One end-to-end flow, from scope to payout.
The whole platform is a single loop: a company publishes a program, researchers test authorized targets, findings are triaged and validated, and fixes are verified before a bounty is paid.
- 01
Publish a program
Companies define scope, rules, eligibility and a severity-to-bounty table, then publish public, private or VDP programs.
→ scope + severity table
- 02
Discover & test
Researchers find programs, read the scope, and test only authorized targets under a clear responsible-testing policy.
→ authorized test window
- 03
Report & triage
Structured, evidence-backed reports enter a validation queue: valid, invalid, duplicate or needs-info, with a full discussion thread.
→ validated finding
- 04
Reward & resolve
Companies set severity and bounty, fix, and request a retest. Researchers earn and build verified, portable reputation.
→ bounty paid + retest
Every role gets its own console.
Five focused surfaces, one system of record. Each side sees exactly the workflow it needs — no more, no less.
Researcher portal
Discover programs, submit reports, and track rewards, reputation and learning.
Company portal
Create programs, review reports, and manage researchers, remediation and bounties.
Triage portal
Validate findings, classify, and manage duplicates, severity, SLAs and communication.
Admin portal
Operate users, programs, reports, payments, challenges, disputes and platform health.
Public marketplace
Program discovery, researcher profiles, rankings and selected public disclosures.
A security program console, not a giant SOC.
Publish a program in minutes with authorization that is impossible to misunderstand, then manage every finding to closure from one clean review workflow — no spreadsheets, no shared inboxes.
Unambiguous scope
In-scope and out-of-scope assets and prohibited techniques, stated explicitly on every program — authorization is never left to guesswork.
Managed triage
Optional expert validation classifies findings and handles duplicates and severity before anything reaches your engineers.
Remediation & SLAs
Track owners, response and resolution times, and request a retest — all from a single report view.
Program reputation
Transparent signals — responsiveness, bounty fairness and scope clarity — attract stronger researchers to your program.
Real, clear targets
Search by company, technology and vulnerability type. Know exactly what is authorized before you send a single request.
Structured reports
A guided form for title, asset, type, steps, impact and evidence — simple for first-timers, ready for triage.
Fair rewards
Transparent severity and bounty decisions, visible payout status, and a two-sided rating that holds companies accountable too.
Verified reputation
Valid findings, severity mix, acceptance rate and skill badges build a profile you carry across every program.
Find real work. Earn. Build a name.
datacoconut is built as a growth engine for legitimate researchers — from your first lab to your first critical finding and every bounty after. Free to join, fair by design.
Simple for first-timers. Ready for triage.
One guided form captures everything a triager needs to make a fair, fast decision — no back-and-forth guessing.
Title
A clear one-line summary of the vulnerability.
Affected asset
The exact in-scope target or endpoint.
Vulnerability type
IDOR, XSS, SSRF, auth bypass and more.
Steps to reproduce
Clear, repeatable steps a triager can follow.
Impact
Why the issue matters, in real terms.
Evidence
Screenshots, requests, responses, video or PoC.
Researcher severity
An optional severity recommendation.
Helps structure and suggest a category — never invents proof or decides.
A path from learning to real bounty participation.
Hands-on labs and challenges build verified skills, then move researchers into live programs where those skills earn real rewards.
Beginner to advanced
Progressive labs across web, API, auth and cloud, with completion tracking.
Timed challenges
Solve real-world scenarios for scores and a place on the challenge board.
Proof of skill
Achievements attach to your researcher profile and signal specialization.
Straight into bounties
Take proven skills directly into live programs and start finding real bugs.
Ranked on quality, not volume.
| Rank | Researcher | Valid | Critical | Reputation | Bounty earned |
|---|---|---|---|---|---|
| 01 | @r00tcause | 183 | 27 | 9,801 | $248,900 |
| 02 | @nullbyte | 161 | 22 | 8,860 | $212,400 |
| 03 | @shibateam | 143 | 19 | 8,180 | $190,050 |
| 04 | @parseltongue | 128 | 15 | 7,855 | $164,300 |
| 05 | @ghostpackets | 119 | 12 | 7,100 | $148,700 |
A marketplace that moves money runs on trust.
Explicit authorization
Every program states scope and prohibited activity. Authorization is never silently changed.
Verified accounts
Researcher and organization verification appropriate to risk, with KYC before real payouts.
Full audit trail
Every important decision is traceable, with an immutable report timeline.
Secure evidence
Proof and attachments are stored securely and shared only with the right parties.
Anti-abuse controls
Spam, duplicate and fabricated-evidence controls keep the signal high.
Appeals & disputes
A clear dispute workflow for both sides when a decision is contested.
Questions, answered.
What is a bug bounty program?+
A program is a company's invitation for researchers to test defined targets under clear rules, and to be rewarded for valid vulnerabilities based on severity.
Do I need to pay to submit reports as a researcher?+
No. Researchers join for free, discover programs, and earn bounties on valid findings. Companies pay to run programs and, optionally, for managed triage.
What happens after I submit a report?+
It enters triage, where it is validated as valid, invalid, duplicate or needs-info. Valid findings receive a severity and bounty decision, then move through remediation and retest to resolved.
Is my testing authorized?+
Only within a program's stated scope and rules. datacoconut makes in-scope and out-of-scope targets and prohibited techniques explicit, and authorization is never silently changed.
Does AI make the final decision on my report?+
No. AI is kept small and supportive — it can help structure a report and suggest a category. It never invents proof or makes the final validity or severity decision.