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Attack Surface Analysis for ansible/ansible

Attack Surface: Compromised Control Node

  • Description: The machine running Ansible (the control node) is compromised, giving the attacker Ansible's access to all managed hosts.
    • How Ansible Contributes: Ansible's centralized control model creates a single, high-value target. The control node holds the credentials (SSH keys, etc.) needed to manage all connected systems. This is inherent to Ansible's design.
    • Example: An attacker gains access to the control node via a phishing attack and uses the stored SSH keys to connect to all managed servers as root.
    • Impact: Complete compromise of all systems managed by Ansible. Data breaches, system destruction, lateral movement.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Dedicated, Hardened Control Node: Use a dedicated, minimal system (physical or virtual) solely for Ansible. Avoid using it for other tasks.
      • Multi-Factor Authentication (MFA): Enforce MFA for all access to the control node.
      • Least Privilege (Control Node User): The user running Ansible on the control node should have minimal permissions on the control node itself.
      • Secure Key Management: Use HSMs, encrypted key storage, or a secrets management solution for SSH keys. Never store keys in easily accessible locations.
      • Endpoint Detection and Response (EDR): Deploy EDR on the control node.
      • Regular Patching: Keep the control node's OS and all software (including Ansible) fully patched.
      • Auditing: Regularly audit all activity on the control node.
  • Description: An attacker injects malicious code into Ansible playbooks, roles, or modules, which is then executed on managed hosts.
    • How Ansible Contributes: Ansible's core function is to execute code on remote systems. This inherent capability is abused if the code is malicious. The use of external roles/modules (e.g., from Ansible Galaxy) increases this risk.
    • Example: An attacker compromises a popular Ansible role on Ansible Galaxy and adds a backdoor. Users who download and use this role unknowingly install the backdoor.
    • Impact: Compromise of managed hosts, data breaches, system destruction, persistent backdoors.
    • Risk Severity: High
    • Mitigation Strategies:
      • Strict Code Review: Implement a rigorous code review process for all Ansible code, including internally developed and externally sourced content.
      • Vetting Third-Party Content: Thoroughly vet all third-party roles/modules before use. Check author reputation, review code, look for red flags.
      • Version Control (Git): Track all changes to Ansible code and facilitate rollbacks.
      • Private Repository: Maintain a private repository for trusted roles and modules.
      • Checksum Verification: Verify the integrity of downloaded roles/modules using checksums or digital signatures.
      • Regular Audits: Conduct regular audits of playbooks and roles for unauthorized modifications.
  • Description: An attacker gains access to the Ansible Vault password, decrypting sensitive data.
    • How Ansible Contributes: Ansible Vault is specifically designed to store secrets. Its security is entirely dependent on the Vault password's secrecy. This is a direct Ansible feature.
    • Example: An attacker uses a weak Vault password or obtains it via social engineering, decrypting API keys and database credentials.
    • Impact: Exposure of sensitive data (passwords, API keys, etc.), leading to compromises of other systems.
    • Risk Severity: High
    • Mitigation Strategies:
      • Strong, Unique Vault Password: Use a strong, unique, randomly generated password.
      • Secure Password Storage: Store the Vault password in a password manager or HSM. Never in plain text.
      • Secrets Management Solution: Consider using a dedicated secrets management solution (HashiCorp Vault, AWS Secrets Manager) instead of or with Ansible Vault.
      • Limit Vault Usage: Only store truly sensitive data in the vault.
      • Regular Password Rotation: Rotate the Ansible Vault password periodically.
  • Description: An attacker leverages Ansible's become functionality (e.g., sudo) to gain elevated privileges on a managed host.
    • How Ansible Contributes: Ansible often needs elevated privileges to perform configuration tasks. The become feature is a direct Ansible mechanism for achieving this. Misconfigurations can lead to unintended escalation.
    • Example: An attacker compromises a low-privileged account and exploits a vulnerability in an Ansible module run with become: yes to gain root.
    • Impact: An attacker with limited access gains full control of the system.
    • Risk Severity: High
    • Mitigation Strategies:
      • Use become Sparingly: Only use become when absolutely necessary.
      • Restrict become Methods: Carefully configure become_method and become_user to limit the scope.
      • Least Privilege (Managed Hosts): The Ansible user on managed hosts should have minimal permissions.
      • Sudoers Configuration: If using sudo, carefully configure the sudoers file to restrict Ansible's elevated commands.
      • Auditing: Regularly audit become configurations and usage.
  • Description: An attacker intercepts and modifies communication between the Ansible control node and managed hosts.
    • How Ansible Contributes: While Ansible uses SSH by default, disabling host key verification (a direct Ansible configuration option) makes MITM attacks trivial. This is a direct consequence of misusing an Ansible feature.
    • Example: An attacker uses ARP spoofing, and because host_key_checking = False is set in ansible.cfg, the attack succeeds, injecting malicious commands.
    • Impact: Compromise of managed hosts, data theft, configuration modification.
    • Risk Severity: High
    • Mitigation Strategies:
    • SSH Host Key Verification: Ensure that SSH host key verification is enabled (this is the default, so do not disable it). Manage host keys properly.
    • Secure Network: Use a secure network (VPN or physically secure network) for Ansible communication.
    • Network Segmentation: Limit the impact of a potential MITM attack.
    • Network Monitoring: Monitor for suspicious activity (ARP spoofing, DNS spoofing).