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Offensive Reporting

★ 2.4K repomlN/AAdvancedClaude
🤖 AI Summary

This AI agent automates the creation of professional penetration test reports by structuring findings from captured evidence, drafting each finding as a numbered file, generating an executive summary after scoring, and performing a two-pass review for technical accuracy and CISO-level narrative. It outputs a retest plan and a JSON/CSV index for client tracking systems.

How to Install

Claude Code:
git clone --depth 1 https://github.com/SnailSploit/Claude-Red.git && cp Claude-Red/Skills/utility/offensive-reporting ~/.claude/skills/SKILL.md -r

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"

Details

Category AI/ML → ml
SourceSnailSploit/Claude-Red
SKILL.mdView on GitHub →
Repo Stars★ 2.4K
Est. per SkillN/A (shared across 50 skills from this repo)
DifficultyAdvanced
Risk LevelN/A

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Works Well With

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