​
Event Information

  • The PutUserPolicy event in AWS for IAM refers to an action where a user policy is attached or updated for a specific IAM user.
  • This event signifies that a user’s permissions or access control policies have been modified.
  • It is commonly used to grant or revoke permissions for a specific IAM user, allowing or restricting their access to AWS resources.

​
Examples

  • Unauthorized access: If the PutUserPolicy operation is misused or abused, it can lead to unauthorized access to sensitive resources. For example, an attacker could use this operation to grant themselves additional permissions or escalate their privileges within the AWS account.

  • Data exposure: If the PutUserPolicy operation is used to grant overly permissive policies to IAM users, it can result in unintended data exposure. For instance, if a user is granted a policy that allows them to access and modify all S3 buckets, it could lead to accidental exposure or modification of sensitive data.

  • Compliance violations: Improper use of the PutUserPolicy operation can lead to non-compliance with security standards and regulations. For example, if a user policy is created that violates data privacy regulations or fails to enforce proper access controls, it can result in compliance violations and potential penalties.

​
Remediation

​
Using Console

  1. Example 1: Enforce strong password policy for IAM users

    • Step 1: Login to the AWS Management Console.
    • Step 2: Go to the IAM service.
    • Step 3: Click on “Account settings” in the left navigation pane.
    • Step 4: Under the “Password policy” section, click on “Edit”.
    • Step 5: Enable the “Require at least one uppercase letter” option.
    • Step 6: Enable the “Require at least one lowercase letter” option.
    • Step 7: Enable the “Require at least one number” option.
    • Step 8: Enable the “Require at least one non-alphanumeric character” option.
    • Step 9: Set the “Minimum password length” to an appropriate value.
    • Step 10: Click on “Apply password policy”.

  2. Example 2: Enable multi-factor authentication (MFA) for IAM users

    • Step 1: Login to the AWS Management Console.
    • Step 2: Go to the IAM service.
    • Step 3: Click on “Users” in the left navigation pane.
    • Step 4: Select the IAM user for which you want to enable MFA.
    • Step 5: Click on the “Security credentials” tab.
    • Step 6: Under the “Multi-factor authentication (MFA)” section, click on “Manage”.
    • Step 7: Click on “Activate MFA”.
    • Step 8: Choose the appropriate MFA device option (e.g., virtual MFA device, hardware MFA device).
    • Step 9: Follow the on-screen instructions to set up the MFA device.
    • Step 10: Click on “Assign MFA”.

  3. Example 3: Enable AWS CloudTrail for logging IAM events

    • Step 1: Login to the AWS Management Console.
    • Step 2: Go to the CloudTrail service.
    • Step 3: Click on “Trails” in the left navigation pane.
    • Step 4: Click on “Create trail”.
    • Step 5: Provide a name for the trail and choose the appropriate settings (e.g., log file validation, S3 bucket for storing logs).
    • Step 6: Under the “Management events” section, enable logging for IAM events.
    • Step 7: Click on “Create”.
    • Step 8: Once the trail is created, go to the IAM service.
    • Step 9: Click on “Policies” in the left navigation pane.
    • Step 10: Create a new IAM policy that allows the necessary CloudTrail actions and attach it to the IAM users or groups that require access to CloudTrail logs.

​
Using CLI

  1. Ensure IAM users have strong passwords:

    • Use the update-login-profile command to enforce a strong password policy for IAM users: 
      aws iam update-login-profile --user-name <user-name> --password <new-password> --password-reset-required

  2. Enable multi-factor authentication (MFA) for IAM users:

    • Use the enable-mfa-device command to enable MFA for IAM users: 
      aws iam enable-mfa-device --user-name <user-name> --serial-number <mfa-serial-number> --authentication-code1 <code1> --authentication-code2 <code2>

  3. Regularly rotate access keys for IAM users:

    • Use the create-access-key command to generate a new access key for an IAM user: 
      aws iam create-access-key --user-name <user-name>
    • Use the delete-access-key command to delete the old access key: 
      aws iam delete-access-key --user-name <user-name> --access-key-id <access-key-id>

​
Using Python

  1. Ensure IAM users have strong passwords:
    • Use the boto3 library in Python to retrieve a list of IAM users.
    • For each user, check if their password policy meets the desired criteria (e.g., minimum length, complexity requirements).
    • If a user’s password policy does not meet the criteria, use the update_account_password_policy method to update the policy accordingly.
import boto3

iam_client = boto3.client('iam')

def update_password_policy():
    response = iam_client.get_account_password_policy()
    password_policy = response['PasswordPolicy']
    
    # Check if password policy meets desired criteria
    if password_policy['MinimumPasswordLength'] < 8:
        password_policy['MinimumPasswordLength'] = 8
    
    # Update password policy
    iam_client.update_account_password_policy(**password_policy)
  1. Monitor and log IAM user activity:
    • Use the boto3 library in Python to retrieve a list of IAM users.
    • For each user, enable CloudTrail logging to capture their activity.
    • Configure CloudTrail to send logs to a centralized logging solution (e.g., CloudWatch Logs, S3 bucket).
    • Implement a mechanism to regularly review and analyze the logs for any suspicious or unauthorized activity.
import boto3

iam_client = boto3.client('iam')
cloudtrail_client = boto3.client('cloudtrail')

def enable_cloudtrail_logging():
    response = iam_client.list_users()
    users = response['Users']
    
    for user in users:
        user_name = user['UserName']
        
        # Enable CloudTrail logging for the user
        cloudtrail_client.update_trail(
            Name='my-trail',
            CloudWatchLogsLogGroupArn='arn:aws:logs:us-west-2:123456789012:log-group:my-log-group',
            CloudWatchLogsRoleArn='arn:aws:iam::123456789012:role/my-cloudtrail-role',
            IncludeGlobalServiceEvents=True,
            IsMultiRegionTrail=True,
            TrailARN='arn:aws:cloudtrail:us-west-2:123456789012:trail/my-trail',
            EnableLogFileValidation=True,
            IsOrganizationTrail=False,
            Tags={
                'Key': 'Value'
            }
        )
  1. Implement least privilege access:
    • Use the boto3 library in Python to retrieve a list of IAM roles and their associated policies.
    • For each role, analyze the policies to identify any overly permissive permissions.
    • Modify the policies to follow the principle of least privilege, granting only the necessary permissions required for the role’s intended purpose.
import boto3

iam_client = boto3.client('iam')

def enforce_least_privilege():
    response = iam_client.list_roles()
    roles = response['Roles']
    
    for role in roles:
        role_name = role['RoleName']
        
        # Get the policies attached to the role
        response = iam_client.list_attached_role_policies(
            RoleName=role_name
        )
        attached_policies = response['AttachedPolicies']
        
        for policy in attached_policies:
            policy_arn = policy['PolicyArn']
            
            # Analyze the policy and modify it to enforce least privilege
            # (e.g., remove unnecessary actions, resources, or conditions)
            # Use the `update_assume_role_policy` method to update the policy
            iam_client.update_assume_role_policy(
                RoleName=role_name,
                PolicyDocument='{"Version": "2012-10-17", "Statement": [{"Effect": "Allow", "Action": "sts:AssumeRole", "Principal": {"Service": "ec2.amazonaws.com"}}]}'
            )