aboutsummaryrefslogtreecommitdiff
path: root/db_passwords/sql
diff options
context:
space:
mode:
Diffstat (limited to 'db_passwords/sql')
-rw-r--r--db_passwords/sql/data.csv9
-rw-r--r--db_passwords/sql/test.py49
2 files changed, 34 insertions, 24 deletions
diff --git a/db_passwords/sql/data.csv b/db_passwords/sql/data.csv
new file mode 100644
index 0000000..78fd0c1
--- /dev/null
+++ b/db_passwords/sql/data.csv
@@ -0,0 +1,9 @@
+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
+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
+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
+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
+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
+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
+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
+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
+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 \ No newline at end of file
diff --git a/db_passwords/sql/test.py b/db_passwords/sql/test.py
index 7a58d9f..bfacb20 100644
--- a/db_passwords/sql/test.py
+++ b/db_passwords/sql/test.py
@@ -4,27 +4,23 @@ Checks SQL Server user data for compliance with Windows policies.
# Import packages
import pandas as pd
-from io import StringIO
-
-# Sample data as a CSV string
-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
-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
-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
-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
-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
-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
-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
-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
-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
-"""
# Load the data into a pandas DataFrame
-df = pd.read_csv(StringIO(data))
+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 index, row in df.iterrows():
+ for _, row in df.iterrows():
result = {
'Name': row['name'],
'Type Check': '',
@@ -46,29 +42,34 @@ def apply_rules_and_report(df):
# 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.'
+ result['Reason'] += '''Password policy is enforced. Reviewer to
+ check the assigned policy.'''
else:
result['Policy Check'] = 'FAIL'
- result['Reason'] += ' Password policy is not enforced.'
-
+ 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.'
+ result['Reason'] += '''Password expiration is enforced. Reviewer to
+ check the expiration policy.'''
else:
result['Expiration Check'] = 'FAIL'
- result['Reason'] += ' Password expiration is not enforced.'
-
+ 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)
+ report = apply_rules_and_report(df_input)
report_df = pd.DataFrame(report)
-
+
# Print the report
print(report_df)