Skip to content

Latest commit

 

History

History
52 lines (45 loc) · 7.1 KB

threat-modeling.md

File metadata and controls

52 lines (45 loc) · 7.1 KB

Threat Model Analysis for sirupsen/logrus

Threat: Information Disclosure via Excessive Logging

  • Threat: Information Disclosure via Excessive Logging
  • Description: An attacker gains unauthorized access to log files. If the application, using logrus, logs highly sensitive information such as user credentials, API keys, database passwords, or encryption keys due to overly verbose logging configurations, the attacker can extract this data. This exposed sensitive information can lead to immediate and severe consequences like complete system compromise, data breaches, and financial loss.
  • Impact: Critical. Complete system compromise, major data breach, significant financial loss, severe reputational damage, and legal repercussions.
  • Logrus Component Affected:
    • Core Logging Functions (e.g., logrus.Info, logrus.Debug, logrus.Error, logrus.WithFields).
    • Formatters (if configured to include sensitive data in the log output).
    • Hooks (if they transmit logs to insecure destinations without proper filtering of sensitive data).
  • Risk Severity: Critical (when highly sensitive information is logged and exposed).
  • Mitigation Strategies:
    • Strict Logging Policies: Implement and enforce rigorous logging policies that explicitly prohibit logging of highly sensitive data in production environments.
    • Regular Audits: Conduct frequent audits of logging configurations and log outputs to identify and eliminate any instances of sensitive data logging.
    • Data Scrubbing/Masking: Implement robust log scrubbing or masking techniques to automatically redact or anonymize sensitive information before it is logged.
    • Restrictive Log Levels: Use highly restrictive log levels (e.g., Error, Fatal) in production, reserving more verbose levels (e.g., Debug, Trace) exclusively for development and debugging in isolated, secure environments.
    • Developer Training: Provide mandatory and ongoing security training for developers, emphasizing the extreme risks of logging sensitive data and secure logging best practices.
    • Secure Log Storage and Access Control: Implement strong access controls and encryption for log storage and transmission to minimize the risk of unauthorized access, even if logs inadvertently contain sensitive data.

Threat: Log Injection and Tampering leading to Log Exploitation

  • Threat: Log Injection and Tampering leading to Log Exploitation
  • Description: An attacker injects malicious content into log files by exploiting unsanitized user-controlled data logged via logrus. If log analysis tools or systems processing these logs are vulnerable to these injected payloads (e.g., format string vulnerabilities, command injection), attackers can leverage log injection to compromise the log management infrastructure itself. This could lead to remote code execution on log servers or other systems processing the logs.
  • Impact: High to Critical. Compromise of log management infrastructure, potential remote code execution on log servers or systems, allowing attackers to pivot further into the network, disrupt logging services, or manipulate audit trails on a larger scale.
  • Logrus Component Affected:
    • Core Logging Functions (when logging user input directly without sanitization).
    • Formatters (if they do not properly sanitize or escape data, especially when using custom formatters or features that might interpret log messages as commands).
    • Hooks (if they pass unsanitized data to external logging systems that are vulnerable to injection attacks).
  • Risk Severity: High to Critical (Critical if log analysis tools are highly vulnerable and critical infrastructure; High if exploitation is possible but impact is somewhat contained).
  • Mitigation Strategies:
    • Strict Input Sanitization: Mandatory and rigorous sanitization and encoding of all user-provided data before logging it using logrus. Treat log files as a critical attack surface.
    • Input Validation: Implement robust input validation to prevent injection of control characters, escape sequences, or any data that could be interpreted as commands by log analysis tools.
    • Structured Logging (JSON): Favor structured logging formats like JSON consistently. This reduces the likelihood of injection vulnerabilities compared to plain text formats, as parsing and analysis become more predictable and less susceptible to format manipulation.
    • Secure Log Analysis Tools: Ensure that all log analysis tools and systems used to process logrus logs are hardened against injection vulnerabilities and regularly updated with security patches.
    • Security Audits of Log Processing Pipeline: Conduct security audits of the entire log processing pipeline, from log generation in the application to storage and analysis, to identify and mitigate potential vulnerabilities.

Threat: Vulnerabilities in Logrus or Dependencies

  • Threat: Vulnerabilities in Logrus or Dependencies
  • Description: logrus itself, or its dependencies, might contain critical security vulnerabilities, such as remote code execution flaws. If these vulnerabilities are discovered and exploited by attackers, they could directly compromise the application using logrus or the systems where the application is running. Exploitation often targets known vulnerabilities in outdated versions of libraries.
  • Impact: Critical. Remote code execution, full application and/or system compromise, complete loss of confidentiality, integrity, and availability.
  • Logrus Component Affected:
    • Entire logrus library and any vulnerable dependencies. The specific affected component depends entirely on the nature of the vulnerability.
  • Risk Severity: Critical (especially if remote code execution vulnerabilities are present).
  • Mitigation Strategies:
    • Continuous Updates: Implement a process for continuously monitoring and updating logrus and all its dependencies to the latest stable versions. Automate dependency updates where possible.
    • Vulnerability Scanning: Employ automated dependency scanning tools integrated into the development pipeline to proactively detect and alert on known vulnerabilities in logrus and its dependencies.
    • Security Advisories Monitoring: Actively monitor security advisories and vulnerability databases specifically for logrus and its ecosystem. Subscribe to security mailing lists and feeds.
    • Rapid Patching Process: Establish a rapid patching process to quickly apply security updates for logrus and its dependencies as soon as vulnerabilities are disclosed and patches are available.
    • Security Testing: Include security testing, such as penetration testing and vulnerability assessments, in the software development lifecycle to identify potential weaknesses related to library usage and dependencies.