Mitigation Strategy: Prioritize LINQ to Entities and Safe Raw SQL Usage
Description:
1. Review Existing Code: Examine all database interactions. Identify all instances of FromSqlRaw
, ExecuteSqlRaw
, and any custom SQL query generation.
2. Refactor to LINQ: Convert FromSqlRaw
and ExecuteSqlRaw
calls to equivalent LINQ to Entities expressions whenever possible. Use EF Core's LINQ methods (Where
, Select
, Join
, OrderBy
, etc.).
3. Use FromSqlInterpolated
/ ExecuteSqlInterpolated
: If raw SQL is unavoidable, replace FromSqlRaw
with FromSqlInterpolated
and ExecuteSqlRaw
with ExecuteSqlInterpolated
. Use C# string interpolation for parameters.
4. Code Reviews: Enforce code reviews that specifically check for safe SQL usage within EF Core.
-
Threats Mitigated:
- SQL Injection (Severity: Critical): Direct injection of malicious SQL code.
- Data Modification (Severity: High): If SQL injection modifies data.
- Data Exfiltration (Severity: High): If SQL injection reads data.
-
Impact:
- SQL Injection: Risk significantly reduced (from Critical to Low/Negligible) if LINQ to Entities is used consistently and
FromSqlInterpolated
is used correctly. - Data Modification/Exfiltration: Risk reduced proportionally to the reduction in SQL injection risk.
- SQL Injection: Risk significantly reduced (from Critical to Low/Negligible) if LINQ to Entities is used consistently and
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Implement Eager Loading and Projections (EF Core Methods)
Description:
1. Identify N+1 Problems: Use EF Core logging or database profiling to find N+1 query issues.
2. Use Include
and ThenInclude
: Refactor queries to use EF Core's Include
and ThenInclude
methods to load related entities in a single query.
3. Use Select
for Projections: Use EF Core's Select
method to retrieve only the necessary columns, creating anonymous types or DTOs.
4. Review Query Performance: Regularly monitor query performance using EF Core logging.
-
Threats Mitigated:
- Denial of Service (DoS) (Severity: Medium/High): Inefficient queries can overload the database.
- Performance Degradation (Severity: Medium): Slow queries impact responsiveness.
-
Impact:
- DoS: Risk significantly reduced by eliminating N+1 problems.
- Performance Degradation: Significant performance improvements.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Utilize AsNoTracking
for Read-Only Operations (EF Core Method)
Description:
1. Identify Read-Only Queries: Find queries where data is only read, not modified.
2. Append AsNoTracking()
: Add .AsNoTracking()
to the end of these LINQ queries before materializing (e.g., before ToList()
).
3. Code Reviews: Ensure AsNoTracking()
is used correctly and not on queries where entities will be modified.
-
Threats Mitigated:
- Performance Degradation (Severity: Low/Medium): Reduces memory overhead.
- Unintended Data Modification (Severity: Low): Reduces risk of accidental modifications.
-
Impact:
- Performance Degradation: Moderate performance improvement.
- Unintended Data Modification: Small but helpful risk reduction.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Implement Pagination (EF Core Methods)
Description:
1. Identify Large Result Sets: Find queries that could return many results.
2. Implement Skip()
and Take()
: Use EF Core's Skip()
and Take()
methods in your LINQ queries to retrieve data in pages.
3. Default Page Size: Set a reasonable default page size.
-
Threats Mitigated:
- Denial of Service (DoS) (Severity: Medium/High): Prevents loading huge datasets.
- Performance Degradation (Severity: Medium): Improves performance.
-
Impact:
- DoS: Significant risk reduction.
- Performance Degradation: Significant performance improvement.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Avoid Client-Side Evaluation (EF Core Behavior)
Description: 1. Review LINQ Queries: Examine LINQ queries for custom functions and complex logic. 2. EF Core Logging: Enable EF Core logging to see generated SQL and warnings about client-side evaluation. 3. Refactor for Server-Side Evaluation: Rewrite queries to use built-in EF Core methods and ensure all data is available server-side. 4. Test Thoroughly: Test queries after refactoring.
-
Threats Mitigated:
- Denial of Service (DoS) (Severity: Medium): Client-side evaluation can load large datasets into memory.
- Performance Degradation (Severity: Medium): Client-side evaluation is slower.
-
Impact:
- DoS: Significant risk reduction.
- Performance Degradation: Significant performance improvement.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Configure Logging to Exclude Sensitive Data (EF Core Configuration)
Description:
1. Review Logging Configuration: Examine your EF Core logging setup.
2. Adjust Log Level: Set an appropriate log level (e.g., Information
, Warning
).
3. Customize Logging: Use EF Core's logging API to filter out sensitive data, potentially suppressing parameter values in logged SQL.
-
Threats Mitigated:
- Sensitive Data Exposure (Severity: High): Prevents sensitive data from being logged.
-
Impact:
- Sensitive Data Exposure: Significant risk reduction.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Explicitly Specify Updatable Properties (EF Core Change Tracking)
Description:
1. Avoid Update(entity)
with Untrusted Data: Do not use context.Update(entity)
with data directly from user input.
2. Load Entity, Then Update: Load the existing entity from the database, then update only the specific properties that should change.
3. Use Attach
and Set Modified Properties: Alternatively, use context.Attach(entity)
and set the IsModified
flag for changed properties.
4. Code Reviews: Enforce code reviews for safe update practices.
-
Threats Mitigated:
- Over-Posting/Mass Assignment (Severity: Medium/High): Prevents unintended property modifications.
-
Impact:
- Over-Posting/Mass Assignment: Reduces the risk of unintended modifications.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)
Mitigation Strategy: Concurrency Handling (EF Core Feature)
Description:
1. Identify Concurrent Access: Find areas where multiple users might modify the same data.
2. Choose a Concurrency Strategy: Use EF Core's optimistic concurrency.
3. Implement Optimistic Concurrency:
* Add a concurrency token (e.g., RowVersion
column).
* Handle DbUpdateConcurrencyException
: Catch this exception in your SaveChanges
calls.
* Implement a Resolution Strategy (Retry, Inform User, Merge).
4. Test Thoroughly: Test with multiple concurrent users.
-
Threats Mitigated:
- Data Loss (Severity: Medium/High): Prevents lost updates.
- Data Corruption (Severity: High): Prevents inconsistent data.
-
Impact:
- Data Loss/Corruption: Significantly reduces the risk.
-
Currently Implemented:
- (Replace with your project's specifics)
-
Missing Implementation:
- (Replace with your project's specifics)