攻击性报告

SKILL运维和基础设施
运维和基础设施 未标注权限 许可证不明确
安装这个技能

攻击性报告专用技能,帮助AI Agent高效完成相关任务。

一句话选型结论

按资料字段整理

攻击性报告是运维和基础设施类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类运维和基础设施 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_3c6cb52e/offensive-reporting-01j7
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

运维和基础设施
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_3c6cb52e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791622572
正文体量14.0 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查服务与日志

按现象定位服务状态与日志线索。

写部署与巡检脚本

把重复的部署、巡检写成脚本。

故障排查

按步骤排查网络、依赖与配置。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在运维和基础设施场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
攻击性报告当前 未标注权限 未标注 未标注 未标注 有
Azure 部署 调用外部服务 GitHub 仓库 664.2 万 Codex、Claude、Cursor 有
Azure diagnostics 问题管理 调用外部服务 GitHub 仓库 657.6 万 Codex、Claude、Cursor 有
Azure aigateway 部署 调用外部服务 GitHub 仓库 655.3 万 Codex、Claude、Cursor 有
Azure AI 搜索 调用外部服务 GitHub 仓库 651.4 万 Codex、Claude、Cursor 有
Azure Cloud migrate 部署 调用外部服务 GitHub 仓库 650.7 万 Codex、Claude、Cursor 有

SKILL.md 全文

14.0 KB
模型实际读到的说明书原文,来自技能仓库

Penetration Test Reporting — Professional Methodology

A great finding lost in a bad report is a wasted finding. Reports are the artifact the client pays for, the auditor reads, and the developer fixes from. Treat the report with the same rigor as the exploit.

Quick Workflow

  1. Capture evidence as you exploit — never reconstruct after the fact
  2. Draft each finding immediately while context is fresh; one finding = one numbered file
  3. Build the executive summary last, after all findings are scored
  4. Two-pass review: technical accuracy first, then read-as-CISO for narrative
  5. Hand off with a retest plan and a JSON/CSV index for the client's tracking system

Report Structure (Standard)

1. Executive Summary             ← Last to write, first read
2. Engagement Overview
   2.1 Scope
   2.2 Methodology
   2.3 Limitations / Assumptions
   2.4 Timeline
   2.5 Team
3. Risk Summary                  ← Heatmap, finding count by severity
4. Technical Findings            ← One per finding, sorted by severity
5. Attack Narratives / Chains    ← Critical chains called out separately
6. Strategic Recommendations     ← Programmatic, not finding-by-finding
7. Appendices
   A. Tools Used
   B. Indicators of Compromise (for blue team)
   C. Raw Evidence Pointers
   D. Glossary

Executive Summary — The 90-Second Read

The executive summary is for the CISO, the GRC officer, and the board member. They read this and nothing else.

Structure (one page max):

  1. Engagement context — what was tested, when, by whom (1 sentence)
  2. Headline finding — the worst thing you found, in business terms (2–3 sentences)
  3. Risk verdict — overall posture in plain language (1 paragraph)
  4. Counts — number of findings by severity, in a small table
  5. Top 3 strategic recommendations — programmatic fixes, not "patch CVE-X"

Words to avoid in the executive summary:
payload, RCE, XSS, LDAP, SMB, kerberos, injection. Translate every one. ("An attacker could run arbitrary commands on the server" not "RCE via deserialization gadget chain.")

Words to include:
Business impact (customer data, regulatory exposure, operational disruption, financial loss). Anchor every finding to a business consequence.


Technical Finding Template

## Finding ID — Short Descriptive Title

**Severity:** Critical (CVSS 9.8 — vector below)
**Affected Scope:** <hosts/URLs/components, with version where relevant>
**Status:** Open / Fixed in retest / Accepted Risk
**CWE:** CWE-89 (SQL Injection)
**OWASP:** A03:2021 — Injection

### Summary
One paragraph. What is the finding, why does it matter, what's the worst case.

### Background
What technology is involved and why this class of bug exists. Two paragraphs max.
Skip if obvious (e.g. don't explain XSS to an XSS shop).

### Description
Detailed walkthrough of the issue. The root cause, not just the symptom.

### Reproduction Steps
1. Numbered, copy-paste ready.
2. Include the exact request/response, redacted.
3. A reader with no engagement context should reproduce in <15 minutes.

### Evidence
- `screenshots/finding-007/01-payload.png`
- `requests/finding-007/initial-poc.http`
- `evidence-log.csv` line 142 (timestamp 2025-04-12 14:33:07Z)

### Impact
Concrete. Quantified where possible.
- "Read access to the entire customer table (~2.3M records)"
- "Authenticate as any user; verified for sample ID 1, 2, 999, 1000000"
- "Cross-tenant access — verified by reading data from acquired-tenant ABC"

### Remediation
Specific, actionable, ordered by precedence:
1. **Fix the bug** — exact code change or config flag
2. **Defense in depth** — secondary control (WAF rule, input validation)
3. **Detection** — log line / SIEM rule that would have caught the exploit

### References
- CWE / OWASP / CAPEC
- Vendor advisory if known CVE
- Blog posts only if directly relevant

### Notes for Retest
What you'd do to verify the fix. Specific request, specific expected response.

Severity Scoring

CVSS v3.1 Discipline

CVSS is a tool, not a verdict. Score it, then sanity-check against business impact.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H = 9.8 Critical

For every metric, justify the choice in one sentence:
- AV:N — exposed to internet (port 443)
- AC:L — no special preconditions
- PR:N — no authentication needed
- UI:N — no user interaction
- S:U — does not cross security scope
- C:H I:H A:H — full read/write/availability impact on the database

If two reasonable people would score it differently, document why you chose what you chose.

When CVSS Lies

CVSS doesn't capture business context. A "Medium" CVSS XSS in the customer support chat panel that authenticated agents use to handle PII is more dangerous than an unauthenticated "High" SSRF on a metadata-less internal service. Use CVSS as the floor, not the ceiling.

In those cases, score CVSS honestly and then add a "Business Impact Adjustment" paragraph that argues for higher reporting severity. Don't lie with CVSS.

CVSS v4.0 (where required)

CVSS v4.0 adds environmental and threat metrics that better capture real-world risk. Use it when the client mandates it (PCI DSS 4.0 trends this way) — otherwise v3.1 stays the lingua franca.

OWASP Risk Rating (alternative)

For web-app-only engagements where CVSS feels stretched, OWASP's risk rating (likelihood × impact across multiple factors) often communicates better.


Evidence Discipline

What to Capture

For every finding, every action:

  1. Timestamp (UTC, ISO 8601)
  2. Source IP (yours, including any pivot)
  3. Target (host, URL, RPC interface)
  4. Action (what request was sent)
  5. Result (response, what you got)
  6. Hash of any data extracted (so you can prove what you saw)
timestamp,operator,src_ip,target,action,result_hash,notes
2025-04-12T14:33:07Z,KA,10.10.10.5,app.client.com,SQLi probe ' OR 1=1--,sha256:abc...,initial detection

This is the audit trail. Clients with mature security teams will ask for it.

Redaction Rules

Before any artifact leaves your secure environment:

  • Replace credentials with placeholders: <REDACTED-PASSWORD>, <TOKEN-A1>
  • Hash extracted PII — never include real names, emails, SSNs in screenshots
  • Crop screenshots to the relevant area; check for browser tab leaks (other tabs visible)
  • Strip EXIF from images; auto-redact via exiftool -all= *.png
  • Remove debug toolbars from screenshots that reveal client infrastructure paths
  • Verify URLs in screenshots don't include session tokens

Storage & Chain of Custody

  • Encrypted volume during the engagement (LUKS, FileVault, BitLocker)
  • Per-engagement key, not a master operator key
  • Wipe to client-spec at end of engagement (typically 30–90 days post-delivery)
  • Retain only the report and a hash manifest of evidence, deletable on request

Scope, Limitations, and Assumptions

These three sections protect both you and the client. Be explicit.

Scope

  • IPs / domains / repos / accounts in scope, with start/end of engagement window
  • Excluded: third-party SaaS used by the client (they don't own it)
  • Out of scope by request: physical, social engineering against staff, DoS

Limitations

  • "Testing was conducted from the internet only; no internal network access provided"
  • "Source code review was not in scope"
  • "Production database mutations were avoided per ROE"
  • "No coordinated downtime — testing windows were 22:00–06:00 UTC"

Assumptions

  • "We assumed the staging environment mirrors production"
  • "We assumed the WAF in front of app.client.com is the same as production"
  • "Service accounts with admin rights were assumed pre-existing"

Risk Summary & Heatmap

Show, don't tell. A visual summary every executive can read in 5 seconds:

Severity   Count   Top Example
Critical     3     RCE via deserialization (Finding #2)
High         7     ADCS ESC1 → Domain Admin (Finding #11)
Medium      14     Stored XSS in customer support panel (Finding #4)
Low         22     TLS 1.0 still enabled on api.client.com (Finding #29)
Info        11     —

A simple bar chart or stoplight grid converts this to a one-glance summary. Put it on page 2 (after exec summary).


Attack Chains / Narratives

Critical findings rarely matter in isolation. The chain is the story:

1. Phishing email → user runs HTA payload (Finding #1, Medium)
2. Local UAC bypass via Token Manipulation (Finding #5, Low)
3. Kerberoast service account (Finding #11, High)
4. Crack TGS offline → service account password (Finding #11)
5. ACL abuse: service account has WriteDacl on Domain Users (Finding #14, High)
6. Grant DCSync, dump krbtgt → Golden Ticket → Domain Admin (Finding #15, Critical)

Total time: 4 hours. Detection points missed: 3 (see Appendix B).

Highlight chains separately because the combination often warrants higher severity than any individual finding.


Strategic Recommendations

Below the per-finding remediations, write 3–5 programmatic recommendations:

  • "Adopt SAST in CI for Java services" (addresses 12 findings)
  • "Roll out tier-0 admin model for AD" (addresses entire AD attack chain)
  • "Centralize secrets in HashiCorp Vault; rotate hardcoded creds" (addresses 9 findings)

This is what the CISO presents to the board. Make it memorable.


Deliverable Formats

Format Use
PDF Executive read, formal record, contractual deliverable
DOCX If the client wants to redact or extend
HTML Internal portal upload, searchable via grep
JSON SIEM / GRC tool ingestion (DefectDojo, Faraday, ServiceNow)
CSV Quick import into Jira / Asana for tracking
Markdown source The single source of truth that generates all the above

Build all formats from one Markdown source via Pandoc / a static site generator. Never maintain parallel formats by hand.

# Markdown → polished PDF via Pandoc + LaTeX template
pandoc report.md -o report.pdf \
  --template=client-template.tex \
  --pdf-engine=xelatex \
  --metadata=title:"Penetration Test Report — Client Co." \
  --toc --number-sections

Common Report Mistakes

Mistake Fix
CVSS 9.0 on every finding ("over-CVSSing") Score honestly; clients lose trust if everything is critical
Marketing language ("revolutionary attack") Plain professional tone
Tool output dumped as evidence Curate; show the relevant 5 lines
Generic remediation ("validate input") Specific code/config changes
Missing reproduction steps If they can't reproduce, they can't fix
Untimed evidence Every action gets a UTC timestamp
Confusing identical findings Group by class, list affected items in a table
Forgotten retest plan Each finding includes how you'll verify the fix
Failure to separate scope from limitations Scope = what we tested; Limitations = what blocked us
Treating informational findings as filler Either drop them or write them well

Reporting for Bug Bounty (Different Audience)

Bug bounty triagers are time-pressured and skeptical. Adjust:

  • Title: include the bug class + endpoint + impact in 80 chars
  • Reproduction: a single curl command if possible, plus the expected vs actual response
  • Impact: anchor to the program's threat model (read PII? auth bypass? cross-account?)
  • Avoid: walls of text, screenshots without a request log, claims without reproduction

A good bounty report is read in 2 minutes and reproduced in 5. A bad one bounces with "more info."


Retest & Closeout

### Retest Summary

| Finding | Original Severity | Retest Status | Verification Date |
|---------|-------------------|---------------|-------------------|
| #1 | Critical | ✓ Fixed (verified) | 2025-05-10 |
| #2 | High | ✓ Fixed | 2025-05-10 |
| #5 | Medium | ⚠ Partially fixed — see notes | 2025-05-10 |
| #11 | High | ✗ Not fixed — finding stands | 2025-05-10 |
| #14 | Low | • Accepted Risk (client decision) | 2025-05-10 |

For each finding, include the exact verification request/response showing the fix. Without proof, "fixed" is hearsay.


Sample CVSS Vectors (Reference)

Class Typical Vector Score
Unauth RCE AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H 9.8
Authed RCE AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H 8.8
Stored XSS AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N 5.4
IDOR (PII read) AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N 6.5
SSRF (cloud meta) AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:N 9.0
Open Redirect AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N 4.3

Use these as starting points; adjust per environment.


Tooling

Tool Use
Pandoc + LaTeX Markdown → polished PDF
Sphinx / mkdocs Markdown → HTML portal
DefectDojo Finding tracking, JSON export
Faraday Multi-engagement aggregation
Dradis Collaborative report drafting
serpico (legacy but still used) Pentest report templates
Plextrac Commercial reporting platform

Key References

  • NIST SP 800-115 (technical security testing reporting)
  • PTES — Penetration Testing Execution Standard, reporting section
  • OWASP Testing Guide — reporting chapter
  • FIRST CVSS v3.1 / v4.0 specifications
  • CREST Cyber Security Incident Response and Penetration Testing reporting standards
  • Source: https://github.com/SnailSploit/offensive-checklist/blob/main/reporting.md

常见问题

5 问
答案由本站依据条目字段整理
攻击性报告怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_3c6cb52e/offensive-reporting-01j7。安装方式为未标注。装完刷新技能列表或重开客户端。

攻击性报告支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

攻击性报告权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

攻击性报告收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

攻击性报告用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。