4.4.Risk Classification System

A standardized way to grade smart contract threats and transparency gaps.

To ensure clarity for both investors and developers, OPPAD uses a tiered risk classification system during the review process. This system applies to both AegisAI™ and Sentinel Review, helping categorize the severity of issues found in a project’s smart contracts or configuration.

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[!INFO] This system is not just for backend scoring — risk levels are visible on the project dashboard and determine badge status, launch eligibility, and user alerts.

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🎯 Risk Tiers

Risk Level	Description
✅ Pass	No critical or major issues. Ready to launch with full audit badge.
⚠️ Warning	Non-critical risks or questionable design choices. Requires flag or notice.
❌ Critical	Serious flaws, malicious patterns, or undeclared behavior. Launch blocked.

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🧠 Risk Evaluation Factors

Risk is classified based on a combination of:

• Exploitability: Can the issue be used to harm users or drain funds?

• Stealth: Is the logic hidden or intentionally obfuscated?

• Mismatch: Does the contract contradict declared tokenomics or features?

• Repeat Patterns: Does the contract resemble known scams or rug templates?

• Centralization Risk: Can the dev or owner pause, blacklist, or mint arbitrarily?

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🔄 Cross-Layer Consistency

• AegisAI™ assigns a numerical score (0–100) with thresholds for Warning and Critical.

• Sentinel reviewers confirm, override, or elevate the AI-assigned risk based on human logic.

• Final classification is stored on-chain and reflected in the badge system.

[!WARNING] Even a project that passes AegisAI™ can be downgraded to Critical by Sentinel if manual logic review reveals deception or unlisted features.

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🧾 Example Classifications

Finding	Risk Level
Hidden Mint Function	❌ Critical
Tax Fee Higher than Declared	⚠️ Warning
Ownership Transfer Without Notice	⚠️ Warning
Standard ERC20 with Clean Logic	✅ Pass
Blacklisting or Whitelisting Code	❌ Critical
Audit Disclosure Mismatch	⚠️ Warning

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[!TIP] OPPAD does not hide risk — we standardize and expose it so users can decide with full visibility.