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fix the hyperlink
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Bhupendra Acharya committed Feb 17, 2025
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Expand Up @@ -8,13 +8,13 @@ We have two main component as part of the artifacts summary. Below we provide fu
### Source Code
The first component collects data from various social platforms to identify fraudulent donation solicitations using multiple third-party services. These fraudulent social media profiles are then analyzed based on their profile metadata, such as URLs, phone numbers, and email addresses associated with fraud. The code implementation is available in the ```code/``` directory. Below, we provide key implementations with references to sections of our paper.

| Implementation | Paper Section Reference | Code Reference |
|:---------------------------------------------------:|:---------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| Donation Keywords | Section 2.1 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/shared_util.py#L38) |
| Data Collection | Section 2.1 | [link]https://github.com/CISPA-SysSec/scam_donation/blob/main/code/social_media_data_search.py) |
| Scam Filtration | Section 2.2 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/raw_dataset_filter_logic.py) |
| Post/Image Clustering | Section 4, Appendix E and F | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/clustering/) |
| Scam Data Analysis Analysis | Section 5 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/analysis.py) |
| Implementation | Paper Section Reference | Code Reference |
|:---------------------------------------------------:|:---------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| Donation Keywords | Section 2.1 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/shared_util.py#L38) |
| Data Collection | Section 2.1 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/social_media_data_search.py) |
| Scam Filtration | Section 2.2 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/raw_dataset_filter_logic.py) |
| Post/Image Clustering | Section 4, Appendix E and F | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/clustering/) |
| Scam Data Analysis Analysis | Section 5 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/analysis.py) |
| Fraud Email, Phone Numbers, <br/> and URLs Analysis | Section 6 | [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/email_and_phone_validate.py), [link](https://github.com/CISPA-SysSec/scam_donation/blob/main/code/virus_total_api.py) |

### Data
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