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Report Writing

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awarexone
report-writing

Bug bounty report writing for H1/Bugcrowd/Intigriti/Immunefi — report templates, human tone guidelines, impact-first writing, CVSS 3.1 scoring, title formula, impact statement formula, severity decision guide, downgrade counters, pre-submit checklist. Use after validating a finding and before submitting. Never use "could potentially" — prove it or don't report.

Overview

Publisherawarexone
RepositoryAgentic-Bug-Hunter
Skill namereport-writing
Stars
4.9K
Forks
868
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by awarexone on GitHub. Read the source before you install it.

Installation

Install the Report Writing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/awarexone/Agentic-Bug-Hunter.git /tmp/Agentic-Bug-Hunter
mkdir -p .claude/skills
cp -r /tmp/Agentic-Bug-Hunter/skills/report-writing .claude/skills/report-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Report Writing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Report Writing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Report Writing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

REPORT WRITING

Impact-first. Human tone. No theoretical language. Triagers are people.


THE MOST IMPORTANT RULE

Never use "could potentially" or "could be used to" or "may allow". Either it does the thing or it doesn't. If you haven't proved it, don't claim it.

BAD:  "This vulnerability could potentially allow an attacker to access user data."
GOOD: "An attacker can access any user's order history by changing the user_id
       parameter to the target user's ID. I confirmed this using two test accounts:
       attacker@test.com (ID 123) successfully retrieved victim@test.com (ID 456)
       orders, including their shipping address and payment method last 4 digits."

PERSISTENCE RULE

Every report-writing session must leave a complete finding folder on disk. Save the report draft, pre-submit checklist, references, downgrade counters, and final submission note under findings/<target-or-program>-<bug-class>/. Never rely on terminal or tmux scrollback for content the hunter needs later.

Minimum files:

text
findings/<target-or-program>-<bug-class>/
├── hackerone-report.md       # or bugcrowd-report.md / intigriti-report.md / immunefi-report.md
├── submission-notes.md       # final checklist, references, caveats, next action
└── evidence/                 # screenshots, curl output, response bodies when available

If tools/validate.py already wrote submission-notes.md, append/update it instead of creating a duplicate.


TITLE FORMULA

[Bug Class] in [Exact Endpoint/Feature] allows [attacker role] to [impact] [victim scope]

Good titles (specific, impact-first):

IDOR in /api/v2/invoices/{id} allows authenticated user to read any customer's invoice data
Missing auth on POST /api/admin/users allows unauthenticated attacker to create admin accounts
Stored XSS in profile bio field executes in admin panel — allows privilege escalation
SSRF via image import URL parameter reaches AWS EC2 metadata service
Race condition in coupon redemption allows same code to be used unlimited times

Bad titles (vague, useless to triager):

IDOR vulnerability found
Broken access control
XSS in user input
Security issue in API
Unauthorized access to user data

HACKERONE REPORT TEMPLATE

markdown
## Summary

[One paragraph: what the bug is, where it is, what an attacker can do. Be specific.
Include: endpoint, method, parameter, data exposed, required access level.]

Example: "The `/api/users/{user_id}/orders` endpoint does not verify that the
authenticated user owns the requested user_id. An attacker can enumerate any
user's order history, including PII (email, address, phone) and purchase history,
by incrementing the user_id parameter. No privileges beyond a standard free
account are required."

## Vulnerability Details

**Vulnerability Type:** IDOR / Broken Object Level Authorization
**CVSS 3.1 Score:** 6.5 (Medium) — AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
**Affected Endpoint:** GET /api/users/{user_id}/orders

## Steps to Reproduce

**Environment:**
- Attacker account: attacker@test.com, user_id = 123
- Victim account: victim@test.com, user_id = 456
- Target: https://target.com

**Steps:**

1. Log in as attacker@test.com, obtain Bearer token

2. Send the following request:

GET /api/users/456/orders HTTP/1.1 Host: target.com Authorization: Bearer ATTACKER_TOKEN_HERE


3. Observe response:

```json
{
  "orders": [
    {"id": 789, "items": [...], "email": "victim@test.com", "address": "123 Main St..."}
  ]
}

The response contains victim's full order history and PII despite being requested by a different user.

Impact

An authenticated attacker can enumerate all user orders by iterating user_id values. This exposes: full name, email, shipping address, purchase history, and payment method (last 4). With ~100K users, this represents a mass PII breach affecting all registered users. Exploitation requires only a free account and takes minutes with a simple loop.

Recommended Fix

Add server-side ownership verification:

python
if order.user_id != current_user.id:
    raise Forbidden()

Supporting Materials

[Screenshot showing attacker's session returning victim's order data] [Video walkthrough if available]


---

## BUGCROWD REPORT TEMPLATE

```markdown
# [IDOR] User order history accessible without authorization via /api/users/{id}/orders

**VRT Category:** Broken Access Control > IDOR > P2

## Description

[Same impact-first paragraph as HackerOne summary]

## Steps to Reproduce

[Same structured steps — exact HTTP requests, exact responses]

## Proof of Concept

[Screenshot/video showing the actual impact]

## Expected vs Actual Behavior

**Expected:** 403 Forbidden when user_id does not match authenticated user
**Actual:** 200 OK with victim's full order data

## Severity Justification

P2 (High) — Direct read access to other users' PII. Affects all user accounts.
No user interaction required. Exploitable by any authenticated user.
Automated enumeration could exfil all [N] user records in minutes.

## Remediation

Add ownership verification: `if order.user_id != current_user.id: raise 403`

INTIGRITI REPORT TEMPLATE

markdown
# [Bug Class]: [Exact Impact] in [Endpoint/Feature]

## Description

[Impact-first paragraph. Start with what an attacker can do, not with how you found it.
Include: endpoint, method, parameter, data exposed, required privileges.]

## Steps to Reproduce

**Environment:**
- Attacker: email=attacker@test.com (standard account, no special role)
- Victim: email=victim@test.com
- Tested: [date]

**Reproduction steps:**

1. [Login as attacker / visit URL / send request]

2. Send the following HTTP request:

\```http
METHOD /endpoint HTTP/1.1
Host: target.com
Authorization: Bearer ATTACKER_TOKEN
Content-Type: application/json

{"param": "victim_id_here"}
\```

3. Observe response contains victim's private data:

\```json
{"email": "victim@test.com", "address": "123 Main St", ...}
\```

## Impact

[Specific, quantified impact. What data, how many users, what can attacker do.]

CVSS 3.1 Score: X.X ([Severity]) — AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

## Remediation

[1-3 sentence concrete fix. Include code if helpful.]

## Attachments

[Screenshot or Loom video showing the impact — Intigriti triagers prefer video for complex bugs]

Intigriti-specific notes:

  • Title format: [Bug Class]: [One-line impact] (no formula required, but keep it specific)
  • Severity is set by you: Critical/High/Medium/Low/Exceptional
  • CVSS 3.1 is standard (CVSS 4.0 also accepted on newer programs)
  • PoC video is valued much more than screenshot alone — record with Loom
  • Safe harbor: Intigriti enforces it, be comfortable going slightly aggressive with testing

IMMUNEFI REPORT TEMPLATE

markdown
# [Bug Class] — [Protocol Name] — [Severity]

## Summary

[One paragraph with: root cause, affected function, economic impact, attack cost.
Include numbers where possible: "attacker can drain $X in Y transactions."]

## Vulnerability Details

**Contract:** `VulnerableContract.sol`
**Function:** `claimRedemption()`
**Bug Class:** Accounting State Desynchronization
**Severity:** Critical

### Root Cause

[Exact code snippet showing the vulnerable code with comments]

## Proof of Concept

```solidity
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;
// Foundry PoC — run: forge test --match-test test_exploit -vvvv

contract ExploitTest is Test {
    // ... full working exploit
}

Impact

[Quantified: "Attacker can drain X% of TVL = $Y at current rates. Requires $Z gas. Attack is repeatable."]

Recommended Fix

[Specific code change with before/after]


---

## CVSS 3.1 QUICK SCORING

### Formula

CVSS = f(AV, AC, PR, UI, S, C, I, A)


### Metric Quick Picks

| Metric | Value | Weight | When |
|---|---|---|---|
| **Attack Vector (AV)** | Network | +0.85 | Via internet |
| | Local | +0.55 | Local access needed |
| **Attack Complexity (AC)** | Low | +0.77 | Repeatable |
| | High | +0.44 | Race/timing needed |
| **Privileges Required (PR)** | None | +0.85 | No login |
| | Low | +0.62 | Regular user account |
| | High | +0.27 | Admin account |
| **User Interaction (UI)** | None | +0.85 | No victim action |
| | Required | +0.62 | Victim must click |
| **Scope (S)** | Changed | higher | Affects browser/OS/other |
| | Unchanged | lower | Stays in app |
| **Confidentiality (C)** | High | +0.56 | All data exposed |
| | Low | +0.22 | Limited data |
| **Integrity (I)** | High | +0.56 | Can modify any data |
| **Availability (A)** | High | +0.56 | Crashes service |

### Typical Scores by Bug Class

| Bug | Typical CVSS | Severity |
|---|---|---|
| IDOR (read PII) | 6.5 | Medium |
| IDOR (write/delete) | 7.5 | High |
| Auth bypass → admin | 9.8 | Critical |
| Stored XSS (any user) | 5.4–8.8 | Med–High |
| SQLi (data exfil) | 8.6 | High |
| SSRF (cloud metadata) | 9.1 | Critical |
| Race condition (double spend) | 7.5 | High |
| GraphQL auth bypass | 8.7 | High |
| JWT none algorithm | 9.1 | Critical |

---

## SEVERITY DECISION GUIDE

### Critical (P1)
- Full account takeover of any user without interaction
- Remote code execution
- SQLi with ability to dump/modify entire DB
- Auth bypass to admin panel
- SSRF to cloud metadata → IAM credentials exfil

### High (P2)
- Mass PII exposure (email, phone, SSN, payment data)
- Privilege escalation from user to admin
- SSRF reaching internal services (data returned)
- Stored XSS executing for all users of sensitive feature
- Payment bypass / financial loss without limit

### Medium (P3)
- IDOR on specific user's non-critical data
- XSS on low-sensitivity page requiring victim interaction
- CSRF on important but non-critical action
- Rate limit bypass on OTP (with effort demonstrated)

### Low (P4)
- Information disclosure (non-sensitive, no PII)
- Clickjacking on sensitive action WITH working PoC
- CORS on limited data

---

## SEVERITY SELF-ASSESSMENT

Each YES raises severity:
  1. Exposes PII / health / financial data of other users? → +1 severity
  2. Allows account takeover or privilege escalation? → +2 severity
  3. Requires ZERO user interaction from victim? → +1 severity
  4. Affects ALL users (not specific condition)? → +1 severity
  5. Remotely exploitable with no internal network access? → baseline for High+

---

## DOWNGRADE COUNTERS

| Program Says | Counter With |
|---|---|
| "Requires authentication" | "Attacker needs only a free account — no special role or permission" |
| "Limited impact" | "Affects [N] users / exposes [PII type] / $[amount] at risk" |
| "Already known" | "Show me the report number — I searched hacktivity and found none" |
| "By design" | "Show me the documentation stating this is intended behavior" |
| "Low CVSS" | "CVSS doesn't capture business impact — attacker can extract [X] in [Y] minutes" |
| "Not exploitable" | "Here is the exact response showing victim's data returned to attacker session" |

---

## THE 60-SECOND PRE-SUBMIT CHECKLIST

[ ] Title follows formula: [Class] in [endpoint] allows [actor] to [impact] [ ] First sentence states exact impact in plain English [ ] Steps to Reproduce has exact HTTP request (copy-paste ready) [ ] Response showing the bug is included (screenshot or JSON body) [ ] Two test accounts used — not just one account testing itself [ ] CVSS score calculated and included [ ] Recommended fix is 1-2 sentences (not a lecture) [ ] No typos in endpoint paths or parameter names [ ] Report is < 600 words — triagers skim long reports [ ] Severity claimed matches impact described — don't overclaim [ ] Never used "could potentially" or "may allow" [ ] PoC is reproducible by triager from a fresh state


---

## CVSS 4.0 QUICK REFERENCE (newer programs)

CVSS 4.0 replaced CVSS 3.1 in November 2023. Some newer programs require it.

### Key Differences from CVSS 3.1

| Metric | CVSS 3.1 | CVSS 4.0 |
|---|---|---|
| Attack Vector | Network/Adjacent/Local/Physical | Same |
| Attack Complexity | Low/High | Low/High |
| **NEW**: Attack Requirements | (didn't exist) | None/Present (replaces some PR/UI) |
| Privileges Required | None/Low/High | Same |
| User Interaction | None/Required | None/Passive/Active |
| Scope | Unchanged/Changed | REMOVED |
| **NEW**: Sub-Impact metrics | (didn't exist) | Vulnerable/Subsequent system impact |

### CVSS 4.0 Score Examples

| Finding | CVSS 4.0 Score | Vector |
|---|---|---|
| Unauthenticated RCE | 10.0 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H |
| IDOR read PII, auth required | 6.9 | CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N |
| Stored XSS, admin views it | 8.2 | CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N |
| SSRF → cloud metadata | 8.7 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:H/SI:H/SA:N |

### Quick CVSS 4.0 Calculator

Use: https://www.first.org/cvss/calculator/4.0 Key fields: VC/VI/VA = Vulnerable System Confidentiality/Integrity/Availability SC/SI/SA = Subsequent System (downstream impact) AT = None (no special condition) | Present (race/specific config needed) UI = None | Passive (victim visits URL) | Active (victim takes explicit action)


**Practical rule**: If program uses CVSS 4.0 and you don't know the vector, use the calculator and include the full string starting with `CVSS:4.0/AV:...`. Programs cannot dispute a valid vector string.

---

## HUMAN TONE GUIDELINES

**Write to a person, not a system:**
- Triagers are tired. Get to the impact in sentence 1.
- Use "I" not "the researcher" — you found it, own it
- Short paragraphs, bullet points for steps
- Hyperlink relevant docs if needed

**Escalation language (when payout is being downgraded):**

"This vulnerability does not require any special privileges — only a free account." "The exposed data includes [PII type], which is subject to GDPR requirements." "An attacker can automate this with a simple loop — all [N] records in minutes." "This is exploitable externally without network access to any internal system." "The impact is equivalent to a full data breach of [feature/data type]."


**Avoid:**
- Jargon the triager might not know
- 5-paragraph explanations of what IDOR is (they know)
- Theoretical chains ("could be combined with X to...")
- Passive voice ("it was observed that...")
- Qualifying language ("seems to," "appears to")

---

## STEPS TO REPRODUCE FORMAT (triager-optimized)

```markdown
**Setup:**
- Account A (attacker): email=attacker@test.com, ID=111
- Account B (victim): email=victim@test.com, ID=222
- Both created via normal registration — no special access

**Steps:**

1. Log in as Account A
2. Send this request (replace `111` with victim ID `222`):

\```
GET /api/v2/resource/222 HTTP/1.1
Host: target.com
Authorization: Bearer ACCOUNT_A_TOKEN
\```

3. Response contains Account B's private data:

\```json
{"id": 222, "email": "victim@test.com", "name": "Victim User", "address": "..."}
\```

**Expected:** 403 Forbidden
**Actual:** 200 OK with victim's private data

Frequently asked questions

What does the Report Writing AI skill do?

Bug bounty report writing for H1/Bugcrowd/Intigriti/Immunefi — report templates, human tone guidelines, impact-first writing, CVSS 3.1 scoring, title formula, impact statement formula, severity decision guide, downgrade counters, pre-submit checklist. Use after validating a finding and before submitting. Never use "could potentially" — prove it or don't report.

Why use Report Writing on TypingMind?

Because you install it once and use it with any model. Report Writing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Report Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/awarexone/Agentic-Bug-Hunter/tree/main/skills/report-writing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Report Writing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Report Writing?

As many as you like. As long as a model supports skills, you can use Report Writing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Report Writing AI skill free?

Yes. It is published on GitHub by awarexone under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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