Markdown
This research documents a "black-box" security analysis of a major trading protocol interface. By performing network forensics and API response analysis, I identified critical inconsistencies in decimal precision handling.
- Issue: Inconsistent decimal normalization across API endpoints.
- Finding: The
profitfield returns 8 decimal places (raw data), whiletotal_profitis truncated to 2 decimals within the same object. - Risk: In DeFi, lack of unified math libraries for rounding can lead to cumulative "Precision Loss" or "Ghost Debt" vulnerabilities.
- Network Interception: Analyzing Fetch/XHR traffic via Chrome DevTools.
- Data Mapping: Tracing UI display bugs back to raw JSON backend responses.
- Logic Verification: Comparing rounding directions between different data modules.
- Full Write-up (Dev.to): [Link to your article]
- Twitter Thread: [Link to your X post]
Research by Rim Dinov (@rdin777)