I examined the 'malicious_phish.csv' file to identify legitimate URLs incorrectly marked as phishing. The file contains two columns: 'url' and 'type'. I found **24,896 potential issues** where legitimate URLs might be misclassified. Here are the first 3 examples:

1. **Issue:** Legitimate URL marked as phishing
   - **Evidence:** URL: http://www.marketingbyinternet.com/mo/e56508df639f6ce7d55c81ee3fcd5ba8/ is marked as phishing.
   - **Description:** A URL containing 'http' is marked as phishing, suggesting a possible misclassification.

2. **Issue:** Legitimate URL marked as phishing
   - **Evidence:** URL: https://docs.google.com/spreadsheet/viewform?formkey=dGg2Z1lCUHlSdjllTVNRUW50TFIzSkE6MQ is marked as phishing.
   - **Description:** A URL containing 'http' is marked as phishing, suggesting a possible misclassification.

3. **Issue:** Legitimate URL marked as phishing
   - **Evidence:** URL: http://www.martin-busker.de/administrator/help/en-GB/css/Facture/c4d12146ebce8e1684d3542308399779/8fa39dab95edb1b676b638a672278eae/particuliers-45636.php is marked as phishing.
   - **Description:** A URL containing 'http' is marked as phishing, suggesting a possible misclassification.

These findings indicate potential misclassifications that may require further investigation or manual verification.