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  1. Frameworks
  2. >ATTACK
  3. >Execution
  4. >ATTACK-T1059.013
ATTACK-T1059.013Active

Container CLI/API

Statement

Adversaries may abuse built-in CLI tools or API calls to execute malicious commands in containerized environments.

The Docker CLI is used for managing containers via an exposed API point from the dockerd daemon. Some common examples of Docker CLI include Docker Desktop CLI and Docker Compose, but users are also able to use SDKs to interact with the API. For example, Docker SDK for Python can be used to run commands within a Python application.(Citation: Docker Desktop CLI)

Adversaries may leverage the Docker CLI, API, or SDK to pull or build Docker images (i.e., Ingress Tool Transfer, Build Image on Host), run containers (i.e., Deploy Container), or execute commands inside running containers (i.e., Container Administration Command). In some cases, threat actors may pull legitimate images that include scripts or tools that they can leverage - for example, using an image that includes the curl command to download payloads.(Citation: Intezer) Adversaries may also utilize docker inspect and docker ps to scan for cloud environment variables and other running containers (i.e., Container and Resource Discovery).(Citation: Cisco Talos Blog)(Citation: aquasec)

Kubernetes is responsible for the management and orchestration of containers across clusters. The Kubernetes control plane, which manages the state of the cluster and is responsible for scheduling, communication, and resource monitoring, can be invoked directly via the API or indirectly via CLI tools such as kubectl. It may also be accessed within client libraries such as Go or Python. By utilizing the API, administrators can interact with resources within the cluster such as listing or creating pods, which is a group of one or more containers. Adversaries call the API server via curl or other tools, allowing them to obtain further information about the environment such as pods, deployments, daemonsets, namespaces, or sysvars.(Citation: aquasec) They may also run various commands regarding resource management.

Location

Tactic
Execution

Technique Details

Identifier
ATTACK-T1059.013
Parent Technique
ATTACK-T1059
ATT&CK Page
View on MITRE

Tactics

Execution

Platforms

Containers

Detection

Container CLI and API Abuse via Docker/Kubernetes (T1059.013)

Mitigations

Privileged Account Management: Privileged Account Management focuses on implementing policies, controls, and tools to securely manage privileged accounts (e.g., SYSTEM, root, or administrative accounts). This includes restricting access, limiting the scope of permissions, monitoring privileged account usage, and ensuring accountability through logging and auditing.This mitigation can be implemented through the following measures:

Account Permissions and Roles:

  • Implement RBAC and least privilege principles to allocate permissions securely.
  • Use tools like Active Directory Group Policies to enforce access restrictions.

Credential Security:

  • Deploy password vaulting tools like CyberArk, HashiCorp Vault, or KeePass for secure storage and rotation of credentials.
  • Enforce password policies for complexity, uniqueness, and expiration using tools like Microsoft Group Policy Objects (GPO).

Multi-Factor Authentication (MFA):

  • Enforce MFA for all privileged accounts using Duo Security, Okta, or Microsoft Azure AD MFA.

Privileged Access Management (PAM):

  • Use PAM solutions like CyberArk, BeyondTrust, or Thycotic to manage, monitor, and audit privileged access.

Auditing and Monitoring:

  • Integrate activity monitoring into your SIEM (e.g., Splunk or QRadar) to detect and alert on anomalous privileged account usage.

Just-In-Time Access:

  • Deploy JIT solutions like Azure Privileged Identity Management (PIM) or configure ephemeral roles in AWS and GCP to grant time-limited elevated permissions.

Tools for Implementation

Privileged Access Management (PAM):

  • CyberArk, BeyondTrust, Thycotic, HashiCorp Vault.

Credential Management:

  • Microsoft LAPS (Local Admin Password Solution), Password Safe, HashiCorp Vault, KeePass.

Multi-Factor Authentication:

  • Duo Security, Okta, Microsoft Azure MFA, Google Authenticator.

Linux Privilege Management:

  • sudo configuration, SELinux, AppArmor.

Just-In-Time Access:

  • Azure Privileged Identity Management (PIM), AWS IAM Roles with session constraints, GCP Identity-Aware Proxy.

Execution Prevention: Prevent the execution of unauthorized or malicious code on systems by implementing application control, script blocking, and other execution prevention mechanisms. This ensures that only trusted and authorized code is executed, reducing the risk of malware and unauthorized actions. This mitigation can be implemented through the following measures:

Application Control:

  • Use Case: Use tools like AppLocker or Windows Defender Application Control (WDAC) to create whitelists of authorized applications and block unauthorized ones. On Linux, use tools like SELinux or AppArmor to define mandatory access control policies for application execution.
  • Implementation: Allow only digitally signed or pre-approved applications to execute on servers and endpoints. (e.g., New-AppLockerPolicy -PolicyType Enforced -FilePath "C:\Policies\AppLocker.xml")

Script Blocking:

  • Use Case: Use script control mechanisms to block unauthorized execution of scripts, such as PowerShell or JavaScript. Web Browsers: Use browser extensions or settings to block JavaScript execution from untrusted sources.
  • Implementation: Configure PowerShell to enforce Constrained Language Mode for non-administrator users. (e.g., Set-ExecutionPolicy AllSigned)

Executable Blocking:

  • Use Case: Prevent execution of binaries from suspicious locations, such as %TEMP% or %APPDATA% directories.
  • Implementation: Block execution of .exe, .bat, or .ps1 files from user-writable directories.

Dynamic Analysis Prevention:

  • Use Case: Use behavior-based execution prevention tools to identify and block malicious activity in real time.
  • Implemenation: Employ EDR solutions that analyze runtime behavior and block suspicious code execution.

No cross-framework mappings available

← Back to Execution
Execution45 controls
ATTACK-T1047Windows Management InstrumentationATTACK-T1053Scheduled Task/JobATTACK-T1053.002AtATTACK-T1053.003CronATTACK-T1053.005Scheduled TaskATTACK-T1053.006Systemd TimersATTACK-T1053.007Container Orchestration JobATTACK-T1059Command and Scripting InterpreterATTACK-T1059.001PowerShellATTACK-T1059.002AppleScriptATTACK-T1059.003Windows Command ShellATTACK-T1059.004Unix ShellATTACK-T1059.005Visual BasicATTACK-T1059.006PythonATTACK-T1059.007JavaScriptATTACK-T1059.008Network Device CLIATTACK-T1059.009Cloud APIATTACK-T1059.010AutoHotKey & AutoITATTACK-T1059.011LuaATTACK-T1059.012Hypervisor CLIATTACK-T1059.013Container CLI/APIATTACK-T1072Software Deployment ToolsATTACK-T1106Native APIATTACK-T1129Shared ModulesATTACK-T1203Exploitation for Client ExecutionATTACK-T1204User ExecutionATTACK-T1204.001Malicious LinkATTACK-T1204.002Malicious FileATTACK-T1204.003Malicious ImageATTACK-T1204.004Malicious Copy and PasteATTACK-T1204.005Malicious LibraryATTACK-T1559Inter-Process CommunicationATTACK-T1559.001Component Object ModelATTACK-T1559.002Dynamic Data ExchangeATTACK-T1559.003XPC ServicesATTACK-T1569System ServicesATTACK-T1569.001LaunchctlATTACK-T1569.002Service ExecutionATTACK-T1569.003SystemctlATTACK-T1609Container Administration CommandATTACK-T1648Serverless ExecutionATTACK-T1651Cloud Administration CommandATTACK-T1674Input InjectionATTACK-T1675ESXi Administration CommandATTACK-T1677Poisoned Pipeline Execution