclei) → SCA(依赖与供应链:Trivy/Grype/Snyk) → IAc(基础设施即代码:Checkov/TFsec/kube-bench) → 端口扫描/服务枚举(Nmap + NSE) 2. 手工渗透测试 → 黑盒/灰盒/白盒测试 → 业务逻辑漏洞(扫描器盲区,必须人工) → 认证授权测试(越权/水平垂直提权) 3. 代码审计 → Source-Sink 分析、数据流追踪 → 第三方库与遗留代码审计 4. 威胁建模 → STRIDE/DREAD 建模 → 攻击面分析、信任边界识别 ``` ### 1.2 被动发现 ``` 1. 外部报告 → 漏洞赏金平台(HackerOne/BugCrowd) → 安全研究员报告、CERT 通报 2. 监控告警 → WAF/IDS/HIDS、SIEM 异常检测、蜜罐告警 3. 威胁情报 → CVE/NVD/CNVD 公告、厂商安全通告、0day 情报、暗网/Telegram 黑产情报 ``` ### 1.3 攻击面管理与漏洞评估的边界 资深攻防专家视角:**漏洞评估 ≠ 攻击面管理(ASM)**,两者互补但必须分清边界: | 维度 | 攻击面管理(ASM) | 漏洞评估(VA) | |------|------------------|----------------| | 回答的问题 | "敌人能看到/碰到什么?" | "这些资产上有什么缺陷?" | | 核心对象 | 资产、影子IT、暴露面(IP/域名/端口/API/云资产) | 已知漏洞、错误配置、弱口令 | | 输出 | 资产清单+暴露风险 | 漏洞清单+严重性+优先级 | | 主要手段 | 资产测绘(Shodan/FOFA/子域名枚举/CSPM) | 漏洞扫描+验证 | | 依赖关系 | ASM 决定"扫哪里",是 VA 的前置输入 | VA 决定"修什么" | **实战要点:** - 评估前必须先做资产盘点:`nmap -sV -p- --open <范围>` 全端口 + 服务识别,避免漏扫 - 影子 IT(未登记的测试环境/云桶/子域名)是漏洞评估最大盲区,结合证书透明度日志(crt.sh)、DNS 爆破发现 - 评估边界必须在授权书/合同明确(IP 段、域名、云账号、时间段、是否允许破坏性验证) ## 二、CVSS v3.1 评分体系深度 ### 2.1 基础指标(Base Metrics) | 指标 | 取值 | 说明 | |------|------|------| | Attack Vector (AV) | N/A/L/P | 网络/相邻/本地/物理 | | Attack Complexity (AC) | L/H | 低/高 | | Privileges Required (PR) | N/L/H | 无/低/高(注意 Scope 变化时 PR 取值的反转) | | User Interaction (UI) | N/R | 无需/需要 | | Scope (S) | U/C | 不变/改变(影响 PR 与影响评分的计算方式) | | Confidentiality (C) | N/L/H | 无/低/高 | | Integrity (I) | N/L/H | 无/低/高 | | Availability (A) | N/L/H | 无/低/高 | **评分计算(v3.1):** ``` Impact Subscore = 1 - (1-C)*(1-I)*(1-A) (Scope 不变时) Exploitability = 8.22 × AV × AC × PR × UI Base Score = min(Impact + Exploitability, 10) (配合 Scope 调整公式) 评级标准(Severity 与风险分开看): - Critical: 9.0-10.0 High: 7.0-8.9 - Medium: 4.0-6.9 Low: 0.1-3.9 None: 0.0 ``` ### 2.2 评分实务(资深视角的 4 个易错点) 1. **PR 与 Scope 联动反转**:S:C 时 PR=H 反而对分数的"惩罚"更小(因为影响扩散到授权边界之外),这是 3.x 最易被评错的地方 2. **AC:H 判定过松**:AC:H 要求"可利用前必须满足特定条件且攻击者无法控制"(如竞态/堆布局),仅"需要特殊配置"不构成 AC:H 3. **时间型指标(Temporal)被普遍弃用**:v3.1 的 E/RL/RC 在实际运营中很少被消费方更新,多数扫描器只输出 Base——这正是 EPSS 兴起的原因 4. **Base 分数不可比**:NVD 与厂商(CNA)对同一 CVE 常给出不同 Base 分数(如 Tomcat CVE-2025-24813 的 9.8 vs 7.5),引用时必须注明来源 ### 2.3 风险优先级评估(v2.0 核心保留) ``` 优先级 = CVSS评分 × 资产权重 × 可利用性 × 暴露面 资产权重: 核心业务 1.0 / 重要支撑 0.8 / 一般业务 0.5 / 开发测试 0.2 可利用性: 已有公开Exploit 1.0 / PoC可构造 0.7 / 需要高级技能 0.3 / 理论可能 0.1
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- Stars
- 131
- Forks
- 11
- Open issues
- 0
- Last commit (this folder)
- Sep 9, 2026 (1 month ago)
- Last release
- Oct 16, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 3.0.0
- License
- Apache-2.0
- Repository
- github.com/langbyyi/CyberStrikeAI-SRC
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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browser-assisted-hunting
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浏览器交互式挖洞:登录态操作、双账号越权对比、SPA渲染取证、DOM XSS确认、验证码登录、前端隐藏功能绕过。 Use when CLI/HTTP evidence is insufficient and the target needs real browser interaction to confirm.
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api-sec
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authbypass-authentication-flaws
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Authentication bypass testing playbook.
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Cite this page
vulnerability-assessment skill. Agent Mart. https://agentmart.dev/skills/langbyyi-vulnerability-assessment (last updated 2026-10-24)