This rule attempts to identify rapid secret retrieval attempts from AWS SecretsManager. Adversaries may attempt to retrieve secrets from the Secrets Manager programmatically using the GetSecretValue or BatchGetSecretValue API actions.

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An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by creating a new set of credentials for an existing user. This rule looks for use of the IAM CreateAccessKey API operation to create new programmatic access keys for another IAM user.

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Detects when an AWS IAM login profile is added to a root user account and is self-assigned. Adversaries, with temporary access to the root account, may add a login profile to the root user account to maintain access even if the original access key is rotated or disabled.

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Identifies when the STS AssumeRoot action is performed by a rare user in AWS. The AssumeRoot action allows users to assume the root member account role, granting elevated but specific permissions based on the task policy specified. Adversaries whom may have compromised user credentials, such as access and secret keys, can use this technique to escalate privileges and gain unauthorized access to AWS resources. This is a New Terms rule that identifies when the STS AssumeRoot action is performed by a user that rarely assumes this role and specific member account.

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Identifies the deletion of an AWS log trail. An adversary may delete trails in an attempt to evade defenses.

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Detects when a single AWS resource is running multiple Describe and List API calls in a 10-second window. This behavior could indicate an actor attempting to discover the AWS infrastructure using compromised credentials or a compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to gain a better understanding of the target's infrastructure.

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Identifies when a single AWS resource is making DescribeInstances API calls in more than 10 regions within a 30-second window. This could indicate a potential threat actor attempting to discover the AWS infrastructure across multiple regions using compromised credentials or a compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to gain a better understanding of the target's infrastructure.

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Identifies a change to an AWS Security Group Configuration. A security group is like a virtual firewall, and modifying configurations may allow unauthorized access. Threat actors may abuse this to establish persistence, exfiltrate data, or pivot in an AWS environment.

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An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by attaching additional permissions to compromised user accounts. This rule looks for use of the IAM AttachUserPolicy API operation to attach the highly permissive AdministratorAccess AWS managed policy to an existing IAM user.

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Detects the creation of an AWS Identity and Access Management (IAM) user initiated by an assumed role on an EC2 instance. Assumed roles allow users or services to temporarily adopt different AWS permissions, but the creation of IAM users through these roles—particularly from within EC2 instances—may indicate a compromised instance. Adversaries might exploit such permissions to establish persistence by creating new IAM users under unauthorized conditions.

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Detects when an AWS Identity and Access Management (IAM) customer-managed policy is attached to a role by an unusual or unauthorized user. Customer-managed policies are policies created and controlled within an AWS account, granting specific permissions to roles or users when attached. This rule identifies potential privilege escalation by flagging cases where a customer-managed policy is attached to a role by an unexpected actor, which could signal unauthorized access or misuse. Attackers may attach policies to roles to expand permissions and elevate their privileges within the AWS environment. This is a New Terms rule that uses the aws.cloudtrail.user_identity.arn and aws.cloudtrail.flattened.request_parameters.roleName fields to check if the combination of the actor ARN and target role name has not been seen in the last 14 days.

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Identifies a high number of failed S3 operations from a single source and account (or anonymous account) within a short timeframe. This activity can be indicative of attempting to cause an increase in billing to an account for excessive random operations, cause resource exhaustion, or enumerating bucket names for discovery.

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Identifies when an SNS topic is subscribed to by an email address of a user who does not typically perform this action. Adversaries may subscribe to an SNS topic to collect sensitive information or exfiltrate data via an external email address.

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Identifies when an AWS Systems Manager (SSM) command document is created by a user who does not typically perform this action. Adversaries may create SSM command documents to execute commands on managed instances, potentially leading to unauthorized access, command and control, data exfiltration and more.

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An adversary with access to a set of compromised credentials may attempt to verify that the credentials are valid and determine what account they are using. This rule looks for the first time an identity has called the STS GetCallerIdentity API operation in the last 15 days, which may be an indicator of compromised credentials. A legitimate user would not need to call this operation as they should know the account they are using.

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Identifies when a service has assumed a role in AWS Security Token Service (STS). Services can assume a role to obtain temporary credentials and access AWS resources. Adversaries can use this technique for credential access and privilege escalation. This is a New Terms rule that identifies when a service assumes a role in AWS Security Token Service (STS) to obtain temporary credentials and access AWS resources. While often legitimate, adversaries may use this technique for unauthorized access, privilege escalation, or lateral movement within an AWS environment.

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Identifies when a user or role has assumed a role in AWS Security Token Service (STS). Users can assume a role to obtain temporary credentials and access AWS resources. Adversaries can use this technique for credential access and privilege escalation. This is a New Terms rule that identifies when a service assumes a role in AWS Security Token Service (STS) to obtain temporary credentials and access AWS resources. While often legitimate, adversaries may use this technique for unauthorized access, privilege escalation, or lateral movement within an AWS environment.

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This rule detects the first time a principal calls AWS Cloudwatch CreateStack or CreateStackSet API. Cloudformation is used to create a single collection of cloud resources called a stack, via a defined template file. An attacker with the appropriate privileges could leverage Cloudformation to create specific resources needed to further exploit the environment. This is a new terms rule that looks for the first instance of this behavior in the last 10 days for a role or IAM user within a particular account.

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Detects the execution of commands or scripts on EC2 instances using AWS Systems Manager (SSM), such as RunShellScript, RunPowerShellScript or custom documents. While legitimate users may employ these commands for management tasks, they can also be exploited by attackers with credentials to establish persistence, install malware, or execute reverse shells for further access to compromised instances. This is a New Terms rule that looks for the first instance of this behavior by the aws.cloudtrail.user_identity.arn field in the last 7 days.

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Identifies the deactivation of a specified multi-factor authentication (MFA) device and removes it from association with the user name for which it was originally enabled. In AWS Identity and Access Management (IAM), a device must be deactivated before it can be deleted.

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Identifies when a user has assumed a role using a new MFA device. Users can assume a role to obtain temporary credentials and access AWS resources using the AssumeRole API of AWS Security Token Service (STS). While a new MFA device is not always indicative of malicious behavior it should be verified as adversaries can use this technique for persistence and privilege escalation.

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Identifies role chaining activity. Role chaining is when you use one assumed role to assume a second role through the AWS CLI or API. While this a recognized functionality in AWS, role chaining can be abused for privilege escalation if the subsequent assumed role provides additional privileges. Role chaining can also be used as a persistence mechanism as each AssumeRole action results in a refreshed session token with a 1 hour maximum duration. This rule looks for role chaining activity happening within a single account, to eliminate false positives produced by common cross-account behavior.

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An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by attaching additional permissions to user groups the compromised user account belongs to. This rule looks for use of the IAM AttachGroupPolicy API operation to attach the highly permissive AdministratorAccess AWS managed policy to an existing IAM user group.

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An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by attaching additional permissions to compromised IAM roles. This rule looks for use of the IAM AttachRolePolicy API operation to attach the highly permissive AdministratorAccess AWS managed policy to an existing IAM role.

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Identifies CopyObject events within an S3 bucket using an AWS KMS key from an external account for encryption. Adversaries with access to a misconfigured S3 bucket and the proper permissions may encrypt objects with an external KMS key to deny their victims access to their own data.

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Identifies when a single AWS resource is making GetServiceQuota API calls for the EC2 service quota L-1216C47A in more than 10 regions within a 30-second window. Quota code L-1216C47A represents on-demand instances which are used by adversaries to deploy malware and mine cryptocurrency. This could indicate a potential threat actor attempting to discover the AWS infrastructure across multiple regions using compromised credentials or a compromised instance.

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Identifies when a federated user logs into the AWS Management Console without using multi-factor authentication (MFA). Federated users are typically given temporary credentials to access AWS services. If a federated user logs into the AWS Management Console without using MFA, it may indicate a security risk, as MFA adds an additional layer of security to the authentication process. This could also indicate the abuse of STS tokens to bypass MFA requirements.

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Identifies potential ransomware note being uploaded to an AWS S3 bucket. This rule detects the PutObject S3 API call with a common ransomware note file extension such as .ransom, or .lock. Adversaries with access to a misconfigured S3 bucket may retrieve, delete, and replace objects with ransom notes to extort victims.

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Identifies AWS EC2 EBS snaphots being shared with another AWS account. EBS virtual disks can be copied into snapshots, which can then be shared with an external AWS account or made public. Adversaries may attempt this in order to copy the snapshot into an environment they control, to access the data.

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Identifies the first occurrence of an AWS Security Token Service (STS) GetFederationToken request made by a user within the last 10 days. The GetFederationToken API call allows users to request temporary security credentials to access AWS resources. Adversaries may use this API to obtain temporary credentials to access resources they would not normally have access to.

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Identifies when a user has updated a SAML provider in AWS. SAML providers are used to enable federated access to the AWS Management Console. This activity could be an indication of an attacker attempting to escalate privileges.

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Identifies when object versioning is suspended for an Amazon S3 bucket. Object versioning allows for multiple versions of an object to exist in the same bucket. This allows for easy recovery of deleted or overwritten objects. When object versioning is suspended for a bucket, it could indicate an adversary's attempt to inhibit system recovery following malicious activity. Additionally, when versioning is suspended, buckets can then be deleted.

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This rule looks for use of the IAM AttachUserPolicy API operation to attach the CompromisedKeyQuarantine or CompromisedKeyQuarantineV2 AWS managed policies to an existing IAM user. This policy denies access to certain actions and is applied by the AWS team in the event that an IAM user's credentials have been compromised or exposed publicly.

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Identifies a successful console login activity by an EC2 instance profile using an assumed role. This is uncommon behavior and could indicate an attacker using compromised credentials to further exploit an environment. An EC2 instance assumes a role using their EC2 ID as the session name. This rule looks for the pattern "i-" which is the beginning pattern for assumed role sessions started by an EC2 instance and a successful ConsoleLogin or GetSigninToken API call.

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Identifies when a new SSH public key is uploaded to an AWS EC2 instance using the EC2 Instance Connect service. This action could indicate an adversary attempting to maintain access to the instance. The rule also detects the SendSerialConsoleSSHPublicKey API action, which could be used for privilege escalation if the serial console is enabled. Monitoring these activities helps ensure unauthorized access attempts are detected and mitigated promptly.

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Identifies the creation of an AWS Roles Anywhere profile. AWS Roles Anywhere is a feature that allows you to use AWS Identity and Access Management (IAM) profiles to manage access to your AWS resources from any location via trusted anchors. This rule detects the creation of a profile that can be assumed from any service. Adversaries may create profiles tied to overly permissive roles to maintain access to AWS resources. Ensure that the profile creation is expected and that the trust policy is configured securely.

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Identifies when an AWS IAM Roles Anywhere Trust Anchor with an external certificate authority is created. AWS Roles Anywhere profiles are legitimate profiles that can be created by administrators to allow access from any location. This rule detects when a trust anchor is created with an external certificate authority that is not managed by AWS Certificate Manager Private Certificate Authority (ACM PCA). Adversaries may accomplish this to maintain persistence in the environment.

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Identifies when an AWS Lambda function policy is updated to allow public invocation. This rule specifically looks for the AddPermission API call with the Principal set to * which allows any AWS account to invoke the Lambda function. Adversaries may abuse this permission to create a backdoor in the Lambda function that allows them to execute arbitrary code.

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Identifies when an Lambda Layer is added to an existing Lambda function. AWS layers are a way to share code and data across multiple functions. By adding a layer to an existing function, an attacker can persist or execute code in the context of the function.

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Identifies an expiration lifecycle configuration added to an S3 bucket. Lifecycle configurations can be used to manage objects in a bucket, including setting expiration policies. This rule detects when a lifecycle configuration is added to an S3 bucket, which could indicate that objects in the bucket will be automatically deleted after a specified period of time. This could be used to evade detection by deleting objects that contain evidence of malicious activity.

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Identifies an AWS S3 bucket policy change to share permissions with an external account. Adversaries may attempt to backdoor an S3 bucket by sharing it with an external account. This can be used to exfiltrate data or to provide access to other adversaries. This rule identifies changes to a bucket policy via the PutBucketPolicy API call where the policy includes an Effect=Allow statement that does not contain the AWS account ID of the bucket owner.

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Detects the first occurrence of a user identity accessing AWS Systems Manager (SSM) SecureString parameters using the GetParameter or GetParameters API actions with credentials in the request parameters. This could indicate that the user is accessing sensitive information. This rule detects when a user accesses a SecureString parameter with the withDecryption parameter set to true. This is a NewTerms rule that detects the first occurrence of a specific AWS ARN accessing SecureString parameters with decryption within the last 10 days.

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An adversary with access to a compromised AWS service such as an EC2 instance, Lambda function, or other service may attempt to leverage the compromised service to access secrets in AWS Secrets Manager. This rule looks for the first time a specific user identity has programmatically retrieved a secret value from Secrets Manager using the GetSecretValue or BatchGetSecretValue actions. This rule assumes that AWS services such as Lambda functions and EC2 instances are setup with IAM role's assigned that have the necessary permissions to access the secrets in Secrets Manager. An adversary with access to a compromised AWS service such as an EC2 instance, Lambda function, or other service would rely on the compromised service's IAM role to access the secrets in Secrets Manager.

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Identifies when a specified inbound (ingress) rule is added or adjusted for a VPC security group in AWS EC2. This rule detects when a security group rule is added that allows traffic from any IP address or from a specific IP address to common remote access ports, such as 22 (SSH) or 3389 (RDP). Adversaries may add these rules to allow remote access to VPC instances from any location, increasing the attack surface and potentially exposing the instances to unauthorized access.

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Identifies the first occurrence of an AWS resource establishing a session via SSM to an EC2 instance. Adversaries may use AWS Systems Manager to establish a session to an EC2 instance to execute commands on the instance. This can be used to gain access to the instance and perform actions such as privilege escalation. This rule helps detect the first occurrence of this activity for a given AWS resource.

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Identifies when the PutBucketReplication operation is used to replicate S3 objects to a bucket in another AWS account. Adversaries may use bucket replication to exfiltrate sensitive data to an environment they control.

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Identifies when server access logging is disabled for an Amazon S3 bucket. Server access logs provide a detailed record of requests made to an S3 bucket. When server access logging is disabled for a bucket, it could indicate an adversary's attempt to impair defenses by disabling logs that contain evidence of malicious activity.

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Identifies the creation or modification of an AWS RDS DB instance to enable public access. DB instances may contain sensitive data that can be abused if shared with unauthorized accounts or made public. Adversaries may enable public access on a DB instance to maintain persistence or evade defenses by bypassing access controls.

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Identifies the modification of an AWS RDS DB instance or cluster to remove the deletionProtection feature. Deletion protection is enabled automatically for instances set up through the console and can be used to protect them from unintentional deletion activity. If disabled an instance or cluster can be deleted, destroying sensitive or critical information. Adversaries with the proper permissions can take advantage of this to set up future deletion events against a compromised environment.

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Identifies the modification of the master password for an AWS RDS DB instance or cluster. DB instances may contain sensitive data that can be abused if accessed by unauthorized actors. Amazon RDS API operations never return the password, so this operation provides a means to regain access if the password is lost. Adversaries with the proper permissions can take advantage of this to evade defenses and gain unauthorized access to a DB instance or cluster to support persistence mechanisms or privilege escalation.

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Identifies an AWS RDS DB snapshot being shared with another AWS account. DB snapshots contain a full backup of an entire DB instance including sensitive data that can be abused if shared with unauthorized accounts or made public. Adversaries may use snapshots to restore a DB Instance in an environment they control as a means of data exfiltration.

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Identifies the deletion of an AWS RDS DB snapshot. Snapshots contain a full backup of an entire DB instance. Unauthorized deletion of snapshots can make it impossible to recover critical or sensitive data. This rule detects deleted snapshots and instances modified so that backupRetentionPeriod is set to 0 which disables automated backups and is functionally similar to deleting the system snapshot.

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An adversary with a set of compromised credentials may attempt to make copies of running or deleted RDS databases in order to evade defense mechanisms or access data. This rule identifies successful attempts to restore a DB instance using the RDS RestoreDBInstanceFromDBSnapshot or RestoreDBInstanceFromS3 API operations.

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A machine learning job detected an unusual error in a CloudTrail message. These can be byproducts of attempted or successful persistence, privilege escalation, defense evasion, discovery, lateral movement, or collection.

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A machine learning job detected a significant spike in the rate of a particular error in the CloudTrail messages. Spikes in error messages may accompany attempts at privilege escalation, lateral movement, or discovery.

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A machine learning job detected an AWS API command that, while not inherently suspicious or abnormal, is being made by a user context that does not normally use the command. This can be the result of compromised credentials or keys as someone uses a valid account to persist, move laterally, or exfiltrate data.

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A machine learning job detected AWS command activity that, while not inherently suspicious or abnormal, is sourcing from a geolocation (city) that is unusual for the command. This can be the result of compromised credentials or keys being used by a threat actor in a different geography than the authorized user(s).

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A machine learning job detected AWS command activity that, while not inherently suspicious or abnormal, is sourcing from a geolocation (country) that is unusual for the command. This can be the result of compromised credentials or keys being used by a threat actor in a different geography than the authorized user(s).

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Identifies the creation of an AWS log trail that specifies the settings for delivery of log data.

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Identifies suspending the recording of AWS API calls and log file delivery for the specified trail. An adversary may suspend trails in an attempt to evade defenses.

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Identifies an update to an AWS log trail setting that specifies the delivery of log files.

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Identifies the deletion of an AWS CloudWatch alarm. An adversary may delete alarms in an attempt to evade defenses.

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Identifies the deletion of a specified AWS CloudWatch log group. When a log group is deleted, all the archived log events associated with the log group are also permanently deleted.

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Identifies the deletion of an AWS CloudWatch log stream, which permanently deletes all associated archived log events with the stream.

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Identifies attempts to delete an AWS Config Service resource. An adversary may tamper with Config services in order to reduce visibility into the security posture of an account and / or its workload instances.

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Identifies an AWS configuration change to stop recording a designated set of resources.

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Identifies the deletion of an Amazon Relational Database Service (RDS) Aurora database cluster, global database cluster, or database instance.

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Identifies the first occurrence of a user identity in AWS using GetPassword for the administrator password of an EC2 instance with an assumed role. Adversaries may use this API call to escalate privileges or move laterally within EC2 instances.

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Identifies disabling of Amazon Elastic Block Store (EBS) encryption by default in the current region. Disabling encryption by default does not change the encryption status of your existing volumes.

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Identifies potential Traffic Mirroring in an Amazon Elastic Compute Cloud (EC2) instance. Traffic Mirroring is an Amazon VPC feature that you can use to copy network traffic from an Elastic network interface. This feature can potentially be abused to exfiltrate sensitive data from unencrypted internal traffic.

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Identifies the creation of an AWS Elastic Compute Cloud (EC2) network access control list (ACL) or an entry in a network ACL with a specified rule number.

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Identifies the deletion of an Amazon Elastic Compute Cloud (EC2) network access control list (ACL) or one of its ingress/egress entries.

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An attempt was made to modify AWS EC2 snapshot attributes. Snapshots are sometimes shared by threat actors in order to exfiltrate bulk data from an EC2 fleet. If the permissions were modified, verify the snapshot was not shared with an unauthorized or unexpected AWS account.

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Identifies an attempt to export an AWS EC2 instance. A virtual machine (VM) export may indicate an attempt to extract or exfiltrate information.

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Detects when an EFS File System or Mount is deleted. An adversary could break any file system using the mount target that is being deleted, which might disrupt instances or applications using those mounts. The mount must be deleted prior to deleting the File System, or the adversary will be unable to delete the File System.

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Identifies when an ElastiCache security group has been created.

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Identifies when an ElastiCache security group has been modified or deleted.

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Identifies when a user has disabled or deleted an EventBridge rule. This activity can result in an unintended loss of visibility in applications or a break in the flow with other AWS services.

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Identifies the deletion of an Amazon GuardDuty detector. Upon deletion, GuardDuty stops monitoring the environment and all existing findings are lost.

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Identifies attempts to modify an AWS IAM Assume Role Policy. An adversary may attempt to modify the AssumeRolePolicy of a misconfigured role in order to gain the privileges of that role.

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Identifies a high number of failed attempts to assume an AWS Identity and Access Management (IAM) role. IAM roles are used to delegate access to users or services. An adversary may attempt to enumerate IAM roles in order to determine if a role exists before attempting to assume or hijack the discovered role.

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Identifies the creation of a group in AWS Identity and Access Management (IAM). Groups specify permissions for multiple users. Any user in a group automatically has the permissions that are assigned to the group.

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Identifies the deletion of a specified AWS Identity and Access Management (IAM) resource group. Deleting a resource group does not delete resources that are members of the group; it only deletes the group structure.

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Identifies AWS IAM password recovery requests. An adversary may attempt to gain unauthorized AWS access by abusing password recovery mechanisms.

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Identifies the addition of a user to a specified group in AWS Identity and Access Management (IAM).

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Identifies attempts to disable or schedule the deletion of an AWS KMS Customer Managed Key (CMK). Deleting an AWS KMS key is destructive and potentially dangerous. It deletes the key material and all metadata associated with the KMS key and is irreversible. After a KMS key is deleted, the data that was encrypted under that KMS key can no longer be decrypted, which means that data becomes unrecoverable.

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Identifies a high number of failed authentication attempts to the AWS management console for the Root user identity. An adversary may attempt to brute force the password for the Root user identity, as it has complete access to all services and resources for the AWS account.

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Identifies a successful login to the AWS Management Console by the Root user.

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Identifies the creation of a new Amazon Relational Database Service (RDS) Aurora DB cluster or global database spread across multiple regions.

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Identifies the creation of an Amazon Relational Database Service (RDS) Aurora database instance.

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Identifies that an Amazon Relational Database Service (RDS) cluster or instance has been stopped.

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Identifies the creation of an Amazon Relational Database Service (RDS) Security group.

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Identifies the deletion of an Amazon Relational Database Service (RDS) Security group.

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Identifies the export of an Amazon Relational Database Service (RDS) Aurora database snapshot.

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Identifies the creation of an Amazon Redshift cluster. Unexpected creation of this cluster by a non-administrative user may indicate a permission or role issue with current users. If unexpected, the resource may not properly be configured and could introduce security vulnerabilities.

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Identifies attempts to login to AWS as the root user without using multi-factor authentication (MFA). Amazon AWS best practices indicate that the root user should be protected by MFA.

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Identifies when a transfer lock was removed from a Route 53 domain. It is recommended to refrain from performing this action unless intending to transfer the domain to a different registrar.

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Identifies when a request has been made to transfer a Route 53 domain to another AWS account.

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Identifies when an AWS Route Table has been created.

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Identifies when an AWS Route Table has been modified or deleted.

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Identifies when a Route53 private hosted zone has been associated with VPC.

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Identifies the deletion of various Amazon Simple Storage Service (S3) bucket configuration components.

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Identifies the suspicious use of GetSessionToken. Tokens could be created and used by attackers to move laterally and escalate privileges.

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Identifies the deletion of one or more flow logs in AWS Elastic Compute Cloud (EC2). An adversary may delete flow logs in an attempt to evade defenses.

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Identifies the deletion of a specified AWS Web Application Firewall (WAF) access control list.

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Identifies the deletion of a specified AWS Web Application Firewall (WAF) rule or rule group.

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Identifies an AWS Amazon Machine Image (AMI) being shared with another AWS account. Adversaries with access may share an AMI with an external AWS account as a means of data exfiltration. AMIs can contain secrets, bash histories, code artifacts, and other sensitive data that adversaries may abuse if shared with unauthorized accounts. AMIs can be made publicly available accidentally as well.

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Identifies when a Route53 Resolver Query Log Configuration is deleted. When a Route53 Resolver query log configuration is deleted, Resolver stops logging DNS queries and responses for the specified configuration. Adversaries may delete query log configurations to evade detection or cover their tracks.

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