> For the complete documentation index, see [llms.txt](https://decentrascan.gitbook.io/decentrascan/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://decentrascan.gitbook.io/decentrascan/decentrascan-functionality.md).

# DecentraScan Functionality

#### Contract Scanning Process

1. **Upload:** Users upload their smart contract code through the UI.
2. **Preprocessing:** The code is preprocessed to standardize its format.
3. **Analysis:** The AI engine performs static and dynamic analysis.
4. **Reporting:** A detailed report is generated, highlighting vulnerabilities and providing recommendations.

#### AI-Driven Vulnerability Detection

Our AI models are continuously updated with new data to improve their detection capabilities. The system can identify a wide range of vulnerabilities, including reentrancy attacks, overflow/underflow issues, and unauthorized access.

#### Reporting and Recommendations

The final report includes:

* **Summary of Findings:** Overview of identified issues.
* **Detailed Analysis:** In-depth explanation of each vulnerability.
* **Recommendations:** Steps to mitigate the identified issues.


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