Mitigation Strategy: Robust Input Validation and Sanitization (for onboard
Configuration and User Input within onboard
Flows)
Description:
- Schema Definition (for
onboard
Configuration): Create a strict schema (JSON Schema, YAML Schema, etc.) that defines the exact structure and allowed data types for theonboard
configuration file. This is crucial because the configuration file dictates the behavior ofonboard
. The schema should specify:- Required fields within the configuration.
- Allowed values for each field (e.g., regular expressions for email formats, allowed step types).
- Data type constraints (string, number, boolean, array, object) for each field.
- Allowed properties for custom steps or components, if
onboard
supports them.
- Schema Validation (of
onboard
Configuration): Integrate a schema validation library into your application. Beforeonboard
processes its configuration, the validator must check the configuration file against the defined schema. If the configuration is invalid (doesn't match the schema), the application must reject it and log a detailed error. This prevents attackers from injecting malicious configurations. - Input Sanitization (within
onboard
Flows): For any user-provided input collected within theonboard
flow itself (e.g., form fields presented byonboard
), sanitize the input to remove or encode potentially harmful characters. Use a well-vetted sanitization library appropriate for the context (HTML, text, etc.). This is distinct from general input sanitization; it's specifically for input handled byonboard
. - Custom Validation Function Sandboxing (if
onboard
supports them): Ifonboard
allows defining custom validation functions within its configuration, run these functions in a sandboxed environment (e.g., a Web Worker in JavaScript) to isolate them from the main application context. This prevents malicious code within a customonboard
validation function from accessing sensitive data or manipulating the DOM outside ofonboard
's intended scope. - Custom Validation Function Auditing (if
onboard
supports them): Manually review the code of all custom validation functions defined within theonboard
configuration for potential vulnerabilities. This is a critical step, as these functions are part of theonboard
flow's logic. - Custom Validation Function Rate Limiting (if
onboard
supports them): Implement rate limiting for custom validation functions used byonboard
to prevent attackers from using them for denial-of-service. This limits the execution frequency of theseonboard
-specific functions.
Threats Mitigated:
- Configuration Injection (Severity: High): Attackers could inject malicious code or unexpected data types into the
onboard
configuration file itself, potentially hijacking the entire onboarding flow, altering its logic, or gaining control of howonboard
interacts with the application. - Cross-Site Scripting (XSS) (Severity: High): Attackers could inject malicious JavaScript code into user input fields presented by
onboard
, which could then be executed in the context of other users' browsers. This is specific to XSS vulnerabilities within theonboard
flow. - Denial-of-Service (DoS) (Severity: Medium): Attackers could use custom validation functions within
onboard
or malformed input toonboard
to trigger computationally expensive operations. - Bypassing Onboarding Steps (Severity: Medium): Attackers could manipulate input provided to
onboard
to bypass required steps in the onboarding flow defined byonboard
.
Impact:
- Configuration Injection: Risk reduced from High to Low (with proper schema validation and enforcement of the
onboard
configuration). - Cross-Site Scripting (XSS): Risk reduced from High to Low (with proper input sanitization of data handled by
onboard
). - Denial-of-Service (DoS): Risk reduced from Medium to Low (with rate limiting and sandboxing of custom validation functions within
onboard
). - Bypassing Onboarding Steps: Risk reduced from Medium to Low (with robust input validation and server-side state validation, specifically validating the state transitions managed by
onboard
).
Currently Implemented:
- Example: Schema validation for the
onboard
configuration file is implemented usingjsonschema
. Input sanitization foronboard
-collected data is partially implemented. - (Fill this in based on your project.)
Missing Implementation:
- Example: Sandboxing of custom validation functions (if used within
onboard
) is not implemented. The input sanitization function foronboard
data needs to be reviewed and potentially replaced. - (Fill this in based on your project.)
Mitigation Strategy: Secure State Management (Specifically for onboard
's State)
Description:
- Server-Side State Validation (of
onboard
's State): Do not rely solely on client-side state managed byonboard
to track the user's progress. The client-side state is easily manipulated. Maintain a parallel state on the server and validate each step transition managed byonboard
against the server-side state. This prevents attackers from manipulatingonboard
's flow. - Signed/Encrypted Client-Side State (if
onboard
stores state client-side): Ifonboard
itself stores any state on the client-side (e.g., in cookies or local storage), ensure that thisonboard
-managed state is:- Signed: Use a cryptographic signature (e.g., HMAC) to prevent tampering with the
onboard
-specific state. - Encrypted: If the
onboard
-managed state contains sensitive information, encrypt it.
- Signed: Use a cryptographic signature (e.g., HMAC) to prevent tampering with the
- Short-Lived State (for
onboard
's identifiers): Ifonboard
uses any internal tokens or identifiers to track progress, ensure these are short-lived. This minimizes the window of opportunity for attackers to misuse them.
Threats Mitigated:
- State Manipulation (within
onboard
) (Severity: High): Attackers could manipulate the client-side state managed byonboard
to bypass steps, replay steps, or inject invalid data, potentially gaining unauthorized access or corrupting data by interfering with theonboard
flow. - Bypassing
onboard
Logic (Severity: High): Directly related to state manipulation, attackers could circumvent the intended flow and logic defined withinonboard
.
Impact:
- State Manipulation (within
onboard
): Risk reduced from High to Low (with server-side validation ofonboard
's state transitions and signed/encrypted client-side state ifonboard
uses it). - Bypassing
onboard
Logic: Risk reduced from High to Low.
Currently Implemented:
- Example: Server-side validation of
onboard
's state transitions is partially implemented. - (Fill this in based on your project.)
Missing Implementation:
- Example: Client-side state used by
onboard
is not signed or encrypted. Server-side validation is incomplete and doesn't cover allonboard
steps. - (Fill this in based on your project.)
Mitigation Strategy: Conditional Logic and Template Review (within onboard
's Configuration)
Description:
- Conditional Logic Review: If
onboard
uses any form of conditional branching or dynamic step generation within its configuration, meticulously review the logic. Ensure there are no unintended paths or vulnerabilities that could be exploited by manipulating input data passed toonboard
. Look for:- Logic flaws that allow skipping steps.
- Conditions that can be manipulated to reveal hidden steps or data.
- Conditions that lead to unexpected or insecure states.
- Template Injection Prevention: If
onboard
uses any templating system to render content within the onboarding flow, ensure that user input passed toonboard
is properly escaped or sanitized to prevent template injection attacks. This is crucial ifonboard
allows dynamic content generation based on user input. Use a templating engine with built-in auto-escaping features, and thoroughly test for injection vulnerabilities. - External Service Interaction Review (if configured within
onboard
): Ifonboard
is configured to interact with external services (e.g., for email verification), ensure that these integrations are secure within theonboard
configuration. Verify that:- API keys are not exposed in the
onboard
configuration (use environment variables or a secure configuration management system). - Responses from external services are validated before being used by
onboard
. - Appropriate error handling is in place for failures in external service interactions within the
onboard
flow.
- API keys are not exposed in the
Threats Mitigated:
- Logic Flaws (within
onboard
) (Severity: High): Errors inonboard
's conditional logic could allow attackers to bypass security checks or access unauthorized features. - Template Injection (within
onboard
) (Severity: High): Ifonboard
uses templates, attackers could inject malicious code into the templates, leading to XSS or other vulnerabilities. - Insecure External Service Interactions (configured via
onboard
) (Severity: Medium to High): Vulnerabilities in howonboard
interacts with external services could be exploited.
Impact:
- Logic Flaws (within
onboard
): Risk reduced from High to Low (with thorough review and testing ofonboard
's conditional logic). - Template Injection (within
onboard
): Risk reduced from High to Low (with proper escaping and sanitization inonboard
's templating). - Insecure External Service Interactions (configured via
onboard
): Risk reduced from Medium/High to Low (with secure configuration and validation of external service interactions withinonboard
).
Currently Implemented:
- Example: Basic review of
onboard
's conditional logic has been performed. - (Fill this in based on your project.)
Missing Implementation:
- Example: Template injection prevention is not fully implemented for
onboard
's dynamic content. External service interactions withinonboard
need a security review. - (Fill this in based on your project.)