SCS-C02 AWS Certified Security - Specialty Questions and Answers

To redesign the edge security to help mitigate the DDoS attack risk in the future, the engineer could do the following:

Move the static content to Amazon S3, and front this with an Amazon CloudFront distribution. This allows the engineer to use a global content delivery network that can cache static content at edge locations and reduce the load on the origin servers.

Use AWS WAF security rules to inspect the inbound traffic. This allows the engineer to use web application firewall rules that can filter malicious requests based on IP addresses, headers, body, or URI strings, and block them before they reach the web servers.

Use Amazon Route 53 to distribute traffic. This allows the engineer to use a scalable and highly available DNS service that can route traffic based on different policies, such as latency, geolocation, or health checks.

The correct answer is D. Enable CloudTrail to monitor data events for read and write operations to S3 buckets.

According to the AWS documentation1, CloudTrail data events are the resource operations performed on or within a resource. These are also known as data plane operations. Data events are often high-volume activities. For example, Amazon S3 object-level API activity (such as GetObject, DeleteObject, and PutObject) is a data event.

By default, trails do not log data events. To record CloudTrail data events, you must explicitly add the supported resources or resource types for which you want to collect activity.For more information, see Logging data events in the Amazon S3 User Guide2.

In this case, the security team wants EventBridge to watch for the s3:PutObjectAcl API invocation logs from CloudTrail.This API uses the acl subresource to set the access control list (ACL) permissions for a new or existing object in an S3 bucket3. This is a data event that affects the S3 object resource type. Therefore, the security team must enable CloudTrail to monitor data events for read and write operations to S3 buckets in order to invoke an EventBridge event for this API call.

The other options are incorrect because:

A. Modifying the EventBridge event pattern by selecting Amazon S3 and All Events as the event type will not capture the s3:PutObjectAcl API call, because this is a data event and not a management event. Management events provide information about management operations that are performed on resources in your AWS account.These are also known as control plane operations4.

B. Modifying the EventBridge event pattern by selecting Amazon S3 and Bucket Level Operations as the event type will not capture the s3:PutObjectAcl API call, because this is a data event that affects the S3 object resource type and not the S3 bucket resource type.Bucket level operations are management events that affect the configuration or metadata of an S3 bucket5.

C. Enabling CloudTrail Insights to identify unusual API activity will not help the security team monitor new S3 objects or changes to any S3 bucket policy or setting that result in public access.CloudTrail Insights helps AWS users identify andrespond to unusual activity associated with API calls and API error rates by continuously analyzing CloudTrail management events6. It does not analyze data events or generate EventBridge events.

Port 3306 (MySQL) must be denied inbound, which is achieved with a deny rule.

For TLS communication (HTTPS), the outbound traffic to TCP port 443 must be allowed.

Inbound responses to outbound connections (from port 443) typically return from ephemeral ports (1024–65535), so these ports must be allowed in the inbound rule.

The correct combination that allows TLS traffic outbound and blocks MySQL inbound is represented in option C, in accordance with Network ACL best practices under Infrastructure Security.

To implement host-based security for Amazon EC2 instances and containers in Amazon ECR with minimal operational overhead and ensure automatic deployment and scanning for new workloads, the recommended solution is to configure a delegated administrator for Amazon Inspector within the AWS Organizations structure. By enabling Amazon Inspector for the organization and configuring it to automatically scan new member accounts, the company can ensure that all EC2 instances and ECR containers are analyzed for software vulnerabilities and unintended network exposure. Amazon Inspector will automatically assess the workloads and push findings to AWS Security Hub, providing centralized security monitoring and compliance checking. This approach ensures that as new accounts orworkloads are added, they are automatically included in the security assessments, maintaining a consistent security posture across the organization with minimal manual intervention.

To set up a CloudFront distribution for an S3 bucket that hosts a static website, and to allow only specified IP addresses to access the website, the following steps are required:

Create a CloudFront origin access identity (OAI), which is a special CloudFront user that you can associate with your distribution. An OAI allows you to restrict access to your S3 content by using signed URLs or signed cookies. For more information, see Using an origin access identity to restrict access to your Amazon S3 content.

Create the S3 bucket policy so that only the OAI has access. This will prevent users from accessing the website directly by using S3 URLs, as they will receive an Access Denied error. To do this, use the AWS Policy Generator to create a bucket policy that grants s3:GetObject permission to the OAI, and attach it to the S3 bucket. For more information, see Restricting access to Amazon S3 content by using an origin access identity.

Create an AWS WAF web ACL and add an IP set rule. AWS WAF is a web application firewall service that lets you control access to your web applications. An IP set is a condition that specifies a list of IP addresses or IP address ranges that requests originate from. You can use an IP set rule to allow or block requests based on the IP addresses of the requesters.For more information, see Working with IP match conditions.

Associate the web ACL with the CloudFront distribution. This will ensure that the web ACL filters all requests for your website before they reach your origin. You can do this by using the AWS WAF console, API, or CLI. For more information, see Associating or disassociating a web ACL with a CloudFront distribution.

This solution will meet the requirements of allowing only specified IP addresses to access the website and preventing direct access by using S3 URLs.

The other options are incorrect because they either do not create a CloudFront distribution for the S3 bucket (A), do not use an OAI to restrict access to the S3 bucket ©, or do not use AWS WAF to block traffic from outside the specified IP addresses (D).

Verified References:

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3.html

https://docs.aws.amazon.com/waf/latest/developerguide/web-acl-ip-conditions.html

The correct answer is C. Create rule sets in AWS CloudFormation Guard. Run validation checks for CloudFormation templates as a phase of the CI/CD process.

This answer is correct because AWS CloudFormation Guard is a tool that helps you implement policy-as-code for your CloudFormation templates. You can use Guard to write rules that define your security policies, such as requiring encryption for EBS volumes, and then validate your templates against those rules before deploying them.You can integrate Guard into your CI/CD pipeline as a step that runs the validation checks and prevents the deploymentof any non-compliant templates12.

The other options are incorrect because:

A. Turning on AWS Trusted Advisor and configuring security notifications as webhooks in the preferences section of the CI/CD pipeline is not a solution, because AWS Trusted Advisor is not a policy-as-code tool, but a service that provides recommendations to help you follow AWS best practices.Trusted Advisor does not allow you to define your own security policies or validate your CloudFormationtemplates against them3.

B. Turning on AWS Config and using the prebuilt or customized rules is not a solution, because AWS Config is not a policy-as-code tool, but a service that monitors and records the configuration changes of your AWS resources.AWS Config does not allow you to validate your CloudFormation templates before deploying them, but onlyevaluates the compliance of your resources after they are created4.

D. Creating rule sets as SCPs and integrating them as a part of validation control in a phase of the CI/CD process is not a solution, because SCPs are not policy-as-code tools, but policies that you can use to manage permissions in your AWS Organizations.SCPs do not allow you to validate your CloudFormation templates, but only restrict the actions that users and roles can perform in your accounts5.

Collect Operating System Logs:

Install the Amazon CloudWatch agent on the bastion hosts to collect logs, including failed login attempts from/var/log/auth.logor equivalent files.

Create a Metric Filter:

Use CloudWatch Logs to create a metric filter for failed login attempts by identifying log patterns (e.g.,Failed password).

Set Up a CloudWatch Alarm:

Define an alarm in CloudWatch to trigger when the metric exceeds a threshold of 5 failed attempts within a 5-minute period.

Configure SNS for Notifications:

Use Amazon SNS to send alerts to system administrators.

Use SNS message filtering to ensure only the designated administrator for the specific bastion host receives the notification.

Monitoring CloudWatch Logs

SNS Message Filtering

This solution ensures that the Lambda functions are deployed inside the VPC and can communicate with the Amazon RDS DB instance securely. The security group attached to the Lambda functions only allows outbound traffic to the VPC CIDR range, and the DB instance security group only allows traffic from the Lambda security group. This solution ensures that the Lambda functions can communicate with the DB instance securely and that the DB instance is not exposed to the public internet.

The correct combination of steps that the security engineer should take to meet these requirements are A. Ensure that the Amazon CloudWatch agent is installed on all the EC2 instances that the Auto Scaling groups launch. Generate a CloudWatch agent configuration file to forward the required logs to Amazon CloudWatch Logs., B. Set the log retention for desired log groups to 7 years., and C. Attach an IAM role to the launch configuration or launch template that the Auto Scaling groups use. Configure the role to provide the necessary permissions to forward logs to Amazon CloudWatch Logs.

A. This answer is correct because it meets the requirement of ensuring that no logging data is lost for each instance during scaling activities. By installing the CloudWatch agent on all the EC2 instances, the security engineer can collect and send system logs and application logs to CloudWatch Logs, which is a service that stores and monitors log data. By generating a CloudWatch agent configuration file, the security engineer can specify which logs to forward and how often.

B. This answer is correct because it meets the requirement of keeping the logs for only the required period of 7 years. By setting the log retention for desired log groups, the security engineer can control how long CloudWatch Logs retains log events before deleting them. The security engineer can choose a predefined retention period of 7 years, or use a custom value.

C. This answer is correct because it meets the requirement of providing the necessary permissions to forward logs to CloudWatch Logs. By attaching an IAM role to the launch configuration or launch template that the Auto Scaling groups use, the security engineer can grant permissions to the EC2 instances that are launched by the Auto Scaling groups. By configuring the role to provide the necessary permissions, such as cloudwatch:PutLogEvents and cloudwatch:CreateLogStream, the security engineer can allow the EC2 instances to send log data to CloudWatch Logs.

 This option suggests updating the outbound network ACL for the subnet in us-east-1b to explicitly deny all connections as the first rule, replacing the security group with a new one that only allows connections from a diagnostics security group, and launching a new EC2 instance with diagnostic tools to investigate the suspicious instance. This option will immediately mitigate the attack and provide the necessary tools for investigation.

Action for Amazon Cognito User Pools:

Update the password policy in the Cognito user pool configuration.

Set the required minimum password length and other password complexity settings as needed.

Navigate toAmazon Cognito>User Pools>Policies, and configure the password requirements.

Action for On-Premises Active Directory:

Update the password policy in the on-premises Active Directory.

Use Group Policy Management to configure the minimum password length.

Apply the updated policy to all relevant organizational units (OUs).

IAM Password Policy:

Note that IAM does not manage Active Directory or Cognito password policies. Instead, focus on federated configurations and user pool settings.

Amazon Cognito User Pool Policies

Active Directory Password Policy

you need to configure the Amazon Inspector agent to use the CVE rule package, which is a set of rules that check for vulnerabilitiesand exposures on your EC2 instances5. You also need to install an additional integration library that enables communication between the Amazon Inspector agent and Security Hub6. Security Hub is a service that provides you with a comprehensive view of your securitystate in AWS and helps you check your environment against security industry standards and best practices7. The other options are either incorrect or incomplete for meeting the requirement.

The correct answer is C. Configure Route 53 Resolver query logging on all relevant VPCs. Send the logs to Amazon CloudWatch Logs. Use CloudWatch Insights to run queries on the source IP address and DNS name.

According to the AWS documentation1, Route 53 Resolver query logging lets you log the DNS queries that Route 53 Resolver handles for your VPCs. You can send the logs to CloudWatch Logs, Amazon S3, or Kinesis Data Firehose. The logs include information such as the following:

The AWS Region where the VPC was created

The ID of the VPC that the query originated from

The IP address of the instance that the query originated from

The instance ID of the resource that the query originated from

The date and time that the query was first made

The DNS name requested (such as prod.example.com)

The DNS record type (such as A or AAAA)

The DNS response code, such as NoError or ServFail

The DNS response data, such as the IP address that is returned in response to the DNS query

You can use CloudWatch Insights to run queries on your log data and analyze the results using graphs and statistics2. You can filter and aggregate the log data based on any field, and use operators and functions to perform calculations and transformations. For example, you can use CloudWatch Insights to find out how many queries were made for a specific domain name, or which instances made the most queries.

Therefore, this solution meets the requirements of logging and querying DNS traffic that goes to the on-premises DNS servers, showing details of the source IP address of the instance from which the query originated, and the DNS name that was requested in Route 53 Resolver.

The other options are incorrect because:

A.Using VPC Traffic Mirroring would not capture the DNS queries that go to the on-premises DNS servers, because Traffic Mirroring only copies network traffic from an elastic network interface of an EC2 instance to a target for analysis3.Traffic Mirroring does not include traffic that goes through a Route 53 Resolver outbound endpoint, which is used to forward queries to on-premises DNS servers4.Therefore, this solution would not meet the requirements.

B.Configuring VPC flow logs on all relevant VPCs would not capture the DNS name that was requested in Route 53 Resolver, because flow logs only record information about the IP traffic going to and from network interfaces in a VPC5. Flow logs do not include any information about the content or payload of a packet, such as a DNS query or response.Therefore, this solution would not meet the requirements.

D.Modifying the Route 53 Resolver rules on the authoritative domains that forward to the on-premises DNS servers would not enable logging of DNS queries, because Resolver rules only specify how to forward queries for specified domain names to your network6. Resolver rules do not have any logging functionality by themselves.Therefore, this solution would not meet the requirements.

The IAM Documentation mentions the following

To determine whether a log file was modified, deleted, or unchanged after CloudTrail delivered it you can use CloudTrail log file integrity validation. This feature is built using industry standard algorithms: SHA-256 for hashing and SHA-256 with RSA for digital signing. This makes it computationally infeasible to modify, delete or forge CloudTrail log files without detection. You can use the IAM CLI to validate the files in the location where CloudTrail delivered them

Validated log files are invaluable in security and forensic investigations. For example, a validated log file enables you to assert positively that the log file itself has not changed, or that particular user credentials performed specific API activity. The CloudTrail log file integrity validation process also lets you know if a log file has been deleted or changed, or assert positively that no log files were delivered to your account during a given period of time.

Options B.C and D is invalid because you need to check for log File Integrity Validation for cloudtrail logs

For more information on Cloudtrail log file validation, please visit the below URL:

http://docs.IAM.amazon.com/IAMcloudtrail/latest/userguide/cloudtrail-log-file-validation-intro.html

The correct answer is: Use CloudTrail Log File Integrity Validation.

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The AWS documentation states that you can deploy the Lambda functions inside the VPC and attach a security group to the Lambda functions. You can then provide outbound rule access to the VPC CIDR range only and update the DB instance security group to allow traffic from the Lambda security group. This method is the most secure way to meet the requirements.

The correct answer is A. Revoke all versions of the signing profile assigned to the developer.

According to the AWS documentation1, AWS Signer is a fully managed code-signing service that helps you ensure the trust and integrity of your code. You can use Signer to sign code artifacts, such as Lambda deployment packages, with code-signing certificates that you control and manage.

A signing profile is a collection of settings that Signer uses to sign your code artifacts. A signing profile includes information such as the following:

The type of signature that you want to create (for example, a code-signing signature).

The signing algorithm that you want Signer to use to sign your code.

The code-signing certificate and its private key that you want Signer to use to sign your code.

You can create multiple versions of a signing profile, each with a different code-signing certificate. You can also revoke a version of a signing profile if you no longer want to use it for signing code artifacts.

In this case, the company wants to ensure that all the code that the developer wrote can no longer be deployed to the Lambda functions. One way to achieve this is to revoke all versions of the signing profile that was assigned to the developer. This will prevent Signer from using that signing profile to sign any new code artifacts, and also invalidate any existing signatures that were created with that signing profile. This way, the company can ensure that only trusted and authorized code can be deployed to the Lambda functions.

The other options are incorrect because:

B. Examining the developer’s IAM roles and removing all permissions that grant access to Signer may not be sufficient to prevent the deployment of the developer’s code. The developer may have already signed some code artifacts with a valid signing profile before leaving the company, and those signatures may still be accepted by Lambda unless the signing profile is revoked.

C. Re-encrypting all source code with a new AWS Key Management Service (AWS KMS) key may not be effective or practical. AWS KMS is a service that lets you create and manage encryption keys for your data. However, Lambda does not require encryption keys for deploying code artifacts, only valid signatures from Signer. Therefore, re-encrypting the source code may not prevent the deployment of the developer’s code if it has already been signed with a valid signing profile. Moreover, re-encrypting all source code may be time-consuming and disruptive for other developers who are working on the same code base.

D. Using Amazon CodeGuru to profile all the code that the Lambda functions use may not help with preventing the deployment of the developer’s code. Amazon CodeGuru is a service that provides intelligent recommendations to improve your code quality and identify an application’s most expensive lines of code. However, CodeGuru does not perform any security checks or validations on your code artifacts, nor does it interact with Signer or Lambda in any way. Therefore, using CodeGuru may not prevent unauthorized or untrusted code from being deployed to the Lambda functions.

The correct answer is D. Attach the CloudWatchAgentServerPolicy AWS managed policy to the EC2 instance role.

According to the AWS documentation1, the CloudWatch agent is a software agent that you can install on your EC2 instances to collect system-level metrics and logs. To use the CloudWatch agent, you need to attach an IAM role or user to the EC2 instance thatgrants permissions for the agent to perform actions on your behalf.The CloudWatchAgentServerPolicy is an AWS managed policy that provides the necessary permissions for the agent to write metrics and logs to CloudWatch2. By attaching this policy to the EC2 instance role, the security engineer can resolve the issue of CloudWatch not receiving the custom application-security logs.

The other options are incorrect for the following reasons:

A.Adding AWS CloudTrail to the trust policy of the EC2 instance is not relevant, because CloudTrail is a service that records API activity in your AWS account, not custom application logs3. Sending the custom logs to CloudTrail instead of CloudWatch would not meet the requirement of forwarding them to CloudWatch.

B.Adding Amazon S3 to the trust policy of the EC2 instance is not necessary, because S3 is a storage service that does not require any trust relationship with EC2 instances4. Configuring the application to write the custom logs to an S3 bucket that CloudWatch can use to ingest the logs would be an alternative solution, but it would be more complex and costly than using the CloudWatch agent directly.

C.Adding Amazon Inspector to the trust policy of theEC2 instance is not helpful, because Inspector is a service that scans EC2 instances for software vulnerabilities and unintended network exposure, not custom application logs5. Using Amazon Inspector instead of the CloudWatch agent would not meet the requirement of forwarding them to CloudWatch.

The correct answer is A, C, and F.

To automate a response for any newly created policies that are overly permissive, the security engineer needs to use a combination of services that can monitor, analyze, remediate, and notify the security incidents.

Option A is correct because creating an AWS Step Functions state machine that checks the resource type in the finding and adds an explicit Deny statement in the trust policy for the IAM role is a valid way to remediate external access. AWS Step Functions is a service that allows you to coordinate multiple AWS services into serverless workflows. You can use Step Functions to invoke AWS Lambda functions, which can modify the IAM policies programmatically. You can also use Step Functions to publish a notification to an Amazon SNS topic, which can send messages to subscribers such as email addresses.

Option B is incorrect because creating an AWS Batch job that forwards any resource type findings to an AWS Lambda function is not a suitable way to automate a response. AWS Batch is a service that enables you to run batch computing workloads on AWS. Batch is designed for large-scale and long-running jobs that can benefit from parallelization and dynamic provisioning of compute resources. Batch is not intended for event-driven and real-time workflows that require immediate response.

Option C is correct because creating an Amazon EventBridge event rule that matches active IAM Access Analyzer findings and invokes AWS Step Functions for resolution is a valid way to monitor and analyze the security incidents. Amazon EventBridge is a serverless event bus service that allows you to connect your applications with data from various sources. EventBridge can use rules to match events and route them to targets for processing. You can use EventBridge to invoke AWS Step Functions state machines from the IAM Access Analyzer findings.

Option D is incorrect because creating an Amazon CloudWatch metric filter that matches active IAM Access Analyzer findings and invokes AWS Batch for resolution is not a suitable way to monitor and analyze the security incidents. Amazon CloudWatch is a service that provides monitoring and observability for your AWS resources and applications. CloudWatch can collect metrics, logs, and events from various sources and perform actions based on alarms or filters. However, CloudWatch cannot directly invoke AWS Batch jobs from the IAM Access Analyzer findings. You would need to use another service such as EventBridge or SNS to trigger the Batch job.

Option E is incorrect because creating an Amazon SQS queue that forwards a notification to the security team that an external principal has been granted access to the specific IAM role and has been blocked is not a valid way to notify the security incidents. Amazon SQS is a fully managed message queue service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS can deliver messages to consumers that poll the queue for messages. However, SQS cannot directlyforward a notification to the security team’s email addresses. You would need to use another service such as SNS or SES to send email notifications.

Option F is correct because creating an Amazon SNS topic for external or cross-account access notices and subscribing the security team’s email addresses to the topic is a valid way to notify the security incidents. Amazon SNS is a fully managed messaging service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SNS can deliver messages to a variety of endpoints, such as email, SMS, or HTTP. You can use SNS to send email notifications to the security team when a critical security finding is detected.

Option B: This option meets the requirements of scanning ECS containers and ECR registries for vulnerabilities, and providing a centralized view of the findings for the audit team. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config conformance packs are a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. Conformance packs can help you manage configuration compliance of your AWS resources at scale by using a common framework and packaging model. You can use prebuilt conformance packs for vulnerability scanning, such as CIS Operating System SecurityConfiguration Benchmarks or Amazon Inspector Rules for Linux Instances1. You can also create custom conformance packs to scan for vulnerabilities in programming language libraries. AWS Config aggregator is a feature that enables you to aggregate configuration and compliance data from multiple accounts and Regions into a single accountand Region2. You can provide access for the audit team to use AWS Config in the account where the aggregator is configured, and view the aggregated data in the AWS Config console or API.

This answer is correct because ensuring that the security groups allow bidirectional communication between the Lambda function and the EC2 instance will resolve the error. The error indicates that the Lambda function cannot connect to the database, which might be due to firewall rules blocking the traffic. By allowing outbound connections from the Lambda function and inbound connections to the EC2 instance, the security engineer can enable the rotation function to access and update the database credentials.

The AWS documentation states that you can create an Amazon EventBridge rule with a pattern that matches Security Hub findings events with high severity. You can then configure the rule to send the findings to a target Amazon Simple Notification Service (Amazon SNS) topic. You can subscribe the desired email addresses to the SNS topic. This method is the least operational overhead way to meet the requirements.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-eni.html#eni-basics Source/destination checking "You must disable source/destination checks if the instance runs services such as network address translation, routing, or firewalls."

The correct answer is C. Disable the Network Source/Destination check on the security appliance’s elastic network interface.

This answer is correct because disabling the Network Source/Destination check allows the virtual security appliance to route traffic that is not addressed to or from itself. By default, this check is enabled on all EC2 instances, and it prevents them from forwarding traffic that does not match their own IP or MAC addresses.However, for a virtual security appliance that acts as a router or a firewall, this check needs to be disabled, otherwise it will drop the traffic that it is supposed to route12.

The other options are incorrect because:

A. Disabling network ACLs is not a solution, because network ACLs are optional layers of security for the subnets in a VPC.They can be used to allow or deny traffic based on IP addresses and ports, but they donot affect the routing behavior of the virtual security appliance3.

B. Configuring the security appliance’s elastic network interface for promiscuous mode is not a solution, because promiscuous mode is a mode for a network interface that causes it to pass all traffic it receives to the CPU, rather than passing only the frames that it is programmed to receive.Promiscuous mode is normally used for packet sniffing or monitoring, but it does not enable the network interface to route traffic4.

D. Placing the security appliance in the public subnet with the internet gateway is not a solution, because it does not address the routing issue of the virtual security appliance.Thesecurity appliance can be placed in either a public or a private subnet, depending on the network design and security requirements, but it still needs to have the Network Source/Destination check disabled to route traffic properly5.

To secure the images to limit their distribution, the company should take the following actions:

Update the S3 bucket policy to restrict access to a CloudFront origin access identity (OAI). This allows the company to use a special CloudFront user that can access objects in their S3 bucket, and prevent anyone else from accessing them directly.

Add a CloudFront geo restriction deny list of countries where the company lacks a license. This allows the company to use a feature that controls access to their content based on the geographic location of their viewers, and block requests from countries where they do not have a distribution license.

Comprehensive Detailed Explanation with all AWS References

To automate response to overly permissive IAM policies:

Step Functions State Machine (A):

Use Step Functions to orchestrate remediation by adding Deny statements to policies.

Publish findings to an SNS topic for notification.

To ensure that all new EBS volumes and EBS snapshots are encrypted at rest and minimize operational overhead, the security engineer should do the following:

Use the AWS Management Console or AWS CLI to enable encryption by default for EBS volumes in each AWS Region where the company operates. This allows the security engineer to automatically encrypt any new EBS volumes and snapshots created from those volumes, without requiring any additional actions from users.

Data stored in Amazon EBS volumes is redundantly stored in multiple physical locations as part of normal operation of those services and at no additional charge. However, Amazon EBS replication is stored within the same availability zone, not across multiple zones; therefore, it is highly recommended that you conduct regular snapshots to Amazon S3 for long-term data durability Option A is invalid because there is no lifecycle policy for EBS volumes Option C is invalid because there is no EBS volume replication Option D is invalid because EBS volume encryption will not ensure business continuity For information on security for Compute Resources, please visit the below URL:https://d1.awsstatic.com/whitepapers/Security/Security_Compute_Services_Whitepaper.pdf

The correct answer is B, D, and F. Designate an AWS account in an organization in AWS Organizations as a delegated administrator for Security Hub. Publish events to Amazon EventBridge from the delegated administrator account, all member accounts, and required Regions that are enabled for Security Hub findings. In each Region, create an Amazon EventBridge rule to deliver findings to an Amazon Kinesis Data Firehose delivery stream. Configure the Kinesis Data Firehose delivery streams to deliver the logs to a single Amazon S3 bucket. Partition the Amazon S3 data. Use AWS Glue to crawl the S3 bucket andbuild the schema. Use Amazon Athena to query the data and create views to flatten nested attributes. Build Amazon QuickSight dashboards that use the Athena views.

According to the AWS documentation, AWS Security Hub is a service that provides you with a comprehensive view of your security state across your AWS accounts, and helps you check your environment against security standards and best practices. You can use Security Hub to aggregate security findings from various sources, such as AWS services, partner products, or your own applications.

To use Security Hub with multiple AWS accounts and Regions, you need to enable AWS Organizations with all features enabled. This allows you to centrally manage your accounts and apply policies across your organization. You can also use Security Hub as a service principal for AWS Organizations, which lets you designate a delegated administrator account for Security Hub. The delegated administrator account can enable Security Hub automatically in all existing and future accounts in your organization, and can view and manage findings from all accounts.

According to the AWS documentation, Amazon EventBridge is a serverless event bus that makes it easy to connect applications using data from your own applications, integrated software as a service (SaaS) applications, and AWS services. You can use EventBridge to create rules that match events from various sources and route them to targets for processing.

To use EventBridge with Security Hub findings, you need to enable Security Hub as an event source in EventBridge. This will allow you to publish events from Security Hub to EventBridge in the same Region. You can then create EventBridge rules that match Security Hub findings based on criteria such as severity, type, or resource. You can also specify targets for your rules, such as Lambda functions, SNS topics, or Kinesis Data Firehose delivery streams.

According to the AWS documentation, Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. You can use Kinesis Data Firehose to transform and enrich your data before delivering it to your destination.

To use Kinesis Data Firehose with Security Hub findings, you need to create a Kinesis Data Firehose delivery stream in each Region where you have enabled Security Hub. You can then configure the delivery stream to receive events from EventBridge as a source, and deliver the logs to a single S3 bucket as a destination. You can also enable data transformation or compression on the delivery stream if needed.

According to the AWS documentation, Amazon S3 is an object storage service that offers scalability, data availability, security, and performance. You can use S3 to store and retrieve any amount of data from anywhere on the web. You can also use S3 features such as lifecycle management, encryption, versioning, and replication to optimize your storage.

To use S3 with Security Hub findings, you need to create an S3 bucket that will store the logs from Kinesis Data Firehose delivery streams. You can then partition the data in the bucket by using prefixes such as account ID or Region. This will improve the performance and cost-effectiveness of querying the data.

According to the AWS documentation, AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. You canuse Glue to crawl your data sources, identify data formats, and suggest schemas and transformations. You can also use Glue Data Catalog as a central metadata repository for your data assets.

To use Glue with Security Hub findings, you need to create a Glue crawler that will crawl the S3 bucket and build the schema for the data. The crawler will create tables in the Glue Data Catalog that you can query using standard SQL.

According to the AWS documentation, Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. You can use Athena with Glue Data Catalog as a metadata store for your tables.

To use Athena with Security Hub findings, you need to create views in Athena that will flatten nested attributes in the data. For example, you can create views that extract fields such as account ID, Region, resource type, resource ID, finding type, finding title, and finding description from the data. You can then query the views using SQL and join them with other tables if needed.

According to the AWS documentation, Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. You can use QuickSight to create and publish interactive dashboards that include machine learning insights. You can also use QuickSight to connect to various data sources, such as Athena, S3, or RDS.

To use QuickSight with Security Hub findings, you need to create QuickSight dashboards that use the Athena views as data sources. You can then visualize and analyze the findings using charts, graphs, maps, or tables. You can also apply filters, calculations, or aggregations to the data. You can then share the dashboards with your users or embed them in your applications.

https://IAM.amazon.com/premiumsupport/knowledge-center/cross-account-access-s3/

The correct answer is B and D. In the dedicated security account, create an Amazon S3 bucket. Configure S3 Object Lock in compliance mode and a retention period of 2 years on the S3 bucket. Set the bucket policy to allow the organization’s member accounts to write to the S3 bucket. Create an AWS CloudTrail trail for the organization. Configure logs to be delivered to the logging Amazon S3 bucket in the dedicated security account.

According to the AWS documentation, AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. CloudTrail provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services.

To use CloudTrail with multiple AWS accounts and regions, you need to enable AWS Organizations with all features enabled. This allows you to centrally manage your accounts and apply policies across your organization. You can also use CloudTrail as a service principal for AWS Organizations, which lets you create an organization trail that applies to all accounts in your organization. An organization trail logs events for all AWS Regions and delivers the log files to an S3 bucket that you specify.

To create an organization trail, you need to use an administrator account, such as the organization’s management account or a delegated administrator account. You can then configure the trail to deliver logs to an S3 bucket in the dedicated security account. Thiswill ensure that all account activity across all member accounts and regions is logged and reported to the security account.

According to the AWS documentation, Amazon S3 is an object storage service that offers scalability, data availability, security, and performance. You can use S3 to store and retrieve any amount of data from anywhere on the web. You can also use S3 features such as lifecycle management, encryption, versioning, and replication to optimize your storage.

To use S3 with CloudTrail logs, you need to create an S3 bucket in the dedicated security account that will store the logs from the organization trail. You can then configure S3 Object Lock on the bucket to prevent objects from being deleted or overwritten for a fixed amount of time or indefinitely. You can also enable compliance mode on the bucket, which prevents any user, including the root user in your account, from deleting or modifying a locked object until it reaches its retention date.

To set a retention period of 2 years on the S3 bucket, you need to create a default retention configuration for the bucket that specifies a retention mode (either governance or compliance) and a retention period (either a number of days or a date). You can then set the bucket policy to allow the organization’s member accounts to write to the S3 bucket. This will ensure that all logs are retained in a secure storage location within the security account for 2 years and no changes or deletions are allowed.

Option A is incorrect because setting the bucket policy to allow the organization’s management account to write to the S3 bucket is not sufficient, as it will not grant access to the other member accounts in the organization.

Option C is incorrect because using an S3 Lifecycle configuration that expires objects after 2 years is not secure, as it will allow users to delete or modify objects before they expire.

Option E is incorrect because using Lambda and Kinesis Data Firehose to forward logs from one S3 bucket to another is not necessary, as CloudTrail can directly deliver logs to an S3 bucket in another account. It also introduces additional operational overhead and complexity.

https://aws.amazon.com/blogs/security/how-to-use-trust-policies-with-iam-roles/

https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_syntax.html#scp-elements-table

To ensure minimal latency and regional availability of secrets, encrypting secrets in us-east-1 with a customer-managed KMS key and then replicating them to us-west-1 for encryption with the same key is the optimal approach. This method leverages customer-managed KMS keys for enhanced control and ensures that secrets are available in both regions, adhering to disaster recovery principles and minimizing latency by using regional endpoints.

Amazon GuardDuty provides intelligent threat detection and continuous monitoring for malicious or unauthorized behavior to protect AWS accounts and workloads. It satisfies the requirement for monitoring endpoints for anomalous network traffic.

AWS Certificate Manager (ACM) simplifies the process of provisioning, managing, and deploying SSL/TLS certificates. Configuring ELB with ACM ensures encryption in transit.

AWS KMS with S3 bucket policy using x-amz-server-side-encryption ensures that S3 objects are encrypted at rest using managed keys. Denying uploads that do not use SSE with a bucket policy enforces encryption at rest.

These three actions together satisfy the stated security requirements with minimal operational overhead.

A bucket policy is a resource-based policy that defines permissions for a specific S3 bucket. It can be used to grant cross-account access to another AWS account or an IAM user or role in another account. A bucket policy can also specify which actions, resources, and conditions are allowed or denied.

A bucket ACL is an access control list that grants basic read or write permissions to predefined groups of users. It cannot be used to grant cross-account access to a specific IAM user or role in another account.

An object ACL is an access control list that grants basic read or write permissions to predefined groups of users for a specific object in an S3 bucket. It cannot be used to grant cross-account access to a specific IAM user or role in another account.

A user policy is an IAM policy that defines permissions for an IAM user or role in the same account. It cannot be used to grant cross-account access to another AWS account or an IAM user or role in another account.

For more information, see Provide cross-account access to objects in Amazon S3 buckets and Example 2: Bucket owner granting cross-account bucket permissions.

The most cost-effective way to correct a typo in a vault lock policy during the 24-hour initiation period is to call theabort-vault-lockoperation. This action stops the vault lock process, allowing the security engineer to correct the policy and re-initiate the vault lock with the corrected policy. This approach avoids the need for data transfer or creating a new vault, thus minimizing costs and operational overhead.

this is a way to configure a Classic Load Balancer with perfect forward secrecy cipher suites. Perfect forward secrecy is a property of encryption protocols that ensures that past and current TLS traffic stays secure even if the certificate private key is leaked. Cipher suites are sets of algorithms that determine how encryption is performed. A custom security policy is a set of cipher suites and protocols that you can select for your load balancer to support. An HTTPS listener is a process that checks for connection requests using encrypted SSL/TLS protocol. By using an HTTPS listener that uses a custom security policy that allows only perfect forward secrecy cipher suites, you can ensure that your Classic Load Balancer meets the requirements. The other options are either invalid or insufficient for configuring a Classic Load Balancer with perfect forward secrecy cipher suites.

The correct answer is D. Import a new third-party certificate into AWS Certificate Manager (ACM). Associate the certificate with the ALB. Install the certificate on the EC2 instances.

This answer is correct because it meets the requirements of complete encryption of the traffic between external users and the application. By importing a third-party certificate into ACM, the security engineer can use it to secure the communication between the ALB and the clients. By installing the same certificate on the EC2 instances, the security engineer can also secure the communication between the ALB and the instances.This way, both the front-end and back-end connections are encrypted withSSL/TLS1.

The other options are incorrect because:

A.Creating a new Amazon-issued certificate in AWS Secrets Manager is not a solution, because AWS Secrets Manager is not a service for issuing certificates, but for storing and managing secrets such as database credentials and API keys2. AWS Secrets Manager does not integrate with ALB or EC2 for certificate deployment.

B.Creating a new Amazon-issued certificate in AWS Certificate Manager (ACM) and exporting it from ACM is not a solution, because ACM does not allow exporting Amazon-issued certificates3.ACM only allows exporting private certificates that are issued by an AWS Private Certificate Authority (CA)4.

C.Importing a new third-party certificate into AWS Identity and Access Management (IAM) is not a solution, because IAM is not a service for managingcertificates, but for controlling access to AWS resources5. IAM does not integrate with ALB or EC2 for certificate deployment.

Comprehensive Detailed Explanation with all AWS References

To enable GuardDuty to monitor Kubernetes-based applications:

Enable Control Plane Logs:

GuardDuty uses control plane logs to detect malicious or unauthorized activity in Amazon EKS.

Enable EKS control plane logs (API, audit, authenticator) and ingest them into CloudWatch.

To enable S3 Cross-Region Replication (CRR) for objects that are encrypted with SSE-KMS, the following steps are required:

Grant the IAM role the kms.Decrypt permission for the key in us-east-1 that encrypts source objects. This will allow the IAM role to decrypt the source objects before replicating them to the destination bucket. The kms.Decrypt permission must be granted in the key policy of the source KMS key or in an IAM policy attached to the IAM role.

Grant the IAM role the kms.Encrypt permission for the key in us-west-2 that encrypts objects that are in the destination S3 bucket. This will allow the IAM role to encrypt the replica objects with the destination KMS key before storing them in the destination bucket. The kms.Encrypt permission must be granted in the key policy of the destination KMS key or in an IAM policy attached to the IAM role.

This solution will remediate the issue of encrypted objects not being replicated to the destination bucket.

The other options are incorrect because they either do not grant the necessary permissions for CRR (A, C, D), or do not use a valid encryption method for CRR (E).

Verified References:

https://docs.aws.amazon.com/AmazonS3/latest/userguide/replication-config-for-kms-objects.html

Use AWS Systems Manager Session Manager:

AWS Systems Manager Session Manager provides a secure way to access Amazon EC2 instances without requiring SSH keys, opening inbound ports, or maintaining bastion hosts.

This complies with the company's requirement of not managing SSH keys or maintaining bastion hosts.

Configure Session Manager Logging to CloudWatch:

In the Systems Manager Console, configure Session Manager to upload session logs to Amazon CloudWatch Logs.

This ensures all session activity logs are recorded and stored securely.

Encrypt Logs in CloudWatch:

Use an AWS Key Management Service (AWS KMS) key to encrypt the logs in CloudWatch Logs. Ensure that the CloudWatch log group is configured to use an encrypted KMS key.

This meets the requirement to encrypt logs.

Monitor Logs for Compliance and Security:

Monitor the CloudWatch Logs to ensure proper access and record all activity for compliance purposes.

AWS Systems Manager Session Manager Documentation

Encrypting CloudWatch Logs with KMS

AWS Best Practices for Accessing EC2 Instances

Understand the Issue:

KMS grants are created using theCreateGrantoperation.

The grant might not propagate immediately for use, leading toAccessDeniedExceptionerrors.

Use Grant Tokens for Immediate Access:

When a grant is created, AWS KMS provides a grant token in the response.

This grant token can be used immediately, even before the grant is fully propagated.

Implement Solution:

Pass the grant token returned byCreateGrantto the users.

Ensure users include the grant token in their requests to encrypt data.

AWS KMS Grant Tokens Documentation

Troubleshooting KMS AccessDenied Errors

The fastest way to identify the federated user who terminated a production Amazon EC2 instance is to filter the IAM CloudTrail event history for the TerminateInstances event and identify the assumed IAM role. Then, review the AssumeRoleWithSAML event call in CloudTrail to identify the corresponding username. This method does not require any additional tools or queries, and it directly links the IAM role with the federated user.

Option A is incorrect because the role session name may not be the same as the federated user name, and it may not be unique or descriptive enough to identify the user.

Option C is incorrect because the IAM Access Advisor tab only shows when a role was last accessed, not by whom or for what purpose. It also does not show the specific time of access, only the date.

Option D is incorrect because using Amazon Athena to run SQL queries on the IAM CloudTrail logs is not the fastest way to identify the federated user, as it requires creating a table schema and running multiple queries. It also assumes that the federation is done using web identity providers, not SAML providers, as indicated by the AssumeRoleWithWebIdentity event. References:

AWS Identity and Access Management

Logging AWS STS API Calls with AWS CloudTrail

[Using Amazon Athena to Query S3 Data for CloudTrail Analysis]

"When you create an Amazon GuardDuty filter, you choose specific filter criteria, name the filter and can enable the auto-archiving of findings that the filter matches. This allows you to further tune GuardDuty to your unique environment, without degrading the ability to identify threats. With auto-archive set, all findings are still generated by GuardDuty, so you have a complete and immutable history of all suspicious activity."

Verify NAT Gateway Configuration (Option A):

Ensure that a NAT gateway exists in each public subnet to allow private subnet instances to access the internet for updates or API calls without exposing them directly.

Modify Private Subnet Route Tables (Option D):

Update the route tables associated with private subnets to route traffic destined for0.0.0.0/0through the NAT gateway in the same Availability Zone.

Advantages:

Network Segmentation: Ensures private subnets route traffic securely through NAT gateways.

Availability: Distributes NAT gateway resources across Availability Zones.

NAT Gateway Documentation

VPC Route Table Documentation

https://d1.awsstatic.com/WWPS/pdf/aws_security_incident_response.pdf

To securely and cost-effectively retain log data archives for several years, the company should do the following:

Archive the data to Amazon S3 Glacier and apply a Vault Lock policy. This allows the company to use a low-cost storage class that is designed for long-term archival of data that is rarely accessed. It also allows the company to enforce compliance controls on their S3 Glacier vault by locking a vault access policy that cannot be changed.

The correct answer is B. Modify the network ACL that is associated with the CIDR range to allow outbound traffic to ephemeral ports.

This answer is correct because network ACLs are stateless, which means that they do not automatically allow return traffic for inbound connections. Therefore, the network ACL that is associated with the CIDR range of the new application must have outbound rules that allow traffic to ephemeral ports, which are the temporary ports used by the vendors’ machines to communicate with the application servers.Ephemeral ports are typically in the range of 1024-655351. If the network ACL does not have such rules, the vendors will not be able to connect to the application.

The other options are incorrect because:

A. Modifying the security group that is associated with the EC2 instances to have the same outbound rules as inbound rules is not a solution, because security groups are stateful, which means that they automatically allow return traffic for inbound connections.Therefore, there is no need to add outbound rules to the security group for the vendors to access the application2.

C. Modifying the inbound rules on the internet gateway to allow the required ports is not a solution, because internet gateways do not have inbound or outbound rules. Internet gateways are VPC components that enable communication between instances in a VPC and the internet.They do not filter traffic based on ports or protocols3.

D. Modifying the network ACL that is associated with the CIDR range to have the same outbound rules as inbound rules is not a solution, because it does not address the issue of ephemeral ports.The outbound rules of the network ACL must matchthe ephemeral port range of the vendors’ machines, not necessarily the inbound rules of the network ACL4.

To resolve the issue of the Lambda function failing to create the report while adhering to the principle of least privilege, follow these steps:

Identify Required Permissions:

Determine the specific AWS Security Hub and Amazon Inspector actions the Lambda function needs to perform.

Common actions include:

securityhub:Get*

securityhub:List*

securityhub:Batch*

securityhub:Describe*

Create a Custom IAM Policy:

In the AWS Management Console, navigate to the IAM service.

Create a new policy with permissions tailored to the Lambda function's needs.

Define the policy to allow the necessary actions on the specific Security Hub resource.

For example:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Action": [

"securityhub:Get*",

"securityhub:List*",

"securityhub:Batch*",

"securityhub:Describe*"

],

"Resource": "arn:aws:securityhub:us-west-2::product/aws/inspector"

}

]

}

This policy grants the Lambda function the necessary read-only permissions to interact with Security Hub and Amazon Inspector.

Attach the Policy to the Lambda Execution Role:

Identify the IAM role associated with your Lambda function.

Attach the newly created custom policy to this role.

This ensures the Lambda function has the required permissions when invoked.

Test the Lambda Function:

Invoke the Lambda function to verify it can successfully create the report without permission errors.

Monitor the function's execution to ensure it operates as expected.

Implement Least Privilege Principle:

Regularly review and adjust the permissions to ensure they remain aligned with the function's requirements.

Remove any unnecessary permissions to minimize security risks.

Defining Lambda function permissions with an execution role: This AWS documentation provides guidance on creating and managing execution roles for Lambda functions, emphasizing the importance of granting least privilege access.

AWS Documentation

Managing permissions in AWS Lambda: This resource offers insights into best practices for managing permissions, including the use of identity-based and resource-based policies to control access to Lambda resources.

AWS Documentation

Grant least privilege access: Part of the AWS Well-Architected Framework, this document discusses the principle of least privilege and provides strategies for implementing it effectively within AWS environments.

AWS Documentation

AWS managed policies for AWS Lambda: This page details the AWS managed policies available for Lambda, which can serve as a starting point for creating custom policies tailored to specific needs.

AWS Documentation

Applying the principles of least privilege in AWS Lambda: This guide explores how to apply the principle of least privilege in AWS Lambda functions, focusing on avoiding granting wildcard permissions in IAM policies.

Orchestra

By following these steps and utilizing the referenced AWS documentation, you can ensure that your Lambda function has the necessary permissions to create the report while adhering to the principle of least privilege.

The correct answer is A. Configure an S3 Lifecycle rule on the S3 bucket to delete objects after 45 days.

The reason is that this is the simplest and most effective way to enforce the data retention policy.According to theAWS documentation1, “To manage your objects so that they are stored cost effectively throughout their lifecycle, configure their Amazon S3 Lifecycle. An S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects.There are two types of actions: Transition actionsand Expiration actions.” The documentation1also states that “Expiration actions define when objects expire. Amazon S3 deletes expired objects on your behalf.” Therefore, by configuring an S3 Lifecycle rule on the S3 bucket to delete objects after 45 days, the security engineer can ensure that the data is removed from the S3 bucket according to the company’s policy.

The other options are incorrect because:

B. Create an AWS Lambda function to check the last-modified date of the S3 objects and delete objects that are older than 45 days. Create an S3 event notification to invoke the Lambda function for each PutObject operation. This option is not optimal because it requires deploying and maintaining a Lambda function, which adds complexity and cost. Moreover, it does not guarantee that the data is deleted exactly after 45 days, since the Lambda function is triggered only when a new object is put into the S3 bucket. If there are no new objects for a long period of time, the Lambda function will not run and the data will not be deleted.

C. Create an AWS Lambda function to check the last-modified date of the S3 objects and delete objects that are older than 45 days. Create an Amazon EventBridge rule to invoke the Lambda function each month. This option is not optimal because it requires deploying and maintaining a Lambda function, which adds complexity and cost. Moreover, it does not guarantee that the data is deleted exactly after 45 days, since the Lambda function is triggered only once a month. If the data is older than 45 days but less than a month, it will not be deleted until the next month.

D. Configure S3 Intelligent-Tiering on the S3 bucket to automatically transition objects to another storage class. This option is not sufficient to enforce the data retention policy, because it does not delete the data from the S3 bucket. It only moves the data to a less expensive storage class based on access patterns.According to the AWS documentation2, “S3 Intelligent-Tiering optimizes storage costs by automatically moving data between two access tiers, frequent access and infrequent access, when access patterns change.” However, this feature does not expire or delete the data after a certain period of time.

Utilizing AWS Config with a custom AWS Config rule (ec2-managedinstance-applications-required) enables detection of EC2 instances lacking the required software across all accounts in an organization. By creating an Amazon EventBridge rule that triggers on AWS Config events, and configuring it to invoke an AWS Lambda function, automated actions can be taken to ensure compliance. The Lambda function can leverage AWS Systems Manager Run Command to install the necessary software on non-compliant instances. This approach ensures continuous compliance and automated remediation, aligning with best practices for cloud security and management.

Amazon S3 is a service that provides scalable, durable, and secure object storage. You can use Amazon S3 to store and retrieve any amount of data from anywhere on the web1

AWS Elastic Load Balancing is a service that distributes incoming application or network traffic across multiple targets, such as EC2 instances, containers, or IP addresses. You can use Elastic Load Balancing to increase the availability and fault tolerance of your applications2

Elastic Load Balancing supports access logging, which captures detailed information about requests sent to your load balancer. Each log contains information such as the time the request was received, the client’s IP address, latencies, request paths, and server responses. You can use access logs to analyze traffic patterns and troubleshoot issues3

You can configure your load balancer to store access logs in an Amazon S3 bucket that you specify. You can also specify the interval for publishing the logs, which can be 5 or 60 minutes. The logs are stored in a hierarchical folder structure by load balancer name, IP address, year, month, day, and time.

Amazon Athena is a service that allows you to analyze data in Amazon S3 using standard SQL. You can use Athena to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to manage and you pay only for the queries that you run.

You can use Athena to search the access logs that are stored in your S3 bucket. You can create a table in Athena that maps to your S3 bucket and then run SQL queries on the table. You can also use the Athena console or API to view and download the query results.

You can also use Athena to create queries for the required metrics, such as the number of requests per cipher or protocol. You can then publish the metrics to Amazon CloudWatch, which is a service that monitors and manages your AWS resources and applications. You can use CloudWatch to collect and track metrics, create alarms, and automate actions based on the state of your resources.

By using this solution, you can meet the requirements of ensuring that all the load balancer logs are centralized and searchable for auditing and that metrics are generated to show which ciphers are in use.

because these are the actions that can improve IAM account root user security. IAM account root user is a user that has complete access to all AWS resources and services in an account. IAM account root user security is a set of best practices that help protect the account root user from unauthorized oraccidental use. Deleting the access keys for the account root user in every account can help prevent programmatic access by the account root user, which reduces the risk of compromise or misuse. Enabling MFA on every account root user in all accounts can help add an extra layer of security for console access by requiring a verification code in addition to a password. Creating a custom IAM policy to limit permissions to required actions for the account root user and attaching the policy to the account root user can help enforce the principle of least privilege and restrict the account root user from performing unnecessary or dangerous actions. The other options are either invalid or ineffective for improving IAM account root user security.

To support answer B, use the referencehttps://d1.IAMstatic.com/whitepapers/IAM-security-whitepaper.pdf

"For example, IAM Config provides a managed IAM Config Rules to ensure that encryption is turned on for all EBS volumes in your account."

Set Up AWS Client VPN:

Deploy a Client VPN endpoint in the region where the VPCs are located.

Authorization Rule:

Configure the VPN endpoint with authorization rules to allow access only to the specific VPC subnets that the consultant needs.

VPC Peering Consideration:

Ensure routing between the peered VPCs is correctly configured to allow traffic from the Client VPN endpoint.

Advantages:

Secure Access: Provides encrypted access to the VPCs.

Granular Control: Restricts access to only required resources.

AWS Client VPN Documentation

Authorization Rules for Client VPN

An Application Load Balancer (ALB) is a type of load balancer that operates at the application layer (layer 7) of the OSI model. It can distribute incoming traffic based on the content of the request, such as the host header, path, or query parameters. An ALB can also terminate TLS connections and decrypt requests from clients before sending them to the targets.

To implement TLS for incoming traffic to the application, the following steps are required:

Create a public ALB in a public subnet and register the EC2 instances as targets in a target group.

Create two listeners for the ALB, one on port 80 for HTTP traffic and one on port 443 for HTTPS traffic.

Create a rule for the listener on port 80 to redirect HTTP requests to HTTPS using the same host, path, and query parameters.

Provision a public TLS certificate in AWS Certificate Manager (ACM) for the domain name of the application. ACM is a service that lets you easily provision, manage, and deploy public and private SSL/TLS certificates for use with AWS services and your internal connected resources.

Attach the certificate to the listener on port 443 and configure the security policy to negotiate secure connections between clients and the ALB.

Configure the security groups for the ALB and the EC2 instances to allow inbound traffic on ports 80 and 443 from the internet and outbound traffic on any port to the EC2 instances.

This solution will meet the requirements of implementing TLS for incoming traffic without impacting performance or requiring end-to-end encryption. The ALB will handle the TLS termination and decryption, while forwarding unencrypted requests to the EC2 instances.

Verified References:

https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html

https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html

https://docs.aws.amazon.com/acm/latest/userguide/acm-overview.html

The correct answer is D. The AWS Config rules have a MaximumExecutionFrequency value of 24 hours.

According to the AWS documentation1, the MaximumExecutionFrequency parameter specifies the maximum frequency with which AWS Config runs evaluations for a rule. For AWS Config managed rules, this value can be one of the following:

One_Hour

Three_Hours

Six_Hours

Twelve_Hours

TwentyFour_Hours

If the rule is triggered by configuration changes, it will still run evaluations when AWS Config delivers the configuration snapshot. However, if the rule is triggered periodically, it will not run evaluations more often than the specified frequency.

In this case, the security engineer enabled four AWS Config managed rules that are triggered periodically. Therefore, these rules will only run evaluations every 24 hours, regardless of when the IAM credential report is generated. This means that the resources will display as noncompliant until the next evaluation cycle, which could take up to 24 hours after the IAM access keys are rotated.

The other options are incorrect because:

A. The IAM credential report can be generated at any time, but it will not affect the compliance status of the resources until the next evaluation cycle of the AWS Config rules.

B. The security engineer was able to invoke the IAM GenerateCredentialReport API operation, which means they have the GenerateCredentialReport permission.This permission is required to generate a credential report that lists all IAM users in an AWS account and their credential status2.

C. The security engineer does not need the GetCredentialReport permission to enable or evaluate AWS Config rules.This permission is required to retrieve a credential report that was previously generated by using the GenerateCredentialReport operation2.

Answer: C

The correct answer is B and E. To troubleshoot the issue, the security engineer should verify that the SQS resource policy does not explicitly deny access to the role used by the instances, and that the role attached to the instances contains policies that allow access to the queue. These actions will ensure that the instances have the necessary permissions to retrieve messages from Amazon SQS, while maintaining the principle of least privilege.

The other options are incorrect because they are either unnecessary or overly permissive. Option A is incorrect because configuring and assigning an MFA device to the role used by the instances is not required to access Amazon SQS. MFA is an optional security feature that adds an extra layer ofprotection on top of the user name and password1. Option C is incorrect because verifying that the access key attached to the role used by the instances is active is not relevant to the issue. Access keys are used to make programmatic requests to AWS services, not to retrieve messages from Amazon SQS2. Option D is incorrect because attaching the AmazonSQSFullAccess managed policy to the role used by the instances is overly permissive and violates the principle of least privilege. This policy grants full access to all Amazon SQS actions and resources, which may expose the instances to unnecessary risks3.

Although you can use a IAM policy to prevent users launching resources in other regions. The best practice is to use SCP when using AWS organizations.https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examples_general.html#example-scp-deny-region

The correct answer is D.

To implement short-term credentials for third-party AWS accounts, you can use IAM roles and trust policies. A trust policy is a policy document that defines who can assume the role. You can specify the AWS account ID of the third-party account as a principal in the trust policy, and use the sts:ExternalId condition key to enhance the security of the role. The sts:ExternalId condition key is a unique identifier that is agreed upon by both parties and included in the AssumeRole request. This way, you can prevent the “confused deputy” problem, where an unauthorized party can use the same role as a legitimate party.

Option A is incorrect because bearer token authentication with OAuth or SAML is not suitable for granting access to AWS accounts and resources. Amazon Cognito and API Gateway are used for building web and mobile applications that require user authentication and authorization.

Option B is incorrect because AWS IAM Identity Center (AWS Single Sign-On) is a service that simplifies the management of access to multiple AWS accounts and cloud applications for your workforce users. It does not support granting access to third-party AWS accounts.

Option C is incorrect because using AWS Secrets Manager to create a random external key is not necessary and adds operational complexity. You can use the sts:ExternalId condition key instead to provide a unique identifier for each external account.

The correct answer is A because it allows the security engineer to add the X-Frame-Options header to the HTTPS responses from the application origin without modifying the origin itself. A Lambda@Edge function is a Lambda function that runs in response to CloudFront events, such as viewer request, origin request, origin response, or viewer response. By configuring the function to runin response to the origin response event, the security engineer can modify the response headers that CloudFront receives from the origin before sending them to the viewer1. The function can include code to add the X-Frame-Options header with the desired value, suchas DENY or SAMEORIGIN, to prevent frame-related cross-site scripting attacks2.

The other options are incorrect because they are either less efficient or less secure than option A. Option B is incorrect because configuring the Lambda@Edge function to run in response to the viewer request event is not optimal, as it adds latency to the request processing and does not modify the response headers that CloudFront receives from the origin. Option C is incorrect because adding X-Frame-Options to custom headers in the origin settings does not affect the response headers that CloudFront sends to the viewer. Custom headers are only used to send additional information to the origin when CloudFront forwards a request3. Option D is incorrect because customizing the EC2 hosted application to add the X-Frame-Options header to the responses requires changing the origin code, which may not be feasible or desirable for the security engineer.

because these are the features that can address the CISO’s concerns about cryptographic wear-out and blast radius. Cryptographic wear-out is a phenomenon that occurs when a key is used too frequently or for too long, which increases the risk of compromise or degradation. Blast radius is a measure of how much damage a compromised key can cause to the encrypted data. S3 uses KMS to generate a unique data key for each individual object, which reduces both cryptographic wear-out and blast radius. The KMS encryption envelope digitally signs the master key during encryption, which prevents cryptographicwear-out by ensuring that only authorized parties can use the master key. The other options are either incorrect or irrelevant for addressing the CISO’s concerns.

the reason why there were no alerts on the sudo commands. Sudo commands are commands that allow a user to execute commands as another user, usually the superuser or root. CloudWatch Logs agent is a software agent that can send log data from an EC2 instance to CloudWatch Logs, a service that monitors and stores log data. The CloudWatch Logs agent needs an IAM instance profile, which is a container for an IAM role that allows applications running on an EC2 instance to make API requests to AWS services. If the IAM instance profile on the EC2 instance was not properly configured to allow the CloudWatch Logs agent to push the logs to CloudWatch, then there would be no alerts on the sudo commands. The other options are either irrelevant or invalid for explaining why there were no alerts on the sudo commands.

The correct answer is C. Update the existing bucket policy in the Amazon S3 console with the new log file prefix, and then update the log file prefix in the CloudTrail console.

According to the AWS documentation1, a bucket policy is a resource-based policy that you can use to grant access permissions to your Amazon S3 bucket and the objects in it. Only the bucket owner can associate a policy with a bucket. The permissions attached to the bucket apply to all of the objects in the bucket that are owned by the bucket owner.

When you create a trail in CloudTrail, you can specify an existing S3 bucket or create a new one to store your log files. CloudTrail automatically creates a bucket policy for your S3 bucket that grants CloudTrail write-only access to deliver log files to your bucket. The bucket policy also grants read-only access to AWS services that you can use to view and analyze your log data, such as Amazon Athena, Amazon CloudWatch Logs, and Amazon QuickSight.

If you want to update the log file prefix for an existing trail, you must also update the existing bucket policy in the S3 console with the new log file prefix. The log file prefix is part of the resource ARN that identifies the objects in your bucket that CloudTrail canaccess. If you don’t update the bucket policy with the new log file prefix, CloudTrail will not be able to deliver log files to your bucket, and you will receive an error message when you try to save the change in the CloudTrail console.

The other options are incorrect because:

A. Creating a new trail with the updated log file prefix, and then deleting the original trail is not necessary and may cause data loss or inconsistency. You can simply update the existing trail and its associated bucket policy with the new log file prefix.

B. Updating the existing bucket policy in the S3 console to allow the Security Engineer’s Principal to perform PutBucketPolicy is not relevant to this issue. The PutBucketPolicy action allows you to create or replace a policy on a bucket, but it does not affect CloudTrail’s ability to deliver log files to your bucket. You still need to update the existing bucket policy with the new log file prefix.

D. Updating the existing bucket policy in the S3 console to allow the Security Engineer’s Principal to perform GetBucketPolicy is not relevant to this issue. The GetBucketPolicy action allows you to retrieve a policy on a bucket, but it does not affect CloudTrail’s ability to deliver log files to your bucket. You still need to update the existing bucket policy with the new log file prefix.

This answer is correct because downloading the updated SAML metadata file from the identity service provider ensures that AWS has the latest information about the identity provider, including the new public key. Updating the file in the AWS identity provider entitydefined in IAM by using the AWS CLI allows AWS to verify the signature of the SAML assertions sent by the identity provider. This solution also minimizes operational overhead because it can be automated with a script or a cron job.

The correct answer is B. Store the API key value in AWS Secrets Manager. In the template, replace all references to the value with {{resolve:secretsmanager:MySecretId:SecretString}}.

This answer is correct because AWS Secrets Manager is a service that helps you protect secrets that are needed to access your applications, services, and IT resources. You can store and manage secrets such as database credentials, API keys, and other sensitive data in Secrets Manager.You can also use Secrets Manager to rotate, manage, and retrieve your secrets throughout their lifecycle1.Secrets Manager integrates with AWS CloudFormation, which allows you to reference secrets fromyour templates using the {{resolve:secretsmanager:…}} syntax2. This way, you can avoid exposing your secrets in plaintext and still use them in your resources.

The other options are incorrect because:

A. Storing the API key value as a SecureString parameter in AWS Systems Manager Parameter Store is not a solution, because AWS CloudFormation does not support references to SecureString parameters.This means that you cannot use the {{resolve:ssm:…}} syntax to retrieve encrypted parameter values from Parameter Store3. You would have to use a custom resource or a Lambda function to decrypt the parameter value, which adds complexity and overhead to your template.

C. Storing the API key value in Amazon DynamoDB is not a solution, because AWS CloudFormation does not support references to DynamoDB items.This means that you cannot use the {{resolve:dynamodb:…}} syntax to retrieve item values fromDynamoDB tables4. You would have to use a custom resource or a Lambda function to query the DynamoDB table, which adds complexity and overhead to your template.

D. Storing the API key value in a new Amazon S3 bucket is not a solution, because AWS CloudFormation does not support references to S3 objects.This means that you cannot use the {{resolve:s3:…}} syntax to retrieve object values from S3 buckets5. You would have to use a custom resource or a Lambda functionto download the object from S3, which adds complexity and overhead to your template.

Q: Which data sources does GuardDuty analyze? GuardDuty analyzes CloudTrail management event logs, CloudTrail S3 data event logs, VPC Flow Logs, DNS query logs, and Amazon EKS audit logs. GuardDuty can also scan EBS volume data for possible malware when GuardDuty Malware Protection is enabled and identifies suspicious behavior indicative of malicious software in EC2 instance or container workloads. The service is optimized to consume large data volumes for near real-time processing of security detections. GuardDuty gives you access to built-in detection techniques developed and optimized for the cloud, which are maintained and continuously improved upon by GuardDuty engineering.

Option A is incorrect since you don't add a user to the IAM Role

Option C is incorrect since you don't assign multiple users to a policy

Option D is incorrect since this is not an ideal approach

An IAM group is used to collectively manage users who need the same set of permissions. By having groups, it becomes easier to manage permissions. So if you change the permissions on the group scale, it will affect all the users in that group

For more information on IAM Groups, just browse to the below URL:

https://docs.IAM.amazon.com/IAM/latest/UserGuide/id_eroups.html

The correct answer is: Use the IAM groups and add users, based upon their role, to different groups and apply the policy to group

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To restrict the contractor’s IAM account access to the EC2 console without providing access to any other AWS services, the security engineer should do the following:

Create an IAM permissions boundary policy that allows EC2 access. This is a policy that defines the maximum permissions that an IAM entity can have.

Associate the contractor’s IAM account with the IAM permissions boundary policy. This means that even if the contractor’s IAM account is assigned additional permissions based on IAM group membership, those permissions are limited by the permissions boundary policy.

https://aws.amazon.com/premiumsupport/knowledge-center/cloudhsm-share-clusters/#:~:text=In%20the%20navigation%20pane%2C%20in,subnet%20ID%20for%20your%20CloudHSM.

To mitigate a credential stuffing attack against a web-based application behind an Application Load Balancer (ALB), creating an AWS WAF web ACL with a custom rule to block requests containing the known malicious user agent string is an effective solution. This approach allows for precise targeting of the attack vector (the user agent string of the device emulator) without impacting legitimate users. AWS WAF provides the capability to inspect HTTP(S) requests and block those that match defined criteria, such as specific strings in the user agent header, thereby preventing malicious requests from reaching the application.

https://awscli.amazonaws.com/v2/documentation/api/latest/reference/kms/import-key-material.html

aws kms import-key-material \

--key-id 1234abcd-12ab-34cd-56ef-1234567890ab \

--encrypted-key-material fileb://EncryptedKeyMaterial.bin \

--import-token fileb://ImportToken.bin \

--expiration-model KEY_MATERIAL_EXPIRES \

--valid-to 2021-09-21T19:00:00Z

The correct answer is A. A customer managed CMK that uses customer provided key material.

A customer managed CMK is a KMS key that you create, own, and manage in your AWS account. You have full control over the key configuration, permissions, rotation, and deletion.You can use a customer managed CMK to encrypt and decrypt data in AWS services that are integrated with AWS KMS, such as Amazon EBS1.

A customer managed CMK can use either AWS provided key material or customer provided key material. AWS provided key material is generated by AWS KMS and never leaves the service unencrypted. Customer provided key material is generated outside of AWS KMS and imported into a customer managed CMK.You can specify an expiration date for the imported key material, after which the CMK becomes unusable until you reimport new key material2.

To meet the criteria of automatically expiring the key material in 90 days, you need to use customer provided key material and set the expiration date accordingly. This way, you can ensure that the data encrypted with the CMK will not be accessible after 90 days unless you reimport new key material and re-encrypt the data.

The other options are incorrect for the following reasons:

B. A customer managed CMK that uses AWS provided key material does not expire automatically. You can enable automatic rotation of the key material every year, but this does not prevent access to the data encrypted with the previous key material.You would need to manually delete the CMK and its backing key material to make the data inaccessible3.

C. An AWS managed CMK is a KMS key that is created, owned, and managed by an AWS service on your behalf. You have limited control over the key configuration, permissions, rotation, and deletion. You cannot use an AWS managed CMK to encrypt data in other AWS services or applications.You also cannot set an expiration date for the key material of an AWS managed CMK4.

D. Operation system-native encryption that uses GnuPG is not a solution that uses AWS KMS. GnuPG is a command line tool that implements the OpenPGP standard for encrypting and signing data. It does not integrate with Amazon EBS or other AWS services.It also does not provide a way toautomatically expire the key material used for encryption5.

GuardDuty can trigger an EventBridge rule upon detecting a suspicious finding (e.g., unusual traffic volume). Using Lambda, the automation can:

Remove the affected instance from the Auto Scaling group to prevent it from being terminated and replaced.

Isolate the instance by applying a restrictive security group.

This approach aligns with AWS incident response best practices, which recommend isolation over termination to preserve forensic data while minimizing disruption to the application.

The correct answer is A. Use IAM Access Analyzer policy generation to generate a policy that allows the CloudFormation script to run and manage the stack. Attach the policy to a new IAM role. Modify the security engineer’s IAM permissions to be able to pass the new role to CloudFormation.

According to the AWS documentation, IAM Access Analyzer is a service that helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, that are shared with an external entity. You can also use IAM Access Analyzer to generate fine-grained policies that grant least privilege access based on access activity and access attempts.

To use IAM Access Analyzer policy generation, you need to enable IAM Access Analyzer in your account or organization. You can then use the IAM console or the AWSCLI to generate a policy for a resource based on its access activity or access attempts. You can review and edit the generated policy before applying it to the resource.

To use IAM Access Analyzer policy generation with CloudFormation, you can follow these steps:

Run the CloudFormation script in a pre-production environment and monitor its access activity or access attempts using IAM Access Analyzer.

Use IAM Access Analyzer policy generation to generate a policy that allows the CloudFormation script to run and manage the stack. The policy will include only the permissions that are necessary for the script to function.

Attach the policy to a new IAM role that has a trust relationship with CloudFormation. This will allow CloudFormation to assume the role and execute the script.

Modify the security engineer’s IAM permissions to be able to pass the new role to CloudFormation. This will allow the security engineer to launch the stack using the role.

Run the CloudFormation script in the production environment using the new role.

This solution will meet the requirements of least privilege and separation of duties, as it will limit the permissions of both CloudFormation and the security engineer to only what is needed for running and managing the stack.

Option B is incorrect because creating an IAM policy that allows ec2:* and rds:* permissions is not following the principle of least privilege, as it will grant more permissions than necessary for running and managing the stack. Moreover, modifying the security engineer’s IAM permissions to be able to assume the new role is not ensuring separation of duties, as it will allow the security engineer to bypass CloudFormation and directly access the resources.

Option C is incorrect because modifying the security engineer’s IAM permissions to be able to run the CloudFormation script is not ensuring separation of duties, as it will allow the security engineer to execute the script without using CloudFormation.

Option D is incorrect because creating an IAM policy that allows ec2:* and rds:* permissions is not following the principle of least privilege, as it will grant more permissions than necessary for running and managing the stack. Using the IAM policy simulator to confirm that the policy allows the AWS API calls that are necessary to build the stack is not sufficient, as it will not generate a fine-grained policy based on access activity or access attempts.

these are the recommended actions to take when you receive an abuse notice fromAWS8. You shouldreview the abuse notice to see what content or activity was reported and detach the internet gateway from the VPC to isolate the affected instances from the internet. You should also remove any rules that allow inbound traffic from 0.0.0.0/0 from the security groups and create a network access control list (NACL) rule to deny all traffic inbound from the internet. You should then delete the compromised instances and any associated resources that you did not create. The other options are either inappropriate or unnecessary for responding to the abuse notice.

Open the AWS Systems Manager console at https://console.aws.amazon.com/systems-manager/. In the navigation pane, choose Session Manager. Choose the Preferences tab, and then choose Edit. Select the check box next to Enable under S3 logging. (Recommended) Select the check box next to Allow only encrypted S3 buckets. With this option turned on, log data is encrypted using the server-side encryption key specified for the bucket. If you don 't want to encrypt the log data that is sent to Amazon S3, clear the check box. You must also clear the check box if encryption isn't allowed on the S3 bucket.

AWS Nitro Enclaves are isolated and hardened virtual machines that run on EC2 instances and provide a secure environment for processing sensitive data. Nitro Enclaves have no persistent storage, interactive access, or external networking, and they can only communicate with the parent instance through a secure local channel. Nitro Enclaves also support cryptographic attestation, which allows verifying the identity and integrity of the enclave and its code. Nitro Enclaves are ideal for implementing data protection solutions such as tokenization, encryption, and key management.

Using Nitro Enclaves for the tokenization component of the application meets the requirements of isolating the sensitive data from other parts of the application, encrypting and storing the credit card numbers securely, and issuing tokens to replace the numbers. Other components of the application will not be able to access or store the credit card numbers, as they are only available within the enclave.

The correct answer is C. Edit the existing trail in the Organizations management account and apply it to the organization.

The reason is that this is the simplest and most effective way to ensure that there is at least one trail configured for all existing accounts and for any account that is created in the future.According to the AWS documentation1, “If you have created an organization in AWS Organizations, you can create a trail that logs all events for all AWS accounts in that organization.This is sometimes called an organization trail.” The documentation1also states that “The management account for the organization can edit an existing trail in their account, and apply it to an organization, making it an organization trail. Organization trails log events for the management account and all member accounts in the organization.” Therefore, by editing the existing trail in the management account and applying it to the organization, the security team can ensure that all accounts are sending CloudTrail logs to a centralized S3 logging bucket.

The other options are incorrect because:

A. Create a new trail and configure it to send CloudTrail logs to Amazon S3. Use Amazon EventBridge to send notification if a trail is deleted or stopped. This option is not sufficient to ensure that there is at least one trail configured for all accounts, because it does not prevent users from deleting or stopping the trail in their accounts. Even if EventBridge sends a notification, the security team would have to manually restore or restart the trail, which is not efficient or scalable.

B. Deploy an AWS Lambda function in every account to check if there is an existing trail and create a new trail, if needed. This option is not optimal because it requires deploying and maintaining a Lambda function in every account, which adds complexity and cost. Moreover, it does not prevent users from deleting or stopping the trail after it is created by the Lambda function.

D. Create an SCP to deny the cloudtrail:Delete and cloudtrail:Stop actions. Apply the SCP to all accounts. This option is not sufficient to ensure that there is at least one trail configured for all accounts, because it does not create or apply a trail in the first place. It only prevents users from deleting or stopping an existing trail, but it does not guarantee that a trail exists in every account.

To receive near-real-time notifications of AWS account root user sign-ins, the most effective solutions involve the use of AWS CloudTrail logs, Amazon CloudWatch Logs, and Amazon EventBridge.

Solution Cinvolves configuring AWS CloudTrail to send logs to Amazon CloudWatch Logs and then setting up a CloudWatch Logs metric filter to detect successful root account logins. When such logins are detected, a CloudWatch alarm can be configured to trigger and notify an Amazon Simple Notification Service (Amazon SNS) topic, which in turn can send notifications to the required endpoints. This solution provides an efficient way to monitor and alert on root account usage without requiring custom parsing or handling of log data.

Solution Euses Amazon EventBridge to monitor for specific AWS API calls, such asSignInevents that indicate a successful root account login. By configuring an EventBridge rule to trigger on these events, notifications can be sent directly to an SNS topic, which then distributes the alerts to the necessary endpoints. This approachleverages native AWS event patterns and provides a streamlined mechanism for detecting and alerting on root account activity.

Both solutions offer automation, scalability, and the ability to integrate with other AWS services, ensuring that stakeholders are promptly alerted to critical security events involving the root user.

The solution to receiving automated email notifications when AWS access keys are detected on code repository sites is to use Amazon EventBridge with Amazon GuardDuty findings. Specifically, creating an EventBridge rule that targets Amazon GuardDuty findings, particularly theUnauthorizedAccess:IAMUser/InstanceCredentialExfiltrationfinding type, allows for the detection of potential unauthorized use or exposure of AWS credentials. When such a finding is detected, EventBridge can then trigger an action to send a notification via Amazon Simple Notification Service (Amazon SNS). By configuring an SNS topic to send emails, stakeholders can be promptly informed of such security incidents. This approach leverages AWS's native security and monitoring services to provide timely alerts with minimal operational overhead, ensuring that the company can respond quickly to potential security breaches involving exposed AWS credentials.

The correct answer is B. Instruct users to run the aws sts get-session-token CLI command and pass the multi-factor authentication --serial-number and --token-code parameters. Use these resulting values to make API/CLI calls.

According to the AWS documentation1, the aws sts get-session-token CLI command returns a set of temporary credentials for an AWS account or IAM user. The credentials consist of an access key ID, a secret access key, and a security token. These credentials are valid for the specified duration only. The session duration for IAM users can be between 15 minutes and 36 hours, with a default of 12 hours.

You can use the --serial-number and --token-code parameters to provide the MFA device serial number and the MFA code from the device. The MFA device must be associated with the user who is making the get-session-token call. If you do not provide these parameters when your IAM user or role has a policy that requires MFA, you will receive an Access Denied error.

The temporary security credentials that are returned by the get-session-token command can then be used to make subsequent API or CLI calls that require MFA authentication. You can use environment variables or a profile in your AWS CLI configuration file to specify the temporary credentials.

Therefore, this solution will resolve the problem of users being unable to perform EC2 commands using the AWS CLI, while still enforcing MFA.

The other options are incorrect because:

A. Changing the value of aws:MultiFactorAuthPresent to true will not work, because this is a condition key that is evaluated by AWS when a request is made. You cannot set this value manually in your policy or request. You must provide valid MFA information to AWS for this condition key to be true.

C. Implementing federated API/CLI access using SAML 2.0 may work, but it requires more operational effort than using the get-session-token command. You would need to configure a SAML identity provider and trust relationship with AWS, and use a custom SAML client to request temporary credentials from AWS STS. This solution may also introduce additional security risks if the identity provider is compromised.

D. Creating a role and enforcing MFA in the role trust policy may work, but it also requires more operational effort than using the get-session-token command. You would need to create a role for each user or group that needs to perform EC2 commands, and specify a trust policy that requires MFA. You would also need to grant the users permission to assume the role, and instruct them to use the sts assume-role command instead of the get-session-token command.

Enable VPC Flow Logs:

VPC flow logs capture details about the network traffic in your VPC, including both accepted and rejected traffic.

Configure the flow logs to capture traffic for the subnet where the affected EC2 instances are located.

Filter Rejected Traffic:

In the flow log configuration, ensure that you capture rejected traffic (log-status = REJECT).

This will provide a record of instances that attempted to communicate on TCP port 2905 and were blocked by the NACL rule.

Analyze Flow Logs:

Search the flow log records for entries where:

destination-port = 2905

log-status = REJECT

This will help identify the specific EC2 instances attempting to communicate on TCP port 2905.

Advantages of Using VPC Flow Logs:

Cost-effective: No additional infrastructure or services are required.

Scalable: Automatically captures traffic across the subnet without manual intervention.

Detailed Logs: Provides granular details about the rejected traffic.

VPC Flow Logs Documentation

Filtering VPC Flow Logs

Comprehensive Detailed Explanation with all AWS References

To ensure encryption for all data in transit between EC2 instances and EBS volumes,TLS encryptionmust be implemented. While EBS volume encryption secures data at rest, the requirement here is to secure datain transit.

TLS Encryption with ACM Certificates:

AWS Certificate Manager (ACM) simplifies the process of deploying TLS encryption by managing certificates.

EC2 instances can use these certificates for secure data transmission to EBS.

To meet the requirement of changing the key material for new files whenever a potential key breach occurs, the most appropriate solution would be to create a new customer managed key, add a key rotation schedule to the key, and invoke the key rotation schedule every time the security team requests a key change.

To allow cross-account access to resources using IAM roles, the following steps are required:

Create a role in the AWS account that contains the resources (the trusting account) and specify the AWS account that contains the IAM user (the trusted account) as a trusted entity in the role’s trust policy. This allows users from the trusted account to assume the role and access resources in the trusting account.

Ensure that the IAM user has permission to assume the role in their own AWS account. This can be done by creating an identity policy that allows the sts:AssumeRole action and attaching it to the IAM user or their group.

Ensure that there are no service control policies (SCPs) in the organization that owns the resources that deny or restrict access to the sts:AssumeRole action or the role itself. SCPs are applied to all accounts in an organization and can override any permissions granted by IAM policies.

Verified References:

https://repost.aws/knowledge-center/cross-account-access-iam

https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_accounts_access.html

https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html

https://aws.amazon.com/blogs/security/automatically-block-suspicious-traffic-with-aws-network-firewall-and-amazon-guardduty/

The best solution to meet the company's requirements of offering an alternative login method while securely protecting player credentials and reducing the burden of password resets is to use Amazon Cognito with user pools. Amazon Cognito provides a fully managed service that facilitates the authentication, authorization, and user management for web and mobile applications. By configuring Amazon Cognito user pools to federate access with third-party Identity Providers (IdPs), such as social media platforms or Google, the company can allow users to sign in through these external IdPs, thereby eliminating the need for traditional username and password logins. This not only enhances user convenience but also offloads the responsibility of managing user credentials and the associated challenges like password resets to Amazon Cognito, thereby reducing the burden on the company's customer service team. Additionally, Amazon Cognito integrates seamlessly with other AWS services and follows best practices for security and compliance, ensuring that the player's credentials are protected.