The AWS Access Key Id you provided does not exist in our records, but credentials was already set - amazon-web-services

Through boto3 library, I uploaded and downloaded file from AWS s3 successfully.
But after few hours, it shows InvalidAccessKeyId suddenly for the same code.
What I have done:
set ~/.aws/credentials
Set environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
I tried the following solutions, but the error still heppens.
adding quotes on config values
ref2
Do I miss anything? Thanks for your help.

You do not need to configure both .aws/credentials AND environment variables.
From Credentials — Boto 3 documentation:
The order in which Boto3 searches for credentials is:
Passing credentials as parameters in the boto.client() method
Passing credentials as parameters when creating a Session object
Environment variables
Shared credential file (~/.aws/credentials)
AWS config file (~/.aws/config)
Assume Role provider
Boto2 config file (/etc/boto.cfg and ~/.boto)
Instance metadata service on an Amazon EC2 instance that has an IAM role configured.
The fact that your credentials stopped working after a period of time suggests that they were temporary credentials created via the AWS Security Token Service, with an expiry time.

If you have the credentials in ~/.aws/credentials there is no need to set environment variables AWS_ACCESS_KEY_ID & AWS_SECRET_ACCESS_KEY.
Environment variables are valid only for a session.
If you are using boto3, you can specify the credentials while creating client itself.
The best way to configure AWS credential is to install the AWS Command-Line Interface (CLI) and run aws configure from the bash console:
~/.aws/credentials format
[default]
aws_access_key_id = ***********
aws_secret_access_key = ************

I found this article for the same issue.
Amazon suggests to generate new key, and I did.
Then it works, but we don't know the root cause.
Suggest to do so for saving a lot of time when having the same problem.

Related

How does AWS SDK know the credentials without specifying it?

I am curious about how AWS SDK can access services locally such as S3 without explicitly providing credentials. For example, this python code is only provided with bucket name and key name but can still access the file from s3 on my local:
def s3():
bucket = "my-bucket"
file_name = "folder1/sample.json"
s3 = boto3.client('s3')
obj = s3.get_object(Bucket=bucket, Key=file_name)
file_content = obj["Body"].read().decode('utf-8')
Where did AWS SDK get the credentials? Does it use the role configured using the command aws configure in the CLI? How about if you provide an explicit access key and secret key, what is the level of priority?
All of the Amazon SDK's follow a similar pattern. For boto3, they are documented here but for completeness they are:
Passing credentials as parameters in the boto.client() method
Passing credentials as parameters when creating a Session object
Environment variables
Shared credential file (~/.aws/credentials)
AWS config file (~/.aws/config)
Assume Role provider
Boto2 config file (/etc/boto.cfg and ~/.boto)
Instance metadata service on an Amazon EC2 instance that has an IAM role configured.
It depends on how your environment is configured but it sounds like you have a ~/.aws/credentials file.

Configuring AWS Session with boto3 in production mode

I am running something that uses AWS services on a production server. The most often provided solutions for providing credentials to session are one of:
from boto3 import Session
session = Session(profile_name='my_aws_profile')
OR
from boto import Session
session = Session(
aws_access_key_id="AWS_ACCESS_KEY",
aws_secret_access_key="AWS_SECRET_ACCESS_KEY"
)
What are my options so that I can
share the code without sharing my credentials, and
specify the path of my aws credentials file instead of assuming that it has to be ~/.aws/credentials?
The documentation lists all the ways Boto can find AWS credentials: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html#configuring-credentials
In particular, the best practice would be to put credentials in environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. Boto will pick those up automatically.
save your credentials as environment variables
if you want another location for your credentials, save it in the config file and change set the AWS_CONFIG_FILE location to your desired path. If you have credentials stored in credentials file and config file, the one in the credentials file takes precedence.

AWS user with admin policy denied from CLI commands

SETUP
I created a new aws user via the aws web console, and selected both console and programmatic/cli access
I have added the AdministratorAccess policy directly to it.
I have not enabled MFA for this user
I have verified that my credentials file within the aws directory contains the proper values for aws_access_key_id and aws_secret_access_key
I have verified that my config file within the aws directory does not contain any lines that would overwrite data for the profile
I am verifying I am using the correct profile info by with aws configure list
THE ISSUE
Executing aws ec2 describe-regions returns:
An error occurred (UnauthorizedOperation) when calling the DescribeRegions operation: You are not authorized to perform this operation.
The error is pretty straightforward, but I'm not sure what else I can do to authorize this user. I had a coworker follow the same steps and the CLI worked as expected for him.
I researched the steps from This S.O. post but am still scratching my head.
Your AWS CLI is getting credentials from somewhere else. See Configuration Settings and Precedence:
http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html#config-settings-and-precedence
Make sure it is not getting the credentials from environment variables or from other locations. The AWS CLI looks for credentials and configuration settings in the following order:
Command Line Options – region, output format and profile can be specified as command options to override default settings.
Environment Variables – AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, etc.
1)The AWS credentials file – ~/.aws/credentials on Linux, OS X, or Unix, or at C:\Users\USERNAME .aws\credentials on Windows.
Can contain multiple named profiles in addition to a default profile.
2)The CLI configuration file – at ~/.aws/config on Linux, OS X, or Unix, or at C:\Users\USERNAME .aws\config on Windows. Can contain a default profile, named profiles, and CLI specific configuration parameters for each.
3)Instance profile credentials – these credentials can be used on EC2 instances with an assigned instance role

The AWS Access Key Id does not exist in our records

I created a new Access Key and configured that in the AWS CLI with aws configure. It created the .ini file in ~/.aws/config. When I run aws s3 ls it gives:
A client error (InvalidAccessKeyId) occurred when calling the ListBuckets operation: The AWS Access Key Id you provided does not exist in our records.
AmazonS3FullAccess policy is also attached to the user. How to fix this?
It might be happening that you have the old keys exported via env variables (bash_profile) and since the env variables have higher precedence over credential files it is giving the error "the access key id does not exists".
Remove the old keys from the bash_profile and you would be good to go.
Happened with me once earlier when I forgot I have credentials in bash_profile and gave me headache for quite some time :)
It looks like some values have been already set for the environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY.
If it is like that, you could see some values when executing the below commands.
echo $AWS_SECRET_ACCESS_KEY
echo $AWS_ACCESS_KEY_ID
You need to reset these variables, if you are using aws configure
To reset, execute below commands.
unset AWS_ACCESS_KEY_ID
unset AWS_SECRET_ACCESS_KEY
Need to add aws_session_token in credentials, along with aws_access_key_id,aws_secret_access_key
None of the up-voted answers work for me. Finally I pass the credentials inside the python script, using the client API.
import boto3
client = boto3.client(
's3',
aws_access_key_id=ACCESS_KEY,
aws_secret_access_key=SECRET_KEY,
aws_session_token=SESSION_TOKEN)
Please notice that the aws_session_token argument is optional. Not recommended for public work, but make life easier for simple trial.
For me, I was relying on IAM EC2 roles to give access to our machines to specific resources.
I didn't even know there was a credentials file at ~/.aws/credentials, until I rotated/removed some of our accessKeys at the IAM console to tighten our security, and that suddenly made one of the scripts stop working on a single machine.
Deleting that credentials file fixed it for me.
I made the mistake of setting my variables with quotation marks like this:
AWS_ACCESS_KEY_ID="..."
You may have configured AWS credentials correctly, but using these credentials, you may be connecting to some specific S3 endpoint (as was the case with me).
Instead of using:
aws s3 ls
try using:
aws --endpoint-url=https://<your_s3_endpoint_url> s3 ls
Hope this helps those facing the similar problem.
you can configure profiles in the bash_profile file using
<profile_name>
aws_access_key_id = <access_key>
aws_secret_access_key = <acces_key_secret>
if you are using multiple profiles. then use:
aws s3 ls --profile <profile_name>
You may need to set the AWS_DEFAULT_REGION environment variable.
In my case, I was trying to provision a new bucket in Hong Kong region, which is not enabled by default, according to this:
https://docs.aws.amazon.com/general/latest/gr/s3.html
It's not totally related to OP's question, but to topic per se, so if anyone else like myself finds trapped on this edge case:
I had to enable that region manually, before operating on that AWS s3 region, following this guide: https://docs.aws.amazon.com/general/latest/gr/rande-manage.html
I have been looking for information about this problem and I have found this post. I know it is old, but I would like to leave this post in case anyone has problems.
Okay, I have installed the AWS CLI and opened:
It seems that you need to run aws configure to add the current credentials. Once changed, I can access
Looks like ~/.aws/credentials was not created. Try creating it manually with this content:
[default]
aws_access_key_id = sdfesdwedwedwrdf
aws_secret_access_key = wedfwedwerf3erfweaefdaefafefqaewfqewfqw
(on my test box, if I run aws command without having credentials file, the error is Unable to locate credentials. You can configure credentials by running "aws configure".)
Can you try running these two commands from the same shell you are trying to run aws:
$ export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
$ export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
and then try aws command.
another thing that can cause this, even if everything is set up correctly, is running the command from a Makefile. for example, I had a rule:
awssetup:
aws configure
aws s3 sync s3://mybucket.whatever .
when I ran make awssetup I got the error: fatal error: An error occurred (InvalidAccessKeyId) when calling the ListObjects operation: The AWS Access Key Id you provided does not exist in our records.. but running it from the command line worked.
Adding one more answer since all the above cases didn't work for me.
In AWS console, check your credentials(My Security Credentials) and see if you have entered the right credentials.
Thanks to this discussion:
https://forums.aws.amazon.com/message.jspa?messageID=771815
This could happen because there's an issue with your AWS Secret Access Key. After messing around with AWS Amplify, I ran into this issue. The quickest way is to create a new pair of AWS Access Key ID and AWS Secret Access Key and run aws configure again.
I works for me. I hope this helps.
To those of you who run aws s3 ls and getting this exception. Make sure You have permissions to all regions under the provided AWS Account. When running aws s3 ls you try to pull all the s3 buckets under the AWS Account. therefore, in case you don't have permissions to all regions, you'll get this exception - An error occurred (InvalidAccessKeyId) when calling the ListBuckets operation: The AWS Access Key Id you provided does not exist in our records.
Follow Describing your Regions using the AWS CLI for more info.
I had the same problem in windows and using the module aws-sdk of javascript. I have changed my IAM credentials and the problem persisted even if i give the new credentials through the method update like this
s3.config.update({
accessKeyId: 'ACCESS_KEY_ID',
secretAccessKey: 'SECRET_ACCESS_KEY',
region: 'REGION',
});
After a while i found that the module aws-sdk had created a file inside the folder User on windows with this path
C:\Users\User\.aws\credentials
. The credentials inside this file take precedence over the other data passed through the method update.
The solution for me was to write here
C:\Users\User\.aws\credentials
the new credentials and not with the method s3.config.update
Kindly export the below variables from the credential file from the below directory.
path = .aws/
filename = credentials
export aws_access_key_id = AK###########GW
export aws_secret_access_key = g#############################J
Hopefully this saves others from hours of frustration:
call aws.config.update({ before initializing s3.
const AWS = require('aws-sdk');
AWS.config.update({
accessKeyId: 'AKIAW...',
secretAccessKey: 'ptUGSHS....'
});
const s3 = new AWS.S3();
Credits to this answer:
https://stackoverflow.com/a/61914974/11110509
I tries below steps and it worked:
1. cd ~
2. cd .aws
3. vi credentials
4. delete
aws_access_key_id =
aws_secret_access_key =
by placing cursor on that line and pressing dd (vi command to delete line).
Delete both the line and check gain.
If you have an AWS Educate account and you get this problem:
An error occurred (InvalidAccessKeyId) when calling the ListBuckets operation: The AWS Access Key Id you provided does not exist in our records".
The solution is here:
Go to your C:/ drive and search for .aws folder inside your main folder in windows.
Inside that folder you get the "credentials" file and open it with notepad.
Paste the whole key credential from AWS account to the same notepad and save it.
Now you are ready to use you AWS Educate account.
Assuming you already checked Access Key ID and Secret... you might want to check file team-provider-info.json which can be found under amplify/ folder
"awscloudformation": {
"AuthRoleName": "<role identifier>",
"UnauthRoleArn": "arn:aws:iam::<specific to your account and role>",
"AuthRoleArn": "arn:aws:iam::<specific to your account and role>",
"Region": "us-east-1",
"DeploymentBucketName": "<role identifier>",
"UnauthRoleName": "<role identifier>",
"StackName": "amplify-test-dev",
"StackId": "arn:aws:cloudformation:<stack identifier>",
"AmplifyAppId": "<id>"
}
IAM role being referred here should be active in IAM console.
If you get this error in an Amplify project, check that "awsConfigFilePath" is not configured in amplify/.config/local-aws-info.json
In my case I had to remove it, so my environment looked like the following:
{
// **INCORRECT**
// This will not use your profile in ~/.aws/credentials, but instead the
// specified config file path
// "dev": {
// "configLevel": "project",
// "useProfile": false,
// "awsConfigFilePath": "/Users/dev1/.amplify/awscloudformation/cEclTB7ddy"
// },
// **CORRECT**
"dev": {
"configLevel": "project",
"useProfile": true,
"profileName": "default",
}
}
Maybe you need to active you api keys in the web console, I just saw that mine were inactive for some reason...
Thanks, everyone. This helped to solve.
Something somehow happened which changed the keys & I didn't realize since everything was working fine until I connected to S3 from a spark...then from the command line also error started coming even in AWS s3 ls
Steps to solve
Run AWS configure to check if keys are set up (verify from last 4 characters & just keep pressing enter)
AWS console --> Users --> click on the user --> go to security credentials--> check if the key is the same that is showing up in AWS configure
If both not the same, then generate a new key, download csv
run --> AWS configure, set up new keys
try AWS s3 ls now
Change keys at all places in my case it was configs in Cloudera.
I couldn't figure out how to get the system to accept my Vocareum credentials so I took advantage of the fact that if you configure your instance to use IAM roles, the SDK automatically selects the IAM credentials for your application, eliminating the need to manually provide credentials.
Once a role with appropriate permissions was applied to the EC2 instance, I didn't need to provide any credentials.
Open the ~/.bash_profile file and edit the info with the new values that you received at the time of creating the new user:
export AWS_ACCESS_KEY_ID=
export AWS_SECRET_ACCESS_KEY=
export AWS_DEFAULT_REGION=us-east-1
Afterward, run the command:
source ~/.bash_profile
This will enable the new keys for the local machine. Now, we will need to configure the info in the terminal as well. Run the command -
aws configure
Provide the new values as requested and you are good to go.
In my case, I was using aws configure
However, I hand-edited the .aws/config file to export the KeyID and key environment variables.
This apparently caused a silent error and saw the error listed above.
I solved this by destroying the .aws directory and running aws configure again.
I have encountered this issue when trying to export RDS Postgres data to S3 following this official guide.
TL;DR Troubleshooting tips:
Reset RDS credentials using:
DROP EXTENSION aws_s3 CASCADE;
DROP EXTENSION aws_commons CASCADE;
CREATE EXTENSION aws_s3 CASCADE;
Delete and add DB instance role used for s3Export feature. Optionally reset RDS credentials (previous action point) once again after that.
Below you will find more details on my case.
In particular, I have encountered:
[XX000] ERROR: could not upload to Amazon S3
Details: Amazon S3 client returned 'The AWS Access Key Id you provided does not exist in our records.'.
To be able to perform export to S3, RDS DB instance should be configured to assume a role with permission to write to S3 bucket, the guide describes these steps.
The reason of an error was in aws_s3.query_export_to_s3 Postgres procedure using some (cached?) invalid assumed credentials. I am still not aware which credentials has it been using but I have managed to achieve the same behaviour using AWS CLI:
I have assumed a role (aws sts assume-role),
And then tried to perform another action (aws s3 cp in particular) with this credentials without session token (only AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY without AWS_SESSION_TOKEN).
This resulted in the same error from AWS CLI: An error occurred (InvalidAccessKeyId) when calling the PutObject operation: The AWS Access Key Id you provided does not exist in our records.
In short: hard resetting RDS credentials helped.
I just found another cause/remedy for this error/situation. I was getting the error running a PowerShell script. The error was happening on an execution of Write-S3Object. I have been working with AWS for a while now and have been running this script with success, but had not run it in a while.
My usual method of setting AWS credentials is:
Set-AWSCredential -ProfileName <THE_PROFILE_NAME>
I tried the "aws configure" command and every other recommendation in this forum post. No luck.
Well, I am aware of the .aws\credentials file and took a look in there. I have only three profiles, with one being [default]. Everything was looking good, but then I noticed a new element in there, present in all 3 profiles, that I had not seen before:
toolkit_artifact_guid=64GUID3-GUID-GUID-GUID-004GUID236
(GUID redacting added by me)
Then I noticed this element differed between the profile I was running with and the [default] profile, which was the same profile, except for that.
On a hunch I changed the toolkit_artifact_guid in the [default] to match it to my target profile, and no more error. I have no idea why.

Packer amazon-ebs : AuthFailure

For some reason Packer fails to authenticate to AWS, using plain aws client works though, and my environment variables are correctly set:
AWS_ROLE_SESSION_NAME=...
AWS_SESSION_TOKEN=...
AWS_SECRET_ACCESS_KEY=...
AWS_ROLE=...
AWS_ACCESS_KEY_ID=...
AWS_CLI=...
AWS_ACCOUNT=...
AWS_SECURITY_TOKEN=...
I am using authentication using aws saml, and Packer gives me the following:
Error querying AMI: AWS was not able to validate the provided access credentials (AuthFailure)
The problem lies within the way Packer authenticates with AWS.
Packer is written in go and uses goamz for authentication. When creating a config using aws saml, a couple of files are generated in ~/.aws : config and credentials.
Turns out this credentials file takes precedence over the environment variables, so if these credentials are incorrect and you rely on your environment variables, you will get the same error.
Since aws-saml needs aws_access_key_id and aws_secret_access_key to be defined, deleting the credentials file would not suffice in this case.
We had to copy these values into ~/.aws/config and delete the credentials file, then Packer was happy to use our environment variables.
A ticket has been raised in github for goamz so AWS CLI and Packer can have the same authenticating behavior, feel free to vote it up if you have the issue too : https://github.com/mitchellh/goamz/issues/171