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attack-surface.md

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Attack Surface Analysis for netflix/asgard

Attack Surface: Authentication and Authorization Bypass (Asgard-Specific)

  • Description: Circumventing Asgard's internal authentication or authorization mechanisms.
  • Asgard Contribution: Vulnerabilities in Asgard's own authentication and RBAC code, distinct from AWS IAM.
  • Example: Exploiting a flaw in Asgard's LDAP integration to authenticate as a privileged Asgard user.
  • Impact: Full control over Asgard, leading to unauthorized AWS resource manipulation.
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Developers:
      • Robust input validation and sanitization for all authentication inputs within Asgard.
      • Regular security reviews and updates of Asgard's authentication/authorization code.
      • Secure session management practices within Asgard (strong tokens, proper expiration).
      • Penetration testing targeting Asgard's authentication/authorization.
    • Users:
      • Integrate Asgard with a strong, centrally managed identity provider.
      • Enforce MFA for Asgard users.
      • Regularly audit Asgard user accounts and roles.

Attack Surface: AWS Credential Exposure/Misuse (Asgard Handling)

  • Description: Exposure of AWS credentials due to vulnerabilities in how Asgard stores or uses them.
  • Asgard Contribution: Asgard's internal handling of AWS credentials is the direct risk.
  • Example: An attacker extracts AWS keys from Asgard's memory or database due to a vulnerability.
  • Impact: Full control over AWS resources accessible to Asgard's credentials.
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Developers:
      • Never hardcode credentials in Asgard's code.
      • Use secure storage for credentials (encrypted databases, secrets management solutions).
      • Robust logging and auditing of credential usage within Asgard.
      • Avoid logging sensitive credentials.
    • Users:
      • Use IAM roles for Asgard (not long-term keys) whenever possible.
      • Grant Asgard least privilege AWS permissions.
      • Implement regular credential rotation.

Attack Surface: Deployment and Configuration Manipulation (Through Asgard)

  • Description: Unauthorized AWS changes via vulnerabilities in Asgard's deployment features.
  • Asgard Contribution: Asgard's core functionality of managing deployments is the attack vector.
  • Example: Exploiting Asgard's security group management to open ports to the public.
  • Impact: Malicious instance launches, data breaches, denial-of-service.
  • Risk Severity: High
  • Mitigation Strategies:
    • Developers:
      • Strict input validation and sanitization for all deployment parameters within Asgard.
      • Strong validation of AMI IDs and configuration settings.
      • Robust error handling and logging for deployment operations.
      • Regular security reviews of Asgard's deployment workflows.
    • Users:
      • Use Asgard's RBAC to restrict access to deployment actions.
      • Implement approval workflows for critical changes.
      • Audit Asgard's activity logs for unauthorized actions.

Attack Surface: Dependency Vulnerabilities (Asgard's Dependencies)

  • Description: Exploitation of vulnerabilities in libraries used by Asgard.
  • Asgard Contribution: Asgard's reliance on potentially vulnerable external libraries.
  • Example: Exploiting a known vulnerability in an outdated Groovy library used by Asgard.
  • Impact: Code execution within Asgard, leading to compromise.
  • Risk Severity: High
  • Mitigation Strategies:
    • Developers:
      • Regularly update Asgard's dependencies to secure versions.
      • Use dependency scanning tools.
      • Consider Software Composition Analysis (SCA) tools.
    • Users:
      • Deploy the latest version of Asgard.
      • Monitor security advisories for Asgard and its technologies.

Attack Surface: Code Injection (Within Asgard)

  • Description: Injecting malicious Groovy/Java code into Asgard.
  • Asgard Contribution: Asgard's use of Groovy/Java and potential mishandling of user input.
  • Example: Injecting a malicious Groovy script into an Asgard input field.
  • Impact: Complete compromise of the Asgard server.
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Developers:
      • Strictly validate and sanitize all user input within Asgard. Use whitelisting.
      • Avoid dynamic code evaluation if possible. Use a secure sandbox if necessary.
      • Regular security code reviews, focusing on input handling.
      • Use static analysis tools.
    • Users:
      • Limit users with permissions to modify configurations susceptible to code injection.
      • Regularly audit user activity within Asgard.