Python Boto3 Mfa Making Connection With Access_key_id, Access_key, Session_token And Mfa, Without Passing Rolearn

Can we make an AWS connection to list and fetch objects having temp session using python Boto3 with using only following? and without passing RoleArn? _AWS_ACCESS_KEY_ID, _AWS_SECR

Solution 1:

Worked by running this code, it doesnot require RoleArn

import boto
from boto.s3.connection import S3Connection
from boto.sts import STSConnection

# Prompt for MFA time-based one-time password (TOTP)
mfa_TOTP = raw_input("Enter the MFA code: ")

# The calls to AWS STS GetSessionToken must be signed with the access key ID and secret
# access key of an IAM user. The credentials can be in environment variables or in 
# a configuration file and will be discovered automatically
# by the STSConnection() function. For more information, see the Python SDK 
# documentation: http://boto.readthedocs.org/en/latest/boto_config_tut.html

sts_connection = STSConnection()

# Use the appropriate device ID (serial number for hardware device or ARN for virtual device). 
# Replace ACCOUNT-NUMBER-WITHOUT-HYPHENS and MFA-DEVICE-ID with appropriate values.

tempCredentials = sts_connection.get_session_token(
    duration=3600,
    mfa_serial_number="&region-arn;iam::ACCOUNT-NUMBER-WITHOUT-HYPHENS:mfa/MFA-DEVICE-ID",
    mfa_token=mfa_TOTP
)

# Use the temporary credentials to list the contents of an S3 bucket
s3_connection = S3Connection(
    aws_access_key_id=tempCredentials.access_key,
    aws_secret_access_key=tempCredentials.secret_key,
    security_token=tempCredentials.session_token
)

# Replace BUCKET-NAME with an appropriate value.
bucket = s3_connection.get_bucket(bucket_name="BUCKET-NAME")
objectlist = bucket.list()
for obj in objectlist:
    print obj.name