Commit 2364326274
Unsigned
Layout: unified · split
db_passwords/sql/get_data.sql added +30
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| 1 | /* | |
| 2 | References: | |
| 3 | 1. https://learn.microsoft.com/en-us/sql/relational-databases/security/password-policy | |
| 4 | 2. https://learn.microsoft.com/en-us/sql/t-sql/functions/loginproperty-transact-sql | |
| 5 | */ | |
| 6 | ||
| 7 | SELECT | |
| 8 | name, | |
| 9 | principal_id, | |
| 10 | sid, | |
| 11 | type, | |
| 12 | type_desc, | |
| 13 | is_disabled, | |
| 14 | create_date, | |
| 15 | modify_date, | |
| 16 | default_database_name, | |
| 17 | default_language_name, | |
| 18 | credential_id, | |
| 19 | is_policy_checked, | |
| 20 | is_expiration_checked, | |
| 21 | password_hash, | |
| 22 | LOGINPROPERTY(name, 'IsMustChange') AS IsMustChange, | |
| 23 | LOGINPROPERTY(name, 'IsLocked') AS IsLocked, | |
| 24 | LOGINPROPERTY(name, 'LockoutTime') AS LockoutTime, | |
| 25 | LOGINPROPERTY(name, 'PasswordLastSetTime') AS PasswordLastSetTime, | |
| 26 | LOGINPROPERTY(name, 'IsExpired') AS IsExpired, | |
| 27 | LOGINPROPERTY(name, 'BadPasswordCount') AS BadPasswordCount, | |
| 28 | LOGINPROPERTY(name, 'BadPasswordTime') AS BadPasswordTime, | |
| 29 | LOGINPROPERTY(name, 'HistoryLength') AS HistoryLength | |
| 30 | FROM sys.sql_logins; | |
db_passwords/sql/test.py added +76
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| 1 | """ | |
| 2 | Checks SQL Server user data for compliance with Windows policies. | |
| 3 | """ | |
| 4 | ||
| 5 | # Import packages | |
| 6 | import pandas as pd | |
| 7 | from io import StringIO | |
| 8 | ||
| 9 | # Sample data as a CSV string | |
| 10 | data = """name,principal_id,sid,type,type_desc,is_disabled,create_date,modify_date,default_database_name,default_language_name,credential_id,is_policy_checked,is_expiration_checked,password_hash,IsMustChange,IsLocked,LockoutTime,PasswordLastSetTime,IsExpired,BadPasswordCount,BadPasswordTime,HistoryLength | |
| 11 | user1,1,,S,SQL_LOGIN,0,2023-01-15 10:35:00,2023-01-15 10:35:00,master,us_english,NULL,1,0,0x01004086CEB6772AE2356381B9B069D4E02C0185D5A06CFA3822,0,0,,2023-01-15 10:35:00,0,0,,5 | |
| 12 | user2,267,,S,SQL_LOGIN,0,2023-02-20 20:49:00,2023-02-20 20:49:00,master,us_english,NULL,0,0,0x01003E3A7A6F88A8F548540ECB2043946AC2545120424CCD8782,1,0,,2023-02-20 20:49:00,0,1,2023-02-20 20:50:00,3 | |
| 13 | user3,268,,S,SQL_LOGIN,0,2023-03-10 11:20:00,2023-03-10 11:20:00,Adminserver,us_english,NULL,1,0,0x010042516769FBC191A67840731CB36B41EFDACC97BE8264281F,0,0,,2023-03-10 11:20:00,0,0,,4 | |
| 14 | user4,269,,S,SQL_LOGIN,0,2023-04-01 10:40:00,2023-04-01 11:32:00,Adminserver,us_english,NULL,1,0,0x01005F3B351B26E2DB7C7FD3C7ED02B3FD2EDC09BB2BF13DA3E5,0,1,2023-04-01 11:32:00,2023-04-01 10:40:00,0,3,2023-04-01 11:30:00,2 | |
| 15 | user5,270,,S,SQL_LOGIN,0,2023-05-05 12:33:00,2023-05-05 12:33:00,master,us_english,NULL,1,0,0x0100AE15D55972BB3D6C6283921711CD4A208747888BEEFED71B,0,0,,2023-05-05 12:33:00,0,0,,6 | |
| 16 | user6,272,,S,SQL_LOGIN,0,2023-06-15 11:46:00,2023-06-15 11:46:00,Adminserver,us_english,NULL,1,1,0x0100F12FAE790FCE0FF356A0948211AE4052653503E1BBC28FAB,0,0,,2023-06-15 11:46:00,0,0,,7 | |
| 17 | user7,279,,S,SQL_LOGIN,0,2023-07-20 12:50:00,2023-07-20 12:50:00,Adminserver,us_english,NULL,1,1,0x01004856A222264E62219236AB6AC7E5B622F1E53D1CCA2AF9B8,0,0,,2023-07-20 12:50:00,0,0,,8 | |
| 18 | user8,284,,S,SQL_LOGIN,0,2023-08-25 13:56:00,2023-08-25 13:56:00,master,us_english,NULL,1,1,0x0100723BEDBE69779CD3087C0E60AD69C33CC7E969F78DA2498A,0,0,,2023-08-25 13:56:00,0,0,,9 | |
| 19 | """ | |
| 20 | ||
| 21 | # Load the data into a pandas DataFrame | |
| 22 | df = pd.read_csv(StringIO(data)) | |
| 23 | ||
| 24 | # Function to apply rules and generate report | |
| 25 | def apply_rules_and_report(df): | |
| 26 | report = [] | |
| 27 | for index, row in df.iterrows(): | |
| 28 | result = { | |
| 29 | 'Name': row['name'], | |
| 30 | 'Type Check': '', | |
| 31 | 'Policy Check': '', | |
| 32 | 'Expiration Check': '', | |
| 33 | 'Reason': '' | |
| 34 | } | |
| 35 | ||
| 36 | # Check the type_desc | |
| 37 | if row['type_desc'] == 'SQL_LOGIN': | |
| 38 | result['Type Check'] = 'SQL_LOGIN' | |
| 39 | elif row['type_desc'] == 'WINDOWS_LOGIN': | |
| 40 | result['Type Check'] = 'N/A' | |
| 41 | result['Reason'] = 'Refer to Windows password policy.' | |
| 42 | else: | |
| 43 | result['Type Check'] = 'Manual Review' | |
| 44 | result['Reason'] = 'Reviewer to manually review.' | |
| 45 | ||
| 46 | # Check if password policy is enforced | |
| 47 | if row['is_policy_checked'] == 1: | |
| 48 | result['Policy Check'] = 'PASS' | |
| 49 | result['Reason'] += ' Password policy is enforced. Reviewer to check the assigned policy.' | |
| 50 | else: | |
| 51 | result['Policy Check'] = 'FAIL' | |
| 52 | result['Reason'] += ' Password policy is not enforced.' | |
| 53 | ||
| 54 | # Check if password expiration is enforced | |
| 55 | if row['is_expiration_checked'] == 1: | |
| 56 | result['Expiration Check'] = 'PASS' | |
| 57 | result['Reason'] += ' Password expiration is enforced. Reviewer to check the expiration policy.' | |
| 58 | else: | |
| 59 | result['Expiration Check'] = 'FAIL' | |
| 60 | result['Reason'] += ' Password expiration is not enforced.' | |
| 61 | ||
| 62 | report.append(result) | |
| 63 | ||
| 64 | return report | |
| 65 | ||
| 66 | # Main function to run the script | |
| 67 | def main(): | |
| 68 | # Apply rules and generate report | |
| 69 | report = apply_rules_and_report(df) | |
| 70 | report_df = pd.DataFrame(report) | |
| 71 | ||
| 72 | # Print the report | |
| 73 | print(report_df) | |
| 74 | ||
| 75 | if __name__ == "__main__": | |
| 76 | main() | |