Skip to content

Latest commit

 

History

History
27 lines (22 loc) · 3.86 KB

threat-modeling.md

File metadata and controls

27 lines (22 loc) · 3.86 KB

Threat Model Analysis for onevcat/fengniao

Threat: Unintended Task Execution or Denial of Service through Task Flooding (High Severity)

  • Description: If FengNiao's task scheduling mechanism lacks sufficient safeguards, an attacker might exploit weaknesses in the application's task creation process to flood FengNiao's task queue with a massive number of tasks. This could overwhelm FengNiao's internal task management, leading to resource exhaustion (CPU, memory) within the application or the system running FengNiao. The attacker doesn't necessarily need to exploit a vulnerability in FengNiao's code, but rather abuse the design of its scheduling if it's not robust against excessive task submissions.
  • Impact: Application denial of service, performance degradation, resource exhaustion, potentially impacting other parts of the application or system if FengNiao consumes excessive resources.
  • FengNiao Component Affected: Task Scheduling Module (Specifically, the task queue management and execution initiation logic).
  • Risk Severity: High.
  • Mitigation Strategies:
    • Review FengNiao's documentation and source code: Understand if FengNiao provides built-in mechanisms for task queue limits or rate limiting.
    • Implement application-level rate limiting: If FengNiao lacks built-in controls, implement rate limiting in the application code that creates tasks for FengNiao to manage.
    • Monitor task queue size: Implement monitoring to detect unusually large task queues, which could indicate a task flooding attack.
    • Configure resource limits: If possible, configure resource limits (e.g., CPU, memory) for the process or container running FengNiao to contain the impact of resource exhaustion.

Threat: Vulnerabilities within FengNiao Library Code (High to Critical Severity)

  • Description: FengNiao, like any software library, might contain security vulnerabilities in its code. These vulnerabilities could be exploited by an attacker to compromise the application using FengNiao. Examples include buffer overflows, injection vulnerabilities within FengNiao's internal logic, or logic errors that lead to insecure behavior. The attacker would need to find and exploit a specific vulnerability in FengNiao's code.
  • Impact: Depending on the vulnerability, impacts can range from denial of service, to arbitrary code execution within the application's context, data breaches if FengNiao handles sensitive data internally, or privilege escalation if FengNiao runs with elevated privileges.
  • FengNiao Component Affected: Core Library Code (Potentially any module or function within FengNiao, depending on the specific vulnerability).
  • Risk Severity: High to Critical (depending on the nature and exploitability of the vulnerability).
  • Mitigation Strategies:
    • Stay updated with FengNiao versions: Regularly check for updates to FengNiao and apply them promptly. Security vulnerabilities are often fixed in newer versions.
    • Monitor security advisories: Keep an eye on security advisories and vulnerability databases that might mention FengNiao or its dependencies.
    • Consider security code review: For critical applications, consider performing security code reviews or static analysis of FengNiao's source code to proactively identify potential vulnerabilities.
    • Isolate FengNiao: If possible, run FengNiao in a sandboxed environment or with minimal privileges to limit the impact of a potential vulnerability exploitation.
    • Report vulnerabilities: If you discover a potential vulnerability in FengNiao, responsibly report it to the library maintainers so they can address it.