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Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
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Free 30-min Web3 Consultation
Book Consultation
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View Audit Services
Custom DeFi Protocol Development
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Full-Stack Web3 dApp Development
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Guides

Setting Up a Bug Bounty Program for Your Prediction Market

A technical guide for developers to create and manage a structured bug bounty program, including scope definition, severity classification, reward tiers, and legal considerations.
Chainscore © 2026
introduction
SECURITY

Setting Up a Bug Bounty Program for Your Prediction Market

A structured bug bounty program is a critical security layer for prediction markets, incentivizing ethical hackers to find vulnerabilities before malicious actors can exploit them.

Prediction markets, which handle user funds, sensitive data, and complex smart contract logic for resolving real-world events, present a significant attack surface. A bug bounty program formalizes the process of receiving and rewarding vulnerability reports. This proactive approach is more cost-effective than post-exploit recovery and builds community trust by demonstrating a commitment to security. Platforms like PolyMarket and Polymarket (on Polygon) operate in this high-stakes environment where contract flaws can lead to direct financial loss.

The first step is defining the program's scope and rules. Clearly specify which components are in scope: your core prediction market contracts, oracle integration layers, and any associated front-end or API services. Use a standardized template like the Disclosure Policy from Immunefi or HackerOne. Key elements include: - In-Scope Targets: List contract addresses and repositories. - Out-of-Scope Issues: Specify low-severity or known issues. - Reward Tiers: Define bounty amounts based on severity (Critical, High, Medium). - Safe Harbor: Guarantee legal protection for researchers acting in good faith.

Technical setup is crucial for secure submission handling. Do not use a public email address. Instead, set up a dedicated, encrypted channel. For on-chain components, consider using a bug bounty vault—a smart contract that holds bounty funds and can automate payouts upon triage committee approval. Implement a require statement to restrict testnet faucet access to registered researcher addresses, preventing drain attacks during testing. Your documentation should include a testnet deployment with faucet details for easy validation.

Determining reward sizes requires benchmarking against the value at risk. For a prediction market, Critical bugs (e.g., draining the market treasury or manipulating resolution) should command rewards of 10% of the funds at risk, up to a significant cap (e.g., $100,000+). High severity issues (e.g., stealing user funds from individual wallets) might offer 5% of the at-risk value. Use platforms like Immunefi to compare with similar DeFi projects. The reward must be substantial enough to attract top talent away from exploiting the bug maliciously.

Finally, establish a clear triage and response workflow. Designate internal security engineers to validate reports. The process should be: 1. Acknowledge receipt within 24-48 hours. 2. Triage and validate the bug's severity and impact. 3. Develop and deploy a fix. 4. Pay the bounty after confirmation. Transparency post-resolution is key; publish a sanitized report detailing the vulnerability and the fix without exposing exploit code. This closes the loop with the security community and enhances your protocol's credibility.

prerequisites
SECURITY FOUNDATION

Prerequisites and Preparation

Before launching a bug bounty, you must establish a secure foundation for your prediction market. This involves hardening your smart contracts, setting up a clear scope, and preparing your team to handle reports.

A successful bug bounty program starts with a secure codebase. Before inviting external scrutiny, conduct a thorough internal audit and fix all known critical and high-severity vulnerabilities. Use static analysis tools like Slither or Mythril and ensure your contracts pass security standards from ConsenSys Diligence or OpenZeppelin. Deploy your contracts to a testnet like Sepolia or Holesky in their final, production-ready state. This ensures whitehats are testing the exact code that will go live, preventing wasted effort on issues you've already resolved internally.

Define a clear and public scope for researchers. This includes specifying which smart contracts are in-scope by providing their verified addresses on Etherscan or Blockscout. List all supported networks (e.g., Ethereum Mainnet, Arbitrum, Optimism). Crucially, you must outline what is out-of-scope: this typically includes already-known issues, problems on front-end interfaces not directly related to contract logic, and low-impact findings like gas optimizations. A well-defined scope, published on platforms like Immunefi or HackerOne, sets clear expectations and focuses researcher efforts on the most critical attack surfaces.

Establish your vulnerability disclosure and triage process. Designate a dedicated security contact or team, often a security@yourproject.com email, to receive reports. Create a SecureDrop page or use your bug bounty platform's private reporting system. Develop a Severity Classification Framework based on the OWASP Risk Rating Methodology or Immunefi's Vulnerability Severity Classification System. This framework should objectively define what constitutes a Critical, High, Medium, or Low severity bug, often tied to potential financial loss. Prepare a contingency plan for handling a critical bug report, including steps for pausing the market and executing an upgrade.

Set your bounty reward budget. Rewards must be substantial enough to incentivize top-tier researchers. For a prediction market holding significant value, Critical bug bounties often range from $50,000 to $250,000+, with High severity bugs ranging from $10,000 to $50,000. Allocate this budget in stablecoins or your project's native token. Clearly publish these reward ranges in your program policy. Transparency about payouts builds trust with the security community. Remember, the cost of a bounty is minimal compared to the potential loss from an undiscovered exploit.

Finally, prepare your legal and operational framework. Create a Vulnerability Disclosure Policy (VDP) that includes safe harbor provisions, protecting researchers from legal action when they follow the rules. Specify the allowed testing methods—typically, testing on your public testnet is permitted, while any testing on mainnet must use your own funds. Decide on your response timeline (e.g., acknowledge reports within 24 hours, triage within 72 hours). Having these policies documented and reviewed by legal counsel before launch ensures a smooth, professional process when the first report arrives.

defining-scope-and-rules
FOUNDATION

Step 1: Define Program Scope and Rules of Engagement

The first and most critical step in launching a bug bounty program is establishing a clear, comprehensive scope and a set of rules that protect both your protocol and the security researchers.

A well-defined scope explicitly lists which parts of your system are in-bounds for testing. For a prediction market like Polymarket or Augur, this typically includes the core smart contracts for markets, liquidity pools, oracle resolution, and governance. It must also specify which assets, networks (e.g., Polygon, Arbitrum), and front-end applications are covered. Crucially, you must define what is out-of-scope, such as third-party dependencies, social engineering attacks, or issues already known to the team. A vague scope leads to wasted effort and disputes over report validity.

The Rules of Engagement (RoE) document the legal and procedural framework. This includes the safe harbor clause, which guarantees legal protection for researchers acting in good faith and following the rules. It should detail the submission process (e.g., via Immunefi or HackerOne), required proof-of-concept details, and a communication policy prohibiting public disclosure before a fix is deployed. For prediction markets, special rules often apply to oracle manipulation or front-running attacks during market resolution phases.

Set clear severity classifications and corresponding bounty rewards. Use the CVSS (Common Vulnerability Scoring System) framework adapted for Web3. A critical bug enabling theft of all pool funds would warrant the maximum bounty (e.g., up to $100,000+), while a medium-severity UI bug might earn a smaller reward. Publish these tiers publicly to set expectations. Platforms like Immunefi provide standardized templates that can be customized for your prediction market's unique architecture.

Finally, define your response and disclosure timeline. Commit to a first response time (e.g., 24-48 hours for high-severity reports) and a clear process for triage, validation, and fix deployment. Specify when and how you will disclose resolved vulnerabilities. A transparent process builds trust with the security community, encouraging top researchers to scrutinize your code, which is essential for decentralized systems handling significant value.

CRITICAL COMPONENT

Step 2: Create a Severity and Reward Matrix

A standardized framework for classifying bug reports and determining appropriate financial rewards based on impact and likelihood.

Vulnerability CategoryCriticalHighMediumLow

Impact on Funds

Direct loss of >$1M or protocol insolvency

Direct loss of $100k-$1M or severe manipulation

Indirect loss potential or manipulation <$100k

No direct loss, UI/UX flaw

Impact on Availability

Complete, permanent protocol shutdown

Significant downtime (>24 hours)

Partial downtime (<24 hours)

Minor performance degradation

Likelihood of Exploit

Trivial for any user, no special conditions

Requires specific but common conditions

Requires unlikely or privileged conditions

Theoretical, requires extreme edge cases

Example for Prediction Markets

Oracle manipulation draining all liquidity

Front-running a major market resolution

Incorrect fee calculation for a specific asset

Display error in historical odds data

Recommended Bounty Range

$50,000 - $250,000+

$10,000 - $50,000

$1,000 - $10,000

$100 - $1,000

Payout Trigger

Upon verified exploit & fix deployment

Upon verified PoC & fix deployment

Upon verified PoC & fix deployment

Upon fix deployment

Response Time SLA

< 24 hours

< 48 hours

< 5 business days

< 10 business days

platform-selection-setup
PLATFORM INTEGRATION

Step 3: Select and Configure a Bounty Platform

Choosing the right platform is critical for managing submissions, automating payouts, and establishing program credibility.

Your bug bounty platform is the public interface and backend engine for your program. It manages vulnerability submissions, facilitates communication with researchers, and often automates reward payments. For a prediction market, you must select a platform that supports your specific tech stack—typically EVM-compatible smart contracts on chains like Ethereum, Arbitrum, or Polygon. Key platform features to evaluate include: a secure submission portal, triage assistance, support for on-chain bounty payments in tokens or stablecoins, and a clear public policy page that defines your scope and rules.

Major platforms like Immunefi, HackerOne, and Code4rena each have distinct strengths. Immunefi is the dominant platform for Web3, offering specialized templates for DeFi protocols and handling payments in crypto. HackerOne provides extensive triage services and a larger pool of generalist security researchers. Code4rena focuses on time-boxed audit competitions rather than ongoing programs. For most prediction markets, a platform with deep Web3 integration, like Immunefi, is the pragmatic choice to ensure researchers understand the unique risks of oracle manipulation, liquidity pool logic, and settlement mechanisms.

Configuration begins by defining your scope with precision. This is not just a list of contract addresses. You must specify which contracts are in-scope (e.g., core market factory, oracle adapter, treasury) and which are out-of-scope (e.g., third-party price feeds, the front-end UI). Clearly state the severity classification and corresponding bounty rewards, often using the Immunefi Vulnerability Severity Classification System as a benchmark. For example, a critical bug allowing theft of all pool funds might warrant a reward of up to $100,000, while a medium-severity logic error could be $5,000.

You must also configure the submission and payout workflow. Decide if you want the platform to handle initial triage or if your internal team will review all reports. Set up the payment method: will rewards be sent automatically via the platform's escrow system, or will you manually approve and execute each transaction? For on-chain payments, ensure your treasury wallet holds sufficient funds (or has an allowance) for potential payouts. Document all these details in your public policy, which serves as the legal and operational framework for the program.

Finally, launch requires more than flipping a switch. Start with a private, invite-only phase to a small group of trusted researchers. This allows you to test the submission process, refine your response times, and potentially find critical issues before a public announcement. After a successful private phase, transition to a public program. Promote it on your website, social channels, and developer documentation to attract a wide range of security talent. A well-configured and promoted program signals a serious commitment to security, enhancing your protocol's reputation.

triage-and-remediation-process
OPERATIONAL SECURITY

Step 5: Establish a Triage and Remediation Process

A structured workflow for handling bug reports is critical for security and trust. This process defines how vulnerabilities are assessed, prioritized, and resolved.

01

Define Your Triage Workflow

Create a clear, documented process for handling incoming reports. Key steps include:

  • Initial Acknowledgment: Auto-respond within 24 hours to confirm receipt.
  • Classification: Categorize reports by severity (e.g., Critical, High, Medium, Low) using the CVSS framework.
  • Validation: Reproduce the issue in a test environment.
  • Escalation: Route validated reports to the correct engineering team.

Tools like Jira, Linear, or GitHub Issues can be configured with custom workflows to automate this pipeline.

02

Prioritize by Severity and Impact

Not all bugs are equal. Prioritize fixes based on a combination of exploitability and potential impact on user funds and platform integrity.

  • Critical/High: Direct loss of funds, total shutdown of core market functions. Remediate within 24-72 hours.
  • Medium: Partial loss of functionality, significant UX failure. Schedule fix in next regular release.
  • Low/Informational: Minor UI bugs, gas inefficiencies. Address in future updates.

Consider the specific attack vectors for prediction markets, such as oracle manipulation or liquidity drain attacks.

03

Communicate with Researchers

Maintain transparent and professional communication throughout the process.

  • Status Updates: Provide regular updates (e.g., weekly) on the report's progress.
  • Clarification Requests: Ask for additional details or proof-of-concept code if needed.
  • Disclosure Coordination: Agree on a coordinated disclosure timeline. Platforms like HackerOne and Immunefi provide built-in communication channels for this.

Clear communication prevents researchers from becoming frustrated and publicly disclosing vulnerabilities prematurely.

04

Deploy and Verify the Fix

Once a patch is developed, follow a secure deployment procedure.

  • Testnet Deployment: First deploy and test the fix on a forked testnet or staging environment.
  • Internal Review: Conduct a secondary security audit on the patch code.
  • Mainnet Deployment: Use a timelock controller or multisig for governance-based protocols to execute the upgrade, giving users advance notice.
  • Verification: Request the original researcher to verify the fix resolves the issue before closing the report.
05

Determine Payouts and Rewards

Calculate rewards based on the finalized severity and your program's published bounty table. Key factors:

  • Severity Level: Payout should match the promised range (e.g., $50,000 for Critical).
  • Quality of Report: Well-documented reports with PoC code may receive a bonus.
  • Asset Choice: Offer payment in stablecoins (USDC, DAI) or your project's native token, as stated in your terms.

Process payments promptly after verification to maintain researcher goodwill. For large payouts, use a secure transfer method.

06

Post-Mortem and Process Improvement

After resolving a significant vulnerability, conduct an internal review.

  • Root Cause Analysis: How did the bug get introduced? Was it a logic error, a dependency issue, or an oversight in spec?
  • Process Audit: Did your triage workflow perform efficiently? Identify bottlenecks.
  • Preventive Measures: Update development standards, add specific unit/integration tests, or implement runtime monitoring (e.g., Forta bots) to catch similar issues.

Document lessons learned and update your security playbook. This turns a security incident into a long-term strength.

program-promotion-launch
PUBLIC ENGAGEMENT

Step 6: Promote and Launch the Program

A bug bounty program's success depends on attracting skilled researchers. This step details how to announce your program and manage its public launch to maximize participation and security coverage.

Begin by crafting a clear and detailed announcement. Your primary channels should include the official bug bounty platform where your program is hosted (like Immunefi or HackerOne), your project's official X (Twitter) account, Discord/Telegram announcements channel, and relevant developer forums like the Ethereum Magicians or project-specific governance forums. The announcement should link directly to your program's scope, rules, and submission portal. Clearly state the launch date, the total bounty pool, and highlight any critical or high-severity reward ranges to attract top-tier talent.

To generate initial momentum, consider a time-limited launch bonus. For example, offer a 20% multiplier on all rewards for vulnerabilities submitted within the first 30 days. This creates urgency and ensures a concentrated audit effort immediately after launch. Simultaneously, engage with your community: pin the announcement in Discord, host a Twitter Spaces session to answer questions about the program's scope, and encourage your existing developer community to share the news. Transparency about past audits (e.g., "This follows a completed audit from Spearbit") builds credibility.

Your program's public page is your permanent recruitment tool. It must be meticulously maintained. Beyond the scope, include a detailed technical stack (e.g., Solidity 0.8.20, Arbitrum Nitro, Chainlink Data Feeds), clear testing instructions (forked mainnet RPC URL, deployment addresses), and a comprehensive asset list (contract addresses for all in-scope prediction market contracts, oracles, and treasury modules). Update this page promptly after any protocol upgrades or scope changes. A well-documented program reduces researcher onboarding time and minimizes invalid submissions.

Launch is not a one-time event; it's the start of an ongoing process. Designate a team member to monitor submissions daily and acknowledge receipt within 24-48 hours. Publicly thank researchers (with their permission) for valid submissions on your social channels—this positive reinforcement fosters a strong security community. Use the initial wave of reports to refine your internal triage process and response times. The goal is to establish a reputation as a professional and responsive program, which is key to retaining researchers for the long term.

Finally, integrate the bug bounty into your broader security narrative. In your project's documentation and marketing materials, mention the active bug bounty program as a pillar of your security posture, alongside audits and formal verification. This public commitment not only attracts researchers but also builds user and investor trust in the prediction market's resilience against exploits, directly contributing to the protocol's long-term viability and adoption.

BUG BOUNTY TARGETS

Common Vulnerabilities in Prediction Markets

Critical smart contract and economic vulnerabilities to prioritize in a security audit and bug bounty program.

Vulnerability TypeSeverityImpactExample Attack Vector

Oracle Manipulation

Critical

Market resolution failure, fund theft

Front-running or bribing the data source

Liquidity Pool Drain

Critical

Protocol insolvency, user loss of funds

Exploiting rounding errors or reentrancy in AMM

Governance Attack

High

Protocol takeover, parameter manipulation

Flash loan to acquire voting power

Front-Running Resolutions

High

Unfair payouts, information asymmetry

Seeing a resolution transaction and placing a late bet

Incorrect Fee Accounting

Medium

Protocol revenue loss, economic imbalance

Logic error allowing users to avoid creation or settlement fees

Denial-of-Service (DoS)

Medium

Market freezing, user lockout

Filling block gas limit with dummy transactions

UI/Client-Side Exploit

Low-Medium

Phishing, transaction manipulation

Malicious injected script on a frontend

BUG BOUNTY PROGRAM

Frequently Asked Questions

Common questions and technical troubleshooting for launching a secure and effective bug bounty program for your prediction market protocol.

The core goal is to crowdsource security testing by incentivizing independent security researchers (white-hat hackers) to find and responsibly disclose vulnerabilities before malicious actors exploit them. For a prediction market, this is critical for protecting user funds, ensuring the integrity of market resolution, and maintaining the protocol's oracle security. A well-structured program transforms potential adversaries into a proactive defense layer, significantly reducing the risk of catastrophic financial loss and reputational damage. It is a key component of a mature security posture, complementing formal audits and internal reviews.

conclusion
SECURITY BEST PRACTICES

Conclusion and Next Steps

A well-structured bug bounty program is a critical component of your prediction market's security posture, transforming the community into a proactive defense force.

Launching a bug bounty program is not the final step, but the beginning of an ongoing security partnership. Your program's success hinges on continuous engagement with the whitehat community. This means promptly acknowledging valid submissions, maintaining transparent communication, and regularly updating your program scope to cover new contracts and features. Platforms like Immunefi and HackerOne provide the infrastructure, but the responsibility for fostering a respectful and collaborative environment lies with your team. A positive reputation among security researchers will attract higher-quality submissions over time.

To maximize the program's effectiveness, integrate its findings directly into your development lifecycle. All critical and high-severity bugs should trigger a post-mortem analysis and lead to updates in your secure development training, automated testing suites, and internal audit checklists. For example, if a vulnerability is found in your market resolution logic, you should add specific test cases to your Foundry or Hardhat suite to prevent regression. This creates a virtuous cycle where each discovered vulnerability makes your entire codebase more robust.

Your next technical steps should involve expanding coverage. Start with your core prediction market contracts—the MarketFactory, Oracle resolvers, and liquidity pools—then gradually include peripheral systems like your front-end interface, data indexing layers, and any cross-chain bridges you employ. Publicly document the scope in your bug bounty policy, specifying which contracts are in-scope (e.g., PredictionMarketV2.sol on Ethereum mainnet) and which assets are eligible for rewards. Clarity here prevents wasted effort for researchers and ensures focus on your most critical infrastructure.

Finally, view your bug bounty as one layer in a defense-in-depth strategy. It complements but does not replace other essential practices: regular professional audits from firms like Trail of Bits or OpenZeppelin, rigorous unit and integration testing with >95% branch coverage, and the use of static analysis tools like Slither. A comprehensive security approach acknowledges that no single method catches all issues; the synergy between automated tools, expert auditors, and crowd-sourced bug bounties provides the strongest assurance for your users' funds and your protocol's longevity.