MITRE ATT&CK® techniques for IaaS

Adversaries may circumvent mechanisms designed to control privilege elevation to gain higher-level permissions. Most modern systems contain native elevation control mechanisms that are intended to limit privileges that a user can perform on a machine. Authorization has to be granted to specific users in order to perform tasks that can be considered of higher risk.[1][2] An adversary can perform several methods to take advantage of built-in control mechanisms in order to escalate privileges on a system.[3][4]

Adversaries may interrupt availability of system and network resources by inhibiting access to accounts utilized by legitimate users. Accounts may be deleted, locked, or manipulated (ex: changed credentials, revoked permissions for SaaS platforms such as Sharepoint) to remove access to accounts.[1] Adversaries may also subsequently log off and/or perform a System Shutdown/Reboot to set malicious changes into place.[2][3]

In Windows, Net utility, Set-LocalUser and Set-ADAccountPassword PowerShell cmdlets may be used by adversaries to modify user accounts. Accounts could also be disabled by Group Policy. In Linux, the passwd utility may be used to change passwords. On ESXi servers, accounts can be removed or modified via esxcli (`system account set`, `system account remove`).

Adversaries who use ransomware or similar attacks may first perform this and other Impact behaviors, such as Data Destruction and Defacement, in order to impede incident response/recovery before completing the Data Encrypted for Impact objective.

Adversaries may attempt to get a listing of valid accounts, usernames, or email addresses on a system or within a compromised environment. This information can help adversaries determine which accounts exist, which can aid in follow-on behavior such as brute-forcing, spear-phishing attacks, or account takeovers (e.g., Valid Accounts).

Adversaries may use several methods to enumerate accounts, including abuse of existing tools, built-in commands, and potential misconfigurations that leak account names and roles or permissions in the targeted environment.

For examples, cloud environments typically provide easily accessible interfaces to obtain user lists.[1][2] On hosts, adversaries can use default PowerShell and other command line functionality to identify accounts. Information about email addresses and accounts may also be extracted by searching an infected system’s files.

Adversaries may manipulate accounts to maintain and/or elevate access to victim systems. Account manipulation may consist of any action that preserves or modifies adversary access to a compromised account, such as modifying credentials or permission groups.[1] These actions could also include account activity designed to subvert security policies, such as performing iterative password updates to bypass password duration policies and preserve the life of compromised credentials.

In order to create or manipulate accounts, the adversary must already have sufficient permissions on systems or the domain. However, account manipulation may also lead to privilege escalation where modifications grant access to additional roles, permissions, or higher-privileged Valid Accounts.

Adversaries may add adversary-controlled credentials to a cloud account to maintain persistent access to victim accounts and instances within the environment.

For example, adversaries may add credentials for Service Principals and Applications in addition to existing legitimate credentials in Azure / Entra ID.[1][2][3] These credentials include both x509 keys and passwords.[1] With sufficient permissions, there are a variety of ways to add credentials including the Azure Portal, Azure command line interface, and Azure or Az PowerShell modules.[4]

In infrastructure-as-a-service (IaaS) environments, after gaining access through Cloud Accounts, adversaries may generate or import their own SSH keys using either the CreateKeyPair or ImportKeyPair API in AWS or the gcloud compute os-login ssh-keys add command in GCP.[5] This allows persistent access to instances within the cloud environment without further usage of the compromised cloud accounts.[6][7]

Adversaries may also use the CreateAccessKey API in AWS or the gcloud iam service-accounts keys create command in GCP to add access keys to an account. Alternatively, they may use the CreateLoginProfile API in AWS to add a password that can be used to log into the AWS Management Console for Cloud Service Dashboard.[8][9] If the target account has different permissions from the requesting account, the adversary may also be able to escalate their privileges in the environment (i.e. Cloud Accounts).[10][11] For example, in Entra ID environments, an adversary with the Application Administrator role can add a new set of credentials to their application's service principal. In doing so the adversary would be able to access the service principal’s roles and permissions, which may be different from those of the Application Administrator.[12]

In AWS environments, adversaries with the appropriate permissions may also use the `sts:GetFederationToken` API call to create a temporary set of credentials to Forge Web Credentials tied to the permissions of the original user account. These temporary credentials may remain valid for the duration of their lifetime even if the original account’s API credentials are deactivated. [13]

In Entra ID environments with the app password feature enabled, adversaries may be able to add an app password to a user account.[14] As app passwords are intended to be used with legacy devices that do not support multi-factor authentication (MFA), adding an app password can allow an adversary to bypass MFA requirements. Additionally, app passwords may remain valid even if the user’s primary password is reset.[15]

An adversary may add additional roles or permissions to an adversary-controlled cloud account to maintain persistent access to a tenant. For example, adversaries may update IAM policies in cloud-based environments or add a new global administrator in Office 365 environments.[1][2][3][4] With sufficient permissions, a compromised account can gain almost unlimited access to data and settings (including the ability to reset the passwords of other admins).[5] [4]

This account modification may immediately follow Create Account or other malicious account activity. Adversaries may also modify existing Valid Accounts that they have compromised. This could lead to privilege escalation, particularly if the roles added allow for lateral movement to additional accounts.

For example, in AWS environments, an adversary with appropriate permissions may be able to use the CreatePolicyVersion API to define a new version of an IAM policy or the AttachUserPolicy API to attach an IAM policy with additional or distinct permissions to a compromised user account.[6]

In some cases, adversaries may add roles to adversary-controlled accounts outside the victim cloud tenant. This allows these external accounts to perform actions inside the victim tenant without requiring the adversary to Create Account or modify a victim-owned account.[7]

Adversaries may use stolen application access tokens to bypass the typical authentication process and access restricted accounts, information, or services on remote systems. These tokens are typically stolen from users or services and used in lieu of login credentials.

Application access tokens are used to make authorized API requests on behalf of a user or service and are commonly used to access resources in cloud, container-based applications, and software-as-a-service (SaaS).[1]

OAuth is one commonly implemented framework that issues tokens to users for access to systems. These frameworks are used collaboratively to verify the user and determine what actions the user is allowed to perform. Once identity is established, the token allows actions to be authorized, without passing the actual credentials of the user. Therefore, compromise of the token can grant the adversary access to resources of other sites through a malicious application.[2]

For example, with a cloud-based email service, once an OAuth access token is granted to a malicious application, it can potentially gain long-term access to features of the user account if a "refresh" token enabling background access is awarded.[3] With an OAuth access token an adversary can use the user-granted REST API to perform functions such as email searching and contact enumeration.[4]

Compromised access tokens may be used as an initial step in compromising other services. For example, if a token grants access to a victim’s primary email, the adversary may be able to extend access to all other services which the target subscribes by triggering forgotten password routines. In AWS and GCP environments, adversaries can trigger a request for a short-lived access token with the privileges of another user account.[5][6] The adversary can then use this token to request data or perform actions the original account could not. If permissions for this feature are misconfigured – for example, by allowing all users to request a token for a particular account - an adversary may be able to gain initial access to a Cloud Account or escalate their privileges.[7]

Direct API access through a token negates the effectiveness of a second authentication factor and may be immune to intuitive countermeasures like changing passwords. For example, in AWS environments, an adversary who compromises a user’s AWS API credentials may be able to use the `sts:GetFederationToken` API call to create a federated user session, which will have the same permissions as the original user but may persist even if the original user credentials are deactivated.[8] Additionally, access abuse over an API channel can be difficult to detect even from the service provider end, as the access can still align well with a legitimate workflow.

Adversaries may target resource intensive features of applications to cause a denial of service (DoS), denying availability to those applications. For example, specific features in web applications may be highly resource intensive. Repeated requests to those features may be able to exhaust system resources and deny access to the application or the server itself.[1]

Adversaries may exploit software vulnerabilities that can cause an application or system to crash and deny availability to users. [1] Some systems may automatically restart critical applications and services when crashes occur, but they can likely be re-exploited to cause a persistent denial of service (DoS) condition.

Adversaries may exploit known or zero-day vulnerabilities to crash applications and/or systems, which may also lead to dependent applications and/or systems to be in a DoS condition. Crashed or restarted applications or systems may also have other effects such as Data Destruction, Firmware Corruption, Service Stop etc. which may further cause a DoS condition and deny availability to critical information, applications and/or systems.

Once established within a system or network, an adversary may use automated techniques for collecting internal data. Methods for performing this technique could include use of a Command and Scripting Interpreter to search for and copy information fitting set criteria such as file type, location, or name at specific time intervals.

In cloud-based environments, adversaries may also use cloud APIs, data pipelines, command line interfaces, or extract, transform, and load (ETL) services to automatically collect data.[1]

This functionality could also be built into remote access tools.

This technique may incorporate use of other techniques such as File and Directory Discovery and Lateral Tool Transfer to identify and move files, as well as Cloud Service Dashboard and Cloud Storage Object Discovery to identify resources in cloud environments.

Adversaries may leverage the network bandwidth resources of co-opted systems to complete resource-intensive tasks, which may impact system and/or hosted service availability.

Adversaries may also use malware that leverages a system's network bandwidth as part of a botnet in order to facilitate Network Denial of Service campaigns and/or to seed malicious torrents.[1] Alternatively, they may engage in proxyjacking by selling use of the victims' network bandwidth and IP address to proxyware services.[2] Finally, they may engage in internet-wide scanning in order to identify additional targets for compromise.[3]

In addition to incurring potential financial costs or availability disruptions, this technique may cause reputational damage if a victim’s bandwidth is used for illegal activities.[2]

Adversaries may use brute force techniques to gain access to accounts when passwords are unknown or when password hashes are obtained.[1] Without knowledge of the password for an account or set of accounts, an adversary may systematically guess the password using a repetitive or iterative mechanism.[2] Brute forcing passwords can take place via interaction with a service that will check the validity of those credentials or offline against previously acquired credential data, such as password hashes.

Brute forcing credentials may take place at various points during a breach. For example, adversaries may attempt to brute force access to Valid Accounts within a victim environment leveraging knowledge gathered from other post-compromise behaviors such as OS Credential Dumping, Account Discovery, or Password Policy Discovery. Adversaries may also combine brute forcing activity with behaviors such as External Remote Services as part of Initial Access.

If an adversary guesses the correct password but fails to login to a compromised account due to location-based conditional access policies, they may change their infrastructure until they match the victim’s location and therefore bypass those policies.[3]

Adversaries may abuse cloud APIs to execute malicious commands. APIs available in cloud environments provide various functionalities and are a feature-rich method for programmatic access to nearly all aspects of a tenant. These APIs may be utilized through various methods such as command line interpreters (CLIs), in-browser Cloud Shells, PowerShell modules like Azure for PowerShell[1], or software developer kits (SDKs) available for languages such as Python.

Cloud API functionality may allow for administrative access across all major services in a tenant such as compute, storage, identity and access management (IAM), networking, and security policies.

With proper permissions (often via use of credentials such as Application Access Token and Web Session Cookie), adversaries may abuse cloud APIs to invoke various functions that execute malicious actions. For example, CLI and PowerShell functionality may be accessed through binaries installed on cloud-hosted or on-premises hosts or accessed through a browser-based cloud shell offered by many cloud platforms (such as AWS, Azure, and GCP). These cloud shells are often a packaged unified environment to use CLI and/or scripting modules hosted as a container in the cloud environment.

Adversaries may attempt to get a listing of cloud accounts. Cloud accounts are those created and configured by an organization for use by users, remote support, services, or for administration of resources within a cloud service provider or SaaS application.

With authenticated access there are several tools that can be used to find accounts. The Get-MsolRoleMember PowerShell cmdlet can be used to obtain account names given a role or permissions group in Office 365.[1][2] The Azure CLI (AZ CLI) also provides an interface to obtain user accounts with authenticated access to a domain. The command az ad user list will list all users within a domain.[3][4]

The AWS command aws iam list-users may be used to obtain a list of users in the current account while aws iam list-roles can obtain IAM roles that have a specified path prefix.[5][6] In GCP, gcloud iam service-accounts list and gcloud projects get-iam-policy may be used to obtain a listing of service accounts and users in a project.[7]

Adversaries may create a cloud account to maintain access to victim systems. With a sufficient level of access, such accounts may be used to establish secondary credentialed access that does not require persistent remote access tools to be deployed on the system.[1][2][3][4][5]

In addition to user accounts, cloud accounts may be associated with services. Cloud providers handle the concept of service accounts in different ways. In Azure, service accounts include service principals and managed identities, which can be linked to various resources such as OAuth applications, serverless functions, and virtual machines in order to grant those resources permissions to perform various activities in the environment.[6] In GCP, service accounts can also be linked to specific resources, as well as be impersonated by other accounts for Temporary Elevated Cloud Access.[7] While AWS has no specific concept of service accounts, resources can be directly granted permission to assume roles.[8][9]

Adversaries may create accounts that only have access to specific cloud services, which can reduce the chance of detection.

Once an adversary has created a cloud account, they can then manipulate that account to ensure persistence and allow access to additional resources - for example, by adding Additional Cloud Credentials or assigning Additional Cloud Roles.

Valid accounts in cloud environments may allow adversaries to perform actions to achieve Initial Access, Persistence, Privilege Escalation, or Defense Evasion. Cloud accounts are those created and configured by an organization for use by users, remote support, services, or for administration of resources within a cloud service provider or SaaS application. Cloud Accounts can exist solely in the cloud; alternatively, they may be hybrid-joined between on-premises systems and the cloud through syncing or federation with other identity sources such as Windows Active Directory.[1][2][3]

Service or user accounts may be targeted by adversaries through Brute Force, Phishing, or various other means to gain access to the environment. Federated or synced accounts may be a pathway for the adversary to affect both on-premises systems and cloud environments - for example, by leveraging shared credentials to log onto Remote Services. High privileged cloud accounts, whether federated, synced, or cloud-only, may also allow pivoting to on-premises environments by leveraging SaaS-based Software Deployment Tools to run commands on hybrid-joined devices.

An adversary may create long lasting Additional Cloud Credentials on a compromised cloud account to maintain persistence in the environment. Such credentials may also be used to bypass security controls such as multi-factor authentication.

Cloud accounts may also be able to assume Temporary Elevated Cloud Access or other privileges through various means within the environment. Misconfigurations in role assignments or role assumption policies may allow an adversary to use these mechanisms to leverage permissions outside the intended scope of the account. Such over privileged accounts may be used to harvest sensitive data from online storage accounts and databases through Cloud API or other methods. For example, in Azure environments, adversaries may target Azure Managed Identities, which allow associated Azure resources to request access tokens. By compromising a resource with an attached Managed Identity, such as an Azure VM, adversaries may be able to Steal Application Access Tokens to move laterally across the cloud environment.[4]

Adversaries may abuse cloud management services to execute commands within virtual machines. Resources such as AWS Systems Manager, Azure RunCommand, and Runbooks allow users to remotely run scripts in virtual machines by leveraging installed virtual machine agents. [1][2]

If an adversary gains administrative access to a cloud environment, they may be able to abuse cloud management services to execute commands in the environment’s virtual machines. Additionally, an adversary that compromises a service provider or delegated administrator account may similarly be able to leverage a Trusted Relationship to execute commands in connected virtual machines.[3]

Adversaries may disable or modify a firewall within a cloud environment to bypass controls that limit access to cloud resources.

Cloud environments typically utilize restrictive security groups and firewall rules that only allow network activity from trusted IP addresses via expected ports and protocols. An adversary with appropriate permissions may introduce new firewall rules or policies to allow access into a victim cloud environment and/or move laterally from the cloud control plane to the data plane.

For example, an adversary may use a script or utility that creates new ingress rules in existing security groups (or creates new security groups entirely) to allow any TCP/IP connectivity to a cloud-hosted instance. They may also remove networking limitations to support traffic associated with malicious activity (such as cryptomining).[1][2]

Adversaries may attempt to find cloud groups and permission settings. The knowledge of cloud permission groups can help adversaries determine the particular roles of users and groups within an environment, as well as which users are associated with a particular group.

With authenticated access there are several tools that can be used to find permissions groups. The Get-MsolRole PowerShell cmdlet can be used to obtain roles and permissions groups for Exchange and Office 365 accounts [1][2].

Azure CLI (AZ CLI) and the Google Cloud Identity Provider API also provide interfaces to obtain permissions groups. The command az ad user get-member-groups will list groups associated to a user account for Azure while the API endpoint GET https://cloudidentity.googleapis.com/v1/groups lists group resources available to a user for Google.[3][4][5] In AWS, the commands `ListRolePolicies` and `ListAttachedRolePolicies` allow users to enumerate the policies attached to a role.[6]

Adversaries may attempt to list ACLs for objects to determine the owner and other accounts with access to the object, for example, via the AWS GetBucketAcl API [7]. Using this information an adversary can target accounts with permissions to a given object or leverage accounts they have already compromised to access the object.

An adversary may attempt to discover infrastructure and resources that are available within an infrastructure-as-a-service (IaaS) environment. This includes compute service resources such as instances, virtual machines, and snapshots as well as resources of other services including the storage and database services.

Cloud providers offer methods such as APIs and commands issued through CLIs to serve information about infrastructure. For example, AWS provides a DescribeInstances API within the Amazon EC2 API that can return information about one or more instances within an account, the ListBuckets API that returns a list of all buckets owned by the authenticated sender of the request, the HeadBucket API to determine a bucket’s existence along with access permissions of the request sender, or the GetPublicAccessBlock API to retrieve access block configuration for a bucket.[1][2][3][4] Similarly, GCP's Cloud SDK CLI provides the gcloud compute instances list command to list all Google Compute Engine instances in a project [5], and Azure's CLI command az vm list lists details of virtual machines.[6] In addition to API commands, adversaries can utilize open source tools to discover cloud storage infrastructure through Wordlist Scanning.[7]

An adversary may enumerate resources using a compromised user's access keys to determine which are available to that user.[8] The discovery of these available resources may help adversaries determine their next steps in the Cloud environment, such as establishing Persistence.[9]An adversary may also use this information to change the configuration to make the bucket publicly accessible, allowing data to be accessed without authentication. Adversaries have also may use infrastructure discovery APIs such as DescribeDBInstances to determine size, owner, permissions, and network ACLs of database resources. [10] Adversaries can use this information to determine the potential value of databases and discover the requirements to access them. Unlike in Cloud Service Discovery, this technique focuses on the discovery of components of the provided services rather than the services themselves.

Adversaries may attempt to access the Cloud Instance Metadata API to collect credentials and other sensitive data.

Most cloud service providers support a Cloud Instance Metadata API which is a service provided to running virtual instances that allows applications to access information about the running virtual instance. Available information generally includes name, security group, and additional metadata including sensitive data such as credentials and UserData scripts that may contain additional secrets. The Instance Metadata API is provided as a convenience to assist in managing applications and is accessible by anyone who can access the instance.[1] A cloud metadata API has been used in at least one high profile compromise.[2]

If adversaries have a presence on the running virtual instance, they may query the Instance Metadata API directly to identify credentials that grant access to additional resources. Additionally, adversaries may exploit a Server-Side Request Forgery (SSRF) vulnerability in a public facing web proxy that allows them to gain access to the sensitive information via a request to the Instance Metadata API.[3]

The de facto standard across cloud service providers is to host the Instance Metadata API at http[:]//169.254.169.254.

Adversaries may acquire credentials from cloud-native secret management solutions such as AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, and Terraform Vault.

Secrets managers support the secure centralized management of passwords, API keys, and other credential material. Where secrets managers are in use, cloud services can dynamically acquire credentials via API requests rather than accessing secrets insecurely stored in plain text files or environment variables.

If an adversary is able to gain sufficient privileges in a cloud environment – for example, by obtaining the credentials of high-privileged Cloud Accounts or compromising a service that has permission to retrieve secrets – they may be able to request secrets from the secrets manager. This can be accomplished via commands such as `get-secret-value` in AWS, `gcloud secrets describe` in GCP, and `az key vault secret show` in Azure.[1][2][3][4][5]

**Note:** this technique is distinct from Cloud Instance Metadata API in that the credentials are being directly requested from the cloud secrets manager, rather than through the medium of the instance metadata API.

An adversary may use a cloud service dashboard GUI with stolen credentials to gain useful information from an operational cloud environment, such as specific services, resources, and features. For example, the GCP Command Center can be used to view all assets, review findings of potential security risks, and run additional queries, such as finding public IP addresses and open ports.[1]

Depending on the configuration of the environment, an adversary may be able to enumerate more information via the graphical dashboard than an API. This also allows the adversary to gain information without manually making any API requests.

An adversary may attempt to enumerate the cloud services running on a system after gaining access. These methods can differ from platform-as-a-service (PaaS), to infrastructure-as-a-service (IaaS), or software-as-a-service (SaaS). Many services exist throughout the various cloud providers and can include Continuous Integration and Continuous Delivery (CI/CD), Lambda Functions, Entra ID, etc. They may also include security services, such as AWS GuardDuty and Microsoft Defender for Cloud, and logging services, such as AWS CloudTrail and Google Cloud Audit Logs.

Adversaries may attempt to discover information about the services enabled throughout the environment. Azure tools and APIs, such as the Microsoft Graph API and Azure Resource Manager API, can enumerate resources and services, including applications, management groups, resources and policy definitions, and their relationships that are accessible by an identity.[1][2]

For example, Stormspotter is an open source tool for enumerating and constructing a graph for Azure resources and services, and Pacu is an open source AWS exploitation framework that supports several methods for discovering cloud services.[3][4]

Adversaries may use the information gained to shape follow-on behaviors, such as targeting data or credentials from enumerated services or evading identified defenses through Disable or Modify Tools or Disable or Modify Cloud Log.

Adversaries may log into accessible cloud services within a compromised environment using Valid Accounts that are synchronized with or federated to on-premises user identities. The adversary may then perform management actions or access cloud-hosted resources as the logged-on user.

Many enterprises federate centrally managed user identities to cloud services, allowing users to login with their domain credentials in order to access the cloud control plane. Similarly, adversaries may connect to available cloud services through the web console or through the cloud command line interface (CLI) (e.g., Cloud API), using commands such as Connect-AZAccount for Azure PowerShell, Connect-MgGraph for Microsoft Graph PowerShell, and gcloud auth login for the Google Cloud CLI.

In some cases, adversaries may be able to authenticate to these services via Application Access Token instead of a username and password.

Adversaries may enumerate objects in cloud storage infrastructure. Adversaries may use this information during automated discovery to shape follow-on behaviors, including requesting all or specific objects from cloud storage. Similar to File and Directory Discovery on a local host, after identifying available storage services (i.e. Cloud Infrastructure Discovery) adversaries may access the contents/objects stored in cloud infrastructure.

Cloud service providers offer APIs allowing users to enumerate objects stored within cloud storage. Examples include ListObjectsV2 in AWS [1] and List Blobs in Azure[2] .

Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries. These interfaces and languages provide ways of interacting with computer systems and are a common feature across many different platforms. Most systems come with some built-in command-line interface and scripting capabilities, for example, macOS and Linux distributions include some flavor of Unix Shell while Windows installations include the Windows Command Shell and PowerShell.

There are also cross-platform interpreters such as Python, as well as those commonly associated with client applications such as JavaScript and Visual Basic.

Adversaries may abuse these technologies in various ways as a means of executing arbitrary commands. Commands and scripts can be embedded in Initial Access payloads delivered to victims as lure documents or as secondary payloads downloaded from an existing C2. Adversaries may also execute commands through interactive terminals/shells, as well as utilize various Remote Services in order to achieve remote Execution.[1][2][3]

Adversaries may leverage the compute resources of co-opted systems to complete resource-intensive tasks, which may impact system and/or hosted service availability.

One common purpose for Compute Hijacking is to validate transactions of cryptocurrency networks and earn virtual currency. Adversaries may consume enough system resources to negatively impact and/or cause affected machines to become unresponsive.[1] Servers and cloud-based systems are common targets because of the high potential for available resources, but user endpoint systems may also be compromised and used for Compute Hijacking and cryptocurrency mining.[2] Containerized environments may also be targeted due to the ease of deployment via exposed APIs and the potential for scaling mining activities by deploying or compromising multiple containers within an environment or cluster.[3][4]

Additionally, some cryptocurrency mining malware identify then kill off processes for competing malware to ensure it’s not competing for resources.[5]

Adversaries may disable or modify conditional access policies to enable persistent access to compromised accounts. Conditional access policies are additional verifications used by identity providers and identity and access management systems to determine whether a user should be granted access to a resource.

For example, in Entra ID, Okta, and JumpCloud, users can be denied access to applications based on their IP address, device enrollment status, and use of multi-factor authentication.[1][2][3] In some cases, identity providers may also support the use of risk-based metrics to deny sign-ins based on a variety of indicators. In AWS and GCP, IAM policies can contain `condition` attributes that verify arbitrary constraints such as the source IP, the date the request was made, and the nature of the resources or regions being requested.[4][5] These measures help to prevent compromised credentials from resulting in unauthorized access to data or resources, as well as limit user permissions to only those required.

By modifying conditional access policies, such as adding additional trusted IP ranges, removing Multi-Factor Authentication requirements, or allowing additional Unused/Unsupported Cloud Regions, adversaries may be able to ensure persistent access to accounts and circumvent defensive measures.

Adversaries may create an account to maintain access to victim systems.[1] With a sufficient level of access, creating such accounts may be used to establish secondary credentialed access that do not require persistent remote access tools to be deployed on the system.

Accounts may be created on the local system or within a domain or cloud tenant. In cloud environments, adversaries may create accounts that only have access to specific services, which can reduce the chance of detection.

An adversary may create a new instance or virtual machine (VM) within the compute service of a cloud account to evade defenses. Creating a new instance may allow an adversary to bypass firewall rules and permissions that exist on instances currently residing within an account. An adversary may Create Snapshot of one or more volumes in an account, create a new instance, mount the snapshots, and then apply a less restrictive security policy to collect Data from Local System or for Remote Data Staging.[1]

Creating a new instance may also allow an adversary to carry out malicious activity within an environment without affecting the execution of current running instances.

An adversary may create a snapshot or data backup within a cloud account to evade defenses. A snapshot is a point-in-time copy of an existing cloud compute component such as a virtual machine (VM), virtual hard drive, or volume. An adversary may leverage permissions to create a snapshot in order to bypass restrictions that prevent access to existing compute service infrastructure, unlike in Revert Cloud Instance where an adversary may revert to a snapshot to evade detection and remove evidence of their presence.

An adversary may Create Cloud Instance, mount one or more created snapshots to that instance, and then apply a policy that allows the adversary access to the created instance, such as a firewall policy that allows them inbound and outbound SSH access.[1]

Adversaries may use credentials obtained from breach dumps of unrelated accounts to gain access to target accounts through credential overlap. Occasionally, large numbers of username and password pairs are dumped online when a website or service is compromised and the user account credentials accessed. The information may be useful to an adversary attempting to compromise accounts by taking advantage of the tendency for users to use the same passwords across personal and business accounts.

Credential stuffing is a risky option because it could cause numerous authentication failures and account lockouts, depending on the organization's login failure policies.

Typically, management services over commonly used ports are used when stuffing credentials. Commonly targeted services include the following:

* SSH (22/TCP) * Telnet (23/TCP) * FTP (21/TCP) * NetBIOS / SMB / Samba (139/TCP & 445/TCP) * LDAP (389/TCP) * Kerberos (88/TCP) * RDP / Terminal Services (3389/TCP) * HTTP/HTTP Management Services (80/TCP & 443/TCP) * MSSQL (1433/TCP) * Oracle (1521/TCP) * MySQL (3306/TCP) * VNC (5900/TCP)

In addition to management services, adversaries may "target single sign-on (SSO) and cloud-based applications utilizing federated authentication protocols," as well as externally facing email applications, such as Office 365.[1]

Adversaries may search local file systems and remote file shares for files containing insecurely stored credentials. These can be files created by users to store their own credentials, shared credential stores for a group of individuals, configuration files containing passwords for a system or service, or source code/binary files containing embedded passwords.

It is possible to extract passwords from backups or saved virtual machines through OS Credential Dumping.[1] Passwords may also be obtained from Group Policy Preferences stored on the Windows Domain Controller.[2]

In cloud and/or containerized environments, authenticated user and service account credentials are often stored in local configuration and credential files.[3] They may also be found as parameters to deployment commands in container logs.[4] In some cases, these files can be copied and reused on another machine or the contents can be read and then used to authenticate without needing to copy any files.[5]

Adversaries may search for common password storage locations to obtain user credentials.[1] Passwords are stored in several places on a system, depending on the operating system or application holding the credentials. There are also specific applications and services that store passwords to make them easier for users to manage and maintain, such as password managers and cloud secrets vaults. Once credentials are obtained, they can be used to perform lateral movement and access restricted information.

Adversaries may destroy data and files on specific systems or in large numbers on a network to interrupt availability to systems, services, and network resources. Data destruction is likely to render stored data irrecoverable by forensic techniques through overwriting files or data on local and remote drives.[1][2][3][4][5][6] Common operating system file deletion commands such as del and rm often only remove pointers to files without wiping the contents of the files themselves, making the files recoverable by proper forensic methodology. This behavior is distinct from Disk Content Wipe and Disk Structure Wipe because individual files are destroyed rather than sections of a storage disk or the disk's logical structure.

Adversaries may attempt to overwrite files and directories with randomly generated data to make it irrecoverable.[4][5] In some cases politically oriented image files have been used to overwrite data.[2][3][4]

To maximize impact on the target organization in operations where network-wide availability interruption is the goal, malware designed for destroying data may have worm-like features to propagate across a network by leveraging additional techniques like Valid Accounts, OS Credential Dumping, and SMB/Windows Admin Shares.[1][2][3][4][6].

In cloud environments, adversaries may leverage access to delete cloud storage objects, machine images, database instances, and other infrastructure crucial to operations to damage an organization or their customers.[7][8] Similarly, they may delete virtual machines from on-prem virtualized environments.

Adversaries may encrypt data on target systems or on large numbers of systems in a network to interrupt availability to system and network resources. They can attempt to render stored data inaccessible by encrypting files or data on local and remote drives and withholding access to a decryption key. This may be done in order to extract monetary compensation from a victim in exchange for decryption or a decryption key (ransomware) or to render data permanently inaccessible in cases where the key is not saved or transmitted.[1][2][3][4]

In the case of ransomware, it is typical that common user files like Office documents, PDFs, images, videos, audio, text, and source code files will be encrypted (and often renamed and/or tagged with specific file markers). Adversaries may need to first employ other behaviors, such as File and Directory Permissions Modification or System Shutdown/Reboot, in order to unlock and/or gain access to manipulate these files.[5] In some cases, adversaries may encrypt critical system files, disk partitions, and the MBR.[3] Adversaries may also encrypt virtual machines hosted on ESXi or other hypervisors.[6]

To maximize impact on the target organization, malware designed for encrypting data may have worm-like features to propagate across a network by leveraging other attack techniques like Valid Accounts, OS Credential Dumping, and SMB/Windows Admin Shares.[2][3] Encryption malware may also leverage Internal Defacement, such as changing victim wallpapers or ESXi server login messages, or otherwise intimidate victims by sending ransom notes or other messages to connected printers (known as "print bombing").[7][8]

In cloud environments, storage objects within compromised accounts may also be encrypted.[9] For example, in AWS environments, adversaries may leverage services such as AWS’s Server-Side Encryption with Customer Provided Keys (SSE-C) to encrypt data.[10]

Adversaries may stage collected data in a central location or directory prior to Exfiltration. Data may be kept in separate files or combined into one file through techniques such as Archive Collected Data. Interactive command shells may be used, and common functionality within cmd and bash may be used to copy data into a staging location.[1]

In cloud environments, adversaries may stage data within a particular instance or virtual machine before exfiltration. An adversary may Create Cloud Instance and stage data in that instance.[2]

Adversaries may choose to stage data from a victim network in a centralized location prior to Exfiltration to minimize the number of connections made to their C2 server and better evade detection.

Adversaries may access data from cloud storage.

Many IaaS providers offer solutions for online data object storage such as Amazon S3, Azure Storage, and Google Cloud Storage. Similarly, SaaS enterprise platforms such as Office 365 and Google Workspace provide cloud-based document storage to users through services such as OneDrive and Google Drive, while SaaS application providers such as Slack, Confluence, Salesforce, and Dropbox may provide cloud storage solutions as a peripheral or primary use case of their platform.

In some cases, as with IaaS-based cloud storage, there exists no overarching application (such as SQL or Elasticsearch) with which to interact with the stored objects: instead, data from these solutions is retrieved directly though the Cloud API. In SaaS applications, adversaries may be able to collect this data directly from APIs or backend cloud storage objects, rather than through their front-end application or interface (i.e., Data from Information Repositories).

Adversaries may collect sensitive data from these cloud storage solutions. Providers typically offer security guides to help end users configure systems, though misconfigurations are a common problem.[1][2][3] There have been numerous incidents where cloud storage has been improperly secured, typically by unintentionally allowing public access to unauthenticated users, overly-broad access by all users, or even access for any anonymous person outside the control of the Identity Access Management system without even needing basic user permissions.

This open access may expose various types of sensitive data, such as credit cards, personally identifiable information, or medical records.[4][5][6][7]

Adversaries may also obtain then abuse leaked credentials from source repositories, logs, or other means as a way to gain access to cloud storage objects.

Adversaries may leverage information repositories to mine valuable information. Information repositories are tools that allow for storage of information, typically to facilitate collaboration or information sharing between users, and can store a wide variety of data that may aid adversaries in further objectives, such as Credential Access, Lateral Movement, or Defense Evasion, or direct access to the target information. Adversaries may also abuse external sharing features to share sensitive documents with recipients outside of the organization (i.e., Transfer Data to Cloud Account).

The following is a brief list of example information that may hold potential value to an adversary and may also be found on an information repository:

* Policies, procedures, and standards * Physical / logical network diagrams * System architecture diagrams * Technical system documentation * Testing / development credentials (i.e., Unsecured Credentials) * Work / project schedules * Source code snippets * Links to network shares and other internal resources * Contact or other sensitive information about business partners and customers, including personally identifiable information (PII)

Information stored in a repository may vary based on the specific instance or environment. Specific common information repositories include the following:

* Storage services such as IaaS databases, enterprise databases, and more specialized platforms such as customer relationship management (CRM) databases * Collaboration platforms such as SharePoint, Confluence, and code repositories * Messaging platforms such as Slack and Microsoft Teams

In some cases, information repositories have been improperly secured, typically by unintentionally allowing for overly-broad access by all users or even public access to unauthenticated users. This is particularly common with cloud-native or cloud-hosted services, such as AWS Relational Database Service (RDS), Redis, or ElasticSearch.[1][2][3]

Adversaries may leverage databases to mine valuable information. These databases may be hosted on-premises or in the cloud (both in platform-as-a-service and software-as-a-service environments).

Examples of databases from which information may be collected include MySQL, PostgreSQL, MongoDB, Amazon Relational Database Service, Azure SQL Database, Google Firebase, and Snowflake. Databases may include a variety of information of interest to adversaries, such as usernames, hashed passwords, personally identifiable information, and financial data. Data collected from databases may be used for Lateral Movement, Command and Control, or Exfiltration. Data exfiltrated from databases may also be used to extort victims or may be sold for profit.[1]

Adversaries may modify visual content available internally or externally to an enterprise network, thus affecting the integrity of the original content. Reasons for Defacement include delivering messaging, intimidation, or claiming (possibly false) credit for an intrusion. Disturbing or offensive images may be used as a part of Defacement in order to cause user discomfort, or to pressure compliance with accompanying messages.

Adversaries may obtain and abuse credentials of a default account as a means of gaining Initial Access, Persistence, Privilege Escalation, or Defense Evasion. Default accounts are those that are built-into an OS, such as the Guest or Administrator accounts on Windows systems. Default accounts also include default factory/provider set accounts on other types of systems, software, or devices, including the root user account in AWS, the root user account in ESXi, and the default service account in Kubernetes.[1][2][3]

Default accounts are not limited to client machines; rather, they also include accounts that are preset for equipment such as network devices and computer applications, whether they are internal, open source, or commercial. Appliances that come preset with a username and password combination pose a serious threat to organizations that do not change it post installation, as they are easy targets for an adversary. Similarly, adversaries may also utilize publicly disclosed or stolen Private Keys or credential materials to legitimately connect to remote environments via Remote Services.[4]

Default accounts may be created on a system after initial setup by connecting or integrating it with another application. For example, when an ESXi server is connected to a vCenter server, a default privileged account called `vpxuser` is created on the ESXi server. If a threat actor is able to compromise this account’s credentials (for example, via Exploitation for Credential Access on the vCenter host), they will then have access to the ESXi server.[5][6]

An adversary may delete a cloud instance after they have performed malicious activities in an attempt to evade detection and remove evidence of their presence. Deleting an instance or virtual machine can remove valuable forensic artifacts and other evidence of suspicious behavior if the instance is not recoverable.

An adversary may also Create Cloud Instance and later terminate the instance after achieving their objectives.[1]

Adversaries may leverage Valid Accounts to log directly into accessible cloud hosted compute infrastructure through cloud native methods. Many cloud providers offer interactive connections to virtual infrastructure that can be accessed through the Cloud API, such as Azure Serial Console[1], AWS EC2 Instance Connect[2][3], and AWS System Manager.[4].

Methods of authentication for these connections can include passwords, application access tokens, or SSH keys. These cloud native methods may, by default, allow for privileged access on the host with SYSTEM or root level access.

Adversaries may utilize these cloud native methods to directly access virtual infrastructure and pivot through an environment.[5] These connections typically provide direct console access to the VM rather than the execution of scripts (i.e., Cloud Administration Command).

Adversaries may attempt to cause a denial of service (DoS) by directly sending a high-volume of network traffic to a target. This DoS attack may also reduce the availability and functionality of the targeted system(s) and network. Direct Network Floods are when one or more systems are used to send a high-volume of network packets towards the targeted service's network. Almost any network protocol may be used for flooding. Stateless protocols such as UDP or ICMP are commonly used but stateful protocols such as TCP can be used as well.

Botnets are commonly used to conduct network flooding attacks against networks and services. Large botnets can generate a significant amount of traffic from systems spread across the global Internet. Adversaries may have the resources to build out and control their own botnet infrastructure or may rent time on an existing botnet to conduct an attack. In some of the worst cases for distributed DoS (DDoS), so many systems are used to generate the flood that each one only needs to send out a small amount of traffic to produce enough volume to saturate the target network. In such circumstances, distinguishing DDoS traffic from legitimate clients becomes exceedingly difficult. Botnets have been used in some of the most high-profile DDoS flooding attacks, such as the 2012 series of incidents that targeted major US banks.[1]

An adversary may disable or modify cloud logging capabilities and integrations to limit what data is collected on their activities and avoid detection. Cloud environments allow for collection and analysis of audit and application logs that provide insight into what activities a user does within the environment. If an adversary has sufficient permissions, they can disable or modify logging to avoid detection of their activities.

For example, in AWS an adversary may disable CloudWatch/CloudTrail integrations prior to conducting further malicious activity. They may alternatively tamper with logging functionality, for example, by removing any associated SNS topics, disabling multi-region logging, or disabling settings that validate and/or encrypt log files.[1][2] In Office 365, an adversary may disable logging on mail collection activities for specific users by using the Set-MailboxAuditBypassAssociation cmdlet, by disabling M365 Advanced Auditing for the user, or by downgrading the user’s license from an Enterprise E5 to an Enterprise E3 license.[3]

Adversaries may disable, degrade, or tamper with security tools or applications (e.g., endpoint detection and response (EDR) tools, intrusion detection systems (IDS), antivirus, logging agents, sensors, etc.) to impair or reduce visibility of defensive capabilities. This may include stopping specific services, killing processes, modifying or deleting tool configuration files and Registry keys, or preventing tools from updating. This may also include impairing defenses more broadly by disrupting preventative, detection, and response mechanisms across host, network, and cloud environments.[1]

In addition to directly targeting tools, adversaries may block or manipulate indicators and telemetry used for detection. This includes maliciously disabling or redirecting sensors such as Event Tracing for Windows (ETW), modifying event log configurations (e.g., redirecting Security logs), or interfering with logging pipelines and forwarding mechanisms (e.g., SIEM ingestion).[2][3]

More advanced techniques include leveraging legitimate drivers or debugging mechanisms to render tools non-functional, bypassing anti-tampering protections, and targeting specific defenses such as Sysmon or cloud monitoring agents. Adversaries may also disrupt broader defensive operations, including update mechanisms, logging infrastructure (e.g., syslog), or event aggregation, further degrading an organization’s ability to detect and respond to malicious activity.[4]

Adversaries may perform Endpoint Denial of Service (DoS) attacks to degrade or block the availability of services to users. Endpoint DoS can be performed by exhausting the system resources those services are hosted on or exploiting the system to cause a persistent crash condition. Example services include websites, email services, DNS, and web-based applications. Adversaries have been observed conducting DoS attacks for political purposes[1] and to support other malicious activities, including distraction[2], hacktivism, and extortion.[3]

An Endpoint DoS denies the availability of a service without saturating the network used to provide access to the service. Adversaries can target various layers of the application stack that is hosted on the system used to provide the service. These layers include the Operating Systems (OS), server applications such as web servers, DNS servers, databases, and the (typically web-based) applications that sit on top of them. Attacking each layer requires different techniques that take advantage of bottlenecks that are unique to the respective components. A DoS attack may be generated by a single system or multiple systems spread across the internet, which is commonly referred to as a distributed DoS (DDoS).

To perform DoS attacks against endpoint resources, several aspects apply to multiple methods, including IP address spoofing and botnets.

Adversaries may use the original IP address of an attacking system, or spoof the source IP address to make the attack traffic more difficult to trace back to the attacking system or to enable reflection. This can increase the difficulty defenders have in defending against the attack by reducing or eliminating the effectiveness of filtering by the source address on network defense devices.

Botnets are commonly used to conduct DDoS attacks against networks and services. Large botnets can generate a significant amount of traffic from systems spread across the global internet. Adversaries may have the resources to build out and control their own botnet infrastructure or may rent time on an existing botnet to conduct an attack. In some of the worst cases for DDoS, so many systems are used to generate requests that each one only needs to send out a small amount of traffic to produce enough volume to exhaust the target's resources. In such circumstances, distinguishing DDoS traffic from legitimate clients becomes exceedingly difficult. Botnets have been used in some of the most high-profile DDoS attacks, such as the 2012 series of incidents that targeted major US banks.[4]

In cases where traffic manipulation is used, there may be points in the global network (such as high traffic gateway routers) where packets can be altered and cause legitimate clients to execute code that directs network packets toward a target in high volume. This type of capability was previously used for the purposes of web censorship where client HTTP traffic was modified to include a reference to JavaScript that generated the DDoS code to overwhelm target web servers.[5]

For attacks attempting to saturate the providing network, see Network Denial of Service.

Adversaries may establish persistence and/or elevate privileges using system mechanisms that trigger execution based on specific events. Various operating systems have means to monitor and subscribe to events such as logons or other user activity such as running specific applications/binaries. Cloud environments may also support various functions and services that monitor and can be invoked in response to specific cloud events.[1][2][3]

Adversaries may abuse these mechanisms as a means of maintaining persistent access to a victim via repeatedly executing malicious code. After gaining access to a victim system, adversaries may create/modify event triggers to point to malicious content that will be executed whenever the event trigger is invoked.[4][5][6]

Since the execution can be proxied by an account with higher permissions, such as SYSTEM or service accounts, an adversary may be able to abuse these triggered execution mechanisms to escalate their privileges.

Adversaries may steal data by exfiltrating it over a different protocol than that of the existing command and control channel. The data may also be sent to an alternate network location from the main command and control server.

Alternate protocols include FTP, SMTP, HTTP/S, DNS, SMB, or any other network protocol not being used as the main command and control channel. Adversaries may also opt to encrypt and/or obfuscate these alternate channels.

Exfiltration Over Alternative Protocol can be done using various common operating system utilities such as Net/SMB or FTP.[1] On macOS and Linux curl may be used to invoke protocols such as HTTP/S or FTP/S to exfiltrate data from a system.[2]

Many IaaS and SaaS platforms (such as Microsoft Exchange, Microsoft SharePoint, GitHub, and AWS S3) support the direct download of files, emails, source code, and other sensitive information via the web console or Cloud API.

Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network. The weakness in the system can be a software bug, a temporary glitch, or a misconfiguration.

Exploited applications are often websites/web servers, but can also include databases (like SQL), standard services (like SMB or SSH), network device administration and management protocols (like SNMP and Smart Install), and any other system with Internet-accessible open sockets.[1][2][3][4][5] On ESXi infrastructure, adversaries may exploit exposed OpenSLP services; they may alternatively exploit exposed VMware vCenter servers.[6][7] Depending on the flaw being exploited, this may also involve Exploitation for Stealth or Exploitation for Client Execution.

If an application is hosted on cloud-based infrastructure and/or is containerized, then exploiting it may lead to compromise of the underlying instance or container. This can allow an adversary a path to access the cloud or container APIs (e.g., via the Cloud Instance Metadata API), exploit container host access via Escape to Host, or take advantage of weak identity and access management policies.

Adversaries may also exploit edge network infrastructure and related appliances, specifically targeting devices that do not support robust host-based defenses.[8][9]

For websites and databases, the OWASP top 10 and CWE top 25 highlight the most common web-based vulnerabilities.[10][11]

Adversaries may exploit vulnerabilities in security software, infrastructure, or defensive components to degrade, disable, or otherwise continue to impair their ability to prevent, detect, or respond to malicious activity. Adversaries may exploit a system or application vulnerability to directly interfere with defensive mechanisms. Exploitation occurs when an adversary takes advantage of a programming error in software, services, or the operating system to execute adversary-controlled code, often with the goal of weakening or disabling protections.

Vulnerabilities may exist in security tools such as antivirus, endpoint detection and response (EDR), firewalls, or other monitoring solutions. Adversaries may use prior reconnaissance or perform discovery activities (e.g., Software Discovery) to identify defensive tools present in an environment and target them for exploitation.

Successful exploitation may allow adversaries to terminate security processes, disable protections, bypass enforcement mechanisms, or reduce the effectiveness of defensive controls. In some cases, vulnerabilities in cloud-based or SaaS infrastructure may also be leveraged to bypass built-in security boundaries or disrupt visibility and enforcement across environments.[1]

Adversaries may exploit vulnerabilities to evade detection by hiding activity, suppressing logging, or operating within trusted or unmonitored components.

Adversaries may exploit a system or application vulnerability to avoid detection while maintaining access within an environment. Exploitation occurs when an adversary leverages a programming flaw to execute code in a manner that minimizes visibility or blends in with legitimate activity.

Rather than directly disabling defenses, adversaries may use exploitation to circumvent monitoring and logging mechanisms. This can include abusing vulnerabilities in logging pipelines, security tools, or cloud infrastructure to evade audit trails, suppress alerts, or operate without generating telemetry.

Adversaries may identify these opportunities through prior reconnaissance or by performing discovery of security controls after initial access. In some cases, vulnerabilities in SaaS or public cloud environments may be exploited to evade logging, obscure activity, or deploy infrastructure that remains hidden from standard monitoring tools.[1][2]

An adversary may deface systems external to an organization in an attempt to deliver messaging, intimidate, or otherwise mislead an organization or users. External Defacement may ultimately cause users to distrust the systems and to question/discredit the system’s integrity. Externally-facing websites are a common victim of defacement; often targeted by adversary and hacktivist groups in order to push a political message or spread propaganda.[1][2][3] External Defacement may be used as a catalyst to trigger events, or as a response to actions taken by an organization or government. Similarly, website defacement may also be used as setup, or a precursor, for future attacks such as Drive-by Compromise.[4]

Adversaries may forge credential materials that can be used to gain access to web applications or Internet services. Web applications and services (hosted in cloud SaaS environments or on-premise servers) often use session cookies, tokens, or other materials to authenticate and authorize user access.

Adversaries may generate these credential materials in order to gain access to web resources. This differs from Steal Web Session Cookie, Steal Application Access Token, and other similar behaviors in that the credentials are new and forged by the adversary, rather than stolen or intercepted from legitimate users.

The generation of web credentials often requires secret values, such as passwords, Private Keys, or other cryptographic seed values.[1] Adversaries may also forge tokens by taking advantage of features such as the `AssumeRole` and `GetFederationToken` APIs in AWS, which allow users to request temporary security credentials (i.e., Temporary Elevated Cloud Access), or the `zmprov gdpak` command in Zimbra, which generates a pre-authentication key that can be used to generate tokens for any user in the domain.[2][3]

Once forged, adversaries may use these web credentials to access resources (ex: Use Alternate Authentication Material), which may bypass multi-factor and other authentication protection mechanisms.[4][5][6]

Adversaries may patch, modify, or otherwise backdoor cloud authentication processes that are tied to on-premises user identities in order to bypass typical authentication mechanisms, access credentials, and enable persistent access to accounts.

Many organizations maintain hybrid user and device identities that are shared between on-premises and cloud-based environments. These can be maintained in a number of ways. For example, Microsoft Entra ID includes three options for synchronizing identities between Active Directory and Entra ID[1]:

* Password Hash Synchronization (PHS), in which a privileged on-premises account synchronizes user password hashes between Active Directory and Entra ID, allowing authentication to Entra ID to take place entirely in the cloud * Pass Through Authentication (PTA), in which Entra ID authentication attempts are forwarded to an on-premises PTA agent, which validates the credentials against Active Directory * Active Directory Federation Services (AD FS), in which a trust relationship is established between Active Directory and Entra ID

AD FS can also be used with other SaaS and cloud platforms such as AWS and GCP, which will hand off the authentication process to AD FS and receive a token containing the hybrid users’ identity and privileges.

By modifying authentication processes tied to hybrid identities, an adversary may be able to establish persistent privileged access to cloud resources. For example, adversaries who compromise an on-premises server running a PTA agent may inject a malicious DLL into the `AzureADConnectAuthenticationAgentService` process that authorizes all attempts to authenticate to Entra ID, as well as records user credentials.[2][3] In environments using AD FS, an adversary may edit the `Microsoft.IdentityServer.Servicehost` configuration file to load a malicious DLL that generates authentication tokens for any user with any set of claims, thereby bypassing multi-factor authentication and defined AD FS policies.[4]

In some cases, adversaries may be able to modify the hybrid identity authentication process from the cloud. For example, adversaries who compromise a Global Administrator account in an Entra ID tenant may be able to register a new PTA agent via the web console, similarly allowing them to harvest credentials and log into the Entra ID environment as any user.[5]

Adversaries may implant cloud or container images with malicious code to establish persistence after gaining access to an environment. Amazon Web Services (AWS) Amazon Machine Images (AMIs), Google Cloud Platform (GCP) Images, and Azure Images as well as popular container runtimes such as Docker can be implanted or backdoored. Unlike Upload Malware, this technique focuses on adversaries implanting an image in a registry within a victim’s environment. Depending on how the infrastructure is provisioned, this could provide persistent access if the infrastructure provisioning tool is instructed to always use the latest image.[1]

A tool has been developed to facilitate planting backdoors in cloud container images.[2] If an adversary has access to a compromised AWS instance, and permissions to list the available container images, they may implant a backdoor such as a Web Shell.[1]

Adversaries may delete or remove built-in data and turn off services designed to aid in the recovery of a corrupted system to prevent recovery.[1][2] This may deny access to available backups and recovery options.

Operating systems may contain features that can help fix corrupted systems, such as a backup catalog, volume shadow copies, and automatic repair features. Adversaries may disable or delete system recovery features to augment the effects of Data Destruction and Data Encrypted for Impact.[1][2] Furthermore, adversaries may disable recovery notifications, then corrupt backups.[3]

A number of native Windows utilities have been used by adversaries to disable or delete system recovery features:

* vssadmin.exe can be used to delete all volume shadow copies on a system - vssadmin.exe delete shadows /all /quiet * Windows Management Instrumentation can be used to delete volume shadow copies - wmic shadowcopy delete * wbadmin.exe can be used to delete the Windows Backup Catalog - wbadmin.exe delete catalog -quiet * bcdedit.exe can be used to disable automatic Windows recovery features by modifying boot configuration data - bcdedit.exe /set {default} bootstatuspolicy ignoreallfailures & bcdedit /set {default} recoveryenabled no * REAgentC.exe can be used to disable Windows Recovery Environment (WinRE) repair/recovery options of an infected system * diskshadow.exe can be used to delete all volume shadow copies on a system - diskshadow delete shadows all [4] [5]

On network devices, adversaries may leverage Disk Wipe to delete backup firmware images and reformat the file system, then System Shutdown/Reboot to reload the device. Together this activity may leave network devices completely inoperable and inhibit recovery operations.

On ESXi servers, adversaries may delete or encrypt snapshots of virtual machines to support Data Encrypted for Impact, preventing them from being leveraged as backups (e.g., via ` vim-cmd vmsvc/snapshot.removeall`).[6]

Adversaries may also delete “online” backups that are connected to their network – whether via network storage media or through folders that sync to cloud services.[7] In cloud environments, adversaries may disable versioning and backup policies and delete snapshots, database backups, machine images, and prior versions of objects designed to be used in disaster recovery scenarios.[8][9]

Adversaries may modify the lifecycle policies of a cloud storage bucket to destroy all objects stored within.

Cloud storage buckets often allow users to set lifecycle policies to automate the migration, archival, or deletion of objects after a set period of time.[1][2][3] If a threat actor has sufficient permissions to modify these policies, they may be able to delete all objects at once.

For example, in AWS environments, an adversary with the `PutLifecycleConfiguration` permission may use the `PutBucketLifecycle` API call to apply a lifecycle policy to an S3 bucket that deletes all objects in the bucket after one day.[4][5] In addition to destroying data for purposes of extortion and Financial Theft, adversaries may also perform this action on buckets storing cloud logs for Indicator Removal.[6]