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Attack Surface Analysis for reactivex/rxandroid

  • Description: Performing long-running or blocking operations directly on the Android main thread (UI thread), leading to UI freezes and Application Not Responding (ANR) errors.
  • RxAndroid Contribution: RxAndroid provides AndroidSchedulers.mainThread() which allows developers to easily schedule operations on the main thread. Misuse by executing heavy tasks directly on this scheduler is a direct contribution to this attack surface. The ease of use of AndroidSchedulers.mainThread() can inadvertently encourage developers to perform operations that should be offloaded to background threads, thus directly increasing the risk of ANRs.
  • Example: An application uses RxAndroid to process a large image and updates the UI with the processed image using observeOn(AndroidSchedulers.mainThread()). If the image processing itself is also performed within the same Rx chain without being offloaded to a background thread (e.g., using subscribeOn(Schedulers.io())), it will block the main thread, causing an ANR.
  • Impact: Denial of Service (DoS) - application becomes unresponsive and unusable, forcing the user to force-close the application.
  • Risk Severity: High
  • Mitigation Strategies:
    • Developers:
      • Strictly offload all computationally intensive or I/O bound operations to background threads using appropriate Schedulers like Schedulers.io() or Schedulers.computation() using operators like subscribeOn().
      • Reserve observeOn(AndroidSchedulers.mainThread()) exclusively for short, non-blocking UI updates that occur after background processing is fully completed.
      • Implement timeouts for operations, especially network requests or complex calculations, to prevent indefinite blocking of the main thread even if background threading is used incorrectly.
      • Conduct rigorous performance testing, particularly under simulated load and stress conditions, to proactively identify and eliminate any main thread bottlenecks introduced by RxAndroid usage.
      • Utilize strict code review processes to ensure developers are correctly using AndroidSchedulers.mainThread() and are not inadvertently performing heavy operations on it.
    • Users:
      • Limited mitigation for users. Force closing the application and restarting it is the primary user action to recover from an ANR.
      • Avoid triggering application features that are consistently observed to cause freezes or unresponsiveness.
      • Ensure the device has sufficient resources (CPU, memory) as low-end devices are more susceptible to ANRs under load.