AI Slop Is Drowning Bug Bounty Programs — Here’s How to Write Reports That Actually Get Paid $$$$

Triagers are rejecting AI-generated reports on sight. Programs are closing to new researchers. The 7-Question Gate is the framework that separates your work from the noise — whether you use AI or not.

The AI Slop Epidemic

In 2025, bug bounty programs started seeing something new in their triage queues: beautifully written reports describing vulnerabilities that didn't exist. Perfect grammar. Professional formatting. Copy-pasteable remediation advice. And completely fabricated evidence.

The Solution: Run /triage-validation on Every Finding

link: https://github.com/meljith-lab/claude/blob/main/triage-validation.md

For security triage tasks, I'll prefer to create and use my own triage methodology instead of relying on an existing triage skill, unless you specifically ask me to use a particular triage tool or workflow

I built a skill called triage-validation that solves this. Every time you find something—whether you found it manually, with a scanner, or with AI—you run this skill before doing anything else. Before you take notes. Before you screenshot. Before you even think about writing a report.

The workflow

Find something interesting → run /triage-validation → skill asks 7 yes-or-no questions in order → one wrong answer = finding is dead, move on → all 7 pass = now you write the report.

The skill runs a 7-Question Gate against your finding. It checks whether you have a real exploit request (not just code analysis), whether the impact is on the program's accepted list, whether the asset is in scope, whether the bug requires admin access (instant kill), whether it's a known duplicate, whether you can prove impact beyond "technically possible," and whether it's on the Never Submit list.

One wrong answer at any step and the skill kills the finding. Not "reconsider." Not "gather more evidence and come back." Kill it. Move to the next test class. The time you save on one dead finding buys you an hour to find a real one.

Why this works against AI slop specifically

The 7 questions test for exactly the things AI cannot do:

• Q1 demands a real HTTP request with a real response. AI analyzing source code can't produce this.
• Q2–Q3 require reading the program scope page. AI doesn't check scope.
• Q4 asks if the bug needs admin access. AI reports admin features as vulnerabilities constantly.
• Q5 requires searching Hacktivity for duplicates. AI can't do this.
• Q6 demands demonstrated impact, not "could potentially." This kills 80% of AI-generated findings.
• Q7 checks the Never Submit list. AI loves reporting every item on it.

After the 7Q gate, the skill runs 4 pre-submission gates (reality check, impact validation, deduplication, report quality) and a slop detector that flags AI writing patterns like "could potentially allow" and "implement proper input validation." If your report triggers more than two slop signals, the skill tells you to rewrite it.

How to use it

Every finding. Every time. No exceptions.

You find an IDOR? Run /triage-validation. You find an XSS? Run it. Your AI tool says "possible SSRF"? Run it before you even verify the SSRF. Make it muscle memory. The skill takes 2–5 minutes. A rejected report takes 2 hours and costs you reputation.

# In Claude Code — after any finding
/triage-validation
# Feed it your finding details:
"Blind SSRF via webhook URL on app.target.com,
 POST /api/webhooks, admin-only endpoint,
 DNS callback confirmed but no response data"
# Skill output:
Q4: KILLED — admin-only feature
Q6: KILLED — SSRF DNS callback only (Never Submit list)
Verdict: DO NOT REPORT. Move to next test class.

# In Claude Code — after any finding
/triage-validation
# Feed it your finding details:
"Blind SSRF via webhook URL on app.target.com,
 POST /api/webhooks, admin-only endpoint,
 DNS callback confirmed but no response data"
# Skill output:
Q4: KILLED — admin-only feature
Q6: KILLED — SSRF DNS callback only (Never Submit list)
Verdict: DO NOT REPORT. Move to next test class.

Anatomy of an AI Slop Report vs. a Real One

Let's look at the same vulnerability described two ways. One gets rejected in 30 seconds. The other gets paid.

When a Dead Finding Becomes Valid

Some findings on the Never Submit list become reportable when chained. But the chain must work end-to-end. AI loves to speculate about chains without building them. "This open redirect could be combined with…" is not a chain.

The Report Title Formula

AI generates vague titles. Triagers reject vague titles. Here's the formula:

The Bottom Line

AI slop has made bug bounty harder for everyone. Programs are drowning. Triagers are burned out. Legitimate researchers are getting lost in the noise. And the researchers generating the noise are making exactly $0 while burning their validity ratios.

The 7-Question Gate isn't anti-AI. It's anti-slop. Use AI to hunt. Use AI to write. But use the gate to decide whether your finding is real before you spend an hour on a report.

Seven questions. Five minutes. One wrong answer kills the finding. That discipline is the difference between a researcher who submits 20 reports and gets 8 paid, and one who submits 10 reports and gets 9 paid. Same income. Half the noise. Twice the reputation.

Your validity ratio is your reputation. The 7-Question Gate protects it. Use AI as a tool, not a replacement for testing. Prove exploitation, not possibility. And kill your own findings before triagers do.