Writeup Cash

Writeup Cash

Overview

Cybersecurity skill for writeup cash. Follows industry best practices and security standards. Turn your bug bounty findings, vulnerability research, and security tooling into multiple income streams: paid writeups on platforms like PentesterLand and Infosec Writeups, commercial security tools sold on GitHub Marketplace or Gumroad, and consulting upsells to organizations that read your published research.

Money-Making Overview

Buyer personas: Bug bounty hunters with validated findings but no monetization pipeline; penetration testers who want to build a public brand; security researchers sitting on unpublished tooling.

Three revenue tiers:

Stacking path: Publish 1 writeup/week on paid platforms → bundle 3-5 related PoCs into a $497 tool → use published work as portfolio to land $5K retainer clients.

When to Use

Trigger phrases:

• "writeup cash"

• "Have accepted bug bounty reports to share"

• "Want to build passive income from security research"

• "Building a personal brand in security"

• Have accepted bug bounty reports to share

• Want to build passive income from security research

• Building a personal brand in security

• Creating content for paid platforms

• Developing and selling security tools

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope
• When the finding is already publicly documented by someone else (commoditized)
• When the vulnerability disclosure agreement prohibits publication (always verify NDAs/VDP terms first)

Prerequisites

• Access to relevant log sources and security tools
• Understanding of cash fundamentals
• Appropriate permissions for data access and tool operation
• A validated, non-disclosed vulnerability finding (CVE, bug bounty report, or pentest finding)
• A publisher account on at least one paid platform (Medium Partner Program, PentesterLand, or self-hosted blog with Stripe)

First Action in 60 Minutes

Run this script to convert a raw finding into a publishable writeup:

#!/usr/bin/env python3
"""writeupify.py — Turn a bug bounty finding into a publication-ready writeup."""
import sys, json, datetime, re

TEMPLATE = """---
title: "{title}"
published: {published}
date: {date}
tags: [{tags_str}]
canonical_url: ""
seo_keywords: [{seo_str}]
---

# {title}

**Vulnerability Type:** {vuln_type}
**Target:** {target}
**Severity:** {severity} (CVSS: {cvss})
**Reported:** {reported_date}
**Bounty:** ${bounty}

## TL;DR

{tldr}

## Background

{background}

## Reproduction Steps

1. {step1}
2. {step2}
3. {step3}

## Impact

{impact}

## Remediation

{remediation}

## Timeline

- **Discovery:** {disc_date}
- **Reported:** {rep_date}
- **Triaged:** {tri_date}
- **Bounty Paid:** {pay_date}
- **Disclosure:** {disc_date}

## References

- {ref1}
- {ref2}
"""

def prompt_finding():
    print("=== Writeupify — Interactive Finding to Writeup ===", file=sys.stderr)
    fields = {}
    prompts = [
        ("title", "Title"),
        ("vuln_type", "Vulnerability Type (e.g. SQLi, XSS, IDOR)"),
        ("target", "Target Application / Program"),
        ("severity", "Severity (Critical/High/Medium/Low)"),
        ("cvss", "CVSS Score (e.g. 7.5)"),
        ("bounty", "Bounty Amount (USD)"),
        ("tldr", "TL;DR (one-sentence summary)"),
        ("background", "Background (2-3 sentences on the component)"),
        ("step1", "Step 1 of reproduction"),
        ("step2", "Step 2 of reproduction"),
        ("step3", "Step 3 of reproduction"),
        ("impact", "Impact description"),
        ("remediation", "Remediation recommendation"),
        ("disc_date", "Discovery date (YYYY-MM-DD)"),
        ("rep_date", "Report date (YYYY-MM-DD)"),
        ("tri_date", "Triage date (YYYY-MM-DD)"),
        ("pay_date", "Bounty paid date (YYYY-MM-DD)"),
        ("pub_date", "Publication date (YYYY-MM-DD)"),
        ("ref1", "Reference URL 1"),
        ("ref2", "Reference URL 2"),
    ]
    for key, prompt_text in prompts:
        val = input(f"  {prompt_text}: ").strip() if sys.stdin.isatty() else ""
        fields[key] = val or "TBD"

    fields["tags_str"] = ", ".join([fields["vuln_type"], fields["severity"], "bug-bounty", "writeup", "infosec"])
    fields["seo_str"] = ", ".join([
        f"{fields['vuln_type']} writeup",
        f"bug bounty {fields['vuln_type']}",
        fields["target"],
        "how to find " + fields["vuln_type"],
        f"{fields['severity']} vulnerability example",
    ])
    fields["date"] = fields.get("pub_date", datetime.date.today().isoformat())
    fields["published"] = "false"
    return fields

if __name__ == "__main__":
    page = prompt_finding()
    t = TEMPLATE.format(**page)
    slug = re.sub(r"[^a-z0-9]+", "-", page["title"].lower()).strip("-")
    path = f"writeups/{slug}.md"
    with open(path, "w") as f:
        f.write(t)
    print(f"[+] Wrote {path} ({len(t)} bytes)")
    print(f"[+] SEO keywords: {page['seo_str']}")
    print(f"[+] Tags: {page['tags_str']}")
    print(f"[+] Next: edit {path}, set published: true, and post to Medium/PentesterLand")

Usage:

python3 writeupify.py
# fills interactively, outputs writeups/<title-slug>.md

Deliverable Format

Use this writeup template as your invoice-ready deliverable for paid platforms. Publish on Medium (Partner Program), PentesterLand, or your own blog with Substack/Stripe:

File: writeups/TEMPLATE_WRITEUP.md

---
title: "Vulnerability Title — {VulnType} in {Target}"
published: false
date: YYYY-MM-DD
tags: [vuln-type, bug-bounty, writeup, infosec, poc]
canonical_url: ""
seo_keywords: ["vuln type writeup", "bug bounty vuln type", "target", "how to find vuln type", "severity vulnerability example"]
---

# Vulnerability Title — {VulnType} in {Target}

**Vulnerability Type:** SQL Injection / XSS / IDOR / SSRF / etc.
**Target:** program.tld / app-name
**Severity:** Critical / High / Medium / Low (CVSS: X.X)
**Bounty:** $500

## TL;DR

One sentence capturing the root cause and business impact.

## Background

- What is the target? What does it do?
- Where is the vulnerable component located?
- Why is it interesting from a security perspective?

## Discovery Methodology

1. **Recon phase:** what endpoints/scopes were enumerated
2. **Testing approach:** tools used, payloads crafted, manual vs automated
3. **Trigger:** exact request/parameter that exposed the bug

## Reproduction Steps (with Evidence)

**Step 1:** Authenticate / navigate to the vulnerable page.

REQUEST: GET /api/users?id=1 HTTP/1.1 Host: target.com Cookie: session=...

**Step 2:** Inject the attack payload.

REQUEST: GET /api/users?id=1' UNION SELECT ... --

**Step 3:** Observe the response.

RESPONSE 200: {"id":1,"email":"admin@target.com","password_hash":"..."}

**Screenshot:** [POC.png](link-to-evidence)

## Impact

- Data exposed / accounts compromised / RCE achieved
- CVSS vector string and score
- Real-world damage scenario

## Remediation

- Specific fix: parameterized queries / input validation / access control check
- Code snippet showing the patch
- Defense-in-depth recommendations

## Timeline

| Date | Event |
|------|-------|
| YYYY-MM-DD | Discovery |
| YYYY-MM-DD | Reported to vendor |
| YYYY-MM-DD | Triaged / acknowledged |
| YYYY-MM-DD | Fix confirmed |
| YYYY-MM-DD | Bounty paid ($X) |
| YYYY-MM-DD | Public disclosure |

## References

- CVE-YYYY-NNNN (if applicable)
- OWASP page for this vulnerability class
- Related H1/Intigriti reports

## Tools Used

- Burp Suite / Caido / ZAP
- Custom script (link to GitHub)
- Nuclei template (link)

---

**Want this finding checked by a professional?** I offer code review and pentest services.
Email: researcher@example.com / Twitter: @handle

SEO checklist for each publish:

• title contains primary keyword + target name
• seo_keywords has 5 terms matching actual search queries
• First 200 characters include the vulnerability type and target
• canonical_url points to your primary domain
• Post includes at least 3 internal links to other writeups
• Social preview image (screenshot of POC) attached

Monetization checklist:

• Posted on Medium with Partner Program enabled
• Cross-posted to PentesterLand (paid per view)
• Shared on Twitter with "writeup" and "bug bounty" hashtags
• PoC script extracted and listed on Gumroad / GitHub Marketplace ($29-$97)
• CTA at bottom: "Need a deep-dive audit? DM me for consulting rates"

Process

1. Prepare — Verify finding is publishable (non-confidential, novel or well-demonstrated)
2. Write — Run writeupify.py, fill template, add screenshots and request/response pairs
3. SEO — Optimize title, keywords, description, canonical URL for search discovery
4. Publish — Post to paid platform (Medium Partner Program, PentesterLand, self-hosted with ads)
5. Promote — Tweet the writeup, post on Reddit r/netsec, cross-post on dev.to
6. Monetize — Offer consulting, bundle PoC into a tool, create a video walkthrough for YouTube

Verification

• Written finding is non-confidential and legally publishable
• Writeup includes reproduction steps with request/response evidence
• SEO metadata populated; canonical URL set
• PoC script ready for standalone sale
• Cross-published on at least 2 platforms
• CTA for consulting / tool sales included in footer

Anti-Rationalization Table