Structured bug bounty training

Learn bug bounty by doing, not watching.

BountyLabs gives beginners and growing security researchers a structured path to learn web security, solve contained labs, track progress, and get guided hints without random rabbit holes.

For learning and authorized security practice only. No third-party targets, fake payouts, or inflated platform stats.

BountyLabs dashboard and lab preview

Serious practice without the noise.

BountyLabs is built for learners who want a clear workflow: learn the concept, practice in a lab, test understanding, save notes, and improve weak areas.

Structured information architecture

Paths, labs, daily challenges, quizzes, mentor guidance, notes, achievements, leaderboard, profile, and settings are separated into clear product areas.

Workflow-relevant training

Practice focuses on scoped lab work, reproducibility, impact reasoning, remediation, and responsible disclosure habits.

Motivation without gimmicks

XP, streaks, achievements, and mastery charts reward meaningful learning progress instead of spam clicking.

Follow a path, then practice.

Start with fundamentals or jump into a focused vulnerability track when you already know the basics.

Web Security FoundationsHTTP, input handling, auth basics.
Bug Bounty Beginner PathScope, recon, first report workflow.
XSS PathContext, payloads, CSP, remediation.
IDOR and Access ControlObject ownership and authorization.
SSRF PathRequest sinks and cloud metadata concepts.
SQL Injection PathDetection, auth bypass, secure queries.
API Security PathData exposure and workflow abuse.
Report Writing PathEvidence, impact, and remediation.

Interactive labs that teach method.

Labs are contained walkthroughs with prompts, payload/code areas, answer validation, simulated responses, notes, and tiered hints.

Category filters Difficulty filters Solved status Copy buttons Locked explanations

Hint ladder

  • Concept hint
  • Direction hint
  • Specific technique
  • Near-solution hint
  • Full explanation after completion or explicit reveal

AI guidance that teaches, not spoils.

The mentor is designed to explain concepts, ask guiding questions, review reasoning, and recommend practice. It should refuse help with unauthorized real-world exploitation.

Daily challenges

One focused prompt encourages a daily habit without turning learning into a gambling-style loop.

Quizzes and mastery

Topic checks and explanations reinforce what labs teach and expose weak areas to revisit.

Progress tracking

Track path progress, lab completion, quiz accuracy, category mastery, streaks, XP, and achievements.

Leaderboard and achievements

Global rankings use real backend data when accounts are enabled. When unavailable, BountyLabs keeps local progress honest instead of showing fabricated competitors.

Who it is for

Beginners, junior researchers, web pentesting learners, interview prep students, and intermediate bug bounty hunters who want structured practice.

Access

BountyLabs can run as a free learning app while paid plans are being configured. Paid claims should only appear when Play Billing or Dodo Payments plans are live.

Responsible use

BountyLabs is for learning and authorized security practice. Do not test systems you do not own or do not have permission to assess.

FAQ

Short answers for learners evaluating BountyLabs.

Does BountyLabs connect me to real bounty payouts?

No. BountyLabs trains skills and responsible workflows. It does not claim or track real bounty payouts.

Are labs safe to use?

Labs are designed as contained educational scenarios. Do not point techniques at third-party systems unless you have explicit authorization.

Is the leaderboard real?

The app has backend leaderboard plumbing. If global data is not available, the product should show honest empty or local-only states instead of fake rankings.

Can beginners use it?

Yes. Onboarding recommends a path based on skill level, goals, topics, daily practice time, and preferred hint style.

Build real bug bounty skills one lab at a time.

Start with a structured path, solve contained labs, keep notes, and let progress guide what you practice next.