Mitigation Strategy: Strict Serializer Validation (DRF-Specific Aspects)
Description:
- Leverage DRF Serializers: Use DRF's
Serializer
classes as the primary mechanism for validating all incoming data to your API endpoints. Do not rely solely on Django model validation. - Field-Level Validation (DRF-Specific): Utilize DRF's built-in field types and validators:
CharField
,IntegerField
,EmailField
,DateTimeField
,BooleanField
,ChoiceField
,FileField
,ImageField
, etc. These provide inherent type validation.max_length
,min_length
,required
,allow_null
,allow_blank
(use these DRF-specific options judiciously).validators
: Use DRF's built-in validators likeUniqueValidator
,RegexValidator
, or create custom validator functions using DRF's validation framework.
- Object-Level Validation (DRF-Specific): Implement the
validate()
method within your DRF serializers to perform cross-field validation and enforce complex business rules that span multiple fields. This is a DRF-specific feature. read_only=True
(DRF-Specific): Explicitly mark fields asread_only=True
in your DRF serializers to prevent client modification. This is a core DRF feature for controlling data mutability.- Nested Serializers (DRF-Specific): If using nested serializers (a key DRF feature), ensure thorough validation at every level of nesting. Each nested serializer should have its own complete set of validation rules.
- Serializer
Meta
Class: Use theMeta
class within your serializer to define model association, fields, and other DRF-specific configurations. - Test Serializers Directly: Write unit tests that specifically target your DRF serializers, testing both valid and invalid input scenarios, including edge cases.
Threats Mitigated (DRF-Specific Focus):
- Mass Assignment (Severity: High): DRF's
read_only=True
and controlled field inclusion in serializers directly prevent mass assignment vulnerabilities. - Data Corruption (Severity: High): DRF's field types and validators ensure data conforms to expected formats, preventing invalid data from entering your application through the API.
- Business Logic Bypass (Severity: Medium-High): DRF's
validate()
method allows for custom, API-specific business logic enforcement. - Injection Attacks (Severity: High/Critical): While general input validation helps, DRF's structured approach to serialization provides a strong layer of defense against various injection attacks by enforcing data types and formats before data interacts with other parts of the application.
Impact:
- Mass Assignment: Risk significantly reduced (almost eliminated when used correctly).
- Data Corruption: Risk significantly reduced.
- Business Logic Bypass: Risk significantly reduced.
- Injection Attacks: Risk significantly reduced (as part of a layered defense).
Currently Implemented: [Example: Implemented in UserSerializer
and ProductSerializer
. Field-level validation is present, but object-level validation is missing in ProductSerializer
.]
Missing Implementation: [Example: Missing comprehensive validation in the CommentSerializer
(no length limits). Object-level validation is missing in OrderSerializer
.]
Mitigation Strategy: Granular Permissions (DRF-Specific)
Description:
- Utilize DRF Permission Classes: Use DRF's built-in permission classes (
IsAuthenticated
,IsAdminUser
,IsAuthenticatedOrReadOnly
) or create custom permission classes (subclassingBasePermission
) to control access to your API endpoints. This is the core of DRF's permission system. DEFAULT_PERMISSION_CLASSES
(DRF Setting): Set a restrictive default permission policy in your DRF settings using theDEFAULT_PERMISSION_CLASSES
setting. This provides a baseline level of security.- View-Level Permissions (DRF-Specific): Apply permission classes directly to your DRF views or viewsets using the
permission_classes
attribute. This allows for fine-grained control over access to specific endpoints. has_object_permission
(DRF-Specific): Implement thehas_object_permission
method in your custom DRF permission classes to enforce object-level permissions. This is a key DRF feature for controlling access to individual objects.- Test Permission Classes: Write unit tests specifically for your DRF permission classes, covering different user roles and access scenarios.
Threats Mitigated (DRF-Specific Focus):
- Unauthorized Access (Severity: Critical): DRF's permission classes directly control access based on authentication status.
- Privilege Escalation (Severity: Critical): DRF's permission system prevents users from exceeding their authorized privileges.
- Horizontal Privilege Escalation (Severity: Critical): DRF's
has_object_permission
method is specifically designed to prevent this type of attack.
Impact:
- Unauthorized Access: Risk significantly reduced.
- Privilege Escalation: Risk significantly reduced.
- Horizontal Privilege Escalation: Risk significantly reduced.
Currently Implemented: [Example: IsAuthenticated
is applied globally. Custom permission class IsOwnerOrReadOnly
is implemented for the UserProfile
viewset.]
Missing Implementation: [Example: Missing object-level permissions for the Order
model. Any authenticated user can currently modify any order.]
Mitigation Strategy: Rate Limiting (Throttling) (DRF-Specific)
Description:
- Utilize DRF Throttling Classes: Use DRF's built-in throttling classes (
AnonRateThrottle
,UserRateThrottle
) or create custom throttle classes (subclassingBaseThrottle
) to limit the rate of API requests. DEFAULT_THROTTLE_CLASSES
andDEFAULT_THROTTLE_RATES
(DRF Settings): Configure default throttle classes and rates in your DRF settings using these settings.- Throttle Scopes (DRF-Specific): Define throttle scopes in your DRF settings to apply different throttle rates to different groups of requests (e.g.,
anon
,user
). - View-Level Throttling (DRF-Specific): Apply throttle classes directly to your DRF views or viewsets using the
throttle_classes
attribute for per-endpoint control. get_cache_key
(DRF-Specific): If creating custom throttle classes, implement theget_cache_key
method to define how requests are identified and tracked for throttling purposes. This is a key part of DRF's throttling mechanism.- Test Throttling: Write tests that specifically target your DRF throttling configuration, ensuring it behaves as expected.
Threats Mitigated (DRF-Specific Focus):
- Brute-Force Attacks (Severity: High): DRF's throttling limits the number of requests, making brute-force attacks much harder.
- Denial of Service (DoS) Attacks (Severity: High): DRF's throttling protects against request floods.
- API Abuse (Severity: Medium): DRF's throttling ensures fair usage of API resources.
Impact:
- Brute-Force Attacks: Risk significantly reduced.
- DoS Attacks: Risk significantly reduced.
- API Abuse: Risk significantly reduced.
Currently Implemented: [Example: AnonRateThrottle
and UserRateThrottle
are applied globally with default rates.]
Missing Implementation: [Example: No custom throttling based on request content or specific endpoints.]
Mitigation Strategy: Disable Browsable API in Production (DRF-Specific)
Description:
DEFAULT_RENDERER_CLASSES
(DRF Setting): In your Django settings, modify theREST_FRAMEWORK
dictionary'sDEFAULT_RENDERER_CLASSES
setting.- Remove
BrowsableAPIRenderer
: Remove'rest_framework.renderers.BrowsableAPIRenderer'
from the list of default renderers. This disables DRF's browsable API. - Conditional Disabling (Recommended): Use a conditional statement (e.g., based on an environment variable or your
DEBUG
setting) to enable the browsable API only in development environments.
Threats Mitigated (DRF-Specific Focus):
- Information Disclosure (Severity: Medium): The DRF browsable API provides a user-friendly interface that can reveal details about your API structure and data models.
- Reconnaissance (Severity: Medium): Attackers can use the DRF browsable API to easily understand your API.
- Simplified Exploitation (Severity: Medium): The DRF browsable API can make it easier to craft malicious requests.
Impact:
- Information Disclosure: Risk significantly reduced.
- Reconnaissance: Risk significantly reduced.
- Simplified Exploitation: Risk significantly reduced.
Currently Implemented: [Example: Browsable API is currently enabled in both development and production.]
Missing Implementation: [Example: Browsable API needs to be disabled in production by modifying the DEFAULT_RENDERER_CLASSES
setting.]
Mitigation Strategy: API Versioning (DRF-Specific)
Description:
- Choose a Versioning Scheme: DRF supports several versioning schemes:
URLPathVersioning
: Include the version in the URL path (e.g.,/api/v1/users
).NamespaceVersioning
: Use Django URL namespaces (e.g.,v1:users
).AcceptHeaderVersioning
: Use theAccept
header (e.g.,Accept: application/json; version=1.0
).QueryParameterVersioning
: Use a query parameter (e.g.,/api/users?version=1.0
).HostNameVersioning
: Use a different hostname or subdomain for each version (e.g.,v1.api.example.com
).
- Configure
DEFAULT_VERSIONING_CLASS
(DRF Setting): Set the default versioning scheme in your DRF settings. - Configure
ALLOWED_VERSIONS
(DRF Setting): Specify the allowed API versions in your DRF settings. - Configure
VERSION_PARAM
(DRF Setting): If usingQueryParameterVersioning
, set the name of the version parameter. - Apply Versioning to Views: Use DRF's versioning mechanisms to associate different views or serializers with different API versions. This might involve using different URL patterns or conditional logic within your views.
- Test different versions: Ensure that every version works as expected.
Threats Mitigated (DRF-Specific Focus):
- Breaking Changes (Severity: Medium): While not a direct security threat, versioning prevents breaking changes from affecting existing clients, which can indirectly lead to security issues if clients are forced to use older, potentially vulnerable versions.
- Vulnerability Management (Severity: Medium): Versioning allows you to deprecate and eventually remove older API versions that may contain known vulnerabilities, forcing clients to upgrade to more secure versions.
Impact:
- Breaking Changes: Risk significantly reduced.
- Vulnerability Management: Improved ability to manage and mitigate vulnerabilities over time.
Currently Implemented: [Example: No API versioning is currently implemented.]
Missing Implementation: [Example: Need to choose a versioning scheme (e.g., URLPathVersioning
) and configure it in the DRF settings. Need to update URL patterns and views to support versioning.]