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Diffstat (limited to 'databases/passwords/sql/test.py')
-rw-r--r-- | databases/passwords/sql/test.py | 80 |
1 files changed, 0 insertions, 80 deletions
diff --git a/databases/passwords/sql/test.py b/databases/passwords/sql/test.py deleted file mode 100644 index 81c1138..0000000 --- a/databases/passwords/sql/test.py +++ /dev/null @@ -1,80 +0,0 @@ -""" -Checks SQL Server user data for compliance with Windows policies. -""" - -# Import packages -import pandas as pd - -# Load the data into a pandas DataFrame -df_input = pd.read_csv("./data.csv") - - -# Function to apply rules and generate report -def apply_rules_and_report(df): - """ - Apply defined rules against the input data. - - Parameters: - df (pandas.DataFrame): SQL login data - - Returns: - report (list): List of dictionaries containing test results - """ - report = [] - for _, row in df.iterrows(): - result = { - "Name": row["name"], - "Type Check": "", - "Policy Check": "", - "Expiration Check": "", - "Reason": "", - } - - # Check the type_desc - if row["type_desc"] == "SQL_LOGIN": - result["Type Check"] = "SQL_LOGIN" - elif row["type_desc"] == "WINDOWS_LOGIN": - result["Type Check"] = "N/A" - result["Reason"] = "Refer to Windows password policy." - else: - result["Type Check"] = "Manual Review" - result["Reason"] = "Reviewer to manually review." - - # Check if password policy is enforced - if row["is_policy_checked"] == 1: - result["Policy Check"] = "PASS" - result["Reason"] += """Password policy is enforced. Reviewer to - check the assigned policy.""" - else: - result["Policy Check"] = "FAIL" - result["Reason"] += "Password policy is not enforced." - - # Check if password expiration is enforced - if row["is_expiration_checked"] == 1: - result["Expiration Check"] = "PASS" - result["Reason"] += """Password expiration is enforced. Reviewer to - check the expiration policy.""" - else: - result["Expiration Check"] = "FAIL" - result["Reason"] += "Password expiration is not enforced." - - report.append(result) - - return report - - -# Main function to run the script -def main(): - """ - Apply defined rules against the input data and print the results. - """ - # Apply rules and generate report - report = apply_rules_and_report(df_input) - report_df = pd.DataFrame(report) - - # Print the report - print(report_df) - - -if __name__ == "__main__": - main() |