aws-msk-iam-auth

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

aws-msk-iam-auth

(★ 171)

Enables developers to use AWS Identity and Access Management (IAM) to connect to their Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters.

aws-msk-iam-auth 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## Amazon MSK Library for AWS Identity and Access Management

## License

This project is licensed under the Apache-2.0 License.

## Introduction
The Amazon MSK Library for AWS Identity and Access Management enables developers to use 
AWS Identity and Access Management (IAM) to connect to their Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters. 
It allows JVM based Apache Kafka clients to use AWS IAM for authentication and authorization against 
Amazon MSK clusters that have AWS IAM enabled as an authentication mechanism.

This library provides a new Simple Authentication and Security Layer (SASL) mechanism called `AWS_MSK_IAM`. This new 
SASL mechanism can be used by Kafka clients to authenticate against Amazon MSK clusters using AWS IAM.

* [Amazon Managed Streaming for Apache Kafka][MSK]
* [AWS Identity and Access Management][IAM]
* [AWS IAM authentication and authorization for MSK ][MSK_IAM]

## Building from source
After you've downloaded the code from GitHub, you can build it using Gradle. Use this command:
 
 `gradle clean build`
 
The generated jar files can be found at: `build/libs/`.

An uber jar containing the library and all its relocated dependencies except the kafka client and `slf4j-api` can
 also be built. Use this command:

`gradle clean shadowJar`

The generated uber jar file can also be found at: `build/libs/`. At runtime, the uber jar expects to find the kafka
 client library and the `sl4j-api` library on the classpath.

## Validating secure dependencies
To ensure no security vulnerabilities in the dependency libraries, run the following.

`gradle dependencyCheckAnalyze`

If the above reports any vulnerabilities, upgrade dependencies to use the respective latest versions.

## Using the Amazon MSK Library for IAM Authentication
The recommended way to use this library is to consume it from maven central while building a Kafka client application.

``` xml
  <dependency>
      <groupId>software.amazon.msk</groupId>
      <artifactId>aws-msk-iam-auth</artifactId>
      <version>2.3.6</version>
  </dependency>
  ```
If you want to use it with a pre-existing Kafka client, you could build the uber jar and place it in the Kafka client's
classpath.

## Configuring a Kafka client to use AWS IAM with AWS_MSK_IAM mechanism
You can configure a Kafka client to use AWS IAM for authentication by adding the following properties to the client's 
configuration.

```properties
# Sets up TLS for encryption and SASL for authN.
security.protocol = SASL_SSL

# Identifies the SASL mechanism to use.
sasl.mechanism = AWS_MSK_IAM

# Binds SASL client implementation.
sasl.jaas.config = software.amazon.msk.auth.iam.IAMLoginModule required;

# Encapsulates constructing a SigV4 signature based on extracted credentials.
# The SASL client bound by "sasl.jaas.config" invokes this class.
sasl.client.callback.handler.class = software.amazon.msk.auth.iam.IAMClientCallbackHandler
```

## Configuring a Kafka client to use AWS IAM with SASL OAUTHBEARER mechanism
You can alternatively use SASL/OAUTHBEARER mechanism using IAM authentication by adding following configuration.
For more details on SASL/OAUTHBEARER mechanism, please read - [KIP-255](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=75968876)

```properties
# Sets up TLS for encryption and SASL for authN.
security.protocol=SASL_SSL
# Identifies the SASL mechanism to use.
sasl.mechanism=OAUTHBEARER
# Binds SASL client implementation. You can add client credential configurations here.
sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required;
# Encapsulates constructing a SigV4 signature based on extracted credentials.
# The SASL client bound by "sasl.jaas.config" invokes this class.
sasl.login.callback.handler.class=software.amazon.msk.auth.iam.IAMOAuthBearerLoginCallbackHandler
# This is used during client authentication and reauthentication
sasl.client.callback.handler.class=software.amazon.msk.auth.iam.IAMOAuthBearerLoginCallbackHandler
```

This configuration finds IAM credentials using the [AWS Default Credentials Provider Chain][DefaultCreds]. To summarize,
the Default Credential Provider Chain looks for credentials in this order:

1. Environment variables: AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY. 
1. Java system properties: aws.accessKeyId and aws.secretKey. 
1. Web Identity Token credentials from the environment or container.
1. The default credential profiles file– typically located at ~/.aws/credentials (location can vary per platform), and shared by many of the AWS SDKs and by the AWS CLI.  
You can create a credentials file by using the aws configure command provided by the AWS CLI, or you can create it by editing the file with a text editor. For information about the credentials file format, see [AWS Credentials File Format][CredsFile].
1. It can be used to load credentials from credential profiles other than the default one by setting the environment variable  
AWS_PROFILE to the name of the alternate credential profile. Profiles can be used to load credentials from other sources such as AWS IAM Roles. See [AWS Credentials File Format][CredsFile] for more details.
1. Amazon ECS container credentials– loaded from the Amazon ECS if the environment variable AWS_CONTAINER_CREDENTIALS_RELATIVE_URI is set. 
1. Instance profile credentials: used on EC2 instances, and delivered through the Amazon EC2 metadata service.

### Specifying an alternate credential profile for a client

If the client wants to specify a particular credential profile as part of the client configuration rather than through 
the environment variable AWS_PROFILE, they can pass in the name of the profile as a client configuration property:
```properties
# Binds SASL client implementation. Uses the specified profile name to look for credentials.
sasl.jaas.config = software.amazon.msk.auth.iam.IAMLoginModule required awsProfileName="<Credential Profile Name>";
```
#### Specifying a role based credential profile for a client

Some clients may want to assume a role and use the role's temporary credentials to communicate with a MSK
 cluster. One way to do that is to create a credential profile for that role following the rules for 
 [Using an IAM role in the CLI][RoleProfileCLI].
 They can then pass in the name of the credential profile as described [above](#specifying-an-alternate-credential-profile-for-a-client).
 
As an example, let's say a Kafka client is running on an Ec2 instance and the Kafka client wants to use an IAM role
 called `msk_client_role`. The Ec2 instance profile has permissions to assume the `msk_client_role` IAM role although
  `msk_client_role` is not attached to the instance profile.

In such a case, we create a credential profile called `msk_client` that assumes the role `msk_client_role`. 
The credential profile looks like:

```
[msk_client]
role_arn = arn:aws:iam::123456789012:role/msk_client_role
credential_source = Ec2InstanceMetadata
```
The credential profile name `msk_client` is passed in as a client configuration property:
```properties
sasl.jaas.config = software.amazon.msk.auth.iam.IAMLoginModule required awsProfileName="msk_client";
```

Many more examples of configuring credential profiles with IAM roles can be found in [Using an IAM role in the CLI][RoleProfileCLI].

### Specifying an AWS IAM Role for a client
The library supports another way to configure a client to assume an IAM role and use the role's temporary credentials.
The IAM role's ARN and optionally the session name for the client can be passed in as client configuration property:

```properties
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required awsRoleArn="arn:aws:iam::123456789012:role/msk_client_role" awsRoleSessionName="producer"  awsStsRegion="us-west-2";
```
In this case, the `awsRoleArn` specifies the ARN for the IAM role the client should use and `awsRoleSessionName
` specifies the session name that this particular client should use while assuming the IAM role. If the same IAM
 Role is used in multiple contexts, the session names can be used to differentiate between the different contexts.
The `awsRoleSessionName` is optional.
 
 `awsStsRegion` optionally specifies the regional endpoint of AWS STS to use 
while assuming the IAM role. If `awsStsRegion` is omitted the global endpoint for AWS STS is used by default. 
When the Kafka client is running in a VPC with an [STS interface VPC Endpoint][StsVpcE] [(AWS PrivateLink)][PrivateLink] to a regional endpoint of AWS STS and we want
 all STS traffic to go over that endpoint, we should set `awsStsRegion` to the region corresponding to the interface
 VPC Endpoint. It may also be necessary to configure the `sts_regional_endpoints` shared AWS config file setting, or 
 the AWS_STS_REGIONAL_ENDPOINTS environment variable as per the [AWS STS Regionalized endpoints documentation.][StsRegionalEndpointsDoc]
 
The Default Credential Provider Chain must contain the permissions necessary to assume the client role.
For example, if the client is an EC2 instance, its instance profile should have permission to assume the
 `msk_client_role`.

### Figuring out whether or not to use default credentials

When you want the MSK client to connect to MSK using credentials not found in the [AWS Default Credentials Provider Chain][DefaultCreds], you can specify an `awsProfileName` containing the credential profile to use, or an `awsRoleArn` to indicate an IAM Role’s ARN to assume using credentials in the Default Credential Provider Chain.  These parameters are optional, and if they are not set the MSK client will use credentials from the Default Credential Provider Chain. There is no need to specify them if you intend to use an IAM role associated with an AWS compute service, such as EC2 or ECS to authenticate to MSK.

If Assume Role or Profile Name params are set, but a provider fails to obtain credentials, the fallback mechanism will use the default credential chain.
To avoid this, set the `awsAddDefaultProviders` parameter to `false` (if not set, the default value is `true`):

```properties
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required \
  awsRoleArn="arn:aws:iam::123456789012:role/msk_client_role" \
  awsRoleSessionName="producer" \
  awsStsRegion="us-west-2" \
  awsAddDefaultProviders="false";
```

### Retries while getting credentials
In some scenarios the IAM credentials might be transiently unavailable. This will cause the connection to fail, which
might in some cases cause the client application to stop. 
So, in version `1.1.3` the library retries loading the credentials when it gets an `SdkClientException` (which wraps
most `AWS SDK` client side exceptions). Since the retries do not impact the fault-free path and we had heard of user
issues around random failures loading credentials (e.g.: [#59](https://github.com/aws/aws-msk-iam-auth/issues/59), maybe
 [#51](https://github.com/aws/aws-msk-iam-auth/issues/51) ), we decided to change the default behavior
  to retry a maximum of `3` times. It exponentially backs off with full jitter upto a max-delay of `2000 ms`.
   
The maximum number of retries and the maximum back off period can be set:
```
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required awsMaxRetries="7" awsMaxBackOffTimeMs="500";
```
This sets the maximum number of retries to `7` and the maximum back off time to `500 ms`.

The retries can be turned off completely by setting `awsMaxRetries` to `"0"`.

### Custom Region Provider

By default, the library extracts the AWS region from the MSK broker hostname. If the region cannot be determined from the hostname, it falls back to the `DefaultAwsRegionProviderChain`.

You can override this behavior by specifying a custom region provider via the `awsMskRegionProvider` JAAS config option. The value is a descriptor string in the format `className?param1=value1;param2=value2`. The referenced class must implement the `ConfigurableRegionProvider` interface and provide a constructor that accepts a `Map<String, String>`.

```properties
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required \
  awsMskRegionProvider="software.amazon.msk.auth.iam.internals.region.Route53RegionProvider?host=region.my-cluster.example.com;refresh.seconds=60";
```

The library ships with `Route53RegionProvider`, which resolves the region by performing a DNS TXT record lookup. It accepts the following optional parameters:
- `host` — when provided, it is used directly as the DNS lookup name. When omitted, the broker hostname is prefixed with `region.` to form the lookup name (e.g. `region.broker.example.com`).
- `refresh.seconds` — cache TTL in seconds for the resolved region. Defaults to `60` (1 minute). Set to `0` to disable caching and resolve DNS on every call.

The TXT record value is expected to contain a valid AWS region id (e.g. `us-east-1`).

If the custom region provider returns null or throws an exception, a warning is logged and the library falls back to the `DefaultAwsRegionProviderChain`.

You can also implement your own provider by implementing the `ConfigurableRegionProvider` interface:

```java
package com.example;

import java.util.Map;
import software.amazon.awssdk.regions.Region;
import software.amazon.msk.auth.iam.internals.region.ConfigurableRegionProvider;

public class MyRegionProvider implements ConfigurableRegionProvider {
    public MyRegionProvider(Map<String, String> config) {
        // initialize from config params
    }

@Override
    public Region getRegion() {
        return getRegion(null);
    }

@Override
    public Region getRegion(String host) {
        return Region.of("eu-west-1");
    }
}
```

Then reference it in your JAAS config:
```properties
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required \
  awsMskRegionProvider="com.example.MyRegionProvider?myParam=myValue";
```

## Setting EKS Service Account
 
If your Kafka Client, Producer or Consumer, is running on EKS, you can use EKS service accounts to distribute IAM credentials. The [EKS service account documentation](https://docs.aws.amazon.com/eks/latest/userguide/iam-roles-for-service-accounts.html) is a good place to start. Following steps cover the scenario of cross account IAM access with EKS service account. Our set-up uses VPC peering for cross account network access, and managed EC2 node group on EKS side. Each step below is linked to AWS documentation for more details and troubleshooting:
1. Create two AWS accounts one for MSK cluster, let's say it has AWS accountId 'A', and one for EKS cluster, let's say it has AWS accountId 'B'.
2. [Create VPCs](https://docs.aws.amazon.com/directoryservice/latest/admin-guide/gsg_create_vpc.html) in Account 'A' and Account 'B' with different CIDR blocks. 
3. [Set-up VPC Peering](https://docs.aws.amazon.com/vpc/latest/peering/create-vpc-peering-connection.html) between the two VPCs that were created in the step 1.
4. [Create a new MSK cluster](https://docs.aws.amazon.com/msk/latest/developerguide/create-cluster.html) in the account A with IAM auth enabled.
5. [Create a new EKS cluster](https://docs.aws.amazon.com/eks/latest/userguide/create-cluster.html) in the account B with `--with-oidc` [flag](https://docs.aws.amazon.com/eks/latest/userguide/enable-iam-roles-for-service-accounts.html) to use AWS Identity and Access Management (IAM) roles for service accounts.
6. [Update security groups](https://docs.aws.amazon.com/quicksight/latest/user/vpc-security-groups.html) for MSK and EKS clusters to allow traffic from each other's CIDR.
7. [Create an IAM role](https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html) in the account 'A' which delegates accesss to account 'B'. Attach MSK cluster access policy to this role.
8. [Create an IAM role](https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html) in the account 'B' which assumes the role delegated from the account 'A'.
9. Create a new namespace in the EKS cluster and [create a new service account](https://docs.aws.amazon.com/eks/latest/userguide/associate-service-account-role.html) in that namespace with role created in the step 8.
10. All apps created under this namespace with the service account from the step 9 will have MSK cluster access.

With console access to your EKS containers, as in the [EKS example](https://docs.aws.amazon.com/eks/latest/userguide/sample-deployment.html). You can connect, and download the [latest version of Kafka](https://kafka.apache.org/downloads) on the container. It comes with the [kafka CLI](https://kafka.apache.org/quickstart), that you can use for validation. As an example, you can [set-up your config file](#configuring-a-kafka-client-to-use-aws-iam) and use the following command to test topic creation with IAM auth.

```
./kafka-topics.sh --bootstrap-server <borker-name>:9098 --create --topic test-topic --partitions 1 --replication-factor 3   --command-config <config_file>
```
 
## Troubleshooting

### Failure during re-authentication due to session name change (EKS Pod Identity/Other Credential Providers)

Problem: When using AWS credential providers that generate dynamic session names (e.g. EKS Pod Identity) with AWS MSK IAM authentication, the random STS session name generated by these credential providers causes a hard failure during re-authentication. MSK expects the same principal across re-authentication cycles, but when credentials are refreshed with a new session name, the client receives: 
```
Cannot change principals during re-authentication
```
Workaround: Configure a static session name using explicit JAAS configuration:

1. Create a dedicated IAM role for MSK access with appropriate permissions for your use case 
2. Add a trust policy to this role allowing your current role, such as your EKS Pod's assigned role to assume it:

```
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "AWS": "arn:aws:iam::123456789012:role/YourCurrentCredentialProviderRole"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}
```
3. In your Kafka client configuration, explicitly set the sasl.jaas.config:

```
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required \
    awsRoleArn="arn:aws:iam::123456789012:role/MSKAccessRole" \
    awsRoleSessionName="msk-static-session";
```

This forces the IAM client to use a consistent session name across credential refreshes, preventing the principal change error.

### IAMClientCallbackHandler could not be found

A Kafka client configured to use `AWS_MSK_IAM` may see an error that the `IAMClientCallbackHandler` cannot be found:

```
Exception in thread "main" org.apache.kafka.common.config.ConfigException: Invalid value 
software.amazon.msk.auth.iam.IAMClientCallbackHandler for configuration sasl.client.callback.handler.class: 
Class software.amazon.msk.auth.iam.IAMClientCallbackHandler could not be found.
```

That means that this `aws-msk-iam-auth` library is not on the classpath of the Kafka client. Please add the `aws-msk-iam-auth` library 
to the classpath and try again.

### Finding out which identity is being used

You may receive an `Access denied` error and there may be some doubt as to which credential is being exactly used. The 
credential may be sourced from a role ARN, EC2 instance profile, credential profile etc. This may be particularly so
 when cross account access is being attempted. 
 If the client side logging is set to `DEBUG` and the client configuration property includes `awsDebugCreds` set to
  `true`:
 ```properties
sasl.jaas.config=software.amazon.msk.auth.iam.IAMLoginModule required awsDebugCreds=true;
```
the client library will print a debug log of the form:
```
DEBUG The identity of the credentials is {UserId: ARID4JIC6BCC6OK5OFDFGS:test124,Account: 12345678,Arn: arn:aws:sts::12345678:assumed-role/kada/test124} (software.amazon.msk.auth.iam.internals.MSKCredentialProvider)```
```
The log line provides the IAM Account, IAM user id and the ARN of the IAM Principal corresponding to the credential
 being used. 
 The `awsDebugCreds=true` parameter can be combined with any of the other parameters such as `awsRoleArn`,
  `awsRoleSessionName`. 
  
 Please note that the log level should also be set to `DEBUG` for this information to be logged. 
 It is not recommended to run with `awsDebugCreds=true` since it makes an additional remote call.

### Failed Authentication: Too many connects

You may receive an error, indicating that authentication has failed due to `Too many connects`, similar to:
```
 ERROR org.apache.kafka.clients.NetworkClient - [Producer clientId=producer-x] Connection to node 3 (...) failed
 authentication due to: [446c81dc-9ab3-4d4b-b174-4ecd9baa406c]: Too many connects
```

This is a sign that one or more IAM clients are trying to connect to a particular broker too many times per second and
 the broker is protecting itself.

Setting the `reconnect.backoff.ms` to at least `1000` should help clients backoff and retry
connections such that the broker does not need to reject new connections because of the connection rate.

The broker type determines the limit on the rate of new IAM connections per broker. Please note the limit is not about
 the total number of connections per broker but the rate of new IAM connections per
 broker. See the [limits page for MSK][MSKLimits] for the limit on the rate of new IAM connections per broker for
  different broker types.

### Kafka Connect: Unsupported callback type
While using the library from a Kafka Connect client, you may see an error of the form:
```
[Producer clientId=connector-...] Failed authentication with BROKER (An error: (java.security.PrivilegedActionException: javax.security.sasl.SaslException: Exception while evaluating challenge [Caused by javax.security.auth.callback.UnsupportedCallbackException: Unsupported callback type:
```
This most commonly occurs when two different class loaders are used to load different classes used by the library. 
It can happen when the `aws-msk-iam-auth` library is placed on the plugin path for Kafka Connect. Since the 
library is actually used by the Kafka producer and consumer clients and not the Kafka Connect plugin itself, 
it should be placed in a location that is on the classpath but outside the plugin path. This should ensure that Kafka
 Connect's `PluginClassLoader` is not used to load classes for the `aws-msk-iam-auth` library.

### Dependency mismatch
If you are building the library from source using `gradle build` and copying it over to a Kafka client on that or
 another machine, there is a chance that some dependencies may not be available on the Kafka client machine. In that
  case, you could instead generate and use the uber jar that packages all the necessary runtime dependencies by 
  running `gradle shadowJar`.

## Details
This library introduces a new SASL mechanism called `AWS_MSK_IAM`. The `IAMLoginModule` is used to register the
 `IAMSaslClientProvider` as a `Provider` for the `AWS_MSK_IAM` mechanism. The `IAMSaslClientProvider` is used to
 generate a new `IAMSaslClient` every time a new connection to a Kafka broker is opened or an existing connection
  is re-authenticated.

The `IAMSaslClient` is used to perform the actual SASL authentication for a client. It evaluates challenges and creates
 responses that can be used to authenticate a Kafka client to a Kafka broker configured with AWS IAM authentication
 . Its initial response contains an authentication payload that includes a signature generated using the client's
  credentials. The `IAMClientCallbackHandler` is used to extract the client credentials that are then used for
   generating the signature.
 
 The authentication payload and the signature are generated by the `AWS4SignedPayloadGenerator` class based on the
  parameters specified in `AuthenticationRequestParams`. The authentication payload consists of a JSON object:
  
```json
{
    "version" : "2020_10_22",
    "host" : "<broker address>",
    "user-agent": "<user agent string from the client>",
    "action": "kafka-cluster:Connect",
    "x-amz-algorithm" : "<algorithm>",
    "x-amz-credential" : "<clientAWSAccessKeyID>/<date in yyyyMMdd format>/<region>/kafka-cluster/aws4_request",
    "x-amz-date" : "<timestamp in yyyyMMdd'T'HHmmss'Z' format>",
    "x-amz-security-token" : "<clientAWSSessionToken if any>",
    "x-amz-signedheaders" : "host",
    "x-amz-expires" : "<expiration in seconds>",
    "x-amz-signature" : "<AWS SigV4 signature computed by the client>"
}
``` 
## Generating the authentication payload
Please note that all the keys in the authentication payload are in lowercase.

The values of the following keys in the authentication payload are fixed for a client:
*  `"version"` currently always has the value `"2020_10_22"`
* `"user-agent"` is a string passed in by the client library to describe the client. The simplest user agent is `"<name
 of client library>"`. However, more details can be added to the user agent as well `"<name of client library
 /<version of client library>/<os and version>/<version of language>"`

The values of the remaining keys will be generated as part of calculating the signature of the authentication payload
. The signature is calculated by following the rules for generating [presigned urls][PreSigned]. Although, this library
  uses the `AWS4Signer` from the [AWS SDK for Java][AwsSDK] to generate the signature we outline the steps followed
 in calculating the signature and generating the authentication payload from it.
  
 The inputs to this calculation are 
 1. The AWS Credentials that will be used to sign the authentication payload. This has 3 parts: the client `AWSAccessKeyId`,
  the client `AWSSecretyKeyId` and the optional client `SessionToken`.
 1. The hostname of the Kafka broker to which the client wishes to connect.
 1. The AWS region in which the Kafka broker exists.
 1. The timestamp when the connection is being established.
 
The steps in the calculation are:
1. Generate a canonical request based on the inputs.
1. Generate a string to sign based on the canonical request.
1. Calculate the signature based on the string to sign and the inputs.
1. Put it all together in the authentication payload.
 
### Generate a Canonical Request
We start by generating a canonical request with an empty payload based on the inputs.
The canonical request in this case has the following form
```
"GET\n"+
"/\n"+
<CanonicalQueryString>+"\n"+
<CanonicalHeaders>+"\n"+
<SignedHeaders>+"\n"+
<HashedPayload>
```

#### Canonical Query String
`<CanonicalQueryString>` specifies the authentication parameters as URI-encoded query string parameters. We URI-encode
 query parameter names and values  individually. We also sort the parameters in the canonical query string
  alphabetically by key name. The sorting occurs after encoding. 
The `<CanonicalQueryString>` can be calculated by:
```
UriEncode("Action")+"="+UriEncode("kafka-cluster:Connect")+"&"+
UriEncode("X-Amz-Algorithm")+"="+UriEncode("AWS4-HMAC-SHA256") + "&" +
UriEncode("X-Amz-Credential")+"="+UriEncode("<clientAWSAccessKeyID>/<timestamp in yyyyMMdd format>/<AWS region>/kafka-cluster/aws4_request") + "&" +
UriEncode("X-Amz-Date")+"="+UriEncode("<timestamp in yyyyMMdd'T'HHmmss'Z' format>") + "&" +
UriEncode("X-Amz-Expires")+"="+UriEncode("900") + "&" +
UriEncode("X-Amz-Security-Token")+"="+UriEncode("<client Session Token>") + "&" +
UriEncode("X-Amz-SignedHeaders")+"="+UriEncode("host")
```
The exact definition of URIEncode from generating [presigned urls][PreSigned] maybe found [later](#UriEncode).

The query string parameters are in order:
* `"Action"`: Always has the value `"kafka-cluster:Connect"` 
* `"X-Amz-Algorithm"`: Describes the algorithm used to calculate the signature. Currently it is `"AWS4-HMAC-SHA256"`
* `"X-Amz-Credential"`: Contains the access key ID, timestamp in `yyyyMMdd` format, the scope of the credential and
 the constant string `aws4_request`. The scope is defined as the AWS region of the Kafka broker and the name of the 
 service ("kafka-cluster" in this case). For example if the broker is in `us-west-2` region, the scope is `us-west-2/kafka-cluster`.
  This scope will be used again later to calculate the signature in [String To Sign](#string-to-sign) and must 
  match the one  used to calculate the signature. 
* `"X-Amz-Date"`: The date and time format must follow the ISO 8601 standard, and must be formatted with the
 "yyyyMMddTHHmmssZ" format. The date and time must be in UTC.
* `"X-Amz-Expires"` :  Provides the time period, in seconds, for which the generated presigned URL is valid. We
 recommend 900 seconds.
* `"X-Amz-Security-Token"`: The session token if it is specified as part of the AWS Credential. Otherwise this query
 parameter is skipped.
* `"X-Amz-Signedheaders"` is currently always set to `host`.

#### Canonical Header
`<CanonicalHeaders>` is a list of request headers with their values.  Header names must be in lowercase. 
Individual header name and value pairs are separated by the newline character (`"\n"`). In this case there is just one
 header. So `<CanonicalHeaders>` is calculated by:
 ```
"host"+":"+"<broker host name>"+"\n"
```

#### Signed Headers
`<SignedHeaders>` is an alphabetically sorted, semicolon-separated list of lowercase request header names. In this
 case there is just one header. So `<SignedHeaders>` is calculated by:
 ```
"host"
```
#### Hashed Payload
Since the payload is empty the `<HashedPayload>` is calculated as
```
Hex(SHA256Hash(""))
```
where 
* `Hex` is a function to do lowercase base 16 encoding.
* `SHA256Hash` is a Secure Hash Algorithm (SHA) cryptographic hash function.

### String To Sign
From the canonical string, we derive the string that will be used to sign the authentication payload.
The String to Sign is calculated as:
```
"AWS4-HMAC-SHA256" + "\n" +
"<timestamp in yyyyMMdd format>" + "\n" +
<Scope> + "\n" +
Hex(SHA256Hash(<CanonicalRequest>))
```
where 
* `Hex` is a function to do lowercase base 16 encoding.
* `SHA256Hash` is a Secure Hash Algorithm (SHA) cryptographic hash function.

The `<Scope>` is defined as the AWS region of the Kafka broker and the name of the service ("kafka-cluster" in this
 case). For example if the broker is in `us-west-2` region, the scope is `"us-west-2/kafka-cluster"`. It must be the same scope
as was defined for the `"X-Amz-Credential"` query parameter while generating the [canonical query string](#canonical-query-string).

### Calculate Signature
The signature is calculated by:
```
DateKey              = HMAC-SHA256("AWS4"+"<client AWSSecretAccessKey>", "<timestanp in YYYYMMDD>")
DateRegionKey        = HMAC-SHA256(<DateKey>, "<aws-region>")
DateRegionServiceKey = HMAC-SHA256(<DateRegionKey>, "kafka-cluster")
SigningKey           = HMAC-SHA256(<DateRegionServiceKey>, "aws4_request")
Signature            = Hex(HMAC-SHA256(<SigningKey>, <StringToSign>))
```
where
* `Hex` is a function to do lowercase base 16 encoding.
* `HMAC-SHA256` is a function that computes HMAC by using the SHA256 algorithm with the signing key provided.

The `<Signature>` is the final signature.

## Putting it all together
As mentioned earlier, the authentication payload is a json object with certain keys. All the keys are in lower case.
The following keys in the authentication payload json are constant:
* `"version"` 
* `"user-agent"`

All the query parameters calculated earlier are added to the authentication payload json. The keys are lower case
 strings and the values are the ones calculated [earlier](#canonical-query-string) but the values are not uri encoded:
* `"action"`
* `"x-amz-algorithm"`
* `"x-amz-credential"`
* `"x-amz-date"`
* `"x-amz-expires"`
* `"x-amz-security-token"`
* `"x-amz-signedheaders"`

The host header is added to the authentication payload json
* `"host"` and its value is set to the hostname of the broker being connected.

The `<Signature>` calculated in the [previous step](#calculate-signature) is added to the authentication payload json as
* `"x-amz-signature"` and its value is set to`<Signature>`

This finally yields the authentication payload that looks like
```json
{
    "version" : "2020_10_22",
    "host" : "<broker address>",
    "user-agent": "<user agent string from the client>",
    "action": "kafka-cluster:Connect",
    "x-amz-algorithm" : "<algorithm>",
    "x-amz-credential" : "<clientAWSAccessKeyID>/<date in yyyyMMdd format>/<region>/kafka-cluster/aws4_request",
    "x-amz-date" : "<timestamp in yyyyMMdd'T'HHmmss'Z' format>",
    "x-amz-security-token" : "<clientAWSSessionToken if any>",
    "x-amz-signedheaders" : "host",
    "x-amz-expires" : "<expiration in seconds>",
    "x-amz-signature" : "<AWS SigV4 signature computed by the client>"
}
``` 
## Message Exchange with Kafka Broker

This authentication payload is sent as the first message from the client to the Kafka broker. The kafka broker then
 responds with a challenge. We expect a non-empty response from the broker if authentication using AWS IAM succeeded.
The authentication response is a json object that may be logged:

```json
{
  "version" : "2020_10_22",
  "request-id" : "<broker generated request id>"
}
```
The `request-id` which is generated by the broker can be useful for debugging issues with AWS IAM authentication
 between the client and the broker.

### UriEncode
Snipped from the detailed rules for generating [presigned urls][PreSigned].
URI encode every byte. UriEncode() must enforce the following rules:

* URI encode every byte except the unreserved characters: 'A'-'Z', 'a'-'z', '0'-'9', '-', '.', '_', and '~'.
* The space character is a reserved character and must be encoded as "%20" (and not as "+").
* Each URI encoded byte is formed by a '%' and the two-digit hexadecimal value of the byte.
* Letters in the hexadecimal value must be uppercase, for example "%1A".
* Encode the forward slash character, '/', everywhere except in the object key name. For example, if the object key
 name is photos/Jan/sample.jpg, the forward slash in the key name is not encoded.

The following is an example UriEncode() function in Java.

```java
public class UriEncode {
public static String UriEncode(CharSequence input, boolean encodeSlash) {
          StringBuilder result = new StringBuilder();
          for (int i = 0; i < input.length(); i++) {
              char ch = input.charAt(i);
              if ((ch >= 'A' && ch <= 'Z') || (ch >= 'a' && ch <= 'z') || (ch >= '0' && ch <= '9') || ch == '_' || ch == '-' || ch == '~' || ch == '.') {
                  result.append(ch);
              } else if (ch == '/') {
                  result.append(encodeSlash ? "%2F" : ch);
              } else {
                  result.append(toHexUTF8(ch));
              }
          }
          return result.toString();
      } 
}
```
   
## Release Notes

### Release 2.3.6
- Add `awsMskRegionProvider` JAAS config option for custom region resolution via `ConfigurableRegionProvider` interface
- Add built-in `Route53RegionProvider` that resolves regions from DNS TXT records
- Graceful fallback to `DefaultAwsRegionProviderChain` when custom region provider fails or returns null
- Remove unused `DynamicAwsRegionProviderChain` class

### Release 2.3.5
- Upgrade AWS SDK version to address CVE-2025-58056 and CVE-2025-58057
- Updated dependencies to address build issues. It's now recommended to build the package using Gradle 8.0+ and JDK 17+.

### Release 2.3.4
- Skip credential providers chain

### Release 2.3.3
- Upgrade AWS SDK version

### Release 2.3.2
- Fix unreleased file lock issue in Gradle
- Enable FIPS endpoint support

### Release 2.3.1
- Upgrade Jackson Databind version

### Release 2.3.0
- Upgrade AWS SDK version

### Release 2.2.0
- Bug fixes for OAUTHBEARER re-authentication
- Complete upgrade to aws sdk-2
- Remove AWS SDK vulnerabilities.

### Release 2.1.1
- Bug fixes for aws sdk-2

### Release 2.1.0
- Upgrade Jackson Databind version
- Update AWS SDK usages to sdk-2

### Release 2.0.3
- Upgrade AWS SKD version
- Fix SSO OIDC error

### Release 2.0.2
- Add refreshing of credentials before Oauth token generation

### Release 2.0.1
- Enable STS region support to set regional endpoints

### Release 2.0.0
- Add SASL/OAUTHBEARER mechanism with IAM

### Release 1.1.9
- Bug fix to revert backward incompatible change for STS regional endpoint
- Add support for cross-region and cross-account connection to MSK

### Release 1.1.8 (Deprecated)
- Add support for STS regional endpoint
- Update AWS SDK dependencies to the latest to address the security vulnerabilities

### Release 1.1.7
- Add support to pass session credentials to an STS role credential provider
- Add support for external id for role-based authentication

### Release 1.1.6
- Update dependencies to address the following security vulnerability
  * CVE-2022-41915
- Add support for explicit access key and secret in `sasl.jaas.config`

### Release 1.1.5

- Update dependencies to address the following security vulnerabilities.
  * CVE-2022-42003
  * CVE-2022-42004
- Add support for multi-classloader environments, such as Apache Flink ([#36](https://github.com/aws/aws-msk-iam-auth/issues/36))

### Release 1.1.4

- Update dependencies to address the following security vulnerabilities.
  * CVE-2021-37136
  * CVE-2021-37137
  * CVE-2022-24823
  * CVE-2021-43797
  * CVE-2021-38153
  * CVE-2020-36518
- Specifically, build and test against Kafka 2.8.

### Release 1.1.3

- Add retries if loading credential fails with client side errors.
- If AWS STS is not accessible for identifying the credential when `awsDebugCreds=true`, do not fail the connection.
- Update Troubleshooting section in README.

### Release 1.1.2

- Update log4j version in test dependencies to CVE-2021-44832
- Allow users to debug the credentials being used

### Release 1.1.1
* Enable support for STS regional endpoints when configured to assume a role (thanks dvuple@)
* Additional logging to log the classes and classloaders for `IAMClientCallbackHandler` and `AWSCredentialsCallback
` classes.
* README updates to start a section on troubleshooting.
* In the uber jar do not relocate the awsk sdk v2 modules.
* In the uber jar, stop shadowing `slf4j-api`.

### Release 1.1.0
* Add support for credential profiles based on AWS Single Sign-On (SSO).
* Add support for clients using IAM Roles without using credential profiles.
* Bug fix for credential profiles with IAM Roles. 
### Release 1.0.0
* First version of the Amazon MSK Library for IAM Authentication

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

[MSK]: https://aws.amazon.com/msk/
[IAM]: https://aws.amazon.com/iam/
[MSK_IAM]: https://docs.aws.amazon.com/msk/latest/developerguide/iam-access-control.html
[DefaultCreds]: https://docs.aws.amazon.com/sdk-for-java/v1/developer-guide/credentials.html
[CredsFile]: https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html
[PreSigned]: https://docs.aws.amazon.com/AmazonS3/latest/API/sigv4-query-string-auth.html
[AwsSDK]: https://github.com/aws/aws-sdk-java
[RoleProfileCLI]: https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-role.html
[MSKLimits]: https://docs.aws.amazon.com/msk/latest/developerguide/limits.html
[StsVpcE]: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_sts_vpce.html
[PrivateLink]: https://aws.amazon.com/privatelink/?privatelink-blogs.sort-by=item.additionalFields.createdDate&privatelink-blogs.sort-order=desc
[StsRegionalEndpointsDoc]: https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

aws-msk-iam-auth

aws-msk-iam-auth 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

aws-msk-iam-auth

aws-msk-iam-auth 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README