Enabling CloudTrail logging Example log entry for creating a server Data access logs

Amazon CloudTrail logging for Amazon Transfer Family

Amazon Transfer Family integrates with both Amazon CloudTrail and Amazon CloudWatch. CloudTrail and CloudWatch serve different but complementary purposes.

This topic covers integration with CloudTrail , an Amazon service that creates a record of actions taken within your Amazon Web Services account. It continuously monitors and records API operations for activities like console sign-ins, Amazon Command Line Interface commands, and SDK/API operations. This allows you to keep a log of who took what action, when, and from where. CloudTrail helps with auditing, access management, and regulatory compliance by providing a history of all activity in your Amazon environment. For details, see the Amazon CloudTrail User Guide.
Amazon CloudWatch logging for Amazon Transfer Family servers covers integration with CloudWatch, a monitoring service for Amazon resources and applications. It collects metrics and logs to provide visibility into resource utilization, application performance, and overall system health. CloudWatch helps with operational tasks like troubleshooting issues, setting alarms and autoscaling. For details, see the Amazon CloudWatch User Guide.

A trail is a configuration that enables delivery of events as log files to an Amazon S3 bucket that you specify. CloudTrail log files contain one or more log entries. An event represents a single request from any source and includes information about the requested action, the date and time of the action, request parameters, and so on. CloudTrail log files aren't an ordered stack trace of the public API operations, so they don't appear in any specific order.

For an ongoing record of events in your Amazon account, including events for Amazon Transfer Family, create a trail. A trail enables CloudTrail to deliver log files to an Amazon S3 bucket. By default, when you create a trail in the console, the trail applies to all Amazon Regions. The trail logs events from all Regions in the Amazon partition and delivers the log files to the Amazon S3 bucket that you specify. Additionally, you can configure other Amazon services to further analyze and act upon the event data collected in CloudTrail logs. For more information, see the following:

All Amazon Transfer Family actions are logged by CloudTrail and are documented in the Actions API reference. For example, calls to the CreateServer, ListUsers and StopServer actions generate entries in the CloudTrail log files.

Every event or log entry contains information about who generated the request. The identity information helps you determine the following:

Whether the request was made with root or Amazon Identity and Access Management user credentials.
Whether the request was made with temporary security credentials for a role or federated user.
Whether the request was made by another Amazon service.

For more information, see the CloudTrail userIdentity element.

If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket, including events for Amazon Transfer Family. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in Event history.

Using the information collected by CloudTrail, you can determine the request that was made to Amazon Transfer Family, the IP address from which the request was made, who made the request, when it was made, and additional details.

To learn more about CloudTrail, see the Amazon CloudTrail User Guide.

Enable Amazon CloudTrail logging

You can monitor Amazon Transfer Family API operations using Amazon CloudTrail. By monitoring API operations, you can get useful security and operational information. If you have Amazon S3 object level logging enabled, RoleSessionName is contained in the Requester field as [AWS:Role Unique Identifier]/username.sessionid@server-id. For more information about Amazon Identity and Access Management (IAM) role unique identifiers, see Unique identifiers in the Amazon Identity and Access Management User Guide.

Important

The maximum length of the RoleSessionName is 64 characters. If the RoleSessionName is longer, the server-id gets truncated.

Enabling Amazon S3 data events

To track file operations performed through Amazon Transfer Family on your Amazon S3 buckets, you need to enable data events for those buckets. Data events provide object-level API activity and are particularly useful for tracking file uploads, downloads, and other operations performed by Amazon Transfer Family users.

To enable Amazon S3 data events for your Amazon Transfer Family server:

Open the CloudTrail console at https://console.aws.amazon.com/cloudtrail/.
In the navigation pane, choose Trails, and then select an existing trail or create a new one.
Under Data events, choose Edit.
For Data event type, select S3.
Choose the Amazon S3 buckets to log data events for. You can log data events for all buckets or specify individual buckets.
Choose whether to log Read events, Write events, or both.
Choose Save changes.

After enabling data events, you can access these logs in the Amazon S3 bucket configured for your CloudTrail trail. The logs include details such as the user who performed the action, the action timestamp, the specific object affected, and the onBehalfOf field that helps trace the userId for actions performed through Amazon Transfer Family.

Example log entry for creating a server

The following example shows a CloudTrail log entry (in JSON format) that demonstrates the CreateServer action.


{
    "eventVersion": "1.09",
    "userIdentity": {
        "type": "AssumedRole",
        "principalId": "AAAA4FFF5HHHHH6NNWWWW:user1",
        "arn": "arn:aws:sts::123456789102:assumed-role/Admin/user1",
        "accountId": "123456789102",
        "accessKeyId": "AAAA52C2WWWWWW3BB4Z",
        "sessionContext": {
            "attributes": {
                "mfaAuthenticated": "false",
                "creationDate": "2018-12-18T20:03:57Z"
            },
            "sessionIssuer": {
                "type": "Role",
                "principalId": "AAAA4FFF5HHHHH6NNWWWW",
                "arn": "arn:aws:iam::123456789102:role/Admin",
                "accountId": "123456789102",
                "userName": "Admin"
            }
        }
    },
    "eventTime": "2024-02-05T19:18:53Z",
    "eventSource": "transfer.amazonaws.com",
    "eventName": "CreateServer",
    "awsRegion": "us-east-1",
    "sourceIPAddress": "11.22.1.2",
    "userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36",
    "requestParameters": {
        "domain": "S3",
        "hostKey": "HIDDEN_DUE_TO_SECURITY_REASONS",
        "protocols": [
            "SFTP"
        ],
        "protocolDetails": {
            "passiveIp": "AUTO",
            "tlsSessionResumptionMode": "ENFORCED",
            "setStatOption": "DEFAULT"
        },
        "securityPolicyName": "TransferSecurityPolicy-2020-06",
        "s3StorageOptions": {
            "directoryListingOptimization": "ENABLED"
        }
    },
    "responseElements": {
        "serverId": "s-1234abcd5678efghi"
    },
    "requestID": "6fe7e9b1-72fc-45b0-a7f9-5840268aeadf",
    "eventID": "4781364f-7c1e-464e-9598-52d06aa9e63a",
    "readOnly": false,
    "eventType": "AwsApiCall",
    "managementEvent": true,
    "recipientAccountId": "123456789102",
    "eventCategory": "Management",
    "tlsDetails": {
        "tlsVersion": "TLSv1.3",
        "cipherSuite": "TLS_AES_128_GCM_SHA256",
        "clientProvidedHostHeader": "transfer.us-east-1.amazonaws.com"
    },
    "sessionCredentialFromConsole": "true"
}

Data access log examples

When you enable Amazon S3 data events for your CloudTrail trail, you can track file operations performed through Amazon Transfer Family. These logs help you monitor who accessed what data, when, and how.

Example log entry for successful data access

The following example shows a CloudTrail log entry for a successful file download operation through Amazon Transfer Family.


{
    "eventVersion": "1.09",
    "userIdentity": {
        "type": "AssumedRole",
        "principalId": "AROAEXAMPLEID:TransferSessionUser",
        "arn": "arn:aws:sts::123456789012:assumed-role/TransferS3AccessRole/TransferSessionUser",
        "accountId": "123456789012",
        "accessKeyId": "ASIAEXAMPLEKEY",
        "sessionContext": {
            "sessionIssuer": {
                "type": "Role",
                "principalId": "AROAEXAMPLEID",
                "arn": "arn:aws:iam::123456789012:role/TransferS3AccessRole",
                "accountId": "123456789012",
                "userName": "TransferS3AccessRole"
            },
            "attributes": {
                "creationDate": "2025-07-15T16:12:05Z",
                "mfaAuthenticated": "true"
            }
        },
        "invokedBy": "transfer.amazonaws.com"
    },
    "eventTime": "2025-07-15T16:15:22Z",
    "eventSource": "s3.amazonaws.com",
    "eventName": "GetObject",
    "awsRegion": "us-east-1",
    "sourceIPAddress": "transfer.amazonaws.com",
    "userAgent": "transfer.amazonaws.com",
    "requestParameters": {
        "bucketName": "my-transfer-bucket",
        "key": "users/john.doe/reports/quarterly-report-2025-Q2.pdf",
        "Host": "my-transfer-bucket.s3.amazonaws.com",
        "x-amz-request-payer": "requester"
    },
    "responseElements": null,
    "additionalEventData": {
        "SignatureVersion": "SigV4",
        "CipherSuite": "ECDHE-RSA-AES128-GCM-SHA256",
        "bytesTransferredIn": 0,
        "bytesTransferredOut": 2458732,
        "x-amz-id-2": "EXAMPLE123456789+abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ="
    },
    "requestID": "EXAMPLE123456789",
    "eventID": "example12-3456-7890-abcd-ef1234567890",
    "readOnly": true,
    "resources": [
        {
            "type": "AWS::S3::Object",
            "ARN": "arn:aws:s3:::my-transfer-bucket/users/john.doe/reports/quarterly-report-2025-Q2.pdf"
        },
        {
            "accountId": "123456789012",
            "type": "AWS::S3::Bucket",
            "ARN": "arn:aws:s3:::my-transfer-bucket"
        }
    ],
    "eventType": "AwsApiCall",
    "managementEvent": false,
    "recipientAccountId": "123456789012",
    "eventCategory": "Data",
    "requestParameters": {
        "x-amz-onBehalfOf": "john.doe.sessionid@s-abcd1234efgh5678"
    }
}

In this example, note the following important fields:

eventName: Indicates the S3 API operation that was performed (GetObject for a file download).
requestParameters.bucketName and requestParameters.key: Show which S3 object was accessed.
additionalEventData.bytesTransferredOut: Shows the size of the downloaded file in bytes.
requestParameters.x-amz-onBehalfOf: Contains the Amazon Transfer Family username and session ID, allowing you to trace which Amazon Transfer Family user performed the action.

The x-amz-onBehalfOf field is particularly important as it links the S3 API call back to the specific Amazon Transfer Family user who initiated the action. This field follows the format username.sessionid@server-id, where:

username is the Amazon Transfer Family username.
sessionid is a unique identifier for the user's session.
server-id is the ID of the Amazon Transfer Family server.

Common data access operations

When monitoring data access through Amazon Transfer Family, you'll typically see the following S3 API operations in your CloudTrail logs:

Common S3 operations in Amazon Transfer Family logs
S3 API Operation	Amazon Transfer Family Action	Description
GetObject	File download	User downloaded a file from the server
PutObject	File upload	User uploaded a file to the server
DeleteObject	File deletion	User deleted a file from the server
ListObjects or ListObjectsV2	Directory listing	User listed files in a directory
CopyObject	File copy	User copied a file within the server

By monitoring these operations in your CloudTrail logs, you can track all file activities performed through your Amazon Transfer Family server, helping you meet compliance requirements and detect unauthorized access.

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Creating a session policy

CloudWatch logging