rdin777/kuru-precision-loss
GitHub: rdin777/kuru-precision-loss
针对 Kuru Labs 协议智能合约中因运算顺序不当导致精度丢失的严重漏洞，提供技术分析与 Foundry Fuzzing 概念验证。
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# 精度丢失漏洞：深度剖析与 Fuzzing PoC
## 🛡️ 执行摘要
在去中心化金融中，数学公式中的运算顺序至关重要。该项目演示了过早的除法运算如何导致严重的精度丢失，通常会造成 **100% 的用户资金损失**（即“Zero-Share”或“Zero-Output”攻击向量）。
### 关键漏洞：过早除法
标准的 Solidity 整数除法会截断余数。当公式在执行乘法之前进行除法运算时，中间结果可能会降至 1 以下，从而导致后续的整个计算全盘崩溃为 0。
**易受攻击的模式：** `(amount * price) / base * multiplier / base`
**正确的模式：** `(amount * price * multiplier) / (base * base)`
## 🚀 概念验证（Foundry）
本代码库包含一个基于 **Foundry** 构建的专用测试套件，该套件结合了静态测试和 Fuzzing 测试来识别边界情况。
### 运行测试
要验证该漏洞，请运行：
```
forge test -vv
Fuzzing Strategy
The testPrecisionLossFuzz function utilizes property-based testing to find specific values of p (price), s (shares), and mult (multiplier) where the bugged formula returns 0 while the correct mathematical result is significantly higher.
Example Found by Fuzzer:
Input: p: 1e7, s: 3.79e9, mult: 1e25
Bugged Result: 0
Correct Result: 379,247
Impact: Critical loss of assets for the end-user.
📊 Technical Confirmation
This vulnerability was analyzed during the Kuru Labs Audit, where it was confirmed by judges with the following metrics:
Severity: Critical
Likelihood: High
Impact: High
🛠 Tools Used
Foundry / Forge: For advanced fuzzing and unit testing.
Solidity 0.8.x: Core smart contract logic.
Developed for security research purposes. Part of the rdin777 audit portfolio.
# kuru-precision-loss
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标签：Foundry, Maven, Solidity, 区块链安全, 智能合约审计, 漏洞验证