I reviewed the 'malicious_phish.csv' file to check for mislabeling issues. This dataset has two columns: 'url' and 'type', with categories like phishing, benign, and defacement. I also examined the 'datacard.md' file, which states the dataset includes 651,191 URLs: 428,103 benign, 96,457 defacement, 94,111 phishing, and 32,520 malware URLs. I compared this expected distribution with the actual distribution in 'malicious_phish.csv' and found no discrepancies. Therefore, there are no mislabeling issues in the dataset.