# Let's first load the SQL file and inspect its content to search for any potential harmful or suspicious code.
file_path = '/mnt/data/E4BLLDOU4HKoTt.sql'

# Read the SQL file to analyze its content
with open(file_path, 'r', encoding='utf-8') as file:
    sql_content = file.read()

# Output the first part of the SQL content to inspect the general structure
sql_content[:2000]

import re

# Define some patterns commonly used in malicious SQL injections or script injections.
malicious_patterns = [
    r"<script\b[^<]*(?:(?!<\/script>)<[^<]*)*<\/script>",  # Detects script tags (common for XSS)
    r"UNION\s+SELECT",  # Detects SQL Injection attempts using UNION
    r"SELECT\s+\*\s+FROM",  # Detects basic SELECT * FROM SQL injection attempts
    r"(?:'|\"|`|\b)(OR|AND)\s+\d+=\d+",  # Detects tautology-based SQL injections (OR 1=1)
    r"DROP\s+TABLE",  # Detects SQL commands to drop tables
    r"iframe",  # Detects iframe injections, which can be used for malicious purposes
    r"base64_decode",  # Detects usage of base64_decode, commonly used to obfuscate malicious code
    r"eval\(",  # Detects eval function, often used for malicious code execution
    r"href\s*=\s*['\"]?javascript:",  # Detects href attributes containing JavaScript
    r"INSERT\s+INTO\s+\w+\s+VALUES",  # Detects basic SQL insertion patterns
]

# Check the entire SQL content against these patterns
suspicious_matches = []
for pattern in malicious_patterns:
    matches = re.findall(pattern, sql_content, re.IGNORECASE)
    if matches:
        suspicious_matches.append((pattern, matches))

# Return the suspicious matches for further analysis
suspicious_matches