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Threat Model Analysis for elastic/logstash

  • Description: Attacker intercepts network traffic to capture logs in transit or injects malicious logs by sending data to an unauthenticated Logstash input.
  • Impact: Confidentiality breach of log data, integrity compromise of logs, potential system compromise if malicious logs exploit vulnerabilities.
  • Affected Logstash Component: Input Stage, Input Plugins (e.g., TCP, HTTP)
  • Risk Severity: High
  • Mitigation Strategies:
    • Use encrypted protocols like TLS/SSL for input sources.
    • Implement authentication mechanisms for input sources where applicable (e.g., API keys, mutual TLS).
    • Network segmentation to restrict access to Logstash input ports.
  • Description: Attacker crafts malicious input data to exploit a vulnerability (e.g., buffer overflow, injection flaw) in an input plugin, potentially leading to remote code execution or denial of service.
  • Impact: Remote code execution on the Logstash server, denial of service of Logstash, data corruption.
  • Affected Logstash Component: Input Stage, Specific Input Plugins (e.g., HTTP, Beats, Syslog)
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Keep Logstash and all plugins updated to the latest versions.
    • Subscribe to security advisories for Logstash and its plugins.
    • Use well-maintained and reputable plugins.
  • Description: Attacker crafts specific log entries or configuration to exploit vulnerabilities in filter plugins, potentially leading to remote code execution or data manipulation.
  • Impact: Remote code execution on the Logstash server, data manipulation, denial of service.
  • Affected Logstash Component: Filter Stage, Specific Filter Plugins (e.g., Grok, Ruby, Mutate)
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Keep Logstash and all plugins updated to the latest versions.
    • Use well-maintained and reputable filter plugins.
    • Avoid using custom or untested filter plugins in production.
  • Description: Incorrectly configured filters unintentionally expose sensitive data in logs or forward it to unintended outputs.
  • Impact: Confidentiality breach of sensitive information (PII, credentials, internal system details).
  • Affected Logstash Component: Filter Stage, Filter Configurations, Output Stage
  • Risk Severity: High
  • Mitigation Strategies:
    • Carefully review and test filter configurations before deploying to production.
    • Implement data masking or redaction filters to remove sensitive data from logs.
    • Follow the principle of least privilege when configuring outputs.
  • Description: Attacker compromises Logstash configuration and modifies filters to alter or drop log data, hindering security monitoring.
  • Impact: Integrity compromise of log data, hindering security monitoring and incident response, covering tracks of malicious activity.
  • Affected Logstash Component: Filter Stage, Filter Configurations, Log Data
  • Risk Severity: High
  • Mitigation Strategies:
    • Implement strong access controls to Logstash configuration files and management interfaces.
    • Use configuration version control and auditing to track changes.
    • Regularly review and audit Logstash configurations.
  • Description: Attacker intercepts network traffic to capture logs being sent to an unauthenticated output destination or gains unauthorized access to the destination itself.
  • Impact: Confidentiality breach of log data, potential compromise of the output destination system if vulnerabilities are present.
  • Affected Logstash Component: Output Stage, Output Plugins (e.g., Elasticsearch, TCP, HTTP)
  • Risk Severity: High
  • Mitigation Strategies:
    • Use encrypted protocols like TLS/SSL for output destinations.
    • Implement authentication mechanisms for output destinations (e.g., API keys, username/password).
    • Network segmentation to restrict access to output destinations.
  • Description: Attacker crafts specific log data to exploit vulnerabilities in output plugins when sending data to the destination, potentially leading to remote code execution or data corruption at the destination.
  • Impact: Remote code execution on the output destination system, data corruption at the destination, denial of service of the destination.
  • Affected Logstash Component: Output Stage, Specific Output Plugins (e.g., Elasticsearch, Kafka, Database outputs)
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Keep Logstash and all plugins updated to the latest versions.
    • Use well-maintained and reputable output plugins.
  • Description: Output configurations contain sensitive credentials (usernames, passwords, API keys) that are stored insecurely in Logstash configuration files, potentially exposed if files are compromised.
  • Impact: Unauthorized access to output destinations and potentially wider systems, confidentiality breach of credentials.
  • Affected Logstash Component: Output Stage, Output Configurations, Configuration Files
  • Risk Severity: High
  • Mitigation Strategies:
    • Use secure credential management practices (e.g., secrets management tools, environment variables, encrypted keystores).
    • Avoid storing credentials in plain text in configuration files.
    • Implement strict access controls to Logstash configuration files.
  • Description: Attacker compromises Logstash configuration and redirects log data to attacker-controlled output destinations for data theft.
  • Impact: Confidentiality breach of sensitive log data, data exfiltration to unauthorized parties.
  • Affected Logstash Component: Output Stage, Output Configurations, Log Data
  • Risk Severity: High
  • Mitigation Strategies:
    • Implement strong access controls to Logstash configuration files and management interfaces.
    • Use configuration version control and auditing to track changes.
    • Regularly review and audit Logstash configurations, especially output destinations.
  • Description: Logstash configuration files are stored in plain text and accessible to unauthorized users or processes on the Logstash server.
  • Impact: Exposure of sensitive configuration details (credentials, output destinations, filter logic), leading to various attacks.
  • Affected Logstash Component: Configuration Management, Configuration Files, Logstash Server File System
  • Risk Severity: High
  • Mitigation Strategies:
    • Store Logstash configuration files with restricted permissions.
    • Encrypt sensitive data within configuration files if possible (using secrets management).
  • Description: Lack of proper access controls allows unauthorized users to modify Logstash configuration, leading to data manipulation, redirection, or denial of service.
  • Impact: Integrity compromise of log data, confidentiality breach, denial of service.
  • Affected Logstash Component: Configuration Management, Configuration Files, Management Interfaces (if any)
  • Risk Severity: High
  • Mitigation Strategies:
    • Implement role-based access control (RBAC) for Logstash configuration management.
    • Use operating system level access controls to restrict access to configuration files.
  • Description: Vulnerabilities in Logstash core software or its dependencies (JVM, Ruby runtime, libraries) are exploited by attackers.
  • Impact: Remote code execution, privilege escalation, denial of service, information disclosure.
  • Affected Logstash Component: Logstash Core, Underlying Runtime Environment (JVM, Ruby)
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Keep Logstash and its underlying runtime environment updated to the latest versions.
    • Subscribe to security advisories for Logstash and its dependencies.
  • Description: Attacker compromises the Logstash process and exploits vulnerabilities to escalate privileges on the Logstash server.
  • Impact: Full compromise of the Logstash server, allowing for further malicious activities and wider system compromise.
  • Affected Logstash Component: Logstash Process, Operating System, Logstash Server
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Run Logstash with the least privileges necessary.
    • Implement security hardening measures for the Logstash server operating system.
  • Description: Third-party plugins contain vulnerabilities that are exploited by attackers.
  • Impact: Remote code execution, denial of service, data manipulation, information disclosure, similar to core Logstash vulnerabilities.
  • Affected Logstash Component: Plugin Stage, Specific Third-Party Plugins (Input, Filter, Output)
  • Risk Severity: Critical to High (depending on the vulnerability and plugin)
  • Mitigation Strategies:
    • Thoroughly vet third-party plugins before use.
    • Only use plugins from trusted and reputable sources.
    • Keep all plugins updated to the latest versions.
  • Description: Attacker installs a malicious plugin that appears legitimate but contains malicious code.
  • Impact: Full compromise of the Logstash process and potentially the underlying system, data theft, system compromise, denial of service.
  • Affected Logstash Component: Plugin Stage, Plugin Installation, Logstash Core, Logstash Server
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Only install plugins from trusted and official sources (e.g., the official Logstash plugin repository).
    • Verify plugin integrity using checksums or digital signatures if available.