- Description: A system flaw (not necessarily an attacker) causes a non-idempotent operation (e.g., "create user," "process payment") to fail after its side effect occurs but before a success response. Polly's
RetryPolicy
, if misapplied, retries the operation, leading to duplicates.- Impact:
- Duplicate data (multiple user accounts, orders).
- Financial loss (double-charging).
- Data inconsistency and corruption.
- Violation of business rules.
- Affected Component:
RetryPolicy
,RetryTResultPolicy
- Risk Severity: High (significant data and financial risks)
- Mitigation Strategies:
- Idempotency Keys: Implement server-side idempotency keys.
- Check Before Retry: (Complex) Attempt to determine if the previous operation succeeded before retrying.
- Transactional Operations: (If possible) Wrap the operation and retry in a transaction.
- Avoid Retries: Do not use
RetryPolicy
for inherently non-idempotent operations. UseFallbackPolicy
. - CQRS: Separate commands (state changes) from queries (reads). Retries are safer on queries.
- Impact:
- Description: An attacker, or a system fault, triggers repeated failures. An overly aggressive
RetryPolicy
(too many retries, short intervals) amplifies this, causing a denial-of-service (DoS) attack against the downstream service (potentially self-inflicted).- Impact:
- Downstream service unavailability.
- Cascading failures.
- Application unresponsiveness.
- Resource exhaustion.
- Affected Component:
RetryPolicy
,WaitAndRetryPolicy
,RetryTResultPolicy
,WaitAndRetryTResultPolicy
- Risk Severity: High (can lead to service outages)
- Mitigation Strategies:
- Exponential Backoff with Jitter: Use
WaitAndRetryPolicy
with increasing delays and random jitter. - Circuit Breaker: Use a
CircuitBreakerPolicy
before theRetryPolicy
. - Rate Limiting: Implement client-side rate limiting in addition to Polly.
- Reasonable Timeouts: Set appropriate timeouts.
- Monitoring: Monitor retry counts, durations, and downstream service health.
- Exponential Backoff with Jitter: Use
- Impact:
- Description: If all resilience strategies fail (retries, circuit breaker), and there's no
FallbackPolicy
, or the fallback itself fails (throws an exception, returns bad data), the application may crash or provide a very poor user experience. An attacker might trigger failures to expose this.- Impact:
- Application crashes.
- Unhandled exceptions exposed to the user.
- Incorrect or stale data returned.
- Poor user experience.
- Affected Component:
FallbackPolicy
,FallbackAsyncPolicy
- Risk Severity: High (can lead to application crashes and data issues)
- Mitigation Strategies:
- Always Use Fallback: Always configure a
FallbackPolicy
. - Robust Fallback Action: Ensure the fallback is simple, reliable, and fast; it should not throw exceptions.
- Return Sensible Defaults: Return a default value, cached response (if appropriate), or a user-friendly error.
- Log Fallback Execution: Log whenever the fallback is used.
- Test Fallback Thoroughly: Test the fallback under failure conditions.
- Always Use Fallback: Always configure a
- Impact:
- Description: A vulnerability is discovered in Polly itself or one of its dependencies. An attacker exploits this to compromise the application.
- Impact:
- Varies widely; could range from information disclosure to remote code execution (RCE).
- Affected Component: The entire Polly library, or a specific dependency.
- Risk Severity: Variable (depends on the vulnerability; could be Critical)
- Mitigation Strategies:
- Dependency Scanning: Use a software composition analysis (SCA) tool (e.g., OWASP Dependency-Check, Snyk).
- Keep Polly Updated: Regularly update to the latest version of Polly.
- Monitor Security Advisories: Monitor Polly's GitHub and security channels.
- Impact: