AWS: Authentication issues trying to push metrics to CloudWatch from EC2 - linux

I am trying to set up an EC2 (RHEL7) instance to push metrics to cloudwatch using perl scripts as described in http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/mon-scripts.html
I get an HTTP status 400 message "The security token included in the request is invalid"
An instance profile is associated with the instance which has the following policy attached:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"cloudwatch:PutMetricData",
"cloudwatch:GetMetricStatistics",
"cloudwatch:ListMetrics"
],
"Resource": "*"
},
{
"Effect": "Allow",
"Action": [
"ec2:DescribeTags"
],
"Resource": "*"
}
]
}
I am pulling the AWSAccessKeyId and AWSSecretKey from the instance meta-data as follows:
ROLE=$(curl http://169.254.169.254/latest/meta-data/iam/security-credentials/)
CRED=$(curl http://169.254.169.254/latest/meta-data/iam/security-credentials/$ROLE)
AWSAccessKeyId=$(sed '/AccessKeyId/!d; s/.*:\ \+"\(.\+\)",/\1/g' <<< "$CRED")
AWSSecretKey=$(sed '/SecretAccessKey/!d; s/.*:\ \+"\(.\+\)",/\1/g' <<< "$CRED")
...the values set in the above variables are correct when i check them...
I am running the script to push to cloudwatch as follows (using creds stored in variables from above):
./mon-put-instance-data.pl --mem-util --verbose --aws-access-key-id $AWSAccessKeyId --aws-secret-key $AWSSecretKey
Any ideas why it is rejecting my credentials?
Thanks in advance

If you're using an IAM profile, you don't need to put in the credentials for your script call. Remove the access key and secret key from your call.
./mon-put-instance-data.pl --mem-util --verbose

Yes. You are both right - it automatically picks up the role creds if you dont specify and seems to work.
Not sure why it doesnt work by manually setting the creds but i can look at the perl script to work this out fairly easily.
Thanks for your help.

From documentation:
The following examples assume that you provided an IAM role or awscreds.conf file. Otherwise, you must provide credentials using the --aws-access-key-id and --aws-secret-key parameters for these commands.
As an option when you get an error:
ERROR: Failed to call CloudWatch: HTTP 400. Message: The security token included in the request is invalid.
the script uses a config file (e.g. with wrong credentials):
aws-scripts-mon/awscreds.conf
So, an IAM role or awscreds.conf or --aws* params have to be provided.
And the IAM role has correct permissions:
cloudwatch:PutMetricData
cloudwatch:GetMetricStatistics
cloudwatch:ListMetrics
ec2:DescribeTags

Related

Why are my lambda/alexa-hosted skill permissions being denied?

My goal is to integrate an Alexa-hosted skill with AWS IoT. I'm getting an access denied exception runinng the following python code from this thread:
iota = boto3.client('iotanalytics')
response = iota.get_dataset_content(datasetName='my_dataset_name',versionId='$LATEST',roleArn = "arn:aws:iam::123456789876:role/iotTest")
contentState = response['status']['state']
if (contentState == 'SUCCEEDED') :
url = response['entries'][0]['dataURI']
stream = urllib.request.urlopen(url)
reader = csv.DictReader(codecs.iterdecode(stream, 'utf-8'))
What's weird is that the get_dataset_content() method described here has no mention of needing permissions or credentials. Despite this, I have also gone through the steps to use personal AWS resources with my alexa-hosted skill with no luck. As far as I can tell there is no place for me to specify the ARN of the role with the correct permissions. What am I missing?
Oh, and here's the error message the code above throws:
botocore.exceptions.ClientError: An error occurred (AccessDeniedException) when calling the GetDatasetContent operation: User: arn:aws:sts::123456789876:assumed-role/AlexaHostedSkillLambdaRole/a224ab4e-8192-4469-b56c-87ac9a34a3e8 is not authorized to perform: iotanalytics:GetDatasetContent on resource: arn:aws:iotanalytics:us-east-1:123456789876:dataset/my_project_name
I have created a role called demo, which has complete admin access. I have also given it the following trust relationship:
"Version": "2012-10-17",
"Statement": [
{
"Sid": "",
"Effect": "Allow",
"Principal": {
"Service": "iotanalytics.amazonaws.com"
},
"Action": "sts:AssumeRole"
},
{
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::123456789876:role/AlexaHostedSkillLambdaRole"
},
"Action": "sts:AssumeRole"
}
]
}
--- The trust relationships tab displays this as well: ---
Trusted entities
The identity provider(s) iotanalytics.amazonaws.com
arn:aws:iam::858273942573:role/AlexaHostedSkillLambdaRole
I ran into this today and after an hour of pondering what is going on, i figured out my problem, and i think it may be the same as what you were running into.
As it turns out, most of the guides out there don't mention the fact that you have to do some work to have the assumed role be the actual role that is used when you build up the boto3 resource or client.
This is a good reference for that - AWS: Boto3: AssumeRole example which includes role usage
Basically, from my understanding, if you do not do that, the boto3 commands will still execute under the same base role that the Alexa Lambda uses - you must first create the assumed role, and then use it.
Additionally, your role you're assuming must have the privileges that it needs to do what you are trying to do - but that's the easy part.
As I look at your code, I see: roleArn = "arn:aws:iam::123456789876:role/iotTest"
Replace it with the correct ARN of a role that has allow iotanalytics:GetDatasetContent
In addition, I assume you didn't paste all of your code, since you are trying to access the arn:aws:iotanalytics:us-east-1:123456789876:dataset/my_project_name
I have doubts that your account id is 123456789876, it looks like you miss some more ARNs in your code.

How can I assign bucket-owner-full-control when creating an S3 object with boto3?

I'm using the Amazon boto3 library in Python to upload a file into another users bucket. The bucket policy applied to the other users bucket is configured like this
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "DelegateS3BucketList",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::uuu"
},
"Action": "s3:ListBucket",
"Resource": "arn:aws:s3:::bbb"
},
{
"Sid": "DelegateS3ObjectUpload",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::uuu"
},
"Action": [
"s3:PutObject",
"s3:PutObjectAcl"
],
"Resource": [
"arn:aws:s3:::bbb",
"arn:aws:s3:::bbb/*"
]
}
]
}
where uuu is my user id and bbb is the bucket name belonging to the other user. My user and the other user are IAM accounts belonging to different organisations. (I know this policy can be written more simply, but the intention is to add a check on the upload to block objects without appropriate permissions being created).
I can then use the following code to list all objects in the bucket and also to upload new objects to the bucket. This works, however the owner of the bucket has no access to the object due to Amazons default of making objects private to the creator of the object
import base64
import hashlib
from boto3.session import Session
access_key = "value generated by Amazon"
secret_key = "value generated by Amazon"
bucketname = "bbb"
content_bytes = b"hello world!"
content_md5 = base64.b64encode(hashlib.md5(content_bytes).digest()).decode("utf-8")
filename = "foo.txt"
sess = Session(aws_access_key_id=access_key, aws_secret_access_key=secret_key)
bucket = sess.resource("s3").Bucket(bucketname)
for o in bucket.objects.all():
print(o)
s3 = sess.client("s3")
s3.put_object(
Bucket=bucketname,
Key=filename,
Body=content_bytes,
ContentMD5=content_md5,
# ACL="bucket-owner-full-control" # Uncomment this line to generate error
)
As soon as I uncomment the ACL option, the code generates an Access Denied error message. If I redirect this to point to a bucket inside my own organisation, the ACL option succeeds and the owner of the bucket is given full permission to the object.
I'm now at a loss to figure this out, especially as Amazons own advice appears to be to do it the way I have shown.
https://aws.amazon.com/premiumsupport/knowledge-center/s3-bucket-owner-access/
https://aws.amazon.com/premiumsupport/knowledge-center/s3-require-object-ownership/
It's not enough to have permission in bucket policies only.
Check if your user (or role) is missing s3:PutObjectAcl permission in IAM.
When using the resource methods in boto3, there can be several different API calls being made, and it isn't always obvious which calls are being made.
In comparison, when using client methods in boto3, there is a 1-to-1 mapping between the API call that is being made in boto3, and the API call received by AWS.
Therefore, it is likely that the resource.put_object() method is calling an additional API, such as PutObjectAcl. You can confirm this by looking in AWS CloudTrail and seeing which API calls are being made from your app.
In such a case, you would need the additional s3:PutObjectAcl permission. This would be needed if the upload process first creates the object, and then updates the object's Access Control List.
When using the client methods for uploading a file, there is also the ability to specify an ACL, which I think gets applied directly rather than requiring a second API call. Thus, using the client method to create the object probably would not require this additional permission.

User: anonymous is not authorized to perform: es:ESHttpPost on resource:

I'm having this issue with my app.
my app is deployed to Heroku server, and i'm using Elasticsearch which is deployed on AWS.
when i try to access locally to Elasticsearch - on aws domain - everyting works.
but,when i try to access to my Heroku domain (both from postman) i get 503 error with this message :
2017-12-21T13:36:52.982331+00:00 app[web.1]: statusCode: 403,
2017-12-21T13:36:52.982332+00:00 app[web.1]: response: '{"Message":"User: anonymous is not authorized to perform: es:ESHttpPost on resource: houngrymonkey"}',
my access policy is :
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"AWS": "*"
},
"Action": "es:*",
"Resource": "arn:aws:es:eu-central-1:[ACCOUNT_ID]:domain/[ES_DOMAIN]/*",
"Condition": {
"IpAddress": {
"aws:SourceIp": "[heroku static ip]"
}
}
}
]
}
can anyone tell me what is my problem here?
thanks!
I've experienced the same issue with ES and lambda, it's not exactly your case, but maybe it'll be helpful.What actually I did to resolve the issue
1) in lambda (Node.js v6.10) I added the following code:
var creds = new AWS.EnvironmentCredentials('AWS');
....
// inside "post to ES"-method
var signer = new AWS.Signers.V4(req, 'es');
signer.addAuthorization(creds, new Date());
....
// post request to ES goes here
With those lines my exception changed from
"User: anonymous..."
to
"User: arn:aws:sts::xxxx:assumed-role/yyyy/zzzzz"
That was exactly the case.
2) I've updated ES policy in the following way
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:sts::xxxx:assumed-role/yyyy/zzzzz" (which was in exception)
},
"Action": "es:*",
"Resource": "arn:aws:es:[region]:[account-id]:domain/[es-domain]/*"
},
{
"Effect": "Allow",
"Principal": {
"AWS": "*"
},
"Action": "es:*",
"Resource": "arn:aws:es:[region]:[account-id]:domain/[es-domain]/*"
"Condition": {
"IpAddress": {
"aws:SourceIp": [
"1.2.3.4/32",
....
]
}
}
}
]
}
Hope that will help.
More solutions to the error mentioned in title are described here:
If you are using a client that doesn't support request signing (such as a browser), consider the following:
Use an IP-based access policy. IP-based policies allow unsigned requests to an Amazon ES domain.
Be sure that the IP addresses specified in the access policy use CIDR notation. Access policies use CIDR notation when checking IP address against the access policy.
Verify that the IP addresses specified in the access policy are the same ones used to access your Elasticsearch cluster. You can get the public IP address of your local computer at https://checkip.amazonaws.com/.
Note: If you're receiving an authorization error, check to see if you are using a public or private IP address. IP-based access policies can't be applied to Amazon ES domains that reside within a virtual private cloud (VPC). This is because security groups already enforce IP-based access policies. For public access, IP-based policies are still available. For more information, see About access policies on VPC domains.
If you are using a client that supports request signing, check the following:
Be sure that your requests are correctly signed. AWS uses the Signature Version 4 signing process to add authentication information to AWS requests. Requests from clients that aren't compatible with Signature Version 4 are rejected with a "User: anonymous is not authorized" error. For examples of correctly signed requests to Amazon ES, see Making and signing Amazon ES requests.
Verify that the correct Amazon Resource Name (ARN) is specified in the access policy.
If your Amazon ES domain resides within a VPC, configure an open access policy with or without a proxy server. Then, use security groups to control access. For more information, see About access policies on VPC domains.

How do I connect my alexa app to dynamo db with the alexa node sdk?

I have created a lambda function that attempts to make a connection with Dynamo DB through the Alexa Skills Kit for Node according to the documentation all you need to connect to the database is
alexa.dynamoDBTableName = 'YourTableName'; // That's it!
For some reason I get the following error
User: arn:aws:sts::XXXXXXXXXXX:assumed-role/lambda_basic_dynamo/MyApp is not authorized to perform: dynamodb:GetItem on resource: arn:aws:dynamodb:us-east-1:XXXXXXXXX:table/McCannHealth"
The weird thing is that I made new roll called lambda_full_access and changed it for the skill, but it's still assuming another roll. What am I doing wrong.
I don't know if you already figured it out, but you'd have to edit the permission JSON yourself. So when your creating a new IAM role, open the "Advanced settings" and change the content of the JSON to:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"cloudwatch:*",
"cognito-identity:ListIdentityPools",
"cognito-sync:GetCognitoEvents",
"cognito-sync:SetCognitoEvents",
"dynamodb:*",
"events:*",
"iam:ListAttachedRolePolicies",
"iam:ListRolePolicies",
"iam:ListRoles",
"iam:PassRole",
"kinesis:DescribeStream",
"kinesis:ListStreams",
"kinesis:PutRecord",
"lambda:*",
"logs:*",
"s3:*",
"sns:ListSubscriptions",
"sns:ListSubscriptionsByTopic",
"sns:ListTopics",
"sns:Subscribe",
"sns:Unsubscribe",
"sns:Publish",
"sqs:ListQueues",
"sqs:SendMessage",
"kms:ListAliases",
"ec2:DescribeVpcs",
"ec2:DescribeSubnets",
"ec2:DescribeSecurityGroups",
"iot:GetTopicRule",
"iot:ListTopicRules",
"iot:CreateTopicRule",
"iot:ReplaceTopicRule",
"iot:AttachPrincipalPolicy",
"iot:AttachThingPrincipal",
"iot:CreateKeysAndCertificate",
"iot:CreatePolicy",
"iot:CreateThing",
"iot:ListPolicies",
"iot:ListThings",
"iot:DescribeEndpoint"
],
"Resource": "*"
}
]
}
Above gives a full access to DynamoDB. JSON for other permissions are available on AWS as well.
This is clearly permission issue. You have selected a role "lambda_full_access". If you have created that role then please check you have give dynamoDB GetItem permission to that role. If you have selected one of the default role then you can either you can edit that role and attach a custom policy with below policy,
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "YouID",
"Effect": "Allow",
"Action": [
"dynamodb:GetItem",
"dynamodb:Scan"
],
"Resource": [
"YOUR DYNAMODB ARN HERE"
]
}
]
}
It means now your role will have full lambda access and dynamoDB access for only "GetItem" and "Scan". If you want more permission like "PutItem" etc. you can add it.
Alternatively you can create a custom role and can attach policies for Lambda access and can create a custom policy with the above given setting.

Amazon Web Services : Setting S3 policy to allow putObject and getObject but deny listBucket

I am using getObject and putObject requests on Amazon S3 and in creating a policy for access to the bucket I discovered that if I don't allow listBucket I get an 'access denied' error.
The problem with this is that listBucket means a user can list the keys in a bucket and this presents
a security threat.
Is it possible to allow getObject and putObject without allowing listBucket?
or is there a workaround for this?
Here is the policy:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "Stmt##",
"Effect": "Allow",
"Action": [
"s3:ListBucket"
],
"Resource": [
"arn:aws:s3:::myBucket"
]
},
{
"Sid": "Stmt##",
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject"
],
"Resource": [
"arn:aws:s3:::myBucket/*"
]
}
]
}
From the Get Object documentation:
You need the s3:GetObject permission for this operation. For more information, go to Specifying Permissions in a Policy in the Amazon Simple Storage Service Developer Guide. If the object you request does not exist, the error Amazon S3 returns depends on whether you also have the s3:ListBucket permission.
I've confirmed this behavior by editing a policy that was essentially identical to yours.
I am able to get an existing object without trouble, whether or not I have the s3:ListBucket privilege, as long as I have the s3:GetObject privilege.
The behavior changes only if I don't also have the s3:ListBucket privilege, and I request an object that does not exist. In that case, S3 will not admit to me whether that object exists -- I'm denied access to knowledge about the existence of the object, since I'm not authorized to see the list.
Response for a valid request to a nonexistent object, without s3:ListBucket:
<Error>
<Code>AccessDenied</Code>
<Message>Access Denied</Message>
<RequestId>xxxx</RequestId>
<HostId>xxxx</HostId>
</Error>
Response for a valid request for the same nonexistent object, with s3:ListBucket:
<Error>
<Code>NoSuchKey</Code>
<Message>The specified key does not exist.</Message>
<Key>fakefile.txt</Key>
<RequestId>xxxx</RequestId>
<HostId>xxxx</HostId>
</Error>
So, on objects that don't actually exist, "access denied" is the expected response without s3:ListBucket. Otherwise, it works as expected.

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